AI EXECUTION

AI can decide what to do.
It should not decide what happened.

When agents mutate real systems, model confidence is not execution truth.

AGENT
action intent →
TRUTH ENGINE
→ governed execution
PROVIDER
evidence ↩
SATISFIED · NOT_SATISFIED · UNKNOWN

WHY THIS MATTERS

Agents act faster than humans. Ambiguity still exists.

01Agents retry quickly

A lost response can look like failure even when the action happened.

02Providers are external

Acknowledgement, timeout and final occurrence are different facts.

03Models infer

Inference is useful for intent. It is not authority for external reality.

EXAMPLE · REFUND

The dangerous moment is after the request leaves the agent.

AgentRefund customer
↓
ProviderRefund may execute
↓
NetworkResponse lost
↓
Truth EngineUNKNOWN
↓
Truth EngineReconcile evidence
↓
OutcomeSATISFIED / NOT_SATISFIED / UNKNOWN
The agent may request.Truth Engine governs execution authority and outcome truth.

ROLE SEPARATION

Agent intelligence and execution truth are different jobs.

AI / AGENTIntentReason · plan · choose · request
≠
TRUTH ENGINEAuthority + truthGovern · execute · observe · reconcile · justify outcome

WHERE IT APPLIES

Any agent action with a consequential external effect.

Issue refundCreate orderBook resourceProvision accountChange accessTrigger transaction

Truth Engine is not an agent framework or planner. AI agents are a client class. Current external evaluation is developer-controlled; production agent-framework adapters are not claimed yet.

EVALUATE THE BOUNDARY

See what happens when execution becomes uncertain.

Developer evaluation →Compare approaches