Why generic app specs collapse during coding
Many AI spec generators stop at screens and features. That can be useful for exploration, but it leaves the hard questions open: who owns a record, what can change state, what must remain true, and which feature is intentionally deferred. Those gaps are where an AI-built app starts drifting.
What an implementation authority needs to contain
A useful AI app spec gives the builder and coding agent the same operating picture before implementation begins.
- Confirmed product purpose, users, roles, and protected promise
- Core records, state changes, ownership, and authority rules
- Scope boundary, deferred lanes, and critical acceptance conditions
- Technical modules, interfaces, write paths, validation, and recovery behavior
- AI-directed development instructions for investigating and executing safely
The builder stays in charge of product decisions
Driftbreak does not replace the builder with an automatic product manager. It exposes unresolved choices, explains the consequence of each path, and records the builder-confirmed direction. That is what makes the resulting specification usable by an agent without treating the agent as the product authority.
Four files, one connected handoff
The package includes an AI-Directed Development operating guide, recovered app architecture, builder-ready technical blueprint, and adaptive AI implementation sessions. Each file owns a different kind of truth so the package does not become one long generic document.