A STRONG MODEL CANNOT SAVE A POORLY DESIGNED AGENT

An Agent can use a very strong model and still produce poor results if:

• the task is unclear;
• the Knowledge is messy;
• the Instruction is contradictory;
• the workflow is missing;
• the Tool is unsuitable;
• the output is not defined.

Conversely, a moderate model inside a well-designed Agent can handle stable jobs very effectively.

So when an Agent is not performing well, don’t immediately switch to a more expensive model.

Check first:

Model → Instruction → Knowledge → Data → Tools → Workflow

The error can be in any layer.