Composable AI systems: interfaces, state and evidence
Design composable AI systems with interface contracts, explicit state, routing, failure isolation and composition evidence.
Useful composability requires input-output schemas, unambiguous responsibilities and a policy for every partial failure.
Assembling APIs and agents without contracts turns local errors into unpredictable system behavior.
A component enters the realization only when its role, authority and effects on other components are measured.
What the architecture must make explicit
The engineering object is the complete realization. A model is only one possible component among data, memory, routing, tools, rules, verifiers and runtime.
Move from a keyword to an inspectable engineering decision
Observe
Measure the baseline and bind every behavior to the exact realization that produced it.
Intervene
Test one change at a time to attribute gains and regressions.
Compose
Verify interfaces, shared state and interactions before promotion.
Qualify
Apply hard gates to the frozen realization within a declared 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 composable ai systems: interfaces, state and evidence require?
Useful composability requires input-output schemas, unambiguous responsibilities and a policy for every partial failure. The engineering object is the complete realization. A model is only one possible component among data, memory, routing, tools, rules, verifiers and runtime.
Which evidence should be retained?
At minimum: exact realization identity, inputs and outputs, protocol version, measurements, failure cases and the decision rule. A component enters the realization only when its role, authority and effects on other components are measured.
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.