TL;DR. Most teams quit on AI agents early because the output is rough at the start, before the agent has been corrected enough times to learn the job. Onboarding an AI agent is closer to managing a new hire than configuring a tool, and the loop is what does the work. These are the seven rules that get you there. What an AI agent actually is The OpenAI Agents SDK guide defines agents as "applications that plan, call tools, collaborate across specialists, and keep enough state to complete multi-step work." An agent has a job, has tools, and runs through a loop until it's done. I've been running my Pazi agents for a couple of months now and almost every early failure I've watched, mine and from teams I talk to, had nothing to do with the model. They were onboarding failures. Here are the seven rules I'd give anyone bringing on their first agents. Why most AI agent rollouts fail before they're trained Most rollouts fail because you treat the agent like a tool that arrived broken.…