When an engineer lost his PM and inherited the chaos — fragmented backlogs, midnight JIRA grooming, standups that consumed every morning — he didn't wait for a replacement. He built one.
*AI Project Management* is the story of how an engineer used OpenClaw to create an AI-powered project manager that integrates with JIRA and Slack, and the practical guide for anyone who wants to do the same. It covers the full arc: from the pain of managing a team without PM support, through evaluating AI agent frameworks, to building, failing, iterating, and eventually shipping a production-grade AI PM that a real team relies on every day.
This isn't a theoretical book about what AI could do for project management. It's a field-tested account of what actually works — the patterns worth adopting, the anti-patterns worth avoiding, and the evaluation frameworks that separate "it feels like it's helping" from measurable improvement. Each chapter pairs the author's firsthand experience with actionable technical guidance: setting up OpenClaw, connecting integrations, designing agent workflows, debugging failures, and hardening the system for production.
Whether you're a tech lead absorbing PM duties, a project manager drowning in operational busywork, a startup founder running without a dedicated PM, or an engineering manager exploring AI-assisted workflows, this book gives you a repeatable path from zero to a functioning AI project manager — and the judgment to know what to automate, what to augment, and what to leave to humans.
