AutoScientist's two-agent checklist loop auto-audits every training example
sarahookr · x · 2026-10-09
A shared thread details AutoScientist's agentic checklist mechanism, which runs in an automated loop via two agents:
- Discovery Agent: investigates past AutoScientist experiments and generates modular requirements based on critiques.
- Verification Agent: applies a tailored checklist to each and every training example.
The design shows how human experiment-review workflows can be decomposed into an automated multi-agent loop for quality control in AI research.
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