Beyond explainable AI
Explainable AI (XAI) often means post-hoc summaries: “the model chose X because Y.” That prose is not evidence. Verifiable cognition requires structured, immutable commitments at each stage:- Observation snapshot — balances, gas, market inputs at decision time.
- Reasoning trace — hashed plan + optional 0G blob.
- Policy proof — predicate results evaluated outside the model.
- Settlement proof — tx hash, block, and
[DecisionLogged](/glossary#decisionlogged-event)event.
The four pillars in AMEO
Empty states are honest — if 0G is not configured, the UI says so instead of showing a placeholder hash.

