LAB 001
TestingModelPilot
A public beta that turns one pasted Codex task into a recommended model and reasoning effort.
- Problem
- Users often do not know which Codex model and reasoning effort fit a task.
- Current hypothesis
- A single-paste transparent recommendation is useful enough to validate before building an automatic router.
- Next decision
- Measure whether real users follow the recommendation and come back to use the tool again.
01Task entry
02Task context
03Candidate recommendation
04Human decision
A research map for testing a lower-friction choice at task entry: Task entry → Task context → Candidate recommendation → Human decision