Every verdict. Auditable. Self-calibrating.

It answers two questions no data feed or foundation model can: why did the AI say this? and was it borne out? Every material verdict is recorded, hash-chained to the one before it, and reconciled against what actually happened.

• Tamper-evident, recompute the chain to prove nothing was altered, down to the exact entry
• Privacy by construction, who asked is a one-way hash, never raw identity
• Self-calibrating, outcomes reconcile back into a compounding calibration dataset
• Every answer makes it larger; every outcome makes it sharper