Idea #5, that tool calling is the model asking your code to act rather than acting itself, is the one beginners miss most, and framing the agent as a loop your code owns the limits of is exactly right. The 'fluently wrong' label for a text predictor is going to save someone a week. For the next post, do you plan to show where that loop breaks in practice, like a tool call the model asks for with arguments that do not validate?
Yes, and you've named the exact case. Next up is Day 01, the 40-line loop. Day 06 hand-rolls tool calling and breaks it on purpose: a tool name the model invented, arguments cut off mid-JSON, a parameter that doesn't exist. None of them crash the loop. Each one goes back to the model as the tool's result, an error message listing what's valid, so it can correct itself on the next turn.
Day 04 covers the same idea for the final answer: a strict schema instead of parsing prose. And glad "fluently wrong" landed. It's the one idea I'd want a beginner to keep.
Kartik N V J K
AI Developer | Making AI reliable, trustworthy & accessible to everyone | Active community contributor
Idea #5, that tool calling is the model asking your code to act rather than acting itself, is the one beginners miss most, and framing the agent as a loop your code owns the limits of is exactly right. The 'fluently wrong' label for a text predictor is going to save someone a week. For the next post, do you plan to show where that loop breaks in practice, like a tool call the model asks for with arguments that do not validate?