Posts tagged #agents

A practical mental model for building tools and applications with LLMs. Treat agents less like APIs and more like motivated junior collaborators — give them context, constrain the problem, and design tight feedback loops. Lessons from working alongside an AI-native startup founder on real products.

Building multi-agent systems teaches the value of balancing complexity with efficiency. Simplicity, effective use of natural language, and clear examples are key to unlocking their full potential. This article shares practical lessons and highlights the role of natural language and examples in guiding agents effectively.