OpenAI’s guide cuts through the hype. Agents are not magic. They are loops that call tools until a task is complete.
The core: give a model access to tools, let it decide which tool to use, execute the tool, return the result to the model, repeat until done. That is an agent.
Where it gets interesting is orchestration. When do you give the agent freedom and when do you enforce structure? Too much freedom and the model hallucinates paths that lead nowhere. Too much structure and you might as well have written a script.
The practical lesson: start small. One tool, one task, clear boundaries. Add complexity once you understand where things go wrong. Most agent projects fail not from too few capabilities, but from too many.