ai/watch
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How this page writes itself.

Orchestration is code. Only one model has a tool: the researcher can read pages, and code decides which ones. The one that reads the web cannot write anything; the one that writes never reads the web; only code publishes.

Figures from the run of 13 October 2026

  1. code
    Collect

    Reads feeds from a hand-kept allowlist. Drops what was already seen.

    39new items
  2. Haiku 5.5
    Triage

    Scores the items. Keeps the best six, or none.

    6topics studied
  3. Sonnet 5.5 × N
    Research

    One agent per topic, with a single tool: fetch_page. Allowlist, at most 3 pages and 6 turns, every call traced.

    19facts proposed
  4. code
    Gate 1

    Each quote must appear word for word in a page the agent actually read. Otherwise the fact is gone.

    19quotes found
  5. Sonnet 5.5
    Fact check

    Fresh context. Judges each fact against its quote, in both languages. A refused fact never reaches the writer.

    17facts validated2 refused
  6. Sonnet 5.5
    Writing

    Writes in French and English from validated facts only. Never sees the web.

  7. Sonnet 5.5
    Statement check

    Judges each written sentence against the facts it cites.

    8statements published
  8. code
    Gates 2

    Verifier threshold, volume, budget. One failure and nothing is published.

  9. code
    Publish

    Writes the files. The trace is published either way.

What this does not guarantee

The gates prove a sentence is sourced, not that the source is right. An allowlisted page that is wrong will be quoted faithfully. And an exact quote can be refused because the page changed in the meantime: the pipeline prefers a day without an edition to a doubtful one.

Verifier eval

10/10 trap cases judged correctly, last run 13 October 2026.

Last 1 runs

datestatusreadquotesrejectsdurationcost
13 October 2026published3919/192127 s0.48 $

What the pipeline refused to publish