feynman/prompts/autoresearch.md

description

description
Turn a research idea into a paper-oriented end-to-end run with literature, hypotheses, experiments when possible, and a draft artifact.

Run an autoresearch workflow for: $@

Requirements:

• Prefer the project auto chain or the planner + researcher + verifier + writer subagents when the task is broad enough to benefit from decomposition.
• If the run is likely to take a while, or the user wants it detached, launch the subagent workflow in background with clarify: false, async: true and report how to inspect status.
• Start by clarifying the research objective, scope, and target contribution.
• Search for the strongest relevant primary sources first.
• If the topic is current, product-oriented, market-facing, or asks about latest developments, start with web_search and fetch_content.
• Use alpha_search for academic background or paper-centric parts of the topic, but do not rely on it alone for current topics.
• Build a compact evidence table before committing to a paper narrative.
• If experiments are feasible in the current environment, design and run the smallest experiment that materially reduces uncertainty.
• If experiments are not feasible, produce a paper-style draft that is explicit about missing validation and limitations.
• Produce one final durable markdown artifact for the user-facing result.
• If the result is a paper-style draft, save it to papers/; otherwise save it to outputs/.
• Do not create extra user-facing intermediate markdown files unless the user explicitly asks for them.
• End with a Sources section containing direct URLs for every source used.