Systems & Mental Models

We tested our find-everything catalog and a tool we had built was invisible. Why intake-first archives fail, and the loop that fixed ours.

Above ~15 KB of base64 an AI swapped Latin letters for Cyrillic twins. The free guard: strict decode, retry, then gzip — never fight the transport.

We set out to build an autonomous loop — it was already running. Why read-first norms fail and the structural gate that stopped us rebuilding our own work.

We rebuilt one trivial skill four times because agents kept misreading it. Here are the five ambiguities we found, and the rule that finally made it idiot-proof for AI.

Inversion means flipping the question: ask how you would fail, then remove those paths. It forces you to design for fewer mistakes instead of a perfect plan.

First-principles thinking breaks a problem down to its most basic, verifiable elements and reasons up from there. How we used it building an AI content system.