Best for
- Keeping AI costs under control
- Routing simple work to a small model and hard work to a large one
- Teams running several sessions at once
What you give it
- The task or change record
What you get back
- The recommended model with a one-line reason
- A same/different verdict against your current model
- The command to open a session on the right model
How it works
- Judges files touched, ambiguity, reasoning depth, risk and reversibility.
- Maps the task to the tier table below.
- Compares with the session's model and states the verdict.
- Never switches models by itself.
Example
You: /model-recommend rename a label in 14 files
Result: Haiku — mechanical, well-specified, reversible. This session is Opus: recommended cheaper model differs. Open a new session on the Haiku-tier model, or say "continue here".
Limits — please read
- A rule of thumb, not a benchmark.
- Model names and IDs change: update the table when they do.