Build AI Agents in 30 Minutes (Cursor, Codex, or Claude Code) - PROMPTED Ep 44

In this episode, we break down how to build a working AI agent in about 30 minutes using modern AI coding tools like Cursor, Codex, or Claude Code.Matthew Stein walks through a real, end-to-end example of building an agent from scratch. No fluff. No theory. Just a practical workflow you can follow and adapt to your own ideas.Resources & Links👉 Agent AI Build Kit (GitHub): https://github.com/Chefmattrock/agent-ai-build-with-cursor👉 Agent.ai Community (get help, share what you build): https://community.agent.ai/You will see how to go from a rough idea to a functional agent using a simple but powerful process:Define the problem and userGenerate a PRD (Product Requirements Doc)Use AI coding tools to build the agent logicDebug and refine outputsShip a working version fastThis is not just about Cursor. The same approach works across today’s AI coding tools and models. If you have ever wanted to build your own agents but did not know where to start, this episode gives you a repeatable system.This is best suited for intermediate users, but beginners can follow along by pairing this with your favorite LLM to guide setup and implementation.If you are in GTM, product, marketing, or operations, this is one of the fastest ways to start turning AI into real workflows.What You’ll LearnHow to build an AI agent from scratch in ~30 minutesWhy everything starts with a simple PRDHow to use AI coding tools to generate agent workflowsHow to debug and iterate when things breakHow to turn ideas into usable agents quicklyA repeatable framework you can apply to your own use casesBuilding AI agents is no longer slow or complex.If you can clearly define the problem, AI can help you build the solution faster than ever.Start simple. Ship fast. Improve from there.