A step-by-step guide to building a working AI agent in Python using the OpenAI API, covering tool calling, the agent loop, and the failure modes that break first attempts.

Agent loops fail in recognizable ways. This walkthrough covers a real ReAct-style agent that stalls, the instrumentation that exposes why, and the patches that fix it.

Most sales teams treat AI prompting like a search bar. Here is the difference between a prompt that produces a generic template and one that produces a message a prospect will answer.

Most educators either treat AI as a magic box or a broken toy. The real difference is in how you structure your system prompts. Here's the exact approach for building educational tools that work.

Long-term memory for AI agents is not a single feature — it's a set of architectural tradeoffs. Here are the five dominant designs, ranked by real-world viability.

Prompting an autonomous agent is not the same problem as prompting a chatbot. Here are the five techniques that matter most, ranked by how much they actually change agent behavior in production.