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Industry Research Framework
Source-backed research protocol for AI agents
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.
Hi Product Hunt - I built Industry Research Framework because long AI research tasks fail in repeatable ways: agents start before scope is clear, mix facts with judgment, leak process notes, or declare victory after a thin draft.
This is a lightweight, open-source protocol for Codex, Claude, Gemini CLI, Cursor, OpenClaw, Hermes, and other agents. It gives the agent a brief gate, state files, source/claim/uncertainty registries, staged drafting, review loops, and hard stops for empty collection, evidence drift, false completion, depth collapse, and process leakage.
It also ships eval cases, a source pack, rubric, gotchas, taste anchors, and regression fixtures so changes can be checked. I would love feedback from people using agents for market maps, investment memos, competitive analysis, or research writing: where should the protocol be stricter, lighter, or easier to adopt?
About Industry Research Framework on Product Hunt
“Source-backed research protocol for AI agents”
Industry Research Framework was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #15 on the daily leaderboard. 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.
On the analytics side, Industry Research Framework competes within Productivity, Writing, Artificial Intelligence and GitHub — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Industry Research Framework performed against the three products that launched closest to it on the same day.
Who hunted Industry Research Framework?
Industry Research Framework was hunted by Song Luo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Industry Research Framework including community comment highlights and product details, visit the product overview.
Song Luo