🤖 New: AI Agent Crash Course — Presale €49View Course
Artificial IntelligenceBusinessAutomation🇩🇪 Deutsch

I Programmed a Complete Software Project – While Working Out on the Treadmill for 40 Minutes

Jan Koch
Jan Koch
KI Experte & Berater
3 min

It was 5 in the morning. Me at the gym. Not to work out – but because I had an idea I didn't want to forget.

So I gave my AI agent a prompt. A detailed prompt. Then I got on the treadmill.

40 minutes later: A complete MVP. Forms, tests, API integrations, unit tests, end-to-end tests. All done.

I didn't do anything. Just worked out.

What Happened

I was at the gym. In the changing room, I gave my AI agent a detailed prompt:

  • A platform I wanted to develop
  • All requirements
  • Technical details
  • Test requirements

Then: Treadmill. Sprint training for my ultramarathon in August.

During those 40 minutes, the agent sent me messages via Telegram:

  • Progress reports
  • Questions that needed clarification
  • Confirmations

When I came out of the changing room, the MVP was done.

What the Agent Did

In those 40 minutes, the AI agent programmed the following:

  • All forms with validation
  • Integration tests for all APIs
  • Unit tests
  • End-to-end tests
  • Setup for secure port in internal network

I didn't touch anything. Just wrote the initial prompt.

That's the Difference

Normally it would go like this:

  1. I write specification
  2. I program code
  3. I write tests
  4. I set up deployment
  5. I check everything

That's hours. Days. Sometimes weeks.

For this project: 40 minutes. While I worked out.

How It Works

The secret is not a single AI agent. It's orchestration.

I use OpenClaw – a tool that coordinates various AI agents. Each agent has its task:

  • One agent for code generation
  • One agent for tests
  • One agent for deployment
  • One agent for communication (who reports to me on Telegram)

They work together. Coordinate. Follow deterministic processes.

What I Learned

The most important thing: You need good processes.

The AI agent can only work as well as you tell it how to work. That means:

  • Clear requirements
  • Deterministic workflows
  • Test frameworks
  • Code standards

When these processes are in place, the agent can work autonomously.

What This Means for You

You don't need a software company to use this. You just need:

  1. A clear use case
  2. Good processes
  3. The right tools

What I show in my AI Agent Crash Course is exactly this: How you build these systems. How you define processes. How you orchestrate agents.

Because it's not about having an agent. It's about having a system that works.

The Result

In 40 minutes of training, I completed a project that used to take me a whole day.

That's not magic. That's system. That's process. That's the future of software development.

And you can learn it too.

→ AI Agent Crash Course – €49 (Early Bird)

The question isn't whether you use AI agents. The question is whether you're at the front.

I've made my choice.

— Jan

🚀 Want to build your own AI Agent?

In 90 minutes, learn exactly how I built my AI agent team that handles 50,000 tasks per week.

🎟️ Get the Course — €49

Early Bird ends February 23 — then €67

Tags

AI AgentsAutomationSoftware DevelopmentClaude CodeOpenClawMVP

About the Author

Jan Koch

Jan Koch

KI Experte, Berater und Entwickler. Ich helfe Unternehmern und Entwicklern, KI effektiv einzusetzen - von der Strategie bis zur Implementierung.

Every Tuesday

AI Made Simple

Get a short email every Tuesday with relevant AI examples for entrepreneurs, practical tips, and future insights.

1,000+ subscribers • No spam • Unsubscribe anytime