Field Notes: Knowledge Graphs and AI Agents
Notes from the Global Azure Bootcamp — API governance for AI workloads, the new shape of phishing, knowledge graphs as a context layer for LLMs, and why governance keeps showing up in every talk.
What I Learned Building Agents for Multi-Agent Systems
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.
How to Think About 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.