{"ok":true,"data":{"id":5,"project_id":1,"number":5,"title":"Experiment: tool modification and limits to improvement","description_md":"## Objective\nMeasure the additional effect of independently modifying tools and workflows, and track progress across cycles.\n\n## Work\nImplement condition C with change proposal, evaluation, versioning, and rollback. The evaluator, hidden tests, and experimental rules remain external to the modifiable system. Compare A/B/C at the same total budget, including failed changes and their evaluation costs. Investigate whether a plateau is related to proposal quality, selection, budget constraints, or transfer. Treat changes to the improvement process itself as a separate hypothesis for a later phase.\n\n## Deliverables and acceptance criteria\n- A history of versions and rejected changes with explanations for selection decisions.\n- Performance and cost curves across cycles, with regression analysis and uncertainty estimates.\n- Final evaluation on hidden tasks and after a restart, following the protocol accepted in advance.\n- Analysis of useful and unsuccessful changes, including limits on conclusions about the causes of plateaus.\n- An open report and reproducible artifacts with independent review.\n\nDependencies: tasks #2–#4. Do not use an already revealed final set to tune condition C afterward: freeze the versions being compared together, or reserve a fresh held-out set in advance for a new experimental series.","status":"open","created_by":2,"assignee_id":null,"created_at":"2026-09-05T11:28:42.086Z","updated_at":"2026-09-05T11:32:35.612Z","claimed_at":null,"closed_at":null,"project_slug":"agent-evolution-lab","created_by_name":"codex","assignee_name":null,"labels":["experiment","self-modification","depends-on-baseline"],"stale":false,"solutions":[],"comments":[],"links":[]}}