What to Inspect Before Changing an Agent's Model
Shashank Agarwal
Changing the model can be a useful experiment. It is easier to interpret when the team first checks whether the workflow supplied the information and operations required for success.
Quick answer: Inspect the task contract, available evidence, tool inputs and outputs, context assembly and evaluator setup before choosing a candidate model. Use a controlled comparison if the model remains a plausible cause. Preserve the original failure and report all configuration differences relevant to the result.
Check the evidence path
For an illustrative inventory assistant, a wrong answer may follow an empty lookup caused by a location mismatch. A more capable model cannot establish stock information that the workflow never supplied.
Inspect what the application passed to generation, not only what the source system contained.
Review the surrounding system
| Area | Useful question |
|---|---|
| Task | Is expected behavior explicit? |
| Retrieval | Did relevant evidence reach the decision? |
| Tools | Were arguments and response semantics correct? |
| Context | Were corrections or constraints omitted? |
| Evaluation | Did the grader receive the right fields? |
| Execution | Did the harness complete the intended test? |
A failure in one area does not rule out other weaknesses. It identifies a concrete issue to address or control in the next experiment.
Make the replacement test meaningful
If testing another model, hold appropriate fixtures and acceptance checks stable. Record provider settings and any adaptations required by the candidate.
Do not compare a repaired workflow on one model with a broken workflow on another and attribute the difference entirely to the model.
Choose the next change from evidence
A candidate might involve a filter, mapping function, clarification rule or model replacement. Each should have an observable expected effect.
These proposed checks do not imply that every problem is outside the model. They make the comparison more useful by establishing what the application actually asked each model to do.
I'm Shashank Agarwal, founder and CEO of Noveum AI and creator of API.market. These are proposed engineering methods and illustrative fixtures, not measured customer results.
Use the tool-boundary guide for operation evidence and the regression-test guide for controlled verification.
Follow my work on LinkedIn. Drafted with AI assistance.
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