Two weeks of consistent personal observations are more useful than a universal prompt-count estimate.
The decision behind the technique
The same percentage can support very different amounts of work because models and tasks differ. A simple local log makes planning specific to your workload.
Two weeks of consistent personal observations are more useful than a universal prompt-count estimate.
A practical step-by-step workflow
Use this sequence as a default, then tighten or expand it only when the evidence changes.
- Record remaining short and weekly capacity at a fixed daily time
- Note the model and the day’s largest tasks
- Record each reset timestamp exactly
- Review median daily burn after two complete weeks
Failure boundary and finish line
Store only percentages and task categories; do not copy authentication data into the tracker.
Finish when the tool has a narrow purpose, a trustworthy source and a clear fallback.
Frequently asked questions
What should I do first?+
Record remaining short and weekly capacity at a fixed daily time
What is the main failure mode?+
Store only percentages and task categories; do not copy authentication data into the tracker.
OFFICIAL SOURCES
Verify against the source
OpenAI Codex pricing and usageThis guide provides general information, not an OpenAI allowance promise or support decision. Your account and official pages govern actual usage, benefits and recovery times.