The authority gap

The authority boundary

On one side, a proposal. On the other, a real state change. DETERMA sits in the middle and revalidates the exact action at execution time — external to the agent and external to the model.

01

Proposal

02

DETERMA — Execution Authority

03

State change / external effect

Governed lifecycle

AI may propose. Authority decides. Constrained executors mutate. Evidence proves.

Evidence and validation are not authority.

  1. 01

    Proposal

  2. 02

    Validation

  3. 03

    WAITING_APPROVAL

  4. 04

    Human approval context

  5. 05

    Exact scope binding

  6. 06

    State Witness where required

  7. 07

    Fresh single-use Execution Release

  8. 08

    Constrained Executor

  9. 09

    Append-only audit

  10. 10

    Post-execution verification

What DETERMA is, and is not

  • DETERMA is execution-authority infrastructure.
  • It is not a generic agent framework.
  • It is not a direct-AI mutation system.
  • It is external to the agent and to the model it evaluates.

Authority invariants

  • Proposal and execution are separated.
  • Agents and workers hold no general mutation authority.
  • The orchestrator is not the executor.
  • WAITING_APPROVAL is a hard stop.
  • Human approval alone is insufficient.
  • An approval cannot be replayed after consumption.
  • Ambiguity, drift, replay, missing scope or audit failure block.

Failure model

Approval drift

The requested action is no longer the action that was approved.

Stale head / base metadata

The state the approval was bound to has moved.

Unresolved findings

Open findings contradict the requested effect.

Scope drift

Requested parameters exceed the reviewed bounds.

Replay

A consumed single-use release is presented again.

Missing readback

The effect cannot be confirmed after execution.

Missing post-change verification

No verified comparison of intended and actual effect.

Why existing controls are not enough

Each layer answers a different question.

Identity proves who.

DETERMA validates what may happen now.

Sandboxing controls where.

DETERMA controls authority.

Orchestration keeps work moving.

DETERMA decides whether it may continue.

Observability explains what happened.

DETERMA can block before the side effect.

Next step

Which action would you want AI to be able to perform safely?

Tell us the workflow and the action. We will tell you whether a bounded evaluation makes sense — and what evidence it would produce.