Micro-Lessons
I have spent thousands of hours building autonomous AI ecosystems. These are the practical, hard-earned lessons I picked up along the way. Tool-agnostic. No fluff.
Start With Prompts, Not Platforms
Why the tool you use matters less than how you think about the problem.
Skills Beat Prompts: Build Reusable Systems
How to move from one-off tasks to modular, repeatable AI workflows.
AI Forgets Everything. You Have to Fix That.
How to solve the context window problem with persistent memory.
Why One Agent is Never Enough
The power of specialization and multi-agent orchestration.
Guardrails, Drift, and Documentation Debt
The hard lessons learned from building autonomous systems.
The Landing Page Tournament Prompt
Stop settling for the model's first draft. Make eight drafts fight, and keep the winner.
Where This is All Going
The future of autonomous ecosystems and recursive learning.
The What's Absent Audit
Models are good at noticing what is missing. Point that at your business to find lost revenue.
The Interview Before the Build
One-shotting an app gets you something pretty with no product-market fit. Make the model interview you first.