Phoenixon
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

T900 Evidence Check is a local-first verification and repair engine that eliminates silent AI hallucinations by ensuring prompt context contains the exact required evidence before submission. While standard context optimizers select passages blindly, T900 Evidence Check performs a pre-flight audit against the task using a strict JSON schema. It features: 1. Cryptographic SHA-256 Outbound Approval Gate: Inspect and approve exact payloads before network dispatch. 2. 4-Bucket Evidence Decomposition: Classifies facts into Supported, Missing Evidence, Conflicting, and Unanswerable (preventing fake timelines when evidence is absent). 3. 1-Click Deterministic Context Repair: Resolves gaps by pulling original source IDs rather than injecting ungrounded prose. 4. Live Side-by-Side Downstream Verification: Compares raw vs repaired context completions side-by-side. Evaluated across 13 benchmark scenarios, T900 achieves 92.3% recall and 100% precision on missing evidence, 100% contradiction recall, and 27.3% token savings with 98.1% fact preservation across 685 automated tests.