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Agent intelligence comes down to which model you choose and how long you let it think. Gemini 2.5 Flash is fast and cheap. Larger models like Gemini 2.5 Pro or Claude 4.5 Sonnet handle nuance better but introduce latency and burn through your API budget.
Agent intelligence
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Modern APIs allow you to adjust the 'reasoning effort'. This gives the model more mental scratch space to generate hidden tokens and explore different logical avenues before outputting a final tool call.
More reasoning steps improve accuracy on complex booth calculations but destroy your response time. Start with a small, fast model to stabilize your tool schemas. Once the workflow is reliable, swap in a larger model or increase the reasoning effort to handle edge cases.
Fine-tuning is a later step. Do not fine-tune a model until your base agent architecture and evaluation pipelines are fully stable.
Finish the lesson once you have worked through the material. This awards ★ 30 XP.