Use evidence from the first attempt to justify escalation or simplification.
The decision behind the technique
A lightweight model can be ideal for mechanical edits but costly when it repeatedly misses an architectural constraint. A top-tier model can be wasteful for formatting and routine tests.
Use evidence from the first attempt to justify escalation or simplification.
A practical step-by-step workflow
Use this sequence as a default, then tighten or expand it only when the evidence changes.
- Label the task routine, ambiguous, cross-system or safety-critical
- Start routine work on a balanced model
- Escalate after a concrete reasoning failure
- Use a lighter model for mechanical cleanup
Failure boundary and finish line
Switching models does not reset the shared allowance.
Finish when the plan fits both visible windows and preserves enough capacity to verify the work.
Frequently asked questions
What should I do first?+
Label the task routine, ambiguous, cross-system or safety-critical
What is the main failure mode?+
Switching models does not reset the shared allowance.
OFFICIAL SOURCES
Verify against the source
OpenAI Codex pricing and usageOpenAI Codex best practicesThis guide provides general information, not an OpenAI allowance promise or support decision. Your account and official pages govern actual usage, benefits and recovery times.