AI systems that survive real users.
Most AI demos work. Most AI systems break the day a real customer touches them. MIT looked at 300 enterprise AI projects (Aug 2025) and found 95% delivered no measurable business result.
I build these systems for real businesses: property managers, accounting firms, insurance agencies. Then I write up what broke and how it got fixed.
What you'll find here:
✅ Working systems you can open and run, with an honest account of every way they failed first
✅ How to test whether your system works, before your customers find out it doesn't
✅ What it actually costs to run, in real numbers
✅ Where the no-code version stops being enough, and the smallest bit of code that fixes it
Whether you build in n8n or in code, the thing that breaks is the same.
No income promises. No template shop. Tools are materials, not identity.
Start with the challenge. Stay for the ladder.