AI Mission Contract: freeze the objective before technology
Define objective, constraints, prohibitions, budget, evidence sets, hard gates and stopping rules before experimentation.
The Mission Contract turns a vague need into a testable problem without assuming the final model or architecture.
Without a frozen rule, criteria move after results are observed and candidate selection becomes indefensible.
The contract must permit success, refusal, inconclusive outcomes and budget exhaustion.
What the architecture must make explicit
Claims should terminate in inspectable evidence. Identity, provenance, measurement, adjudication, qualification and authority remain distinct dimensions.
Move from a keyword to an inspectable engineering decision
Identify
Compute the identity of the computation, artifacts and policies composing the realization.
Bind
Attach every measurement to the output actually produced by that exact subject.
Interpret
Separate observation, hypothesis, experimental support and terminal verdict.
Publish
Open useful projections without exposing protected data or widening claim scope.
A claim is only as strong as its binding
The gate must evaluate the exact output produced by the exact realization. Integrity, scientific validity and authority are related, but never interchangeable.
Questions that change the design
What does ai mission contract: freeze the objective before technology require?
The Mission Contract turns a vague need into a testable problem without assuming the final model or architecture. Claims should terminate in inspectable evidence. Identity, provenance, measurement, adjudication, qualification and authority remain distinct dimensions.
Which evidence should be retained?
At minimum: exact realization identity, inputs and outputs, protocol version, measurements, failure cases and the decision rule. The contract must permit success, refusal, inconclusive outcomes and budget exhaustion.
Does AMF prescribe a particular model?
No. AMF treats the model, runtime, data, tools and deterministic components as candidate materials. Their retention depends on measured contribution and declared constraints.