A practical guide to building AI agents that focuses on manual prototyping first, then automating the workflow with structured code. The approach emphasizes using traditional programming for deterministic tasks while leveraging LLMs only for judgment-based decisions. Key steps include simulating the agent manually with real inputs, building automation loops with plain code, and optimizing for reliability through iterative testing and evaluation.
Table of contents
Step 1: Prototype the agent by handStep 2: Automate the loopStep 3: Optimize for reliabilityTakeawaysSort: