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.

👉 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 user
• Generate a PRD (Product Requirements Doc)
• Use AI coding tools to build the agent logic
• Debug and refine outputs
• Ship a working version fast

This 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.

• How to build an AI agent from scratch in ~30 minutes
• Why everything starts with a simple PRD
• How to use AI coding tools to generate agent workflows
• How to debug and iterate when things break
• How to turn ideas into usable agents quickly
• A repeatable framework you can apply to your own use cases

Building 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.