When I first started learning about AI agents, I had a very simple mental model.
User → LLM → Response
Ask a question
Get an answer
Then I started building AI applications. That's when I realized something.
When I first started learning about AI agents, I had a very simple mental model. User → LLM →...
When I first started learning about AI agents, I had a very simple mental model.
User → LLM → Response
Ask a question
Get an answer
Then I started building AI applications. That's when I realized something.

A practical explainer on the agent loop, how it works, why it is different from a chatbot, and where human-in-the-loop controls…

A chatbot answers in one shot. An AI agent runs in a loop, uses tools, and acts — Thought → Action →...

If you have built an AI agent recently, chances are your codebase started with a simple, elegant...

Everything you have built so far is reactive. User sends a message. System processes it. System...

State, stopping, and context — three engineering problems hiding inside five simple words.

"Agent" might be the most overloaded word in AI right now. Half the tutorials make it sound like...