Tom Kriebernegg
From a builder with 20 years experience in digital & AI

Master OpenClaw.
Build AI agents that do
real work for you.

The fastest path from zero to running your own AI agent system. Learn how to build a real setup that will run for you 24/7.

52
Lessons
Lifetime access
3,5h
Total duration

One-time payment • Lifetime access • 30-day money-back guarantee

You've watched the tutorials.
So why do your agents still not work?

You've seen the demos and read the docs — but when it's time to build something that actually runs autonomously and delivers results, everything breaks.

😵

Overwhelmed by options

AutoGPT, CrewAI, LangChain, OpenClaw... which one? And how do they fit together?

🔄

Stuck in tutorial hell

Another walkthrough video, another abandoned project. Theory doesn't translate to production.

💸

Burning money on API calls

Your experiments are eating through tokens with nothing to show for it.

The foundation

What is OpenClaw?

OpenClaw is the operating system for AI agents. It manages memory, coordination, tools, and multi-agent orchestration — so you can focus on building agents that actually produce outcomes.

Persistent memory

Your agents remember context across sessions. No more starting from scratch every conversation.

Multi-agent orchestration

Coordinate multiple specialized agents working together. A main brain delegating to worker brains.

Tool integration

Connect to APIs, databases, browsers, and external services. Your agents can actually do things.

This course teaches OpenClaw from zero to production. You'll understand not just how to use it, but how to think about building agent systems — skills that transfer to any framework.

The transformation

From tutorial watcher to
AI system architect

In 3.5 focused hours, you'll build a complete multi-agent system from scratch. Not just understand the concepts — but have working code running on your machine.

Before this course
  • Confused by agent frameworks
  • Building one-off scripts that break
  • No idea how to structure memory
  • Agents that forget everything
  • Burning money on wasteful API calls
After this course
  • Clear mental model of agentic systems
  • A working multi-agent system running 24/7
  • Memory architecture that actually works
  • Cost-optimized model selection
  • Confidence to build anything you imagine
Tom Kriebernegg
Working with AI agents daily
Serial entrepreneur
Featured on Product Hunt
Featured in Forbes
Your instructor

Hi, I'm Tom Kriebernegg

I've spent 20 years in digital product, growth, and startup building. I co-founded App Radar (later acquired by SplitMetrics), built products used by 150,000+ companies, and today run the SplitMetrics Agency.

But what matters most: Since the first release of ChatGPT, I've been obsessed with one thing — making AI actually work in the real world. Not as a chatbot, but as an autonomous system.

The OpenClaw setup I run today manages large parts of my daily operations — from calendar and information flow to market monitoring, research, and execution workflows. This isn't a demo environment. It's infrastructure I rely on every single day.

Power ChatGPT user since day 1100+ AI projects
"You don't learn AI agents by watching tutorials.
You learn by wiring brains together."

— The core philosophy of this course

Real systems. Real results.

These aren't hypotheticals. These are actual agent systems I built and use daily. By the end of the course, you'll have the skills to build systems like these.

Internal dashboard (HQ)

Kanban boards, trading arena, startup radar — all orchestrated by AI agents

Knowledge database

Automatically extracts and organizes key insights from videos, articles, and conversations

Polymarket trading bot

Autonomous prediction market trading with copy-trading and sentiment analysis

Invoice pipeline

Gmail → OCR → Google Drive automation, zero manual filing

YouTube channel monitor

Track channels, get transcripts, summarize new videos automatically

Reddit opportunity finder

Find and draft responses to relevant conversations in your niche

Stock market watcher

Real-time market monitoring with AI-powered research and analysis summaries

Crypto trade analyzer

Track crypto markets, analyze trades, and surface actionable insights

Revenue tracker

Monitor multiple income streams, set goals, and track progress automatically

What you'll walk away with

Tangible outcomes, not vague promises

A working OpenClaw instance running 24/7
A main coordinator agent with persistent memory
At least two specialized sub-agents
A clear mental model of agentic systems
Confidence to extend, customize, and scale
A clear understanding of what to do when you're stuck
Complete curriculum

10 modules. 52 lessons. One working system.

Each module ends with a working checkpoint. You're never more than 20 minutes away from seeing something work.

Module 1
10 min
4 lessons

Orientation

What OpenClaw is (and isn't). Remove the confusion and hype anxiety.

Module 2
15 min
5 lessons

The mental model

Agent vs sub-agent vs tool vs memory. Build the correct intuition before touching code.

Module 3
20 min
6 lessons

Setup like a pro

Zero frustration install. Config validation. Multiple environments.

Module 4
15 min
5 lessons

Model selection

Why one model is never enough. Master brain vs worker brains. Cost optimization.

Module 5
30 min
4 lessons

Memory fundamentals

The core module. Short-term vs long-term. Compaction. Why forgetting is a feature.

Module 6
20 min
6 lessons

Your first agent

Build a real agent with role, goals, and memory. Your first dopamine hit.

Module 7
25 min
6 lessons

Sub-agents

Parallel thinking. Coordination patterns. Multiple agents working as a team.

Module 8
20 min
6 lessons

Tools & APIs

When to use tools vs agents. Common failure patterns and how to avoid them.

Module 9
15 min
5 lessons

Debugging

How agents fail. Reading logs. Spotting hallucinations. Building confidence.

Module 10
15 min
5 lessons

From toy to system

Scaling patterns. Security. Cost control. Your roadmap forward.

Trusted by builders

Early access students are already shipping

"Finally understand how to structure agent memory. Game changer."

Early Access Student
Software Engineer

"Built my first working agent system in one weekend."

Beta Tester
Startup Founder

"The sub-agent patterns alone were worth it. Pure gold."

Course Graduate
AI Developer

Common questions

Do I need coding experience?

Basic familiarity with the command line helps, but the course is designed to be accessible. We explain every step, including what npm is and how to run commands.

What's OpenClaw?

OpenClaw is an open-source framework for building AI agent systems — see the 'What is OpenClaw' section above. It handles memory, coordination, tools, and multi-agent orchestration. This course teaches you to master it from scratch.

How long do I have access?

Lifetime. Including all future updates. Once you're in, you're in forever.

What if I get stuck?

The course teaches you how to debug and overcome common roadblocks — that's part of the curriculum. For serious builders who want hands-on guidance, personal consultation calls with me are available.

Is this just for developers?

Not at all. Many students are founders, marketers, and operators who want to leverage AI. The course teaches you to think like an architect, not just copy code.

Available now

Ready to build your
AI agent system?

Get instant access to all 10 modules and start building real AI systems today. One-time payment, lifetime access.

52 hands-on lessons across 10 modules
Step-by-step video walkthroughs
Copy-paste configs, prompts & templates
Lifetime access + all future updates

One-time payment • Lifetime access • 30-day money-back guarantee