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How to Quickly Understand and Improve AI Agent Design

Coding with agents really has surfaced a bunch of problems and challenges we never ran into when writing code by hand. Agents work even faster than you'd expect.

  • AI agents work faster than anticipated, presenting both advantages and challenges.
  • Preliminary design testing by humans can streamline AI-human collaboration.
  • Difficulty in grasping AI's intricate design details requires new communication methods.

Where the money actually goes when you generate at scale

After a few months of running generation through an agent, the surprising thing wasn't the cost per call. It was how much of the spend went to work I didn't need to do.

  • Utilize cheaper model tiers for initial decision-making
  • Implement local tools for tasks not requiring the model
  • Pilot each batch of generation to estimate costs and identify issues

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