Meta Cognition - Review AI decisions, evidence, outcomes and saved lessons
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Review AI automation decisions, evidence, outcomes and saved lessons. Recorded synthetic-data demo: four provider-backed review stages, approval before outcome entry and memory supplied to a second review. Early access; setup agreed before payment. No customer ROI or autonomous-repair claim.
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I built Meta Cognition to make AI automation decisions easier to review. This recorded walkthrough shows four provider-backed review stages, an approval check, a saved outcome and lesson, and that outcome supplied to a second review. The inputs and local job fixture were synthetic. It does not demonstrate autonomous repairs, customer ROI or hosted customer readiness. I welcome feedback from teams operating multiple AI workflows: what decision evidence would help you investigate an exception?