Opus 5.5 does the work, Grok Bot fact-checks: a 300-agent pipeline
A video shows 300 parallel agents extracting company data with Opus 5.5, while a cheap Grok Bot checks each claim against sources, cutting errors to zero over three passes.
OPUS 5.5 + GROK BOT = A REVERSE ENGINEERING MACHINE THAT FACT-CHECKS ITSELF. 300 AGENTS. 51,320 CLAIMS. 0 ERRORS LEFT how it works (the board shows the architecture): → 300 agents run in parallel, each taking one company apart from its filings → Opus 5.5 does the heavy lifting: it pulls out revenue, HQ, CEO and founding year → A cheap Grok bot checks every claim against the source page, in about 100 ms each → If a claim fails, it's thrown out and redone. No "looks right." Only "the source says so." → 3 passes over 100 profiles: 212 errors, then 37, then 0 the lesson: don't let one model grade its own homework. expensive model for the work. Dirt-cheap model for checking. Loop until clean. every dot on the ribbon is one claim. the white sparks are the ones that got caught. I'm breaking down more agent setups like this one, so stick around if that's your thing. And show it to the friend who still trusts single-shot AI answers. would you trust a cheap model to check an expensive one?
This post quotes another post: x.com/tekari0/status/2111765959342195160