DGHT

Proof note / Earned autonomy

AI agents that earn autonomy

Autonomy is earned through evidence.

The operating lesson

The useful question is not whether an agent can perform a task once. It is whether the workflow has a clear trigger, controlled authority, reliable memory and a verifier strong enough to trust the result repeatedly.

Define the job

Every agent starts with a trigger, one owner, allowed actions and an explicit stop condition. Ambiguity belongs in design, not production.

Make verification native

The workflow records what it used, what it changed and whether the intended outcome happened. A completion claim needs a receipt.

Graduate authority

Start with assisted work, measure the result and widen autonomy only where the evidence supports it.

Bring us the real problem

The useful conversation starts before the perfect brief.

Start the conversation