One Skill for World-Class Agent Research: Multi-Source Verification and Skeptic Voting
EXM7777 · x · 2026-09-26
A practical recipe for building a single-skill research pipeline for AI agents.
Tool layer: Parallel for search, full-page extraction and deep research with cited claims; last30days for what real people said in the past 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News and Polymarket; YouTube transcript extraction; x-search via Grok for real-time X; Firecrawl to bypass anti-bot walls.
Rules layer (the author argues this is the real work):
- Tool summaries are leads, not proof—evidence starts when the source page is fetched as full text
- A finding needs 3 independent sources or 1 primary source; single-account hype stays marked unconfirmed
- 3 skeptic agents attack every claim on correctness, recency and source quality; majority vote wins
- One sweep hunts only for counterarguments
- Everything is stored in a vault with expiry dates so the next run builds on owned knowledge
Key principle: your agent is only as good as the worst source it believed.
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