---
name: principle-outcome-oriented-execution
description: "Apply during planned rewrites and migrations with explicit phase boundaries. Converge on the target architecture; don't preserve smooth intermediate states with throwaway compatibility code."
disable-model-invocation: true
---
## OpenAI runtime contract

Read [the adapter contract](../../references/runtime-contract.md) before this workflow. It maps provider selection, agent calls, loops, persistent state, history, verification, and authorization. That contract supersedes Cursor-specific execution syntax and unverified model fallbacks below; the engineering steps remain required. Use native tools in the current host by default. Cloud uses its available OpenAI models. No remote laptop connection, server URL or MCP setup is permitted. Optional local CLI adapters require explicit environment-local selection. Do not claim cross-provider diversity for OpenAI-only review.


# Outcome-Oriented Execution

Optimize for the intended, verifiable end state rather than preserving smooth intermediate states.

**Why:** Keeping every intermediate step fully stable often creates temporary compatibility code that becomes long-lived debt. Converge on the target architecture and prove correctness at explicit verification boundaries.

**Core rule:**
- Prioritize end-state integrity over transitional stability
- Intermediate breakage is acceptable when it is planned, scoped, and reversible

**Guardrails:**
- Use this for planned rewrites and migrations with explicit phase boundaries
- Declare where temporary breakage is acceptable
- Keep high-signal checks for actively touched areas while migrating
- Require full static and runtime verification at plan completion