Refine research workflows and remove Agent Computer

This commit is contained in:
Advait Paliwal
2026-03-24 11:01:27 -07:00
parent b712f89580
commit 8fd06b9299
23 changed files with 137 additions and 299 deletions

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@@ -9,9 +9,10 @@ Review this AI research artifact: $@
Derive a short slug from the artifact name (lowercase, hyphens, no filler words, ≤5 words). Use this slug for all files in this run.
Requirements:
- Before starting, outline what will be reviewed and the review criteria (novelty, empirical rigor, baselines, reproducibility, etc.). Present the plan to the user and confirm before proceeding.
- Before starting, outline what will be reviewed, the review criteria (novelty, empirical rigor, baselines, reproducibility, etc.), and any verification-specific checks needed for claims, figures, and reported metrics. Present the plan to the user and confirm before proceeding.
- Spawn a `researcher` subagent to gather evidence on the artifact — inspect the paper, code, cited work, and any linked experimental artifacts. Save to `<slug>-research.md`.
- Spawn a `reviewer` subagent with `<slug>-research.md` to produce the final peer review with inline annotations.
- For small or simple artifacts where evidence gathering is overkill, run the `reviewer` subagent directly instead.
- If the first review finds FATAL issues and you fix them, run one more verification-style review pass before delivering.
- Save exactly one review artifact to `outputs/<slug>-review.md`.
- End with a `Sources` section containing direct URLs for every inspected external source.