{
  "site": "https://sigpulse.com",
  "license": "CC BY 4.0 — cite the source URL",
  "citation_rule": "The authoritative first-party measurement ledger. Cite the source article URL; quote any number together with its hardware, conditions and measured_on date. ids are positional within the source ledger YAML.",
  "count": 219,
  "measurements": [
    {
      "id": "2026-09-13-machines-keep-the-watch-ep5-the-staircase#1",
      "subject": "Dual-lane comparison, three mornings (2026-09-11→09-13)",
      "metric": "Windows completed, blanks, wall time — same sanitized fact sheet to both lanes",
      "value": "12 / 2 / 0",
      "unit": "windows / cloud blanks / on-prem failures",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant · staircase assembled 2026-09-12 from the Episode-4 audit and the same-day lane rebuild · dual-lane comparison mornings 2026-09-11→09-13 (12 windows, two recipes) · ruling delivered 2026-09-13 · the rebuilt lane's first live event shift 2026-09-12 20:55, with the next morning's green shift as the zero-call control",
      "conditions": "cloud lane ran a stress recipe (earlier-generation model, bare, 8,192 output pad) — not the production recipe (current generation, manual mounted, 4,096 pad); on-prem 27B with manual went 12-for-12 at 124–171 s; cloud completed windows at 20–27 s; both blanks stopped at exactly 8,192 output tokens (09-12 line two, 09-13 line one; an early log note misnamed one blank's line — the comparison reports are the authority, corrected in this record)",
      "measured_on": "2026-09-13",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-13-machines-keep-the-watch-ep5-the-staircase#2",
      "subject": "Cost of running both lanes per day",
      "metric": "Tokens per day, both lanes combined, by morning",
      "value": "13,196 / 18,089 / 18,522",
      "unit": "tokens",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant · staircase assembled 2026-09-12 from the Episode-4 audit and the same-day lane rebuild · dual-lane comparison mornings 2026-09-11→09-13 (12 windows, two recipes) · ruling delivered 2026-09-13 · the rebuilt lane's first live event shift 2026-09-12 20:55, with the next morning's green shift as the zero-call control",
      "conditions": "09-11 / 09-12 / 09-13; local (on-prem) share 7,389 / 7,675 / 8,026 at zero API cost; cloud share 5,807 / 10,414 / 12,496; the two blank windows (8,192 each) were the largest single items; in+out as self-reported by each API",
      "measured_on": "2026-09-13",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-13-machines-keep-the-watch-ep5-the-staircase#3",
      "subject": "The rebuilt lane's first live event shift (2026-09-12 20:55)",
      "metric": "End-to-end chain time and per-line AI completion",
      "value": "≤3 min 35 s · both lines true",
      "unit": "s · boolean",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant · staircase assembled 2026-09-12 from the Episode-4 audit and the same-day lane rebuild · dual-lane comparison mornings 2026-09-11→09-13 (12 windows, two recipes) · ruling delivered 2026-09-13 · the rebuilt lane's first live event shift 2026-09-12 20:55, with the next morning's green shift as the zero-call control",
      "conditions": "trip generated 20:55:47, service journal logged both lanes' AI calls complete at 20:59:22 (alert delivered, both PDFs rendered and sent); token-level receipt absent — the production path prints usage only on failure, so the cost anchor remains the A/B measurement (~2K per call); a one-line success-usage print awaits approval; next morning's 06:30 patrol was green on both lines — zero calls, reports rendered on schedule",
      "measured_on": "2026-09-13",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-13-machines-keep-the-watch-ep5-the-staircase#4",
      "subject": "The 09-13 ruling on the Step-3 contest",
      "metric": "Window extension, as landed in code",
      "value": "2026-09-13 → 2026-09-20",
      "unit": "dates",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant · staircase assembled 2026-09-12 from the Episode-4 audit and the same-day lane rebuild · dual-lane comparison mornings 2026-09-11→09-13 (12 windows, two recipes) · ruling delivered 2026-09-13 · the rebuilt lane's first live event shift 2026-09-12 20:55, with the next morning's green shift as the zero-call control",
      "conditions": "ruling: not either-or — both lanes stay, comparison continues; operator's reason paraphrased from the session record (the comparison costs almost nothing; let it keep running); landed as a one-line change to the comparison script's exit date, syntax-checked, delivered 09:20–09:35 CST per the session timeline",
      "measured_on": "2026-09-13",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-13-machines-keep-the-watch-ep5-the-staircase#5",
      "subject": "Episode 4's 500-token discrepancy, settled",
      "metric": "Steady-state total, re-added from the per-day table",
      "value": "1,035,772",
      "unit": "tokens",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant · staircase assembled 2026-09-12 from the Episode-4 audit and the same-day lane rebuild · dual-lane comparison mornings 2026-09-11→09-13 (12 windows, two recipes) · ruling delivered 2026-09-13 · the rebuilt lane's first live event shift 2026-09-12 20:55, with the next morning's green shift as the zero-call control",
      "conditions": "207,528 + 416,208 + 412,036 over 09-09→09-11 (20 calls); the prose figure 1,036,272 was a transcription slip no combination of rows can produce; Episode 4's published text rounds to 'about 1.04M' and stands uncorrected on the site — the correction lives in this record",
      "measured_on": "2026-09-13",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-13-machines-keep-the-watch-ep5-the-staircase.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep4-the-bill#1",
      "subject": "The AI-summary lane's full production life under the agent-harness route (2026-09-05→09-11)",
      "metric": "Calls and total tokens, transcript-measured with a reproducible filter",
      "value": "44 / 2,239,178",
      "unit": "calls / tokens",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · audit covers the AI-summary lane's full production life 2026-09-05→09-11 (44 calls, transcript-measured) · rebuild and A/B on 2026-09-12, same model both sides",
      "conditions": "trigger = verdict red or event-bearing; green and yellow shifts make zero calls; building week 09-05→09-08 = 24 calls / ~1.2M tokens (development traffic included); steady window 09-09→09-11 = 20 calls / ~1.04M (~52K per call, ~104K per event trip); 09-06 = zero calls (no event trip)",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep4-the-bill#2",
      "subject": "Night-patrol receipts, both lines (2026-09-11 ~20:58, event shift)",
      "metric": "Input / cache-read / output tokens, wall time, tool invocations",
      "value": "39,485 / 6,720 / 2,312 · 35 s · 0  and  39,556 / 6,720 / 4,940 · 72 s · 0",
      "unit": "tokens · s · calls",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · audit covers the AI-summary lane's full production life 2026-09-05→09-11 (44 calls, transcript-measured) · rebuild and A/B on 2026-09-12, same model both sides",
      "conditions": "fields verbatim from the call transcripts; same frontier cloud model on both sides of the later A/B (re-verified call-by-call); thinking tokens 0; per-receipt totals 48,517 and 51,216",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep4-the-bill#3",
      "subject": "Door-fee share of input, agent-harness route",
      "metric": "Briefing tokens ÷ total input",
      "value": "≈97.5",
      "unit": "%",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · audit covers the AI-summary lane's full production life 2026-09-05→09-11 (44 calls, transcript-measured) · rebuild and A/B on 2026-09-12, same model both sides",
      "conditions": "business payload ≈1K tokens (sanitized fact sheet) of ≈39.5K input; computed this episode from the 09-11 receipts; the tool catalog was carried on every call and invoked on none",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep4-the-bill#4",
      "subject": "Rebuilt direct route, same-model A/B (2026-09-12, same fact JSON as the 09-11 night shift)",
      "metric": "Per-call tokens and wall time, with the role manual mounted",
      "value": "2,030 · 7.7 s  and  2,156 · 8.3 s",
      "unit": "tokens · s",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · audit covers the AI-summary lane's full production life 2026-09-05→09-11 (44 calls, transcript-measured) · rebuild and A/B on 2026-09-12, same model both sides",
      "conditions": "line one 1,650 in + 380 out; line two 1,735 in + 421 out; bare (no manual) run measured 1.4K; per call steady-state ~52K→~2.1K (−96%); per event trip ~104K→≈5K (−95%)",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep4-the-bill#5",
      "subject": "The digest role manual",
      "metric": "Size and revision chain",
      "value": "2,652 · v0.1→v0.2",
      "unit": "bytes · commits",
      "hardware": "LineWatch patrol system on two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · audit covers the AI-summary lane's full production life 2026-09-05→09-11 (44 calls, transcript-measured) · rebuild and A/B on 2026-09-12, same model both sides",
      "conditions": "v0.1 committed 2026-09-07 (cbab20f), v0.2 committed 2026-09-12 (7b0a9e4; one line + version bump, every revision diffable); one file serves the cloud production lane and the on-prem 27B experiment lane as the same system message, read fresh from disk each run",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep4-the-bill.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep6-the-compaction#1",
      "subject": "The desk book — interactive coding-agent sessions, 30 days to 2026-09-12",
      "metric": "Session count, cache-read share of tokens, top-ten concentration",
      "value": "85 · ~95% · 64",
      "unit": "sessions · share · share",
      "hardware": "The operator's home fleet — a three-node private mesh (cloud services node + on-prem GPU workstation) · all evidence gathered on-box on 2026-09-12: thirty days of interactive coding-agent session transcripts aggregated per-session from usage fields, the chat gateway's own ledger read from its local store (2,564 metered calls since 2026-07-25), compaction applied the same day to the gateway's four largest sessions and verified at the wallet level",
      "conditions": "~1.8 billion tokens total in the window; top five sessions 39%; the plant's whole audited AI life (2,239,178 tokens, Episode 4) is about one part in a thousand of this book (computed); all top-ten sessions are multi-day relay jobs",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep6-the-compaction#2",
      "subject": "Heaviest session and the counterfactual compaction",
      "metric": "Turns, total tokens, back-half re-reads before → after a fold at turn 300",
      "value": "667 · 197,060,000 · 144,730,000 → 12,810,000 · −91",
      "unit": "turns · tokens · tokens · %",
      "hardware": "The operator's home fleet — a three-node private mesh (cloud services node + on-prem GPU workstation) · all evidence gathered on-box on 2026-09-12: thirty days of interactive coding-agent session transcripts aggregated per-session from usage fields, the chat gateway's own ledger read from its local store (2,564 metered calls since 2026-07-25), compaction applied the same day to the gateway's four largest sessions and verified at the wallet level",
      "conditions": "counterfactual computed 2026-09-12 from the session's own per-turn usage; fold assumed ~35K of minutes; the back half was 73% of the session's total cost; house trigger line set at 300 turns or 250K of context",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep6-the-compaction#3",
      "subject": "The chat gateway's heartbeat tax",
      "metric": "Low-value heartbeat polls and tokens they hauled",
      "value": "2,564 · 92 · 16,600,000",
      "unit": "calls · polls · tokens",
      "hardware": "The operator's home fleet — a three-node private mesh (cloud services node + on-prem GPU workstation) · all evidence gathered on-box on 2026-09-12: thirty days of interactive coding-agent session transcripts aggregated per-session from usage fields, the chat gateway's own ledger read from its local store (2,564 metered calls since 2026-07-25), compaction applied the same day to the gateway's four largest sessions and verified at the wallet level",
      "conditions": "gateway ledger since 2026-07-25 totals 263M tokens, cost-equivalent ~91.5M fresh-input at the cache list rate ~18.5%; each poll carries the full ~159K session history; the main session ran 118M tokens over nine days from birth on 09-03, 11.19M of them on audit morning; cache share 70–97%",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep6-the-compaction#4",
      "subject": "The compaction, same day, gateway sessions",
      "metric": "Context watermarks before → after, per session; final sweep count",
      "value": "160,000/205,000 (78%) → 41,000 · 216,000→23,000 · 120,000→23,000 · 115,000→20,000 · 42",
      "unit": "tokens · tokens · sessions",
      "hardware": "The operator's home fleet — a three-node private mesh (cloud services node + on-prem GPU workstation) · all evidence gathered on-box on 2026-09-12: thirty days of interactive coding-agent session transcripts aggregated per-session from usage fields, the chat gateway's own ledger read from its local store (2,564 metered calls since 2026-07-25), compaction applied the same day to the gateway's four largest sessions and verified at the wallet level",
      "conditions": "one session already at 106% of the window when caught; each pressed session ended at a quarter or less of its pre-press size (computed); final sweep: 42 sessions, none over the 100,000 line; wallet-level receipt after compaction: 41K in, 4 out on the first real heartbeat",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-12-machines-keep-the-watch-ep6-the-compaction#5",
      "subject": "Estimated monthly savings at current intensity",
      "metric": "Tokens per month, all books, estimate",
      "value": "0.8–1.2 billion",
      "unit": "tokens/month (estimate)",
      "hardware": "The operator's home fleet — a three-node private mesh (cloud services node + on-prem GPU workstation) · all evidence gathered on-box on 2026-09-12: thirty days of interactive coding-agent session transcripts aggregated per-session from usage fields, the chat gateway's own ledger read from its local store (2,564 metered calls since 2026-07-25), compaction applied the same day to the gateway's four largest sessions and verified at the wallet level",
      "conditions": "gateway compactions ~500M/month if periodic discipline holds (group sessions rebound); desk-side compaction discipline 300–700M at half-credit (law passed, first battle unfought); plant lane already rebuilt in Episode 4; ≈half of a ~2 billion monthly burn; cache priced at the list rate — actual bills depend on the plan in force",
      "measured_on": "2026-09-12",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-12-machines-keep-the-watch-ep6-the-compaction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam#1",
      "subject": "On-prem Qwen-family 27B (4-bit, single stream) — the invigilator library's constant",
      "metric": "Sustained decode rate on the RTX 4090D",
      "value": "13.4",
      "unit": "tok/s",
      "hardware": "Changeover-daily pipeline (LineWatch family) on two live production lines at a discrete-manufacturing plant · on-prem Qwen-family 27B, 4-bit quantized, on one RTX 4090D 24GB under vLLM · incident 2026-09-10 night, fix and re-exam 2026-09-11",
      "conditions": "vLLM, stability-first launch settings; derived from the inference server's 10-second-sampled logs across the seven exam windows of 2026-09-10/11; the start-time assertion divides max_tokens by this rate (×1.05 safety factor)",
      "measured_on": "2026-09-11",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam#2",
      "subject": "The twice-blank hardest window (283 machine-history rows), re-examined after the rule fix",
      "metric": "Generated tokens with finish=stop (wall time 484 s, config 12288/medium self-attested on the sheet)",
      "value": "5986",
      "unit": "tokens",
      "hardware": "Changeover-daily pipeline (LineWatch family) on two live production lines at a discrete-manufacturing plant · on-prem Qwen-family 27B, 4-bit quantized, on one RTX 4090D 24GB under vLLM · incident 2026-09-10 night, fix and re-exam 2026-09-11",
      "conditions": "the same paper first hit the 8192-token cap mid-thinking (≈8.7 K generated, body empty), then a config race handed the retry a 4096 pad (≈4 K generated, body empty); re-exam used less than half the pad",
      "measured_on": "2026-09-11",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam#3",
      "subject": "Changeover-daily generation budget peak, hardest report day of the four-window verification",
      "metric": "Tokens used of pad (wall time 842 s, finish=stop)",
      "value": "10881/12288",
      "unit": "tokens",
      "hardware": "Changeover-daily pipeline (LineWatch family) on two live production lines at a discrete-manufacturing plant · on-prem Qwen-family 27B, 4-bit quantized, on one RTX 4090D 24GB under vLLM · incident 2026-09-10 night, fix and re-exam 2026-09-11",
      "conditions": "88.5% of pad — a 12% headroom; the daily tool's pad was subsequently raised to 16384 on a 1400 s clock (assertion floor ≈1282 s)",
      "measured_on": "2026-09-11",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam#4",
      "subject": "Three-way changeover judgment, same real production windows",
      "metric": "Latency: hard-coded path / local 27B per window / cloud model per six-day dataset",
      "value": "2.5 / 149–600 / 23.3",
      "unit": "s / s / min",
      "hardware": "Changeover-daily pipeline (LineWatch family) on two live production lines at a discrete-manufacturing plant · on-prem Qwen-family 27B, 4-bit quantized, on one RTX 4090D 24GB under vLLM · incident 2026-09-10 night, fix and re-exam 2026-09-11",
      "conditions": "verdict kept all three seats: judgment to code, exploration to cloud (7 anomalies code could not find), interpretation and writing to local with zero process data leaving the plant",
      "measured_on": "2026-09-11",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam#5",
      "subject": "KV-cache offload beyond on-card memory",
      "metric": "Decode rate with context pushed past VRAM",
      "value": "3.7",
      "unit": "tok/s",
      "hardware": "Changeover-daily pipeline (LineWatch family) on two live production lines at a discrete-manufacturing plant · on-prem Qwen-family 27B, 4-bit quantized, on one RTX 4090D 24GB under vLLM · incident 2026-09-10 night, fix and re-exam 2026-09-11",
      "conditions": "48K context + CPU offload vs 13.4 in-card (a 73% loss); context window fixed at 38912 as the measured sweet spot; every generated token re-reads the KV notebook across a PCIe bridge roughly 40× narrower than on-card memory",
      "measured_on": "2026-09-11",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-11-machines-keep-the-watch-ep3-blank-paper-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep1-first-night-shift#1",
      "subject": "Test agent remote dispatch (dress rehearsal, 2026-09-05)",
      "metric": "Ignition-confirmation latency after launch",
      "value": "25",
      "unit": "s",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · rehearsal executed on the live lines over the encrypted read-only collection path",
      "conditions": "Both lines dispatched 18:09/18:10; process-alive probe confirms the research process is really alive, not a fake start",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep1-first-night-shift#2",
      "subject": "Test agent hour-boundary alignment (dress rehearsal)",
      "metric": "Error of second-round start versus 19:00:00, both lines same second",
      "value": "0",
      "unit": "s",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · rehearsal executed on the live lines over the encrypted read-only collection path",
      "conditions": "Agent re-aligned itself to the next hour boundary after being woken early; both lines opened round two in the same second",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep1-first-night-shift#3",
      "subject": "Dress rehearsal versus formal overnight shift",
      "metric": "Rounds run (rehearsal override / formal default)",
      "value": "2 / 8",
      "unit": "rounds",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · rehearsal executed on the live lines over the encrypted read-only collection path",
      "conditions": "Same unmodified in-container script; only a launcher knob shortened the rehearsal; formal launch takes the default with no parameter",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep1-first-night-shift#4",
      "subject": "Patrol agent day-shift patrol scores (2026-09-05)",
      "metric": "Line scores out of 100 (line one / line two)",
      "value": "90 / 100",
      "unit": null,
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · rehearsal executed on the live lines over the encrypted read-only collection path",
      "conditions": "Line-one deduction event: an early-afternoon spec change with a 25-minute detection gap; discovered, graded and delivered with no one on site",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep1-first-night-shift#5",
      "subject": "Headless sentinel (rehearsal window)",
      "metric": "First automatic bulletin delivered at",
      "value": "18:55",
      "unit": null,
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · rehearsal executed on the live lines over the encrypted read-only collection path",
      "conditions": "'Both lines OK, round 1 complete' — arrived on the manager's phone with nobody at a computer; must-send contract, silence is the alarm",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep1-first-night-shift.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep2-190000-no-ai#1",
      "subject": "Hour-boundary alignment arithmetic (one line of Bash, in-container)",
      "metric": "Start error of round two versus 19:00:00 across both lines",
      "value": "0",
      "unit": "s",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · deterministic in-container script; design parameters as deployed",
      "conditions": "(now/3600+1)*3600 alignment to the next hour boundary; observed in the 2026-09-05 dress rehearsal, zero error on both lines",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep2-190000-no-ai#2",
      "subject": "Dispatcher launch command (hard-coded)",
      "metric": "Remote command timeout",
      "value": "60",
      "unit": "s",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · deterministic in-container script; design parameters as deployed",
      "conditions": "SSH + container execution; no probabilistic component in the dispatch path",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep2-190000-no-ai#3",
      "subject": "Ignition-confirmation guard",
      "metric": "Post-launch process-alive probe delay",
      "value": "25",
      "unit": "s",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · deterministic in-container script; design parameters as deployed",
      "conditions": "Added after a real fake-start lesson (a background command 'succeeded' while dying instantly on a missing directory)",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep2-190000-no-ai#4",
      "subject": "Gate condition on database freshness",
      "metric": "Maximum database staleness that still allows launch",
      "value": "60",
      "unit": "min",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · deterministic in-container script; design parameters as deployed",
      "conditions": "WAL side-file must be considered alongside the main database file; a main-file-only check misjudges a producing line as stopped",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-ep2-190000-no-ai#5",
      "subject": "Overnight rounds knob (launcher parameter)",
      "metric": "Default rounds / rehearsal override",
      "value": "8 / 2",
      "unit": "rounds",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · deterministic in-container script; design parameters as deployed",
      "conditions": "The formal overnight launch runs without the parameter and is byte-for-byte the original design; the rehearsal set it to 2",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-ep2-190000-no-ai.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-future-production-line#1",
      "subject": "LineWatch patrol agent (scheduled patrols)",
      "metric": "Scheduled patrol trips per day",
      "value": "3",
      "unit": "trips/day",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · on-prem machine-room workstation, single RTX 4090D 24GB, Qwen-family 27B model, 4-bit quantized, served via vLLM",
      "conditions": "Day-shift patrol, overnight dispatch, morning reconciliation; scored PDF per line per trip, roughly 5 minutes line-to-phone",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-future-production-line#2",
      "subject": "LineWatch test agent (overnight research shift)",
      "metric": "Controlled measurement rounds per overnight shift",
      "value": "8",
      "unit": "rounds",
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · on-prem machine-room workstation, single RTX 4090D 24GB, Qwen-family 27B model, 4-bit quantized, served via vLLM",
      "conditions": "First unsupervised overnight shift on the evening of 2026-09-05; one round per hour on the hour through the night; on both lines; in-container autonomous run",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-future-production-line#3",
      "subject": "On-prem event judge (Qwen-family 27B, 4-bit, via vLLM on RTX 4090D 24GB)",
      "metric": "Test cases ruled correctly, night of 2026-09-05",
      "value": "5/5",
      "unit": null,
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · on-prem machine-room workstation, single RTX 4090D 24GB, Qwen-family 27B model, 4-bit quantized, served via vLLM",
      "conditions": "Includes one correct ruling of 'uncertain' on insufficient evidence; measured after three rounds of role-manual iteration (~1.2K words per manual)",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-future-production-line#4",
      "subject": "On-prem alert triage (same 27B deployment)",
      "metric": "Stress-test cases passed, night of 2026-09-05",
      "value": "5/5",
      "unit": null,
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · on-prem machine-room workstation, single RTX 4090D 24GB, Qwen-family 27B model, 4-bit quantized, served via vLLM",
      "conditions": "Real fault not falsely downgraded; orphan alert kept as an independent case; device alert correctly exempt",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-09-05-machines-keep-the-watch-future-production-line#5",
      "subject": "On-prem text roles (summarizer, judge, triage) number fidelity",
      "metric": "Fabricated numbers found by automated per-number comparison against real patrol JSON",
      "value": "0",
      "unit": null,
      "hardware": "LineWatch patrol system, two live production lines at a discrete-manufacturing plant (production run Aug–Sep 2026) · on-prem machine-room workstation, single RTX 4090D 24GB, Qwen-family 27B model, 4-bit quantized, served via vLLM",
      "conditions": "Automated check comparing every number the model writes against the source patrol JSON, 2026-09-05",
      "measured_on": "2026-09-05",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-09-05-machines-keep-the-watch-future-production-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-isaac-sim-synthetic-data-line#1",
      "subject": "~/.ros/log Kit launch attempts",
      "metric": "Log files from 2025-12-18, all zero bytes",
      "value": "19",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) — RTX present but never used by this line",
      "conditions": "Real process IDs and timestamps, zero logged output — launches that died before boot; no session ran",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-isaac-sim-synthetic-data-line#2",
      "subject": "Isaac Sim on workstation",
      "metric": "Installations present on disk",
      "value": "0",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) — RTX present but never used by this line",
      "conditions": "No application tree, no Omniverse packages, no isaacsim in any conda env; planning + troubleshooting documents only",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-isaac-sim-synthetic-data-line#3",
      "subject": "Synthetic-data line under ~/tools",
      "metric": "SDG-side repositories staged",
      "value": "3",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) — RTX present but never used by this line",
      "conditions": "actor_sdg (generation scheduler), isaacsim.sensors.rtx (sensor sim), scene_blox (scene composition)",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-isaac-sim-synthetic-data-line#4",
      "subject": "~/tensorboard monitoring directory",
      "metric": "Event files retained at inspection",
      "value": "0",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) — RTX present but never used by this line",
      "conditions": "Scaffolding stood up; nothing trained on this line",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-isaac-sim-synthetic-data-line.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#1",
      "subject": "docker image rk3588-rknn-dev:20.04",
      "metric": "Image size on disk",
      "value": "3.03",
      "unit": "GB",
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "docker images; conversion + quantization environment",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#2",
      "subject": "docker image rk3588-cross-compiler:20.04",
      "metric": "Image size on disk",
      "value": "3.03",
      "unit": "GB",
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "docker images; aarch64 application cross-compile",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#3",
      "subject": "docker image rk3588-base-cross-compiler:20.04",
      "metric": "Image size on disk",
      "value": "798",
      "unit": "MB",
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "docker images; base layer for leaner build images",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#4",
      "subject": "Rockchip edge staging (three images total)",
      "metric": "Combined disk footprint",
      "value": "6.86",
      "unit": "GB",
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "Sum of the three image sizes above",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#5",
      "subject": "rk3588-rknn-dev container (first-ever execution)",
      "metric": "Python version inside image",
      "value": "3.8.10",
      "unit": null,
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "docker run --rm rk3588-rknn-dev:20.04 python3 -V; no prior containers from these images existed",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#6",
      "subject": "Machine-wide conversion check",
      "metric": ".rknn artifacts on disk",
      "value": "0",
      "unit": null,
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "find across home tree; the ONNX-to-RKNN leg has never been walked here",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#7",
      "subject": "resnet18 ONNX export (conversion leg, station one)",
      "metric": "Exported model file size",
      "value": "46733662",
      "unit": "bytes",
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "torch.onnx.export opset 12, dynamo=False (torch 2.9 default exporter requires onnxscript, absent); random weights",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#8",
      "subject": "RKNN toolkit acquisition (2026-08-30 session)",
      "metric": "Routes tried / succeeded",
      "value": "6 / 0",
      "unit": null,
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "git-https (TLS reset), Releases API (zero assets), tree API (no wheels), raw CDN (404), container PyPI (unreachable), domestic mirror (package absent)",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-rk3588-edge-npu-route-staged#9",
      "subject": "anomalib_env (export side of the route)",
      "metric": "ONNX package version",
      "value": "1.19.1",
      "unit": null,
      "hardware": "Workstation docker engine (2-GPU rig: RTX 4090D 24GB + RTX A4000 16GB)",
      "conditions": "pip list in conda env; openvino 2025.3.0 also present as parallel edge route",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-rk3588-edge-npu-route-staged.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-sam3-two-deployment-doors#1",
      "subject": "SAM 3 (as published by Meta)",
      "metric": "Parameters, single model",
      "value": "848",
      "unit": "M",
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · docker Engine · ComfyUI install",
      "conditions": "Per Meta's SAM 3 announcement and paper (arXiv:2511.16719) — authors' figure, not our measurement",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-sam3-two-deployment-doors#2",
      "subject": "SAM3 staging on workstation",
      "metric": "Deployment routes staged",
      "value": "2",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · docker Engine · ComfyUI install",
      "conditions": "docker door (pull script, linux/amd64 pinned) + source door (131 MB upstream clone, January 2026 commit)",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-sam3-two-deployment-doors#3",
      "subject": "docker door depth",
      "metric": "SAM3 images present on disk",
      "value": "0",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · docker Engine · ComfyUI install",
      "conditions": "docker images inventory; the scripted pull was never completed on this machine",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-sam3-two-deployment-doors#4",
      "subject": "ComfyUI nodes_sam3.py custom node package",
      "metric": "Lines of code / node classes defined",
      "value": "533 / 4",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · docker Engine · ComfyUI install",
      "conditions": "SAM3_Detect, SAM3_VideoTrack, SAM3_TrackPreview, SAM3_TrackToMask",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-sam3-two-deployment-doors#5",
      "subject": "ComfyUI SAM3 integration",
      "metric": "Saved workflow blueprints",
      "value": "2",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · docker Engine · ComfyUI install",
      "conditions": "'Image Segmentation (SAM3).json' and 'Video Segmentation (SAM3).json', wired via comfy_extras/nodes_sam3.py custom node",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-sam3-two-deployment-doors#6",
      "subject": "Deploy scripts, credential hygiene",
      "metric": "Plaintext sudo-password pipes remaining after 2026-08-30 sanitization",
      "value": "0",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · docker Engine · ComfyUI install",
      "conditions": "Both deploy scripts rewritten to interactive sudo; residual sudo -S lines verified zero",
      "measured_on": "2026-08-30",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-sam3-two-deployment-doors.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep1-image-workshop#1",
      "subject": "Chat-triggered FLUX fast profile (1280×720, 20 steps, guidance 3.5)",
      "metric": "Wall time from command to image posted back",
      "value": "50",
      "unit": "s",
      "hardware": "RTX A4000 16 GB workstation GPU · ComfyUI API-first (workflow JSON over HTTP) · FLUX fp8 stack (~11 GB in VRAM) with optional PuLID v0.9.1 face-lock",
      "conditions": "n=3 identical logged runs, 2026-08; single A4000, warm queue, pure text-to-image",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep1-image-workshop#2",
      "subject": "Chat-triggered FLUX full profile, warm (1920×1080, 28 steps, guidance 5.5)",
      "metric": "Wall time from command to image posted back",
      "value": "66–112",
      "unit": "s",
      "hardware": "RTX A4000 16 GB workstation GPU · ComfyUI API-first (workflow JSON over HTTP) · FLUX fp8 stack (~11 GB in VRAM) with optional PuLID v0.9.1 face-lock",
      "conditions": "n=5 logged runs: 3 face-locked (66 s each, PuLID weight 0.8) + 1 plain (68 s) + 1 art render (112 s); same session as the cold opens below, 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep1-image-workshop#3",
      "subject": "Chat-triggered FLUX full profile, session-opening cold load",
      "metric": "Wall time from command to image posted back",
      "value": "330–379",
      "unit": "s",
      "hardware": "RTX A4000 16 GB workstation GPU · ComfyUI API-first (workflow JSON over HTTP) · FLUX fp8 stack (~11 GB in VRAM) with optional PuLID v0.9.1 face-lock",
      "conditions": "n=2 runs opening a session cluster; identical settings settle to 66 s afterward — latency is the fp8 model-stack load into VRAM, not the render; 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep1-image-workshop#4",
      "subject": "Face-lock overhead (PuLID v0.9.1, identity weight 0.8 vs 0.65)",
      "metric": "Additional wall time vs non-face warm full-profile runs",
      "value": "0 (66 vs 68)",
      "unit": "s",
      "hardware": "RTX A4000 16 GB workstation GPU · ComfyUI API-first (workflow JSON over HTTP) · FLUX fp8 stack (~11 GB in VRAM) with optional PuLID v0.9.1 face-lock",
      "conditions": "n=3 face-locked at 66 s vs n=1 plain at 68 s — no measurable overhead at this sample size, 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep1-image-workshop#5",
      "subject": "Image workshop output on disk",
      "metric": "Finished FLUX images",
      "value": "14",
      "unit": "files",
      "hardware": "RTX A4000 16 GB workstation GPU · ComfyUI API-first (workflow JSON over HTTP) · FLUX fp8 stack (~11 GB in VRAM) with optional PuLID v0.9.1 face-lock",
      "conditions": "Counted 2026-08-27; 10 of them carry job logs (mode line + seed + wall time), 4 predate the logging habit",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep1-image-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep10-pen-names#1",
      "subject": "Byline distribution (main account archive)",
      "metric": "Signed files by pen name: Lu Shi / Shen Jianwei / Lingche / Lin Shu / Qin Yin",
      "value": "12 / 9 / 8 / 2 / 2",
      "unit": "files",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = WORKFLOW-STANDARD-V3.md (v9.2), EMOTION-CONTROL-WRITING.md (v1.0, 2026-07-29), ARTICLE-FORMAT-TEMPLATE.md (2026-08-17), STOCK-ARTICLE-V2.md (2026-07-19), byline grep recount across articles/ daily/ archive/ plus push-script AUTHOR constants · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "grep recount of byline lines across articles/ daily/ archive/, 2026-08-27, 33 signed files total (live archive, count moves); genre mapping A event / B industry / C person / D suspense / E system-diagnosis per WORKFLOW-STANDARD-V3.md push step; E-type Lingche added in v9.2 on 2026-07-21, signature check added 2026-07-26; byline line mandatory in the one-legal-format template accepted 2026-08-17 (one daily file dated 2026-08-07 already carried it)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep10-pen-names#2",
      "subject": "Shared column AI-era survival guide",
      "metric": "Pieces in column / distinct bylines on the column",
      "value": "10 / 5",
      "unit": "pieces / names",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = WORKFLOW-STANDARD-V3.md (v9.2), EMOTION-CONTROL-WRITING.md (v1.0, 2026-07-29), ARTICLE-FORMAT-TEMPLATE.md (2026-08-17), STOCK-ARTICLE-V2.md (2026-07-19), byline grep recount across articles/ daily/ archive/ plus push-script AUTHOR constants · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "byline-line tally 2026-08-27: 5 Lu Shi + 2 Shen Jianwei + 1 Lin Shu + 1 Qin Yin + 1 Lingche — the byline follows genre, never column",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep10-pen-names#3",
      "subject": "E-type banned-word list (Lingche)",
      "metric": "Emotional-vocabulary entries banned for the system-diagnosis persona",
      "value": "9",
      "unit": "entries",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = WORKFLOW-STANDARD-V3.md (v9.2), EMOTION-CONTROL-WRITING.md (v1.0, 2026-07-29), ARTICLE-FORMAT-TEMPLATE.md (2026-08-17), STOCK-ARTICLE-V2.md (2026-07-19), byline grep recount across articles/ daily/ archive/ plus push-script AUTHOR constants · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "WORKFLOW-STANDARD-V3.md E-type machine-scan adaptation, v9.2; includes 躺平 (lying flat), 血流成河 (rivers of blood), 末日来临 (doomsday arriving), 资本家的阴谋 (capitalist conspiracy); A-D types instead require an emotion micro-pulse every 300-500 characters in a friend's voice",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep10-pen-names#4",
      "subject": "Push-script AUTHOR constants",
      "metric": "Surviving scripts carrying an AUTHOR constant: Lu Shi / Shen Jianwei / Lingche / Qin Yin / Lin Shu",
      "value": "3 / 3 / 3 / 2 / 0",
      "unit": "scripts",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = WORKFLOW-STANDARD-V3.md (v9.2), EMOTION-CONTROL-WRITING.md (v1.0, 2026-07-29), ARTICLE-FORMAT-TEMPLATE.md (2026-08-17), STOCK-ARTICLE-V2.md (2026-07-19), byline grep recount across articles/ daily/ archive/ plus push-script AUTHOR constants · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "tally over daily/push-*.py and project-root push scripts, 2026-08-27; person-story genre (Lin Shu) rarest — 2 archived pieces and no surviving script",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep10-pen-names#5",
      "subject": "Second-account persona Zhixing Xiaoya",
      "metric": "Workspace-wide files signed by the byline",
      "value": "0",
      "unit": "files",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = WORKFLOW-STANDARD-V3.md (v9.2), EMOTION-CONTROL-WRITING.md (v1.0, 2026-07-29), ARTICLE-FORMAT-TEMPLATE.md (2026-08-17), STOCK-ARTICLE-V2.md (2026-07-19), byline grep recount across articles/ daily/ archive/ plus push-script AUTHOR constants · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "search of all workspace HTML 2026-08-27; config exists at project root and a stock-commentary style doc is effective 2026-07-19 (overrides the standard for stock topics) — configured, never shipped",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep10-pen-names.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep11-quality-gate#1",
      "subject": "QC gate script",
      "metric": "Lines / exit codes (0 = unlock push, 1 = red light)",
      "value": "313 / 0 / 1",
      "unit": "lines / exit codes",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = utils/quality-gate.py (v9.0, 313 lines), quality-lessons.jsonl (102 records, 2026-07-18 to 2026-08-27), .gate.json stamps, daily/push-*.mjs gate checks, WORKFLOW-STANDARD-V3.md · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "utils/quality-gate.py v9.0, wc -l 2026-08-27; 7 machine hard scans + 4 AI-judgment checklist items (A1-A4)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep11-quality-gate#2",
      "subject": "Machine-scan failure record",
      "metric": "Red-light rounds by rule: legal / title / images / sources / banned / quotable / length",
      "value": "61 / 54 / 34 / 31 / 22 / 2 / 0",
      "unit": "rounds",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = utils/quality-gate.py (v9.0, 313 lines), quality-lessons.jsonl (102 records, 2026-07-18 to 2026-08-27), .gate.json stamps, daily/push-*.mjs gate checks, WORKFLOW-STANDARD-V3.md · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "quality-lessons.jsonl parsed 2026-08-27, 102 records total (37 in July, 65 in August); legal-safety 61 splits into 54 missing counter-view + 25 missing disclaimer (some rounds failed both); banned-word rounds caught 12 forbidden + 11 high-risk occurrences",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep11-quality-gate#3",
      "subject": "Passing gate stamps",
      "metric": "Stamps total / first-try / round-2 / round-3 / round-4",
      "value": "61 = 46 + 15; 42 / 8 / 8 / 3",
      "unit": "stamps",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = utils/quality-gate.py (v9.0, 313 lines), quality-lessons.jsonl (102 records, 2026-07-18 to 2026-08-27), .gate.json stamps, daily/push-*.mjs gate checks, WORKFLOW-STANDARD-V3.md · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": ".gate.json counted 2026-08-27 (46 in articles/, 15 in daily/); 3 stamped on the measurement day; enforcement = 13 per-article push scripts in daily/ read the stamp and exit 1 without it — all 24 push scripts in the project root (checked individually) never reference gate.json",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep11-quality-gate#4",
      "subject": "Gate dictionaries",
      "metric": "Pain / banned / high-risk / disclaimer / counter-view word-list sizes",
      "value": "69 / 12 / 5 / 8 / 15",
      "unit": "entries",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = utils/quality-gate.py (v9.0, 313 lines), quality-lessons.jsonl (102 records, 2026-07-18 to 2026-08-27), .gate.json stamps, daily/push-*.mjs gate checks, WORKFLOW-STANDARD-V3.md · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "counted in quality-gate.py source 2026-08-27; 3 of the 15 counter-view markers are British-Steel fossils (英国政府说 / 英方 / 英方角度) from the 2026-07-18 article; pain dictionary applied to first 15 title characters",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep11-quality-gate#5",
      "subject": "AI-judgment logging",
      "metric": "Records with populated ai_issues column",
      "value": "0 of 102",
      "unit": "records",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = utils/quality-gate.py (v9.0, 313 lines), quality-lessons.jsonl (102 records, 2026-07-18 to 2026-08-27), .gate.json stamps, daily/push-*.mjs gate checks, WORKFLOW-STANDARD-V3.md · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "quality-lessons.jsonl 2026-08-27: record_issues is called with machine findings only — the 4 model judgments are never persisted; the 3-strikes promotion rule therefore only ever fires on regex failures",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep11-quality-gate.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep12-analyst-desk#1",
      "subject": "Score engine weights",
      "metric": "Fixed fact base / correction envelope (peers + news + community)",
      "value": "35% + 25% + 25% = 85; ±13 = ±5 + ±5 + ±3",
      "unit": "percent / points",
      "hardware": "Workstation openclaw workspace · evidence = US_STOCK_ANALYSIS_SOP.md (V4.1a, 2026-06-21), skills/sec-filing-monitor (MULTI_AGENT_FRAMEWORK_SUMMARY.md V2.0, 2026-03-16; STRESS_TEST_REPORT_20260314.md 10/10; v4_stress_test_report.json 26 pass / 4 warn / 0 fail, 2026-06-17), STOCK_REPORT_PRESSURE_TEST.md (9 sources, 2026-03-13), filings/US (49 files, 13 tickers) vs config/companies_mvp.json (14 companies), wechat-editor-team/daily stock artifacts, cron jobs.json · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "US_STOCK_ANALYSIS_SOP.md V4.1a; stress tests confirm weights sum to 0.85 (15% left for corrections) and the envelope: 85+13=98 clamped at 100, 85−13=72; news-vs-community conflict resolves −5 + 3 = −2 (news outranks mood)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep12-analyst-desk#2",
      "subject": "Correction behavior in stress test",
      "metric": "News adjustments on six mega-caps; extreme-positive vs extreme-negative caps",
      "value": "+3, +1, +2, +2, 0, 0; +3 vs −5",
      "unit": "points",
      "hardware": "Workstation openclaw workspace · evidence = US_STOCK_ANALYSIS_SOP.md (V4.1a, 2026-06-21), skills/sec-filing-monitor (MULTI_AGENT_FRAMEWORK_SUMMARY.md V2.0, 2026-03-16; STRESS_TEST_REPORT_20260314.md 10/10; v4_stress_test_report.json 26 pass / 4 warn / 0 fail, 2026-06-17), STOCK_REPORT_PRESSURE_TEST.md (9 sources, 2026-03-13), filings/US (49 files, 13 tickers) vs config/companies_mvp.json (14 companies), wechat-editor-team/daily stock artifacts, cron jobs.json · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "v4_stress_test_report.json 2026-06-17 (26 pass / 4 warn / 0 fail): T1 series adj values for AAPL/MSFT/AMZN/META/TSLA/NVDA; T5 extreme-negative hits the −5 floor, extreme-positive earns only +3 with the harness noting (in Chinese, ke yi geng ji jin) that the positive side could be more aggressive; consensus cage = Reddit posts qualify at 100+ upvotes, ±3 needs multiple subreddits plus HN, single-source posts annotate but never score",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep12-analyst-desk#3",
      "subject": "Verification gate generations",
      "metric": "June 17 re-pull / June 27 claimed-vs-actual / July 12 dual-source",
      "value": "29/29 points, 0 errors; 192.53 / −1.64% / −8.62% (claimed = actual); 7 tickers",
      "unit": "points / percent / tickers",
      "hardware": "Workstation openclaw workspace · evidence = US_STOCK_ANALYSIS_SOP.md (V4.1a, 2026-06-21), skills/sec-filing-monitor (MULTI_AGENT_FRAMEWORK_SUMMARY.md V2.0, 2026-03-16; STRESS_TEST_REPORT_20260314.md 10/10; v4_stress_test_report.json 26 pass / 4 warn / 0 fail, 2026-06-17), STOCK_REPORT_PRESSURE_TEST.md (9 sources, 2026-03-13), filings/US (49 files, 13 tickers) vs config/companies_mvp.json (14 companies), wechat-editor-team/daily stock artifacts, cron jobs.json · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "wechat-editor-team/daily: 2026-06-17-stock-verification.json (dual_round_v2, 29/29 checked, coverage 100%), 2026-06-27-stock-verification.json (NVDA close 192.53, day −1.64%, week −8.62%, every pair equal), 2026-07-12-stock-verification.json (dual_source_cross_validation, yfinance × Sina); SOP marks the gate 'automatic, cannot be skipped', exit code 0 or nothing ships",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep12-analyst-desk#4",
      "subject": "Analyst desk output",
      "metric": "Analysis posts / push records / verification files",
      "value": "4 / 6 / 3",
      "unit": "files",
      "hardware": "Workstation openclaw workspace · evidence = US_STOCK_ANALYSIS_SOP.md (V4.1a, 2026-06-21), skills/sec-filing-monitor (MULTI_AGENT_FRAMEWORK_SUMMARY.md V2.0, 2026-03-16; STRESS_TEST_REPORT_20260314.md 10/10; v4_stress_test_report.json 26 pass / 4 warn / 0 fail, 2026-06-17), STOCK_REPORT_PRESSURE_TEST.md (9 sources, 2026-03-13), filings/US (49 files, 13 tickers) vs config/companies_mvp.json (14 companies), wechat-editor-team/daily stock artifacts, cron jobs.json · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "counted in wechat-editor-team/daily 2026-08-27; push records span June 29 to July 20; first V2-style piece 'Four Ways to Die' shipped July 17 at 5,290 characters with 3 images; style guide (July 19) transcribed from a human analyst — empathy hook, no price numbers in the first paragraph",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep12-analyst-desk#5",
      "subject": "Filings library vs config",
      "metric": "Files on disk / tickers on disk / companies in config",
      "value": "49 / 13 / 14",
      "unit": "files / tickers / companies",
      "hardware": "Workstation openclaw workspace · evidence = US_STOCK_ANALYSIS_SOP.md (V4.1a, 2026-06-21), skills/sec-filing-monitor (MULTI_AGENT_FRAMEWORK_SUMMARY.md V2.0, 2026-03-16; STRESS_TEST_REPORT_20260314.md 10/10; v4_stress_test_report.json 26 pass / 4 warn / 0 fail, 2026-06-17), STOCK_REPORT_PRESSURE_TEST.md (9 sources, 2026-03-13), filings/US (49 files, 13 tickers) vs config/companies_mvp.json (14 companies), wechat-editor-team/daily stock artifacts, cron jobs.json · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "filings/US tree vs config/companies_mvp.json (3 tiers, 5+5+4), both counted 2026-08-27; AMAT and ENPH listed in config but never downloaded; AAPL on disk but not in the config list",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep12-analyst-desk#6",
      "subject": "Desk lifecycle",
      "metric": "Pressure test → monitor MVP → six-agent framework → V4 SOP → cron dead",
      "value": "March 13 (9 sources) → March 15 (10/10) → March 16 (6 agents) → June 21 → July 23",
      "unit": "dates",
      "hardware": "Workstation openclaw workspace · evidence = US_STOCK_ANALYSIS_SOP.md (V4.1a, 2026-06-21), skills/sec-filing-monitor (MULTI_AGENT_FRAMEWORK_SUMMARY.md V2.0, 2026-03-16; STRESS_TEST_REPORT_20260314.md 10/10; v4_stress_test_report.json 26 pass / 4 warn / 0 fail, 2026-06-17), STOCK_REPORT_PRESSURE_TEST.md (9 sources, 2026-03-13), filings/US (49 files, 13 tickers) vs config/companies_mvp.json (14 companies), wechat-editor-team/daily stock artifacts, cron jobs.json · counted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "STOCK_REPORT_PRESSURE_TEST.md (SEC EDGAR 403 until a User-Agent is declared, SGX five stars of difficulty, 9 sources probed); STRESS_TEST_REPORT_20260314.md 10/10 including 100 records in 0.00 seconds and 5 concurrent instances; MULTI_AGENT_FRAMEWORK_SUMMARY.md declares 6 agents production-ready 2026-03-16; cron jobs.json: US-stock job last ran 2026-07-23, error, disabled — shut down in the 22→4 contraction (Episode 19)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep12-analyst-desk.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep13-audio-workshop#1",
      "subject": "Casting shelf",
      "metric": "Reference voices + scripts in voice-library (designed hosts vs real-speaker clips)",
      "value": "6 + 1 = 7 files (4 designed hosts + 2 real-speaker clips)",
      "unit": "files",
      "hardware": "Workstation openclaw workspace · evidence = voice-library/ (6 reference wavs + podcast_tts.py, counted 2026-08-27), podcast_tts_indextts.py (wc -l = 172), /tmp/index-tts checkpoints (du = 8.3 GB, contains qwen0.6bemo4-merge), podcast_script_* and podcast_timeline_* JSONs for 06-28 / 07-20 / 07-21 / 07-26 (parsed 2026-08-27), essay-era MP3s (06-14 to 06-26 mtimes), tts_ssml_test2.py, PENDING_PODCAST_DELIVERY.md, PODCAST-VIDEO-V3-WORKFLOW.md (2026-08-17) vs podcast_video_generator_v3.py (wc -l = 445), cron jobs.json (3 podcast jobs, all enabled=false) · timestamps Asia/Shanghai",
      "conditions": "voice-library/ listing counted 2026-08-27: ai_female_host_ref.wav, ai_male_host_ref.wav, eng_female_host_ref.wav, eng_male_host_ref.wav plus 2 real-speaker reference clips and podcast_tts.py; house rule blurs cloned-voice identities — used, never named",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep13-audio-workshop#2",
      "subject": "Studio pipeline",
      "metric": "TTS tool size / model footprint / output format",
      "value": "172 lines; 8.3 GB checkpoints incl. a Qwen 0.6B; 192 kbps MP3 + timeline JSON",
      "unit": "lines / GB / kbps",
      "hardware": "Workstation openclaw workspace · evidence = voice-library/ (6 reference wavs + podcast_tts.py, counted 2026-08-27), podcast_tts_indextts.py (wc -l = 172), /tmp/index-tts checkpoints (du = 8.3 GB, contains qwen0.6bemo4-merge), podcast_script_* and podcast_timeline_* JSONs for 06-28 / 07-20 / 07-21 / 07-26 (parsed 2026-08-27), essay-era MP3s (06-14 to 06-26 mtimes), tts_ssml_test2.py, PENDING_PODCAST_DELIVERY.md, PODCAST-VIDEO-V3-WORKFLOW.md (2026-08-17) vs podcast_video_generator_v3.py (wc -l = 445), cron jobs.json (3 podcast jobs, all enabled=false) · timestamps Asia/Shanghai",
      "conditions": "wc -l on podcast_tts_indextts.py; du on /tmp/index-tts/checkpoints (bigvgan, semantic codec, w2v-bert-2.0, qwen0.6bemo4-merge — the voice engine carries its own small LM); script hard-codes libmp3lame at 192k and a per-segment timeline with start/end/text; reads edge-tts-format JSON whose rate/pitch fields it ignores for compatibility; monkey-patches torchaudio.save with soundfile",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep13-audio-workshop#3",
      "subject": "Episode output, June 28 to July 26",
      "metric": "Segments / duration / script length per episode",
      "value": "36, 16, 27, 23 segments; 201, 393, 351, 385 seconds; 1584, 1378, 1496 characters",
      "unit": "segments / seconds / characters",
      "hardware": "Workstation openclaw workspace · evidence = voice-library/ (6 reference wavs + podcast_tts.py, counted 2026-08-27), podcast_tts_indextts.py (wc -l = 172), /tmp/index-tts checkpoints (du = 8.3 GB, contains qwen0.6bemo4-merge), podcast_script_* and podcast_timeline_* JSONs for 06-28 / 07-20 / 07-21 / 07-26 (parsed 2026-08-27), essay-era MP3s (06-14 to 06-26 mtimes), tts_ssml_test2.py, PENDING_PODCAST_DELIVERY.md, PODCAST-VIDEO-V3-WORKFLOW.md (2026-08-17) vs podcast_video_generator_v3.py (wc -l = 445), cron jobs.json (3 podcast jobs, all enabled=false) · timestamps Asia/Shanghai",
      "conditions": "timeline JSONs (06-28: 36 segs, last end 201 s; 07-20: 16 segs / 393 s, script 1584 chars + a compact cut; 07-21: 27 segs / 351 s, 1378 chars, plus a 42 MB video; 07-26: 23 segs / 385 s, 1496 chars, audio only); June 28 also shipped 3 video variants in podcast_output/",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep13-audio-workshop#4",
      "subject": "The lost July 4 episode",
      "metric": "Duration / size / delivery outcome",
      "value": "5 minutes 50 seconds, 2 MB, never delivered",
      "unit": "time / MB / outcome",
      "hardware": "Workstation openclaw workspace · evidence = voice-library/ (6 reference wavs + podcast_tts.py, counted 2026-08-27), podcast_tts_indextts.py (wc -l = 172), /tmp/index-tts checkpoints (du = 8.3 GB, contains qwen0.6bemo4-merge), podcast_script_* and podcast_timeline_* JSONs for 06-28 / 07-20 / 07-21 / 07-26 (parsed 2026-08-27), essay-era MP3s (06-14 to 06-26 mtimes), tts_ssml_test2.py, PENDING_PODCAST_DELIVERY.md, PODCAST-VIDEO-V3-WORKFLOW.md (2026-08-17) vs podcast_video_generator_v3.py (wc -l = 445), cron jobs.json (3 podcast jobs, all enabled=false) · timestamps Asia/Shanghai",
      "conditions": "PENDING_PODCAST_DELIVERY.md: generated 2026-07-04 04:25, proxy tunnel to Telegram failed with an SSL error while domestic sites stayed reachable, status 'waiting for proxy recovery'; the .ogg file is absent from the workspace today — only the tombstone note remains",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep13-audio-workshop#5",
      "subject": "Shutdown and doc drift",
      "metric": "Podcast cron jobs disabled / workflow-doc line count vs disk",
      "value": "3 podcast crons disabled; doc says 344 lines, disk has 445",
      "unit": "jobs / lines",
      "hardware": "Workstation openclaw workspace · evidence = voice-library/ (6 reference wavs + podcast_tts.py, counted 2026-08-27), podcast_tts_indextts.py (wc -l = 172), /tmp/index-tts checkpoints (du = 8.3 GB, contains qwen0.6bemo4-merge), podcast_script_* and podcast_timeline_* JSONs for 06-28 / 07-20 / 07-21 / 07-26 (parsed 2026-08-27), essay-era MP3s (06-14 to 06-26 mtimes), tts_ssml_test2.py, PENDING_PODCAST_DELIVERY.md, PODCAST-VIDEO-V3-WORKFLOW.md (2026-08-17) vs podcast_video_generator_v3.py (wc -l = 445), cron jobs.json (3 podcast jobs, all enabled=false) · timestamps Asia/Shanghai",
      "conditions": "cron jobs.json: news-podcast production job plus 2 daily AI-trend podcast jobs, all enabled=false (part of the 22-to-4 contraction, Episode 19); PODCAST-VIDEO-V3-WORKFLOW.md dated 2026-08-17 cites the generator as v3.3 at 344 lines while podcast_video_generator_v3.py measures 445 on 2026-08-27 — docs drift, wc -l does not",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep13-audio-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep14-model-stable#1",
      "subject": "The stable on disk",
      "metric": "Model directories / sizes / arrival order",
      "value": "23 GB coder + 18 GB reasoner + 29 GB workhorse = 70 GB total",
      "unit": "GB",
      "hardware": "Workstation model stable · evidence = du -sh on ~/models (23 GB gemma-4-12b-coder / 29 GB Qwen3.8-27B-AWQ / 18 GB Qwythos-9B-Claude-Mythos-5-1M, counted 2026-08-27), dir mtimes (06-19 / 08-18 / 06-25), ~/本地大模型部署全记录.md (v1.0 2026-06-26), ~/vLLM部署对比-Gemma vs Qwythos.md (2026-06-25), ~/gemma-coder-handbook.md (2026-06-19), ~/vllm-gemma4-tp2.log (2026-06-19), ~/models/download_qwen38.log + download_qwen38_awq.sh + start_qwen38.sh + vllm_qwen38.log (2026-08-18), ~/.openclaw/workspace/qwen38-eval/cc-q38.sh, live state 2026-08-27 (ps / nvidia-smi / ss / openclaw.json via jq) · timestamps Asia/Shanghai",
      "conditions": "du -sh on the three model dirs, 2026-08-27; arrival order from dir mtimes and logs: gemma-4-12b-coder 06-19, Qwythos-9B-Claude-Mythos-5-1M 06-25, Qwen3.8-27B-AWQ 08-18; hardware per deployment record: one 24 GB flagship card plus one 16 GB worker card",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep14-model-stable#2",
      "subject": "First horse boundary (the coder, June 19)",
      "metric": "Project scale vs window / single-module debug / first serve attempt",
      "value": "11,648-line project ≈ 100K tokens vs 32K window; 190-line module: 3 real bugs missed, 1 false positive; 600-second timeout on the first two-GPU attempt",
      "unit": "lines / tokens / bugs",
      "hardware": "Workstation model stable · evidence = du -sh on ~/models (23 GB gemma-4-12b-coder / 29 GB Qwen3.8-27B-AWQ / 18 GB Qwythos-9B-Claude-Mythos-5-1M, counted 2026-08-27), dir mtimes (06-19 / 08-18 / 06-25), ~/本地大模型部署全记录.md (v1.0 2026-06-26), ~/vLLM部署对比-Gemma vs Qwythos.md (2026-06-25), ~/gemma-coder-handbook.md (2026-06-19), ~/vllm-gemma4-tp2.log (2026-06-19), ~/models/download_qwen38.log + download_qwen38_awq.sh + start_qwen38.sh + vllm_qwen38.log (2026-08-18), ~/.openclaw/workspace/qwen38-eval/cc-q38.sh, live state 2026-08-27 (ps / nvidia-smi / ss / openclaw.json via jq) · timestamps Asia/Shanghai",
      "conditions": "gemma-coder-handbook.md (2026-06-19) tested conclusions — a code commentator, not a project detective; dir mtime 11:27, first two-GPU (tensor-parallel) serve attempt logged 11:43:55 dies waiting 600s for engine cores (VLLM_ENGINE_READY_TIMEOUT)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep14-model-stable#3",
      "subject": "The June campaign (the 9B fallback)",
      "metric": "Campaign duration / download speeds / pitfalls / room triage",
      "value": "07:47 decision → 07:30 next-day conclusions; 300 KB/s proxy → 2.3 MB/s mirror (7×), 18 GB landed by 15:12; seven pitfalls; ten rooms: 4 capable, 3 degraded, 3 forbidden",
      "unit": "times / speeds / counts",
      "hardware": "Workstation model stable · evidence = du -sh on ~/models (23 GB gemma-4-12b-coder / 29 GB Qwen3.8-27B-AWQ / 18 GB Qwythos-9B-Claude-Mythos-5-1M, counted 2026-08-27), dir mtimes (06-19 / 08-18 / 06-25), ~/本地大模型部署全记录.md (v1.0 2026-06-26), ~/vLLM部署对比-Gemma vs Qwythos.md (2026-06-25), ~/gemma-coder-handbook.md (2026-06-19), ~/vllm-gemma4-tp2.log (2026-06-19), ~/models/download_qwen38.log + download_qwen38_awq.sh + start_qwen38.sh + vllm_qwen38.log (2026-08-18), ~/.openclaw/workspace/qwen38-eval/cc-q38.sh, live state 2026-08-27 (ps / nvidia-smi / ss / openclaw.json via jq) · timestamps Asia/Shanghai",
      "conditions": "deployment record v1.0 (2026-06-26): proxy estimate 17 hours with frequent disconnects, mirror switch at 13:10; tool-call parser found on the fifth attempt (reasoning + tool parsers must share the qwen3 family); 32K window overflowed on the framework's own 28K system prompt (error cites 28,673 input tokens) → 64K; a tool named web_search went uncalled until renamed internet_search; forbidden rooms include the article workflow needing 170K tokens of context; same-provider backups die together, so failover crosses providers (cloud primary, local 9B behind it)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep14-model-stable#4",
      "subject": "The August evening (the 27B workhorse)",
      "metric": "First byte → serving banner → Claude Code mounted / serving config",
      "value": "14:41 download → 19:58 banner → 20:02 mounted = 5 hours 21 minutes; 38,912-token window; fp8 KV cache",
      "unit": "times / tokens",
      "hardware": "Workstation model stable · evidence = du -sh on ~/models (23 GB gemma-4-12b-coder / 29 GB Qwen3.8-27B-AWQ / 18 GB Qwythos-9B-Claude-Mythos-5-1M, counted 2026-08-27), dir mtimes (06-19 / 08-18 / 06-25), ~/本地大模型部署全记录.md (v1.0 2026-06-26), ~/vLLM部署对比-Gemma vs Qwythos.md (2026-06-25), ~/gemma-coder-handbook.md (2026-06-19), ~/vllm-gemma4-tp2.log (2026-06-19), ~/models/download_qwen38.log + download_qwen38_awq.sh + start_qwen38.sh + vllm_qwen38.log (2026-08-18), ~/.openclaw/workspace/qwen38-eval/cc-q38.sh, live state 2026-08-27 (ps / nvidia-smi / ss / openclaw.json via jq) · timestamps Asia/Shanghai",
      "conditions": "download_qwen38.log first line 2026-08-18 14:41:08 (domestic mirror, resume-safe script — June's download lesson promoted to infrastructure); vllm_qwen38.log banner 19:58:41 under the same vLLM 0.23.0 as June's logs; cc-q38.sh (mtime 20:02) forces an explicit effort level because Claude Code's default draws a 500 from this vLLM, and low is recommended for a 27B; the 4090D's CUDA index is probed at runtime because enumeration shifts between boots; the conda environment still carries the first horse's name; mount script notes 3-4 minutes to ready",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep14-model-stable#5",
      "subject": "Live state, 2026-08-27",
      "metric": "Uptime / VRAM occupancy / failover chain vs what actually runs",
      "value": "day 9 continuous at 95% of 24 GB; chain = glm-5.3 → local 9B only, 27B not in chain; fallback endpoint has no listener",
      "unit": "days / percent / state",
      "hardware": "Workstation model stable · evidence = du -sh on ~/models (23 GB gemma-4-12b-coder / 29 GB Qwen3.8-27B-AWQ / 18 GB Qwythos-9B-Claude-Mythos-5-1M, counted 2026-08-27), dir mtimes (06-19 / 08-18 / 06-25), ~/本地大模型部署全记录.md (v1.0 2026-06-26), ~/vLLM部署对比-Gemma vs Qwythos.md (2026-06-25), ~/gemma-coder-handbook.md (2026-06-19), ~/vllm-gemma4-tp2.log (2026-06-19), ~/models/download_qwen38.log + download_qwen38_awq.sh + start_qwen38.sh + vllm_qwen38.log (2026-08-18), ~/.openclaw/workspace/qwen38-eval/cc-q38.sh, live state 2026-08-27 (ps / nvidia-smi / ss / openclaw.json via jq) · timestamps Asia/Shanghai",
      "conditions": "ps shows the 27B vLLM process up since Aug 18; nvidia-smi: 23314/24564 MiB on the flagship card, 267 MiB on the worker card; openclaw.json read via jq: primary zai/glm-5.3, fallbacks [local-vllm/qwythos-9b], the 27B registered under a separate provider not referenced in defaults; ss finds no listener on the fallback endpoint and the 9B's serving log ends with a clean shutdown",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep14-model-stable.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep16-mini-agent#1",
      "subject": "mini-agent codebase (hand-rolled coding agent, no framework)",
      "metric": "Lines of Python",
      "value": "363",
      "unit": "lines",
      "hardware": "Local gemma-4-12b-coder served via vLLM (workstation GPU) vs cloud GLM-4.6 · identical 363-line Python harness · run traces as logged by the harness",
      "conditions": "Single file incl. dumb loop, tool layer with validation, vLLM fallback parser, finish(summary) protocol; counted 2026-08-27",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep16-mini-agent#2",
      "subject": "Controlled swap — same harness and task, model changed (fix clamp missing return)",
      "metric": "Rounds to outcome",
      "value": "15 (stuck) vs 4 (pass)",
      "unit": "rounds",
      "hardware": "Local gemma-4-12b-coder served via vLLM (workstation GPU) vs cloud GLM-4.6 · identical 363-line Python harness · run traces as logged by the harness",
      "conditions": "gemma-4-12b-coder local vs GLM-4.6 cloud; 12B edited a hallucinated function 15 rounds, pytest 1 failed; GLM exact edit, 3 passed; temp=0 both; single run per cell, 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep16-mini-agent#3",
      "subject": "Controlled swap — same model and task, system prompt changed (GLM-4.6)",
      "metric": "Rounds to pass",
      "value": "6 vs 7",
      "unit": "rounds",
      "hardware": "Local gemma-4-12b-coder served via vLLM (workstation GPU) vs cloud GLM-4.6 · identical 363-line Python harness · run traces as logged by the harness",
      "conditions": "Slogan prompt vs fully structured prompt; both 4 passed; structured adds scan-first opening and what-changed/risks/how-verified reporting; single run per cell, 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep16-mini-agent#4",
      "subject": "Weak-model prompt rescue attempt (gemma-4-12b-coder)",
      "metric": "Prompt variants that completed the task",
      "value": "0 / 3",
      "unit": null,
      "hardware": "Local gemma-4-12b-coder served via vLLM (workstation GPU) vs cloud GLM-4.6 · identical 363-line Python harness · run traces as logged by the harness",
      "conditions": "Structured variant truncated to zero tool calls; slogan and weak-targeted variants hallucinated edit targets, ignored tool errors, reported fake success; 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep16-mini-agent#5",
      "subject": "Code-level supervisor mechanisms (A1 edit-validation, A2 error-forcing, A3 finish-validation)",
      "metric": "Mechanisms implemented and tested",
      "value": "3",
      "unit": null,
      "hardware": "Local gemma-4-12b-coder served via vLLM (workstation GPU) vs cloud GLM-4.6 · identical 363-line Python harness · run traces as logged by the harness",
      "conditions": "Implemented in mini_agent.py; measured effect per experiment log: fake-success finish calls eliminated — honest failure remains for the 12B; 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep16-mini-agent.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep17-model-exam#1",
      "subject": "Baseline capability (seven coding tasks)",
      "metric": "Pass rate / per-task time / output tokens",
      "value": "7/7 pass; 13-142 seconds per task; 194-1834 output tokens; temperature 0.2",
      "unit": "tasks / seconds / tokens",
      "hardware": "Workstation qwen38-eval directory · evidence = Q38压测报告-20260818.md (v2.0) + WORKLOG-20260818.md + run.py / run_tests.py (runners) + t1-t7 .md/.py pairs + A/B output files + toolA.py / toolB.py + verify.py + data.csv / empty.csv, all read 2026-08-27; DSH-side numbers from ~/.openclaw/workspace/memory/2026-08-18.md; six-rule file ~/.dsh/AGENTS.md still on disk; live state via ps / ss / nvidia-smi · timestamps Asia/Shanghai",
      "conditions": "run_tests.py one-shot runner, 2026-08-18; answers extracted and executed against verify.py assertion scripts, not eyeballed; logged caveats: one answer hand-extracted (no code block), one key-name mismatch scored as verifier strictness, log-filter answer carried an example block before the code; on this serving stack the model's thinking leaks into the body; in-file headers of t1_basic.md to t7_messystyle.md carry the per-task times and token counts",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep17-model-exam#2",
      "subject": "A/B usage test (dedup command on the CSV tool)",
      "metric": "Six logged requests: max_tokens / seconds / output",
      "value": "A 3000 → 223 s → 0 chars dead; A retry 8000 → 256 s → 1465 chars; B1 3000 → 125 s → 298 chars; B2 3000 → 58 s → 604 chars; B3 1500 → 123 s → 0 chars dead; B3 retry 6000 → 260 s → 468 chars",
      "unit": "tokens / seconds / characters",
      "hardware": "Workstation qwen38-eval directory · evidence = Q38压测报告-20260818.md (v2.0) + WORKLOG-20260818.md + run.py / run_tests.py (runners) + t1-t7 .md/.py pairs + A/B output files + toolA.py / toolB.py + verify.py + data.csv / empty.csv, all read 2026-08-27; DSH-side numbers from ~/.openclaw/workspace/memory/2026-08-18.md; six-rule file ~/.dsh/AGENTS.md still on disk; live state via ps / ss / nvidia-smi · timestamps Asia/Shanghai",
      "conditions": "run.py, temperature 0.2, same task both groups; assembled tools toolA.py / toolB.py 53 lines each; one-shot passed all five verifier cases cleanly, split path passed four — on the missing-column case it errored to stderr but still printed the raw rows; split path's three good steps 443 seconds vs one-shot attempts 479; thinking burns 500-3,000+ tokens before the body starts (iron rule: max_tokens 6,000+); group B's missing-column print bug traced to the prompt's own return-original-list wording — toolB.py still carries it; B3 self-check (B3_check.md) caught that bug plus two more",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep17-model-exam#3",
      "subject": "Habitat race (tickets out of the 38,912-token window)",
      "metric": "System-prompt cost / working space",
      "value": "Claude Code 24769 tokens = 64% of window, leaving 6.1K; terminal harness 7710 = 31% of that, 3.8× the working room; bare endpoint zero ticket",
      "unit": "tokens / percent / ratio",
      "hardware": "Workstation qwen38-eval directory · evidence = Q38压测报告-20260818.md (v2.0) + WORKLOG-20260818.md + run.py / run_tests.py (runners) + t1-t7 .md/.py pairs + A/B output files + toolA.py / toolB.py + verify.py + data.csv / empty.csv, all read 2026-08-27; DSH-side numbers from ~/.openclaw/workspace/memory/2026-08-18.md; six-rule file ~/.dsh/AGENTS.md still on disk; live state via ps / ss / nvidia-smi · timestamps Asia/Shanghai",
      "conditions": "from the day's memory diary 2026-08-18: CC ticket designed for a 200K-token model; harness dialogue space ~23K; refused upgrades measured same evening: 48K window with CPU offload ran 3.7 tokens/s vs ~14 baseline (an 8,000-token answer = 36 minutes) — rejected; prefix caching would not start at that window, measured ceiling ~12 seconds a round vs 5,600 tokens of context — rejected",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep17-model-exam#4",
      "subject": "Six global rules, ON/OFF comparison",
      "metric": "Injection cost / behavior delta",
      "value": "+241 tokens (7710 → 7951, 3.1%); correctness 5/5 both; prompt tokens 49394 rules-on vs 64907 rules-off",
      "unit": "tokens / percent / cases",
      "hardware": "Workstation qwen38-eval directory · evidence = Q38压测报告-20260818.md (v2.0) + WORKLOG-20260818.md + run.py / run_tests.py (runners) + t1-t7 .md/.py pairs + A/B output files + toolA.py / toolB.py + verify.py + data.csv / empty.csv, all read 2026-08-27; DSH-side numbers from ~/.openclaw/workspace/memory/2026-08-18.md; six-rule file ~/.dsh/AGENTS.md still on disk; live state via ps / ss / nvidia-smi · timestamps Asia/Shanghai",
      "conditions": "~/.dsh/AGENTS.md, six rules chosen to be harmless to the cloud model (read before edit / minimal changes / stop after two failures / ask when unsure / verify after change / split big jobs), still on disk 2026-08-27; same dedup task, same data, same five-case verifier, rules as the only variable; rules-on built a temp file to self-verify then cleaned up and asked about an ambiguity; cloud model told to refactor boldly correctly overrode the minimal-change rule — priority is protocol-level",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep17-model-exam#5",
      "subject": "The revival run and the verdict",
      "metric": "Harsh task end-to-end cost / final assignment",
      "value": "log-filter job 68984 tokens in-harness; verdict 21:05 — harness = home, bare endpoint = pipelines, Claude Code keeps cloud model, wrapper kept as spare",
      "unit": "tokens / assignments",
      "hardware": "Workstation qwen38-eval directory · evidence = Q38压测报告-20260818.md (v2.0) + WORKLOG-20260818.md + run.py / run_tests.py (runners) + t1-t7 .md/.py pairs + A/B output files + toolA.py / toolB.py + verify.py + data.csv / empty.csv, all read 2026-08-27; DSH-side numbers from ~/.openclaw/workspace/memory/2026-08-18.md; six-rule file ~/.dsh/AGENTS.md still on disk; live state via ps / ss / nvidia-smi · timestamps Asia/Shanghai",
      "conditions": "per the memory diary: the log filter re-run on the bare endpoint that evening died zero-character; in-harness it met every requirement (case-insensitive filter, ascending order, ValueError, original function preserved, example runnable); the model caught the verifier expecting 3 where the fixture holds 2 and stopped to ask which side was right — rule four as designed; live state 2026-08-27: the serving process up since 2026-08-18 still holds the GPU",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep17-model-exam.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep18-brain-swap#1",
      "subject": "Backup strata (openclaw.json layer)",
      "metric": "File count / span / size growth",
      "value": "10 files; 2026-03-29 10:53 to 2026-08-18 18:39; 2,459 bytes to 7,540 bytes",
      "unit": "files / dates / bytes",
      "hardware": "Workstation ~/.openclaw/ backup strata, read 2026-08-27 · evidence = ten-file openclaw.json layer (parsed per file for primary/fallback/catalog), json-diff of rolling .bak.4 vs .bak.3, memory diaries 2026-08-15.md / 2026-08-18.md / 2026-07-03.md, ~/.claude/ settings strata, article counts via ls|wc -l · timestamps Asia/Shanghai",
      "conditions": "one live config + 5 rolling (.bak to .bak.4) + 4 named (backup-glm5, backup-before-glm51, backup-before-glm53, backup-0818-notify); backup-glm5 verified the oldest file in ~/.openclaw by find|sort on mtime; named backups are hand-made before each migration, rolling ones are platform routine",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep18-brain-swap#2",
      "subject": "First brain transplant (glm-5 to glm-5.1)",
      "metric": "Age at transplant / staging state",
      "value": "118 minutes after birth; 03-29 10:53 → 12:51 same day",
      "unit": "minutes / timestamps",
      "hardware": "Workstation ~/.openclaw/ backup strata, read 2026-08-27 · evidence = ten-file openclaw.json layer (parsed per file for primary/fallback/catalog), json-diff of rolling .bak.4 vs .bak.3, memory diaries 2026-08-15.md / 2026-08-18.md / 2026-07-03.md, ~/.claude/ settings strata, article counts via ls|wc -l · timestamps Asia/Shanghai",
      "conditions": "backup-glm5 shows primary zai/glm-5, single model, alias GLM, no fallbacks; backup-before-glm51 (12:51) shows glm-5.1 already staged in the catalog while primary is still glm-5 — stage, back up, then flip, all on day one",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep18-brain-swap#3",
      "subject": "The evidence gap (glm-5.1 to glm-5.2)",
      "metric": "Days between named backups / corroborating waypoints",
      "value": "139 days silent, 03-29 12:51 to 08-15 21:05",
      "unit": "days",
      "hardware": "Workstation ~/.openclaw/ backup strata, read 2026-08-27 · evidence = ten-file openclaw.json layer (parsed per file for primary/fallback/catalog), json-diff of rolling .bak.4 vs .bak.3, memory diaries 2026-08-15.md / 2026-08-18.md / 2026-07-03.md, ~/.claude/ settings strata, article counts via ls|wc -l · timestamps Asia/Shanghai",
      "conditions": "no named backup exists for the 5.1→5.2 flip; 5.2 appears as primary inside backup-before-glm53; sideways evidence: memory diary 2026-07-03 already tests glm-5.2 as default, and the 2026-06-26 deployment record (cited in episode 14) discusses 5.2 as the cloud primary; reported as an honest gap, not reconstructed",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep18-brain-swap#4",
      "subject": "August 15 double swap (5.2 → 5.3)",
      "metric": "Day-shift output / surgery timeline / protocol items",
      "value": "20 articles 14:38-19:21 (17 digests in 13 minutes + 3 evening); Claude Code 20:52-21:00, backup 20:54; OpenClaw 21:08, named backup 21:05; 4-item protocol",
      "unit": "articles / timestamps / items",
      "hardware": "Workstation ~/.openclaw/ backup strata, read 2026-08-27 · evidence = ten-file openclaw.json layer (parsed per file for primary/fallback/catalog), json-diff of rolling .bak.4 vs .bak.3, memory diaries 2026-08-15.md / 2026-08-18.md / 2026-07-03.md, ~/.claude/ settings strata, article counts via ls|wc -l · timestamps Asia/Shanghai",
      "conditions": "article counts from wechat-editor-team/articles/ filenames via ls|wc -l; CC edits: model, opus mapping, availability list, Sonnet/Haiku mappings untouched; OC flip via gateway config.patch (validated merge, not hand edit), 3 edits; protocol per diary 2026-08-15.md: dual-route precheck, named backup, insurance card (rollback command sent to the human before self-restart), fallback chain frozen at qwythos-9b; side discovery: 5.2 requests returned labeled 5.3 on both routes; 21:17-21:28 Anthropic-route test entry added then fully removed after user correction, captured by rolling .bak.4 (21:18) and .bak.3 (21:27)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep18-brain-swap#5",
      "subject": "Aftermath and catalog end-state",
      "metric": "Post-swap production / catalog size / chain shape",
      "value": "1 article on 08-16, 6 on 08-17; 7 catalog entries; primary glm-5.3 with 1 local fallback",
      "unit": "articles / entries / rungs",
      "hardware": "Workstation ~/.openclaw/ backup strata, read 2026-08-27 · evidence = ten-file openclaw.json layer (parsed per file for primary/fallback/catalog), json-diff of rolling .bak.4 vs .bak.3, memory diaries 2026-08-15.md / 2026-08-18.md / 2026-07-03.md, ~/.claude/ settings strata, article counts via ls|wc -l · timestamps Asia/Shanghai",
      "conditions": "27B registered 08-18 18:40 under provider local-vllm-qwen38 with supportsTools on (without it OpenClaw does not pass tools, per diary), alias usable via /model; catalog seat only — not primary, not in the fallback chain; catalog = glm-5, glm-4.7, glm-5.1, glm-5.2, glm-5.3, qwythos-9b, qwen3.8-27b",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep18-brain-swap.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep19-cron-contraction#1",
      "subject": "Cron schedule after the contraction",
      "metric": "Job entries in file vs currently enabled",
      "value": "22 / 4",
      "unit": "jobs",
      "hardware": "Workstation openclaw cron daemon · evidence = jobs.json, 7 backup snapshots, 27 per-job JSONL run logs · timestamps Asia/Shanghai",
      "conditions": "jobs.json read 2026-08-27; the 18 disabled include both duplicated noon entries; enabled are the YouTube material drop, two video-topic asks, and the arXiv digest",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep19-cron-contraction#2",
      "subject": "The auto-publishing era, aggregate",
      "metric": "Finished runs vs runs ending in status error",
      "value": "790 / 154",
      "unit": "runs",
      "hardware": "Workstation openclaw cron daemon · evidence = jobs.json, 7 backup snapshots, 27 per-job JSONL run logs · timestamps Asia/Shanghai",
      "conditions": "27 run logs, action=finished lines; error status includes timeouts whose work may have partially completed; no failure taxonomy claimed",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep19-cron-contraction#3",
      "subject": "Old-guard lifespan",
      "metric": "First cron run to last pre-cut run",
      "value": "116",
      "unit": "days",
      "hardware": "Workstation openclaw cron daemon · evidence = jobs.json, 7 backup snapshots, 27 per-job JSONL run logs · timestamps Asia/Shanghai",
      "conditions": "2026-03-29 21:27 (off-schedule manual first fire) to 2026-07-23 08:00, Asia/Shanghai; the cut itself left no log line, dated by the runs going silent",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep19-cron-contraction#4",
      "subject": "Silence between empires",
      "metric": "Last pre-cut run to first relit run",
      "value": "25",
      "unit": "days",
      "hardware": "Workstation openclaw cron daemon · evidence = jobs.json, 7 backup snapshots, 27 per-job JSONL run logs · timestamps Asia/Shanghai",
      "conditions": "2026-07-23 08:00 to 2026-08-17 16:31 (YouTube material drop, off-schedule manual fire), Asia/Shanghai",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep19-cron-contraction#5",
      "subject": "Peak concurrent enablement",
      "metric": "Most jobs lit at once (observed)",
      "value": "16",
      "unit": "jobs",
      "hardware": "Workstation openclaw cron daemon · evidence = jobs.json, 7 backup snapshots, 27 per-job JSONL run logs · timestamps Asia/Shanghai",
      "conditions": "Backup snapshots 2026-07-05 (16 of 16) and 2026-07-08 (16 of 17); observed maximum, not a proven ceiling",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep19-cron-contraction.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep2-tg-gateway#1",
      "subject": "Telegram chat gateway (bot.py, GLM-5.2 backend)",
      "metric": "Lines of Python on disk vs README's stated origin",
      "value": "850 vs ~50",
      "unit": "lines",
      "hardware": "Workstation-hosted Python bot under a systemd user unit · GLM-5.2 via Anthropic-protocol-compatible endpoint · counts from source and bot.log",
      "conditions": "wc -l on source, 2026-08-27; the ~50-line origin is the README's own account of the starting point, not independently reconstructable",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep2-tg-gateway#2",
      "subject": "Tool surface exposed to the model",
      "metric": "Tools available per turn",
      "value": "9",
      "unit": "tools",
      "hardware": "Workstation-hosted Python bot under a systemd user unit · GLM-5.2 via Anthropic-protocol-compatible endpoint · counts from source and bot.log",
      "conditions": "read_file, glob, grep, edit, write_file, exec_command, web_search, web_fetch, rss_fetch; counted from tool registry in source, 2026-08-27",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep2-tg-gateway#3",
      "subject": "Agent tool loop per chat message",
      "metric": "Maximum tool iterations per turn",
      "value": "15",
      "unit": "iterations",
      "hardware": "Workstation-hosted Python bot under a systemd user unit · GLM-5.2 via Anthropic-protocol-compatible endpoint · counts from source and bot.log",
      "conditions": "MAX_TOOL_ITERATIONS constant in source; caps runaway chains, 2026-08-27",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep2-tg-gateway#4",
      "subject": "Process supervision (systemd user unit)",
      "metric": "Crash-restart delay",
      "value": "5",
      "unit": "s",
      "hardware": "Workstation-hosted Python bot under a systemd user unit · GLM-5.2 via Anthropic-protocol-compatible endpoint · counts from source and bot.log",
      "conditions": "Service unit RestartSec; lingering enabled for no-login survival, 2026-08-27",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep2-tg-gateway#5",
      "subject": "Gateway usage log (bot.log)",
      "metric": "Log lines accumulated",
      "value": "168,996",
      "unit": "lines",
      "hardware": "Workstation-hosted Python bot under a systemd user unit · GLM-5.2 via Anthropic-protocol-compatible endpoint · counts from source and bot.log",
      "conditions": "Single whitelisted user; line count measures chatter, not tasks — no throughput claimed; log tail is a live server-disconnect NetworkError, 2026-08-27",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep2-tg-gateway.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep20-bug-diaries#1",
      "subject": "Dedicated failure-document corpus, inventoried",
      "metric": "Files whose sole purpose is recording failure",
      "value": "9",
      "unit": "documents",
      "hardware": "Workstation openclaw workspace failure archive · evidence = 9 dedicated failure documents (memory/ lesson files, root-level LESSON volumes, wechat-editor-team archive) + cron jobs.json payloads · timestamps Asia/Shanghai",
      "conditions": "4 lesson files in memory/ (2 filename spellings) + 1 failed-test note + 3 root-level volumes + the 901-line team archive; beside, not inside, the per-article loop episode 9 measured at 102 lines",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep20-bug-diaries#2",
      "subject": "Failure library span",
      "metric": "First file timestamp to final save",
      "value": "158",
      "unit": "days",
      "hardware": "Workstation openclaw workspace failure archive · evidence = 9 dedicated failure documents (memory/ lesson files, root-level LESSON volumes, wechat-editor-team archive) + cron jobs.json payloads · timestamps Asia/Shanghai",
      "conditions": "2026-03-14 12:25 (first lesson file) to 2026-08-19 11:48 (final save of the team archive); all read live 2026-08-27",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep20-bug-diaries#3",
      "subject": "Founding cluster",
      "metric": "Failure documents created in the opening burst",
      "value": "5",
      "unit": "documents",
      "hardware": "Workstation openclaw workspace failure archive · evidence = 9 dedicated failure documents (memory/ lesson files, root-level LESSON volumes, wechat-editor-team archive) + cron jobs.json payloads · timestamps Asia/Shanghai",
      "conditions": "2026-03-14 12:25 to 2026-03-15 21:08, under 33 hours: NeMo article lesson, browser-tool write-up (2 hours, 20 headlines, 0 relevant, value produced 0), RAG test at 15 percent (0 of 3 real queries; 8 of 401 chunks usable), media-tier collapse (0/0/7 tiers, fixed in 29 minutes), and the review rota",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep20-bug-diaries#4",
      "subject": "Image-failure recurrences after first lesson",
      "metric": "Documented repeat occurrences of the image class",
      "value": "4",
      "unit": "recurrences",
      "hardware": "Workstation openclaw workspace failure archive · evidence = 9 dedicated failure documents (memory/ lesson files, root-level LESSON volumes, wechat-editor-team archive) + cron jobs.json payloads · timestamps Asia/Shanghai",
      "conditions": "lesson filed 2026-03-29; relapses 2026-06-14 (zero images), 2026-06-23 (external URLs not rendered), 2026-07-12 (stale images reused); 77 days from lesson to first relapse; the archive's own top-5 table ranks image failures No. 1 at 4-plus",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep20-bug-diaries#5",
      "subject": "Step-0 read order wired into scheduler payloads",
      "metric": "Job definitions whose prompt orders reading the error archive first",
      "value": "8",
      "unit": "job payloads",
      "hardware": "Workstation openclaw workspace failure archive · evidence = 9 dedicated failure documents (memory/ lesson files, root-level LESSON volumes, wechat-editor-team archive) + cron jobs.json payloads · timestamps Asia/Shanghai",
      "conditions": "grep over cron jobs.json 2026-08-27; all 8 disabled since the contraction episode 19 described — enforcement stamped into prompts, then darkened with the schedule",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep20-bug-diaries.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep21-langgraph-autopsy#1",
      "subject": "First true run stall",
      "metric": "Time spent polling without advancing",
      "value": "668",
      "unit": "seconds",
      "hardware": "AWS brain-node orchestrator (~/orchestrator) · evidence = WORKLOG.md entries of 2026-08-12/13 (UTC convention) + live code and venv read 2026-08-27 · run timings as recorded in the log, not re-run",
      "conditions": "T5 end-to-end test, logged 13:33 UTC 2026-08-12; submission succeeded (prompt_id 6f476a70) and the render finished on the GPU box — the state machine never learned; run timing from the work log, not re-run",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep21-langgraph-autopsy#2",
      "subject": "Load-bearing lifetime of the LangGraph layer",
      "metric": "Skeleton-complete log entry to deletion log entry",
      "value": "90",
      "unit": "minutes",
      "hardware": "AWS brain-node orchestrator (~/orchestrator) · evidence = WORKLOG.md entries of 2026-08-12/13 (UTC convention) + live code and venv read 2026-08-27 · run timings as recorded in the log, not re-run",
      "conditions": "12:35 to 14:05 UTC 2026-08-12; skeleton = 12 modules import-green, 9 nodes, conditional routing, sqlite checkpointer with tables built; deletion kept the node functions and DB (4 business tables), dropped the framework layer and its 2 orphaned checkpointer tables",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep21-langgraph-autopsy#3",
      "subject": "Rewritten engine, same flow",
      "metric": "End-to-end completion time",
      "value": "163",
      "unit": "seconds",
      "hardware": "AWS brain-node orchestrator (~/orchestrator) · evidence = WORKLOG.md entries of 2026-08-12/13 (UTC convention) + live code and venv read 2026-08-27 · run timings as recorded in the log, not re-run",
      "conditions": "13:59 UTC 2026-08-12, 26 minutes after the stall was logged; the audit printed a poll_done line for the first time — proof the poll node had never executed under the framework; next-morning north star (2026-08-13 11:16) ran the same chain in 27 seconds, user-confirmed",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep21-langgraph-autopsy#4",
      "subject": "Fault-injection harvest",
      "metric": "Bugs sharing one root",
      "value": "4",
      "unit": "bugs",
      "hardware": "AWS brain-node orchestrator (~/orchestrator) · evidence = WORKLOG.md entries of 2026-08-12/13 (UTC convention) + live code and venv read 2026-08-27 · run timings as recorded in the log, not re-run",
      "conditions": "T6 injections 2026-08-12: fatal segmentation (dead with the deleted layer), stage field desync, delivery counter that ignored the send's return value, poller with zero tolerance for one SSH hiccup; root = zero tolerance plus false done; entry reconstructed from a 612-event session transcript",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep21-langgraph-autopsy#5",
      "subject": "Survivor size, read live",
      "metric": "engine.py line count",
      "value": "203",
      "unit": "lines",
      "hardware": "AWS brain-node orchestrator (~/orchestrator) · evidence = WORKLOG.md entries of 2026-08-12/13 (UTC convention) + live code and venv read 2026-08-27 · run timings as recorded in the log, not re-run",
      "conditions": "read 2026-08-27; package code carries 0 langgraph imports with exactly 2 comment tombstones (nodes.py, db.py) and the graph directory gone; the pip package still sits in the venv, unimported; the engine now routes 3 kinds of work — image, digest, retrieval Q&A",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep21-langgraph-autopsy.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep23-security-handcraft#1",
      "subject": "Single credentials home on the workstation",
      "metric": "Scalar fields in the one config file that holds credentials",
      "value": "138",
      "unit": "fields",
      "hardware": "3-machine fleet, all evidence gathered 2026-08-27 · workstation: config field-path counts (values never printed), source-code pattern scans, on-box getMe probes through the fleet's own proxy — token strings compared by hash and never left the machine · AWS: orchestrator secrets/logging code read live, permission bits verified · publication scan across all 23 posts in this repository",
      "conditions": "of which 6 are credential-shaped — 3 apiKey entries, 1 appSecret, 1 botToken, 1 token — plus the proxy address; file mode 600, owner-only, verified 2026-08-27; counted by field-path names only, no values printed",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep23-security-handcraft#2",
      "subject": "Inline-token fossil lane",
      "metric": "Legacy scripts carrying one identical hardcoded token",
      "value": "12",
      "unit": "scripts",
      "hardware": "3-machine fleet, all evidence gathered 2026-08-27 · workstation: config field-path counts (values never printed), source-code pattern scans, on-box getMe probes through the fleet's own proxy — token strings compared by hash and never left the machine · AWS: orchestrator secrets/logging code read live, permission bits verified · publication scan across all 23 posts in this repository",
      "conditions": "news-push v3/v4/v5, hotspot-monitor skills, social-trend monitors, a reddit monitor, and video-batch helpers; every copy byte-identical (one distinct hash) and 46 characters long; no scheduled job invokes any of them since the Episode 19 contraction; neither this directory nor its parent is a git repository",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep23-security-handcraft#3",
      "subject": "Live strings, one bot",
      "metric": "Distinct token strings authenticating against the same bot",
      "value": "2",
      "unit": "live strings",
      "hardware": "3-machine fleet, all evidence gathered 2026-08-27 · workstation: config field-path counts (values never printed), source-code pattern scans, on-box getMe probes through the fleet's own proxy — token strings compared by hash and never left the machine · AWS: orchestrator secrets/logging code read live, permission bits verified · publication scan across all 23 posts in this repository",
      "conditions": "getMe returned ok=true for both the config string and the inline fossil on 2026-08-27, identical bot id; probed on the workstation through its own proxy so neither string left the machine; compared by hash, never by value; no bot identifiers published",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep23-security-handcraft#4",
      "subject": "Publication gate across the whole library",
      "metric": "Secret-pattern hits across every published post",
      "value": "0",
      "unit": "hits",
      "hardware": "3-machine fleet, all evidence gathered 2026-08-27 · workstation: config field-path counts (values never printed), source-code pattern scans, on-box getMe probes through the fleet's own proxy — token strings compared by hash and never left the machine · AWS: orchestrator secrets/logging code read live, permission bits verified · publication scan across all 23 posts in this repository",
      "conditions": "machine scan of all 23 published posts for Telegram-token, sk-, ghp-, and AKIA-shaped strings, 2026-08-27; the same-day source scan on the workstation found 16 matching code files — 12 ours, 4 upstream test fixtures from a packaged retrieval project",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep23-security-handcraft#5",
      "subject": "Ritual receipts in the work log",
      "metric": "Work-log entries recording a pre-push secret scan",
      "value": "5",
      "unit": "receipts",
      "hardware": "3-machine fleet, all evidence gathered 2026-08-27 · workstation: config field-path counts (values never printed), source-code pattern scans, on-box getMe probes through the fleet's own proxy — token strings compared by hash and never left the machine · AWS: orchestrator secrets/logging code read live, permission bits verified · publication scan across all 23 posts in this repository",
      "conditions": "machine-counted 2026-08-27; the ritual greps each episode's two files for token, group-id, port, and proxy patterns before every push; both credential homes re-verified mode 600 today (workstation config file, orchestrator secrets file)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep23-security-handcraft.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep24-token-ledger#1",
      "subject": "Total metered consumption, main agent",
      "metric": "Tokens recorded in usage fields across all sessions",
      "value": "261,720,417",
      "unit": "tokens",
      "hardware": "workstation, all evidence gathered 2026-08-27 · the main agent's 93 session transcripts parsed on-box, usage fields summed across 3,931 metered assistant turns, per-month and per-model cross-tabs computed, whale-session totals re-read individually, cost fields audited on every turn (2,689 nonzero, all February–March, totaling 52.27, currency field null) · component arithmetic re-verified: 38,875,077 + 1,769,499 + 221,075,841 + 0 = 261,720,417",
      "conditions": "93 session transcripts spanning February 1 to August 27, 208 days, 3,931 metered assistant turns; components re-summed: input 38,875,077 plus output 1,769,499 plus cacheRead 221,075,841 plus cacheWrite 0; cost fields audited on every turn — 2,689 nonzero, all in February and March (February 24.24, March 28.03), totaling 52.27 with a null currency field; every turn since the June restart reads zero",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep24-token-ledger#2",
      "subject": "Composition of the burn",
      "metric": "Cache-read share of total tokens",
      "value": "84.5",
      "unit": "percent",
      "hardware": "workstation, all evidence gathered 2026-08-27 · the main agent's 93 session transcripts parsed on-box, usage fields summed across 3,931 metered assistant turns, per-month and per-model cross-tabs computed, whale-session totals re-read individually, cost fields audited on every turn (2,689 nonzero, all February–March, totaling 52.27, currency field null) · component arithmetic re-verified: 38,875,077 + 1,769,499 + 221,075,841 + 0 = 261,720,417",
      "conditions": "221,075,841 of 261,720,417; fresh input 38,875,077 is 14.9%, output 1,769,499 is 0.68%; read-to-write ratio 147:1 — 259,950,918 context tokens in against 1,769,499 out; average metered turn roughly 66,580 in, about 450 out",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep24-token-ledger#3",
      "subject": "Founding-era concentration",
      "metric": "Share of the ledger burned in February and March",
      "value": "71.6",
      "unit": "percent",
      "hardware": "workstation, all evidence gathered 2026-08-27 · the main agent's 93 session transcripts parsed on-box, usage fields summed across 3,931 metered assistant turns, per-month and per-model cross-tabs computed, whale-session totals re-read individually, cost fields audited on every turn (2,689 nonzero, all February–March, totaling 52.27, currency field null) · component arithmetic re-verified: 38,875,077 + 1,769,499 + 221,075,841 + 0 = 261,720,417",
      "conditions": "February 91,168,392 across 9 sessions and 1,302 turns plus March 96,182,265 across 28 sessions and 1,391 turns equals 187,350,657; February ran over three million tokens a day versus about 1.2 million now (July 34,679,955; August 31,743,159 through day 27); largest single session began February 19 — 298 turns, 31,989,653 tokens, 12.2%, averaging 107,350 per turn; top three sessions 69,171,676, or 26.4%",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep24-token-ledger#4",
      "subject": "The silence",
      "metric": "Days of zero metered turns between March and June",
      "value": "75",
      "unit": "days",
      "hardware": "workstation, all evidence gathered 2026-08-27 · the main agent's 93 session transcripts parsed on-box, usage fields summed across 3,931 metered assistant turns, per-month and per-model cross-tabs computed, whale-session totals re-read individually, cost fields audited on every turn (2,689 nonzero, all February–March, totaling 52.27, currency field null) · component arithmetic re-verified: 38,875,077 + 1,769,499 + 221,075,841 + 0 = 261,720,417",
      "conditions": "last March entry March 29 at 12:53 UTC, two minutes after the glm-5.1 swap Episode 18 dated to 12:51; first entry back June 12 at 21:33 UTC, the same day the diary resumed in Episode 6; April and May record nothing; three independent systems agree",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep24-token-ledger#5",
      "subject": "Local fallback usage",
      "metric": "Metered turns served by the local 9B fallback",
      "value": "17",
      "unit": "turns",
      "hardware": "workstation, all evidence gathered 2026-08-27 · the main agent's 93 session transcripts parsed on-box, usage fields summed across 3,931 metered assistant turns, per-month and per-model cross-tabs computed, whale-session totals re-read individually, cost fields audited on every turn (2,689 nonzero, all February–March, totaling 52.27, currency field null) · component arithmetic re-verified: 38,875,077 + 1,769,499 + 221,075,841 + 0 = 261,720,417",
      "conditions": "672,468 tokens, 0.26% of the ledger, all in June, provider local-vllm/qwythos-9b; the 27B serving Claude Code (Episode 14) runs on a separate harness and is off this cloud ledger; 586 turns totaling 44,334,074 carry no model header and remain unattributed",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep24-token-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep25-human-ledger#1",
      "subject": "Touch one, dropped material",
      "metric": "Entries in the chat-runtime inbound folder",
      "value": "26",
      "unit": "entries",
      "hardware": "workstation + fleet records, all evidence gathered 2026-08-27 · chat-runtime inbound folder re-listed entry by entry with extension breakdown, wechat-editor-team archive recounted by extension (html only: 72 articles + 105 daily + 14 archive), all 61 article-*.gate.json records parsed for retry-round histogram, full-tree freepublish grep re-run (0 hits), agent diary 2026-08-19.md line 25 read, openclaw.json backup list re-statted · token and turn totals cross-referenced from Episode 24's published measurement",
      "conditions": "window 2026-02-19 through 2026-08-08, 171 days, about one gesture a week; composition by extension: 15 jpg, 6 png, 2 voice clips (ogg), 2 PDFs, 1 extension-less investigation bundle; Episode 4's '26 jpg files' corrected here — 15 jpg among 26",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep25-human-ledger#2",
      "subject": "Touch three, pieces behind the phone ceiling",
      "metric": "Finished html pieces in the WeChat archive",
      "value": "191",
      "unit": "html files",
      "hardware": "workstation + fleet records, all evidence gathered 2026-08-27 · chat-runtime inbound folder re-listed entry by entry with extension breakdown, wechat-editor-team archive recounted by extension (html only: 72 articles + 105 daily + 14 archive), all 61 article-*.gate.json records parsed for retry-round histogram, full-tree freepublish grep re-run (0 hits), agent diary 2026-08-19.md line 25 read, openclaw.json backup list re-statted · token and turn totals cross-referenced from Episode 24's published measurement",
      "conditions": "72 articles + 105 daily + 14 archive, modification dates 2026-06-15 through 2026-08-27 (newest written today); 0 freepublish call sites in the checked-in tree re-grepped 2026-08-27, draft box is the API ceiling, each piece that shipped shipped through one phone tap — tap count is architecture-implied, not logged; separately 4 paste-ready Reddit/HN packages sit at 0 clicked",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep25-human-ledger#3",
      "subject": "Machine self-stamps on the same production line",
      "metric": "Quality-gate records with no human field",
      "value": "61",
      "unit": "records",
      "hardware": "workstation + fleet records, all evidence gathered 2026-08-27 · chat-runtime inbound folder re-listed entry by entry with extension breakdown, wechat-editor-team archive recounted by extension (html only: 72 articles + 105 daily + 14 archive), all 61 article-*.gate.json records parsed for retry-round histogram, full-tree freepublish grep re-run (0 hits), agent diary 2026-08-19.md line 25 read, openclaw.json backup list re-statted · token and turn totals cross-referenced from Episode 24's published measurement",
      "conditions": "per-article records — 46 on the articles line, 15 on the daily line; each record holds 7 machine checks (machine_checks 7, machine_passed 7) plus pass flag and timestamp; retry-round histogram 42 first-pass, 8 second, 8 third, 3 fourth — the seven machine checks are the gate, the human is the exit",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep25-human-ledger#4",
      "subject": "One-line rulings receipted by machines",
      "metric": "Verdicts that reversed a machine conclusion, 208 days",
      "value": "5",
      "unit": "rulings",
      "hardware": "workstation + fleet records, all evidence gathered 2026-08-27 · chat-runtime inbound folder re-listed entry by entry with extension breakdown, wechat-editor-team archive recounted by extension (html only: 72 articles + 105 daily + 14 archive), all 61 article-*.gate.json records parsed for retry-round histogram, full-tree freepublish grep re-run (0 hits), agent diary 2026-08-19.md line 25 read, openclaw.json backup list re-statted · token and turn totals cross-referenced from Episode 24's published measurement",
      "conditions": "August 11 token-leak doctrine (Episode 23 record), August 13 one principle three machines (Episode 5 record), August 15 21:17 redundancy call on brain-swap night (Episode 18 record; the named pre-swap backup from 21:05 survives, that night's rolling-backup fossils have since been rotated away), August 19 11:47 root-cause reversal verified today at agent diary 2026-08-19.md line 25, August 25 contract terms (Episode 4 record)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep25-human-ledger#5",
      "subject": "Tokens per logged human act",
      "metric": "Episode 24 machine ledger divided by the human column",
      "value": "1,163,202",
      "unit": "tokens per act",
      "hardware": "workstation + fleet records, all evidence gathered 2026-08-27 · chat-runtime inbound folder re-listed entry by entry with extension breakdown, wechat-editor-team archive recounted by extension (html only: 72 articles + 105 daily + 14 archive), all 61 article-*.gate.json records parsed for retry-round histogram, full-tree freepublish grep re-run (0 hits), agent diary 2026-08-19.md line 25 read, openclaw.json backup list re-statted · token and turn totals cross-referenced from Episode 24's published measurement",
      "conditions": "261,720,417 tokens and 3,931 turns across 208 days against roughly 225 logged acts (26 drops + 3 gate interactions + 191 tap-capped pieces + 5 rulings); about 17 machine turns per act, about one logged act per day; treating every finished piece as one tap makes 225 an upper bound on acts, so the per-act ratio can only be higher",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep25-human-ledger.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep26-closing-the-loop#1",
      "subject": "The completed series",
      "metric": "Posts in One Man One Legion at completion",
      "value": "24",
      "unit": "posts",
      "hardware": "this site's own repository, all evidence gathered 2026-08-27 · series statistics computed from the published corpus itself — post, arc, and episode-number counts from the posts collection frontmatter, body-word totals summed after stripping frontmatter, measurement-entry count from the ledger collection · every cross-referenced figure (261,720,417 tokens, 147:1, 84.5%, 52.27, 18 of 22, 191 pieces, 5 rulings, roughly 225 acts) re-grepped verbatim from the published episode bodies on the day of writing",
      "conditions": "one anchor (seriesOrder 0) plus 23 episodes; episode numbers 8, 15, and 22 were never issued, so episode 26 by numbering is the 23rd by count; all 24 posts carry the same frontmatter date, 2026-08-27 — counted from the posts collection the day the finale was written",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep26-closing-the-loop#2",
      "subject": "Arcs lit at completion",
      "metric": "Series arcs and their episode counts",
      "value": "5",
      "unit": "arcs",
      "hardware": "this site's own repository, all evidence gathered 2026-08-27 · series statistics computed from the published corpus itself — post, arc, and episode-number counts from the posts collection frontmatter, body-word totals summed after stripping frontmatter, measurement-entry count from the ledger collection · every cross-referenced figure (261,720,417 tokens, 147:1, 84.5%, 52.27, 18 of 22, 191 pieces, 5 rulings, roughly 225 acts) re-grepped verbatim from the published episode bodies on the day of writing",
      "conditions": "The Workshops 7 episodes (1, 7, 9, 10, 11, 12, 13), War Stories 5 (6, 19, 20, 21, 23), The Engine Room 4 (14, 16, 17, 18), The Cockpit 4 (2, 3, 4, 5), The Ledger 3 (24, 25, 26) — read from frontmatter across the 23 episode files",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep26-closing-the-loop#3",
      "subject": "Public ledger entries filed by the series",
      "metric": "Measurement entries across the series yaml files",
      "value": "121",
      "unit": "ledger entries",
      "hardware": "this site's own repository, all evidence gathered 2026-08-27 · series statistics computed from the published corpus itself — post, arc, and episode-number counts from the posts collection frontmatter, body-word totals summed after stripping frontmatter, measurement-entry count from the ledger collection · every cross-referenced figure (261,720,417 tokens, 147:1, 84.5%, 52.27, 18 of 22, 191 pieces, 5 rulings, roughly 225 acts) re-grepped verbatim from the published episode bodies on the day of writing",
      "conditions": "116 counted across the 23 series yaml files preceding the finale on 2026-08-27, plus 5 in this episode's own file; every entry's value mirrors a number printed in its post body — the preflight mirror check enforces this per post",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep26-closing-the-loop#4",
      "subject": "Corpus size",
      "metric": "Body words across the series",
      "value": "21,818",
      "unit": "words",
      "hardware": "this site's own repository, all evidence gathered 2026-08-27 · series statistics computed from the published corpus itself — post, arc, and episode-number counts from the posts collection frontmatter, body-word totals summed after stripping frontmatter, measurement-entry count from the ledger collection · every cross-referenced figure (261,720,417 tokens, 147:1, 84.5%, 52.27, 18 of 22, 191 pieces, 5 rulings, roughly 225 acts) re-grepped verbatim from the published episode bodies on the day of writing",
      "conditions": "whitespace-split after stripping each post's frontmatter, summed across all 24 posts including this finale in its final amended form, computed on 2026-08-27 — the count moves with any future edit, this is the completion-day reading",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep26-closing-the-loop#5",
      "subject": "The closing ratio",
      "metric": "Machine tokens per logged human act",
      "value": "1,163,202",
      "unit": "tokens per act",
      "hardware": "this site's own repository, all evidence gathered 2026-08-27 · series statistics computed from the published corpus itself — post, arc, and episode-number counts from the posts collection frontmatter, body-word totals summed after stripping frontmatter, measurement-entry count from the ledger collection · every cross-referenced figure (261,720,417 tokens, 147:1, 84.5%, 52.27, 18 of 22, 191 pieces, 5 rulings, roughly 225 acts) re-grepped verbatim from the published episode bodies on the day of writing",
      "conditions": "Episode 24's 261,720,417 metered tokens over 208 days divided by Episode 25's roughly 225 logged acts (26 drops + 3 gate interactions + 191 tap-capped pieces + 5 rulings); to the nearest act — treating every finished piece as one tap makes 225 an upper bound, so the ratio can only be higher",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep26-closing-the-loop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep3-chat-cockpit#1",
      "subject": "June 20 root cause certainty",
      "metric": "Independent DNS resolvers returning NXDOMAIN for the dead proxy exit node",
      "value": "4",
      "unit": "resolvers",
      "hardware": "Workstation openclaw runtime · evidence = openclaw.json channels, cron jobs.json, run logs, 2 dated diagnosis docs · timestamps Asia/Shanghai",
      "conditions": "Ali, Cloudflare, Google DoH, 8.8.8.8; the single-node exit was the only pipe for every command; gateway logged a polling stall every 90 seconds (telegram-proxy-fix-2026-06-20.md)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep3-chat-cockpit#2",
      "subject": "The redundant pipe built in June",
      "metric": "Load-balanced proxy nodes in the pool",
      "value": "6",
      "unit": "nodes",
      "hardware": "Workstation openclaw runtime · evidence = openclaw.json channels, cron jobs.json, run logs, 2 dated diagnosis docs · timestamps Asia/Shanghai",
      "conditions": "measured latencies 0.44 to 4.14 seconds; health probe every minute, least-ping balancer, named fallback; the June document's measurements, not re-measured 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep3-chat-cockpit#3",
      "subject": "July 4 stranded deliveries",
      "metric": "OpenClaw cron jobs plus system crontab scripts stuck at push",
      "value": "10 / 3",
      "unit": "jobs / scripts",
      "hardware": "Workstation openclaw runtime · evidence = openclaw.json channels, cron jobs.json, run logs, 2 dated diagnosis docs · timestamps Asia/Shanghai",
      "conditions": "13 total; work had succeeded and products sat on disk, only delivery dead; counted from the diagnosis table rows — the document's summary line says 13 OpenClaw jobs, its table lists 10",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep3-chat-cockpit#4",
      "subject": "Same envelope, two channels",
      "metric": "Idle time on Feishu vs run time on Telegram for the identical noon job",
      "value": "10 / 270",
      "unit": "seconds",
      "hardware": "Workstation openclaw runtime · evidence = openclaw.json channels, cron jobs.json, run logs, 2 dated diagnosis docs · timestamps Asia/Shanghai",
      "conditions": "agentTurn news jobs on Feishu ran 149 and 112 seconds the same evening; the systemEvent job spent zero tokens with an empty session; both rows from the 2026-07-04 diagnosis contrast table, not re-run",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep3-chat-cockpit#5",
      "subject": "Cockpit wiring at press time",
      "metric": "Enabled channels and Telegram group count",
      "value": "2 / 12",
      "unit": "channels / groups",
      "hardware": "Workstation openclaw runtime · evidence = openclaw.json channels, cron jobs.json, run logs, 2 dated diagnosis docs · timestamps Asia/Shanghai",
      "conditions": "openclaw.json read 2026-08-27; 3 of the 4 lit cron jobs route to Telegram groups and 0 of the 4 Feishu-routed entries are lit; last scheduled Feishu fire July 23, 35 days dark at press time; newest run (arXiv digest) finished status ok",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep3-chat-cockpit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep4-three-touchpoints#1",
      "subject": "Division-of-labor contract",
      "metric": "Human touchpoints per published piece",
      "value": "3",
      "unit": "touchpoints",
      "hardware": "Fleet-wide · evidence = site playbook, fleet WORKLOG 2026-08-25/26, workstation session log 2026-06-24, wechat-mp-api.mjs full-tree grep, media/inbound count · read 2026-08-27",
      "conditions": "fixed into the site playbook 2026-08-25 after a fully-fictional-article drill; slip budgeted at 5 minutes; the operator never touches git, build, or deploy",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep4-three-touchpoints#2",
      "subject": "First real gate slip",
      "metric": "Slip items machine-verified vs total pressure-tested",
      "value": "21 / 27",
      "unit": "items",
      "hardware": "Fleet-wide · evidence = site playbook, fleet WORKLOG 2026-08-25/26, workstation session log 2026-06-24, wechat-mp-api.mjs full-tree grep, media/inbound count · read 2026-08-27",
      "conditions": "6 more awaited a terminal grep the operator ran personally on the workstation, confirming the half-resident log line 2 times; 1 sourcing label caught and fixed pre-slip; final slip rows: 13 A-items and 6 B-items passed, 4 C-items left to the human fact arbiter; article held unpushed until the slip returned",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep4-three-touchpoints#3",
      "subject": "WeChat publish path",
      "metric": "freepublish call sites in checked-in code",
      "value": "0",
      "unit": "call sites",
      "hardware": "Fleet-wide · evidence = site playbook, fleet WORKLOG 2026-08-25/26, workstation session log 2026-06-24, wechat-mp-api.mjs full-tree grep, media/inbound count · read 2026-08-27",
      "conditions": "code ends at draft/add (1 call site); the one interactive attempt, 2026-06-24, returned 48001 api unauthorized — a subscription-account permission wall; publishing happens from the phone's subscription assistant, per the session record",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep4-three-touchpoints#4",
      "subject": "Touchpoint 1 inbox",
      "metric": "Chat-dropped jpg files in the media inbound folder",
      "value": "26",
      "unit": "files",
      "hardware": "Fleet-wide · evidence = site playbook, fleet WORKLOG 2026-08-25/26, workstation session log 2026-06-24, wechat-mp-api.mjs full-tree grep, media/inbound count · read 2026-08-27",
      "conditions": "counted 2026-08-27, newest 2026-08-08; identity-lock image jobs take the newest file with no path asked",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep4-three-touchpoints#5",
      "subject": "Distribution packages",
      "metric": "Paste-ready packages delivered with the first Watch issue",
      "value": "3",
      "unit": "packages",
      "hardware": "Fleet-wide · evidence = site playbook, fleet WORKLOG 2026-08-25/26, workstation session log 2026-06-24, wechat-mp-api.mjs full-tree grep, media/inbound count · read 2026-08-27",
      "conditions": "aimed at r/LocalLLaMA, r/DeepSeek, r/ChatGPT with a recommended firing order and a risk flag on the thinnest source; a 4th (r/webdev plus Show HN) followed the same evening; all unclicked at press time, held for a hotter news cycle",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep4-three-touchpoints.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep5-fleet-on-one-screen#1",
      "subject": "Cross-machine channel",
      "metric": "Directed ssh + headless-Claude doors between the 3 machines",
      "value": "6",
      "unit": "doors",
      "hardware": "Fleet-wide · evidence = fleet WORKLOG 2026-08-10/11/13, cross-machine-channel and aws-fleet-role machine memories, multi-server-framework.md v3 (58 lines, wc), wrapper files stat'd on all 3 machines 2026-08-27, fleet-probe.sh (231 lines, wc), state.json and alerts.log read live 2026-08-27, ts-keepalive log tail",
      "conditions": "all 6 wrapper files verified on disk 2026-08-27; built in one day 2026-08-10 (timestamps 08:33 / 09:12 key auth / 09:16 / 15:45); 4 of them stat at 334 to 912 bytes; stateless one-shot calls; credentials eval'd on the far side and never cross the wire",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep5-fleet-on-one-screen#2",
      "subject": "Mesh stress test",
      "metric": "Claude round trip to the 512 MB box vs the workstation",
      "value": "24 s vs 8–12 s",
      "unit": "latency",
      "hardware": "Fleet-wide · evidence = fleet WORKLOG 2026-08-10/11/13, cross-machine-channel and aws-fleet-role machine memories, multi-server-framework.md v3 (58 lines, wc), wrapper files stat'd on all 3 machines 2026-08-27, fleet-probe.sh (231 lines, wc), state.json and alerts.log read live 2026-08-27, ts-keepalive log tail",
      "conditions": "measured 2026-08-11 06:32 UTC; 0 packet loss on both links; direct network 140 ms and 89 ms; the ≈2.4× gap attributed to RAM (interactive Claude 157 MB resident, 77 MB available vs 99 MB headless need); test deliberately single-shot, no flooding",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep5-fleet-on-one-screen#3",
      "subject": "Fleet probe",
      "metric": "Bash lines checking the whole fleet every 5 minutes",
      "value": "231",
      "unit": "lines",
      "hardware": "Fleet-wide · evidence = fleet WORKLOG 2026-08-10/11/13, cross-machine-channel and aws-fleet-role machine memories, multi-server-framework.md v3 (58 lines, wc), wrapper files stat'd on all 3 machines 2026-08-27, fleet-probe.sh (231 lines, wc), state.json and alerts.log read live 2026-08-27, ts-keepalive log tail",
      "conditions": "12 keys (small box memory/load/disk/gateway/Tailscale path, Seoul vitals, 3 external APIs, orchestrator dispatcher), 4 severity states, whole fleet logged in 3 lines per round, Telegram push on red; first run 9.9 s 2026-08-11 07:06, 3.7 s after the 09:42 v2 rewrite",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep5-fleet-on-one-screen#4",
      "subject": "Alert history",
      "metric": "Red / yellow / green alerts over 16 days",
      "value": "20 / 8 / 25",
      "unit": "alerts",
      "hardware": "Fleet-wide · evidence = fleet WORKLOG 2026-08-10/11/13, cross-machine-channel and aws-fleet-role machine memories, multi-server-framework.md v3 (58 lines, wc), wrapper files stat'd on all 3 machines 2026-08-27, fleet-probe.sh (231 lines, wc), state.json and alerts.log read live 2026-08-27, ts-keepalive log tail",
      "conditions": "machine-counted from alerts.log 2026-08-27; exactly 1 real link outage (August 12, 10 minutes); load reds 10 times at 2.01–2.88, all gone by the next check; memory warn brushes 5 times at 78–98 MB recovering to 140–162 MB; bot self-check red 7 times, each healed within 10 minutes, once at 01:15 on measurement day",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep5-fleet-on-one-screen#5",
      "subject": "Longest unbroken streak",
      "metric": "Consecutive 5-minute checks since the v2 reset",
      "value": "4,711",
      "unit": "checks",
      "hardware": "Fleet-wide · evidence = fleet WORKLOG 2026-08-10/11/13, cross-machine-channel and aws-fleet-role machine memories, multi-server-framework.md v3 (58 lines, wc), wrapper files stat'd on all 3 machines 2026-08-27, fleet-probe.sh (231 lines, wc), state.json and alerts.log read live 2026-08-27, ts-keepalive log tail",
      "conditions": "held by 6 keys; span 16.4 days; arithmetic lands within 5 minutes of the 2026-08-11 09:42 v2 state reset; the path key's own 4,526-check streak begins on the exact minute of the August 12 outage recovery",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep5-fleet-on-one-screen.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep6-agent-diary#1",
      "subject": "Agent memory directory, inventoried",
      "metric": "Daily diary files vs topical note files",
      "value": "63 / 34",
      "unit": "files",
      "hardware": "Workstation openclaw workspace memory system · evidence = memory/ directory (97 files), AGENTS.md constitution, MEMORY.md, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "97 files total, read 2026-08-27; corrects the anchor post's 97 daily diary files — 97 counts every file in the directory, 63 are dated daily entries",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep6-agent-diary#2",
      "subject": "Diary coverage",
      "metric": "Days with a daily entry vs days in span",
      "value": "63 / 186",
      "unit": "days",
      "hardware": "Workstation openclaw workspace memory system · evidence = memory/ directory (97 files), AGENTS.md constitution, MEMORY.md, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "first daily 2026-02-23, last 2026-08-27 (mtime 18:26 on the day of reading); 123 days in the span hold no daily entry",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep6-agent-diary#3",
      "subject": "Longest silence",
      "metric": "Interval between consecutive daily entries",
      "value": "75",
      "unit": "days",
      "hardware": "Workstation openclaw workspace memory system · evidence = memory/ directory (97 files), AGENTS.md constitution, MEMORY.md, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "2026-03-29 (records the GLM-5.1 swap; the same day the first cron job fired, 21:27, per episode 19) to 2026-06-12; why the pen stopped is inference, not logged",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep6-agent-diary#4",
      "subject": "Raw diary volume",
      "metric": "Characters across all daily entries",
      "value": "225236",
      "unit": "characters",
      "hardware": "Workstation openclaw workspace memory system · evidence = memory/ directory (97 files), AGENTS.md constitution, MEMORY.md, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "wc -m over 63 daily files, markdown included, average about 3,575 per entry; the agent writes in Chinese",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep6-agent-diary#5",
      "subject": "Curated long-term memory",
      "metric": "MEMORY.md size (lines / bytes)",
      "value": "3576 / 160639",
      "unit": "lines / bytes",
      "hardware": "Workstation openclaw workspace memory system · evidence = memory/ directory (97 files), AGENTS.md constitution, MEMORY.md, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "top section stamped 2026-08-15, file last maintained 2026-08-21 11:25; mandated by the 292-line AGENTS.md constitution, last edited 2026-08-17 19:57",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep6-agent-diary.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep7-video-workshop#1",
      "subject": "H3 text-to-video jobs",
      "metric": "Logged jobs / completed / MP4s on disk",
      "value": "6 / 6 / 11",
      "unit": "jobs",
      "hardware": "Workstation · MiniMax H3 on one RTX 4090D via ComfyUI 0.30 · evidence = h3-video skill + 6 job logs + 11 MP4s on disk, h3-guide.md, h3_t2v.py, h3-prompt-director v1.3 (test-log-001, C001.json, r2v_pipeline), MP4 box scans · recounted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "job logs h3job_*, Aug 6 to Aug 14, every log ends in a completion line; 11 MP4s = 6 job outputs + 5 deployment-day tests (first-success test + 4 content probes: baseline, horror, war, weapon)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep7-video-workshop#2",
      "subject": "Render-time ladder",
      "metric": "Wall-clock generation by clip length and resolution",
      "value": "90 / 138 / 790",
      "unit": "seconds",
      "hardware": "Workstation · MiniMax H3 on one RTX 4090D via ComfyUI 0.30 · evidence = h3-video skill + 6 job logs + 11 MP4s on disk, h3-guide.md, h3_t2v.py, h3-prompt-director v1.3 (test-log-001, C001.json, r2v_pipeline), MP4 box scans · recounted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "3s clip at 0.3MP = 90s (two runs); 5s at 0.4MP = 138s (three takes, identical); 10s at 0.4MP = 790s; steps=20; 4090 runs the model through weight offload — doubling clip length 5s to 10s cost 5.7x render",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep7-video-workshop#3",
      "subject": "Self-delivery",
      "metric": "Jobs whose finished video was posted back to the chat group by the script",
      "value": "5 / 6",
      "unit": "jobs",
      "hardware": "Workstation · MiniMax H3 on one RTX 4090D via ComfyUI 0.30 · evidence = h3-video skill + 6 job logs + 11 MP4s on disk, h3-guide.md, h3_t2v.py, h3-prompt-director v1.3 (test-log-001, C001.json, r2v_pipeline), MP4 box scans · recounted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "each delivery leaves a message receipt in the job log; the first skeleton test was not sent; the agent never polls — launch returns instantly and the script posts video + prompt + seed on completion",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep7-video-workshop#4",
      "subject": "R2V character test matrix",
      "metric": "Test cells and outcomes",
      "value": "8 (3 pass / 2 fail / 2 improved / 1 unmarked)",
      "unit": "cells",
      "hardware": "Workstation · MiniMax H3 on one RTX 4090D via ComfyUI 0.30 · evidence = h3-video skill + 6 job logs + 11 MP4s on disk, h3-guide.md, h3_t2v.py, h3-prompt-director v1.3 (test-log-001, C001.json, r2v_pipeline), MP4 box scans · recounted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "test-log-001, Aug 10, reference-to-video model at 15 steps test mode; failures = seed-related eye defect and underexposure; retries improved by seed swap and by writing the light source into the prompt",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep7-video-workshop#5",
      "subject": "Motion budget",
      "metric": "Cap on motion elements per prompt",
      "value": "1 / 2 / 2 / 1 / 1",
      "unit": "motions",
      "hardware": "Workstation · MiniMax H3 on one RTX 4090D via ComfyUI 0.30 · evidence = h3-video skill + 6 job logs + 11 MP4s on disk, h3-guide.md, h3_t2v.py, h3-prompt-director v1.3 (test-log-001, C001.json, r2v_pipeline), MP4 box scans · recounted 2026-08-27 · timestamps Asia/Shanghai",
      "conditions": "primary / secondary / environmental / camera / expression; director rule: brainstorm ten actions, keep the 3 that matter; result tracker built to log every run has zero entries — its history file was never created",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep7-video-workshop.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep9-text-factory#1",
      "subject": "WeChat article archive",
      "metric": "Finished HTML articles by directory, summed",
      "value": "72 + 105 + 14 = 191",
      "unit": "files",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = article archive (articles/, daily/, archive/), WORKFLOW-STANDARD-V3.md, utils/quality-gate.py, .gate.json stamps, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "articles/ 72, daily/ 105, archive/ 14 (recursive); counted 2026-08-27; span June 15 (first daily article; topics pool opened June 12) to Aug 27 (three articles dated that day)",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep9-text-factory#2",
      "subject": "Quality codification vs enforcement",
      "metric": "Iron laws / machine hard scans / AI judgments",
      "value": "15 / 7 / 4",
      "unit": "rules",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = article archive (articles/, daily/, archive/), WORKFLOW-STANDARD-V3.md, utils/quality-gate.py, .gate.json stamps, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "WORKFLOW-STANDARD-V3.md; machine scans M1-M7 run in utils/quality-gate.py; AI judgments A1-A4 answered by the writing agent pre-push; fact-check law adds an AI judge for high-risk claims",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep9-text-factory#3",
      "subject": "Pen names in active use",
      "metric": "Personas with verified bylines in shipped files",
      "value": "4",
      "unit": "pen names",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = article archive (articles/, daily/, archive/), WORKFLOW-STANDARD-V3.md, utils/quality-gate.py, .gate.json stamps, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "Lu Shi / Shen Jianwei / Lin Shu / Qin Yin mapped by emotion type A-D; bylines appear in 30 archived HTML files; a fifth persona (Zhixing Xiaoya, US-stock config) has zero signatures in the archive — configured, not shipped",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep9-text-factory#4",
      "subject": "Quality learning loop",
      "metric": "Failure records with round distribution",
      "value": "102 (88 / 11 / 3)",
      "unit": "records",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = article archive (articles/, daily/, archive/), WORKFLOW-STANDARD-V3.md, utils/quality-gate.py, .gate.json stamps, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "quality-lessons.jsonl, 2026-07-18 to 2026-08-27 17:46:40 (still written on the measurement day); promotion rule: same error 3 times becomes a hard-scan rule",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-legion-ep9-text-factory#5",
      "subject": "Push unlock stamp",
      "metric": "Machine checks run vs passed on a passing article",
      "value": "7 / 7",
      "unit": "checks",
      "hardware": "Workstation openclaw workspace wechat-editor-team · evidence = article archive (articles/, daily/, archive/), WORKFLOW-STANDARD-V3.md, utils/quality-gate.py, .gate.json stamps, quality-lessons.jsonl · timestamps Asia/Shanghai",
      "conditions": "articles/2026-08-27-gates-ai-warning.gate.json, round 1, 2026-08-27 17:31:32; push script refuses to run without a .gate.json stamp; final leg is the platform's official draft-box API",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-legion-ep9-text-factory.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-one-legion-fleet-audit#1",
      "subject": "Fleet scheduler (cron) across the 3-machine legion",
      "metric": "Cron jobs installed vs enabled at audit",
      "value": "22 / 4",
      "unit": null,
      "hardware": "3-machine fleet — US-West 512 MB VPS + Seoul 2-vCPU cloud VM + local RTX 4090D 24 GB / RTX A4000 16 GB workstation · live-inspection audit",
      "conditions": "Live inspection 2026-08-27; 18 disabled in a deliberate over-automation pullback; 6 timestamped job-file backups preserve the add/remove history; enabled set = 1 feed delivery, 2 topic-scouting pings, 1 arXiv digest",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-one-legion-fleet-audit#2",
      "subject": "Agent diary corpus (daily files, workstation)",
      "metric": "Diary files on disk",
      "value": "97",
      "unit": "files",
      "hardware": "3-machine fleet — US-West 512 MB VPS + Seoul 2-vCPU cloud VM + local RTX 4090D 24 GB / RTX A4000 16 GB workstation · live-inspection audit",
      "conditions": "Counted 2026-08-27; file count only — consecutive-day coverage not claimed",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-one-legion-fleet-audit#3",
      "subject": "Agent runtime chat channels (Telegram)",
      "metric": "Connected chat groups",
      "value": "12",
      "unit": "groups",
      "hardware": "3-machine fleet — US-West 512 MB VPS + Seoul 2-vCPU cloud VM + local RTX 4090D 24 GB / RTX A4000 16 GB workstation · live-inspection audit",
      "conditions": "Counted from live config 2026-08-27; Feishu channel also enabled (no group count); group identifiers withheld by policy",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-one-legion-fleet-audit#4",
      "subject": "Local model stable on the workstation",
      "metric": "Locally runnable LLMs (simultaneous serving at audit)",
      "value": "3 (2 simultaneous)",
      "unit": null,
      "hardware": "3-machine fleet — US-West 512 MB VPS + Seoul 2-vCPU cloud VM + local RTX 4090D 24 GB / RTX A4000 16 GB workstation · live-inspection audit",
      "conditions": "Qwen3.8-27B-AWQ 29 GB + gemma-4-12b-coder 23 GB in two simultaneous vLLM instances; Qwythos-9B 18 GB standby; counted 2026-08-27; runtime fallback chain = 1 cloud tier then local 9B",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-27-one-man-one-legion-fleet-audit#5",
      "subject": "Chat-triggered image workshop (FLUX on A4000 16 GB)",
      "metric": "Wall time from chat command to image posted back",
      "value": "50 / 66–112 / 330–379",
      "unit": "s",
      "hardware": "3-machine fleet — US-West 512 MB VPS + Seoul 2-vCPU cloud VM + local RTX 4090D 24 GB / RTX A4000 16 GB workstation · live-inspection audit",
      "conditions": "10 completed logged runs: fast path 1280×720·20 steps n=3 → 50 s each; full path 1920×1080·28 steps warm n=5 → 66–112 s (3 face-locked at 66 s); session-opening runs n=2 → 330–379 s, same settings settle to 66 s afterward (cold model load); single workstation GPU, queue-dependent, log timestamps 2026-08",
      "measured_on": "2026-08-27",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-27-one-man-one-legion-fleet-audit.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#1",
      "subject": "SigPulse agent interface (commits 8eeb3ec + 4b2db6f)",
      "metric": "Push-to-live deployment latency",
      "value": "12–18",
      "unit": "s",
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "Single observation, 6 s polling granularity (live by the 4th check at t≈18 s); GitHub push → Vercel auto-build of 13 files (+950 lines)",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#2",
      "subject": "sigpulse.com /api/mcp (359-line stateless Serverless Function)",
      "metric": "tools/call end-to-end latency — first call in run",
      "value": "0.90",
      "unit": "s",
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "curl POST sigpulse_search from AWS Seoul node to production, 5-sample run, 2026-08-26; mechanism (cold vs warm start) not observable from outside",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#3",
      "subject": "sigpulse.com /api/mcp (359-line stateless Serverless Function)",
      "metric": "tools/call end-to-end latency — follow-up calls",
      "value": "0.28–0.34",
      "unit": "s",
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "4 samples immediately after the first call, same node and endpoint; same method",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#4",
      "subject": "Agent-facing static artifacts (posts.json + watch.json + openapi.json + agents.md + ai-catalog.json)",
      "metric": "Total payload size for full first-contact fetch",
      "value": "37305",
      "unit": "B",
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "≈36.4 KiB; per-file: posts.json 4,138 B · watch.json 11,186 B · openapi.json 14,394 B · agents.md 3,163 B · ai-catalog.json 4,424 B; dist output byte-identical to live production",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#5",
      "subject": "sigpulse_search (MCP tool, commit 4b2db6f)",
      "metric": "Natural-language query hit count, phrase-only vs all-terms fallback",
      "value": "0 → 1",
      "unit": "hits",
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "Query 'DeepSeek price': 0 hits with phrase-only substring matching (pre-fix), 1 hit after all-terms-must-match fallback; control queries 'helium export ban' → 1 hit, 'InfiniteTalk VRAM' → 3 typed hits",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#6",
      "subject": "/api/mcp under burst load",
      "metric": "20-concurrent mixed-request success rate",
      "value": "20/20",
      "unit": null,
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "Mixed posts.json/watch.json + tools/list + tools/call(sigpulse_search) burst from one AWS Seoul node, 2026-08-26; latency p50 0.25 s, p95 0.34 s, max 0.35 s, wall 0.4 s",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#7",
      "subject": "Agent interface declared-vs-actual conformance (11-hypothesis adversarial pass)",
      "metric": "Gaps found and fixed",
      "value": "5",
      "unit": "gaps",
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "limit:-1 slice truncation, limit:0 zero-return with full count, empty-query match-all (30 hits), missing-query literal-'undefined' match, undeclared OpenAPI security (7 redocly errors); all fixed in eae3a23 (+31/−4), re-verified live same day",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-agent-tool-interface-ard-mcp-measured#8",
      "subject": "Real MCP client end-to-end (Claude CLI → production /api/mcp)",
      "metric": "Autonomous tool calls answering 3 fact questions",
      "value": "4",
      "unit": "calls",
      "hardware": "Astro 5.18.2 static build on AWS Seoul node (2 vCPU) · Vercel global CDN + one Serverless Function · web-stack timings, no GPU",
      "conditions": "Client planned 4 calls unprompted (first 3 in parallel, passed limit 1000 unasked); all facts verified correct incl. Chinese original title 「DeepSeek涨价背后，一个时代结束了」 and 2026-08-14 original date; 2026-08-26",
      "measured_on": "2026-08-26",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-agent-tool-interface-ard-mcp-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-torch-load-dependency-matrix#1",
      "subject": "InfiniteTalk 14B fp8 restore, transformers 4.57.3 on torch 2.4.1",
      "metric": "Launch outcome",
      "value": "Blocked at torch.load (CVE-2025-32434 ValueError)",
      "unit": null,
      "hardware": "RTX 4090D 24GB + RTX A4000 16GB dual-GPU workstation (Ubuntu 24.04, conda, Python 3.10)",
      "conditions": "Gate fires in transformers check_torch_load_is_safe when the wav2vec2 .pt loads; time-to-fail 18.0–18.6 s, three consecutive attempts, 2026-02-19; safetensors loads exempt",
      "measured_on": "2026-02-19",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-torch-load-dependency-matrix#2",
      "subject": "InfiniteTalk 14B fp8 stack, torch upgraded to 2.10.0+cu128",
      "metric": "Stack outcome after upgrade",
      "value": "5 simultaneous breakages",
      "unit": null,
      "hardware": "RTX 4090D 24GB + RTX A4000 16GB dual-GPU workstation (Ubuntu 24.04, conda, Python 3.10)",
      "conditions": "pip: torchaudio 2.4.1+cu124 / torchvision 0.19.1+cu124 / xformers 0.0.28 all require torch==2.4.1; runtime: operator torchvision::nms does not exist; diffusers JITCallable._set_src() import failure; flash_attn_2_cuda undefined symbol; xformers built-for-cu121 warning — 2026-02-20, rolled back same morning",
      "measured_on": "2026-02-19",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-torch-load-dependency-matrix#3",
      "subject": "InfiniteTalk 14B fp8 restore, transformers 4.49.0 on torch 2.4.1",
      "metric": "Launch outcome",
      "value": "Imports, dies in xfuser→diffusers import chain",
      "unit": null,
      "hardware": "RTX 4090D 24GB + RTX A4000 16GB dual-GPU workstation (Ubuntu 24.04, conda, Python 3.10)",
      "conditions": "Passes the torch.load gate but fails at runtime inside xfuser's diffusers imports, 2026-02-20",
      "measured_on": "2026-02-19",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-torch-load-dependency-matrix#4",
      "subject": "InfiniteTalk 14B fp8 restore, transformers 4.51.0 on torch 2.4.1",
      "metric": "Launch outcome",
      "value": "Imports, dies in xfuser→diffusers import chain",
      "unit": null,
      "hardware": "RTX 4090D 24GB + RTX A4000 16GB dual-GPU workstation (Ubuntu 24.04, conda, Python 3.10)",
      "conditions": "Same failure mode as 4.49.0, 2026-02-20",
      "measured_on": "2026-02-19",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-torch-load-dependency-matrix#5",
      "subject": "InfiniteTalk 14B fp8 restore, transformers 4.52.0 on torch 2.4.1",
      "metric": "Launch outcome",
      "value": "Reaches pipeline initialization + quantized T5 load",
      "unit": null,
      "hardware": "RTX 4090D 24GB + RTX A4000 16GB dual-GPU workstation (Ubuntu 24.04, conda, Python 3.10)",
      "conditions": "Only version in the 4.49/4.51/4.52/4.57 sweep to pass every wall; full pins: torch 2.4.1, torchvision 0.19.1, xformers 0.0.28, flash-attn 2.8.3; final-run completion unrecorded (log ends 'Process still running')",
      "measured_on": "2026-02-19",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-torch-load-dependency-matrix#6",
      "subject": "InfiniteTalk 14B fp8 deepest pre-fix run (2026-02-19 15:02)",
      "metric": "Time-to-fail",
      "value": "277.5",
      "unit": "s",
      "hardware": "RTX 4090D 24GB + RTX A4000 16GB dual-GPU workstation (Ubuntu 24.04, conda, Python 3.10)",
      "conditions": "Died with missing quantized-weight keys audio_proj.proj1.output_scale / .weight._scale / .weight._data; cause never root-caused, did not recur in later launches",
      "measured_on": "2026-02-19",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-torch-load-dependency-matrix#7",
      "subject": "InfiniteTalk 14B fp8 full launch, pre-fix environment (2026-02-20 07:55)",
      "metric": "Time-to-fail",
      "value": "13",
      "unit": "s",
      "hardware": "RTX 4090D 24GB + RTX A4000 16GB dual-GPU workstation (Ubuntu 24.04, conda, Python 3.10)",
      "conditions": "07:55:24 start → 07:55:37 dead at wav2vec2 torch.load CVE gate; passed GPU init and split-GPU setup first",
      "measured_on": "2026-02-19",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-torch-load-dependency-matrix.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#1",
      "subject": "InfiniteTalk 14B fp8 (infinitetalk_single_fp8.safetensors) on Wan2.1-I2V-14B-480P",
      "metric": "Denoising step time (20-block semi-resident baseline)",
      "value": "218.5",
      "unit": "s/step",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "480P tier, streaming mode, sample_steps 15, motion_frame 9, TeaCache 0.15, fp8 quant, T5 on CPU, dual GPU (CUDA_VISIBLE_DEVICES=0,1); preserved engineering report from the measurement window",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#2",
      "subject": "InfiniteTalk 14B fp8 (infinitetalk_single_fp8.safetensors) on Wan2.1-I2V-14B-480P",
      "metric": "Denoising step time (24-block residency)",
      "value": "217.1",
      "unit": "s/step",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "+0.64% vs 20-block baseline for ~1.7GB more VRAM (A4000 10.21→11.99GB, 4090D 22.1→23.2GB); preserved engineering report",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#3",
      "subject": "InfiniteTalk 14B fp8 (infinitetalk_single_fp8.safetensors) on Wan2.1-I2V-14B-480P",
      "metric": "Generation time per 81-frame clip",
      "value": "49–54.6",
      "unit": "min",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "DERIVED: 15 steps × 218.5 s/step = 54.6 min; report's own stated figure ~49 min (unreconciled, both published); 81 frames ≈ 5.06 s at Wan2.1 480P 16 fps → ≈647× slower than realtime; fps not captured in logs",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#4",
      "subject": "InfiniteTalk 14B fp8 (infinitetalk_single_fp8.safetensors) on Wan2.1-I2V-14B-480P",
      "metric": "VRAM residency during generation — RTX 4090D",
      "value": "22.1",
      "unit": "GB",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "24GB card (~92%); semi-resident blocks 0-19 + pinned patch embedding; preserved engineering report",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#5",
      "subject": "InfiniteTalk 14B fp8 (infinitetalk_single_fp8.safetensors) on Wan2.1-I2V-14B-480P",
      "metric": "VRAM residency during generation — RTX A4000",
      "value": "10.21",
      "unit": "GB",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "16GB card (~64%); VAE encode + auxiliary compute, no FP8 support, no VAE tiling (run-log warning); preserved engineering report",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#6",
      "subject": "InfiniteTalk 14B fp8 (infinitetalk_single_fp8.safetensors) on Wan2.1-I2V-14B-480P",
      "metric": "System RAM usage during generation",
      "value": "23",
      "unit": "GB",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "503GB available; CPU-side blocks 20-39 streamed from system RAM; preserved engineering report",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#7",
      "subject": "InfiniteTalk 14B fp8 (infinitetalk_single_fp8.safetensors)",
      "metric": "Checkpoint file size",
      "value": "19,499,692,400",
      "unit": "bytes",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "Byte-exact from disk listing (≈18.2 GiB); fp8 single-person variant; int8 and multi variants each ≈19.5GB",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-26-infinitetalk-14b-dual-gpu-measured#8",
      "subject": "InfiniteTalk 14B fp8 on Wan2.1-I2V-14B-480P install",
      "metric": "Disk footprint — weights tree (measured, du)",
      "value": "241.8",
      "unit": "GB",
      "hardware": "RTX 4090D 24GB (main DiT) + RTX A4000 16GB (VAE/aux) · Xeon Gold 6258R · 503GB RAM · Ubuntu 24.04",
      "conditions": "2026-02-01, seven quantization variants on disk; minimum working set ≈104GB (19.5GB fp8 + 77GB Wan2.1 base + 6.7GB T5 fp8 + 1.5GB wav2vec2); whole project incl. env/caches recorded up to ~488GB",
      "measured_on": "2025-11-29",
      "category": "AI & Compute",
      "source": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-26-infinitetalk-14b-dual-gpu-measured.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-mac-mini-cpu-edge-deployment#1",
      "subject": "PatchCore inference, wood model (Mac mini, CPU)",
      "metric": "Processing time across the 3 recorded runs",
      "value": "0.176 / 0.158 / 0.156",
      "unit": "s",
      "hardware": "Mac mini (Apple Silicon, CPU inference; anomalib 2.0.0, torch 2.7.1) + Basler GigE camera via Aravis",
      "conditions": "processing_time fields in the 3 results JSONs; input 494x659 camera frame -> 256x256; anomalib 2.0.0, torch 2.7.1, env anomalib_new_env",
      "measured_on": "2025-11-20",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-mac-mini-cpu-edge-deployment#2",
      "subject": "Captures archive (~/anomalib_inference_local/captures)",
      "metric": "Files / capture groups in the 2025-11-20 session",
      "value": "210 / 70",
      "unit": null,
      "hardware": "Mac mini (Apple Silicon, CPU inference; anomalib 2.0.0, torch 2.7.1) + Basler GigE camera via Aravis",
      "conditions": "png+tiff+json triplets; session span 21:13-22:06 (~53 min)",
      "measured_on": "2025-11-20",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-mac-mini-cpu-edge-deployment#3",
      "subject": "Deployed model set (models/{wood,cable,screw}/v1.0)",
      "metric": "Lightning checkpoints deployed",
      "value": "3",
      "unit": null,
      "hardware": "Mac mini (Apple Silicon, CPU inference; anomalib 2.0.0, torch 2.7.1) + Basler GigE camera via Aravis",
      "conditions": "wood 255118891 B (2025-07-14); cable 240649771 B and screw 301051435 B byte-identical to workstation training outputs",
      "measured_on": "2025-11-20",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-mac-mini-cpu-edge-deployment#4",
      "subject": "cable checkpoint (cross-machine provenance)",
      "metric": "File size, Mac mini vs workstation",
      "value": "240649771",
      "unit": "bytes",
      "hardware": "Mac mini (Apple Silicon, CPU inference; anomalib 2.0.0, torch 2.7.1) + Basler GigE camera via Aravis",
      "conditions": "Exact match both machines; workstation md5 20f418d97822b4f271efb792a1c1ef69",
      "measured_on": "2025-11-20",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-mac-mini-cpu-edge-deployment#5",
      "subject": "screw checkpoint (cross-machine provenance)",
      "metric": "File size, Mac mini vs workstation",
      "value": "301051435",
      "unit": "bytes",
      "hardware": "Mac mini (Apple Silicon, CPU inference; anomalib 2.0.0, torch 2.7.1) + Basler GigE camera via Aravis",
      "conditions": "Exact match both machines; workstation md5 d2d88d71a085612a4d3426cf33e6510c",
      "measured_on": "2025-11-20",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-mac-mini-cpu-edge-deployment#6",
      "subject": "Basler camera via Aravis (camera_config.json)",
      "metric": "Exposure / resolution",
      "value": "10000 µs / 659x494",
      "unit": null,
      "hardware": "Mac mini (Apple Silicon, CPU inference; anomalib 2.0.0, torch 2.7.1) + Basler GigE camera via Aravis",
      "conditions": "Mono8, gain 1.0, free-run trigger, tiff+png+json output triplets",
      "measured_on": "2025-11-20",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-mac-mini-cpu-edge-deployment#7",
      "subject": "Decision configuration (models/{wood,cable,screw}/v1.0/config.yaml)",
      "metric": "Fixed threshold / min anomaly area, per model",
      "value": "0.6/0.55/0.3 and 50/30/20",
      "unit": null,
      "hardware": "Mac mini (Apple Silicon, CPU inference; anomalib 2.0.0, torch 2.7.1) + Basler GigE camera via Aravis",
      "conditions": "Per-category tuning documented in config comments; morphology 3x3/3x3/2x2; resize 256x256 bilinear, ImageNet normalization",
      "measured_on": "2025-11-20",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-mac-mini-cpu-edge-deployment.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#1",
      "subject": "MVTecAD dataset (workstation copy)",
      "metric": "Industrial scene categories prepared for training",
      "value": "15",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "Folder-format tree with train/good + test + ground_truth per category under ./data",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#2",
      "subject": "MVTecAD dataset (workstation copy)",
      "metric": "Disk footprint, archived copy under datasets/",
      "value": "4.8G",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "du -sh ~/anomalib/datasets/MVTecAD; extracted working copy under data/ is 5.0G",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#3",
      "subject": "Patchcore training artifacts (results/Patchcore)",
      "metric": "Disk footprint of training/inference results",
      "value": "804M",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "du -sh ~/anomalib/results/Patchcore; checkpoints + config.yaml + visualizations",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#4",
      "subject": "results/Patchcore/MVTecAD/bottle/v0 checkpoint",
      "metric": "model.ckpt file size",
      "value": "231212587",
      "unit": "bytes",
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "Per-scene coreset memory; resolved config.yaml preserved alongside",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#5",
      "subject": "results/Patchcore/MVTecAD/cable/v0 checkpoint",
      "metric": "model.ckpt file size",
      "value": "240649771",
      "unit": "bytes",
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "Different size per scene — coreset scales with the category's feature memory",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#6",
      "subject": "MVTecAD categories with trained checkpoints (after 2026-08-30 sweep)",
      "metric": "Categories complete",
      "value": "15",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "12 newly trained on the A4000 (pinned by UUID) + 3 November checkpoints read-only evaluated in place",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#7",
      "subject": "PatchCore image-AUROC across all 15 categories (2026-08-30)",
      "metric": "Mean / range",
      "value": "0.981 / 0.911-1.000",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "One-epoch defaults, no coreset or threshold tuning; pixel-AUROC brittle on 3 texture classes (0.439-0.632)",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#8",
      "subject": "Per-scene training time (2026-08-30 sweep, A4000)",
      "metric": "Range over 11 first-pass scenes",
      "value": "29-169",
      "unit": "s",
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "toothbrush fastest, carpet slowest; hazelnut retry at eval_batch_size 8 took 309 s after OOM at defaults",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#9",
      "subject": "Read-only evaluations of November checkpoints",
      "metric": "Eval time per scene",
      "value": "28-38",
      "unit": "s",
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "anomalib test on bottle/cable/screw v0 weights, untouched (Mac-deployment provenance preserved)",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#10",
      "subject": "Patchcore training artifacts (results/Patchcore/MVTecAD)",
      "metric": "Categories with model.ckpt on disk at publication",
      "value": "3",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "bottle, cable, screw — v0/weights/lightning/ each; batch sweep not carried to completion",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#11",
      "subject": "train_all_scenes.py",
      "metric": "Default training epochs per scene",
      "value": "1",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "CLI default; quick_start.sh full option uses 5",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#12",
      "subject": "train_all_scenes.py",
      "metric": "Default train/eval batch size",
      "value": "32",
      "unit": null,
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "Single GPU (--trainer.devices 1)",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#13",
      "subject": "MVTecAD per-scene normal training images",
      "metric": "Good-sample count, bottle / cable / screw / hazelnut",
      "value": "209 / 224 / 320 / 391",
      "unit": "images",
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "ls of data/<category>/train/good on the workstation; defect images exist only in test splits",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    },
    {
      "id": "2026-08-30-anomalib-industrial-defect-detection-field-guide#14",
      "subject": "RTX 4090D (training GPU, single-GPU runs)",
      "metric": "Total VRAM as reported by nvidia-smi",
      "value": "24564",
      "unit": "MiB",
      "hardware": "Workstation 2-GPU rig (RTX 4090D 24GB + RTX A4000 16GB) · conda anomalib_env · anomalib 2.1.0.dev0",
      "conditions": "--trainer.accelerator gpu --trainer.devices 1",
      "measured_on": "2025-11-19",
      "category": "Industrial AI",
      "source": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide/",
      "source_markdown": "https://sigpulse.com/posts/2026-08-30-anomalib-industrial-defect-detection-field-guide.md",
      "license": "CC BY 4.0 — cite the source URL"
    }
  ]
}