AI Ada
“The model has read the repository spiritually.”
Can AI understand a generated contract?
Elevator answer
Yes. An assistant can inspect the step types, mappings, connector operations, and generated metadata instead of guessing from the nearest client call. Humans still decide what the boundary means.
3 coffee-machine misconceptions
AI Ada
“A longer prompt is a type system.”
Codegen Carl
“Generated code reviews itself.”
The real explanation
Without evidence, an assistant copies the pattern three files away—even if that file is the historical mistake. A typed flow can show that RiskRequest maps to a declared connector operation and returns RiskObservation; compiler diagnostics can reject the wrong shortcut. This narrows the assistant's guessing. It does not outsource the decision that Risk is an external observation.
It is not authority. A machine-readable contract can say which connector is declared or which mapper fits; it cannot decide whether a business boundary is wise, whether a new side effect is acceptable, or whether a migration preserves a customer promise. Humans still own that judgment.
The trade-off is useful constraint instead of unrestricted generation. That is a feature when the assistant is changing code that crosses real operational boundaries.
Trade-offs
TPF gains inspectable constraints for tools. It gives up the fantasy that AI can safely infer every rule.
When TPF is not a good fit
If a team expects AI to replace architectural review, no framework metadata will make that safe.