Industry Research Framework

What it does

Open-source protocol for AI agents doing longform industry research: brief gates, state files, source/claim discipline, staged drafting, review loops, hard stops, gotchas, and offline evals with regression fixtures.

An open-source protocol for source-backed longform industry research by AI agents.

An open-source ResearchOps protocol for AI agents doing longform industry research. It defines stage gates, evidence registries, delivery integrity, and offline conformance checks while keeping semantic research quality as a separate human judgment. Start from the authoritative skill file, then load references only when the task needs them. Use SKILL.md first. Run research scope calibration, confirm output, reader, depth, evidence standard, and coverage, then create state, logs, and data files before broad source collection. Load references conditionally: workflow for setup or recovery, analysis lenses for method choice, subagent guidance before delegation, gotchas for drift diagnosis,…from rrrrrredy.github.io

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