
I design AI systems for e-commerce and SaaS brands who are very happy with the results and very nervous about you finding out.
28 brains.
40+ workflows (not
these 280 free ones — mine
have been yelled at,
rewritten 6 times,
and run 24/7 on real
money. Reluctantly.)
Here are some cases with the names scratched off.
Who I am, why I built this, what you're looking at.
Architecture walkthrough — agents, scoring, reject loops.
Two encyclopedia entries for the same profession
A tradesperson who, when asked to fix your sink, explains siphon physics, P-trap geometry, vent stack dynamics, and the fluid mechanics of negative pressure — while you nod politely, understanding nothing.
A tradesperson who, when asked to fix your sink, looks at it, fixes it, and says "nothing leaks, enjoy your bath 24/7."
§ AI Vendor, Contemporary — almost always of the theoretical variety. Talks RAG pipelines and multi-modal orchestration to hide the fact they built a ChatGPT wrapper. The following entries translate them back into human.
Five common terms, translated
Compound systems with scoring gates and reject loops don't just "use AI" — they build an intelligence layer that gets measurably sharper every week. That's not a feature. That's a moat.
Inventive problem-solving. 40 principles for resolving contradictions without compromise.
Sense-making framework. Classifies problems before choosing solution strategies.
Observe-Orient-Decide-Act. Speed of decision as competitive advantage.
System 1 vs System 2. When to let agents think fast vs think slow.