How to Build Reliable AI Products: A Production Engineering Guide
AI demos are easy. Reliable AI products are an engineering problem.
Technische Posts, Produktentscheidungen und ehrliche Beobachtungen, geschrieben beim Bauen, nicht danach.
Artikel und Einträge im Entwicklungslog sind auf Englisch.
Ein Einstieg, um zu verstehen, wie ich denke und arbeite.
AI demos are easy. Reliable AI products are an engineering problem.
MV3 is four moving parts, manifest, service worker, content scripts, and UI, not a single script tag anymore.
Stop presenting projects. Start shipping a system that compounds trust.
Öffentlich entwickeln
Was shipped wurde, was kaputtging und was sich änderte, geschrieben, als es passierte.
Shipped a popup refresh focused on first-glance clarity: the popup now states the job plainly, the current-tab shortcut says exactly what it does, and the empty state lost its duplicate copy. Small release, but every session starts at the popup.
Rebuilt the Amethyst popup around one question: where did today go? It now opens with the daily total, top sites, and a single button into the full dashboard. Removed the tracking badge, comparison chip, sync button, and feedback card, the glance view answers fast, then gets out of the way.
A run of notes on making this site readable by AI agents: the MCP server, the public API, the data model, and the security lessons from exposing it all. Personal sites are becoming APIs, this series documents doing it for real.
Wie sich KI-Funktionen verhalten, wenn echte Menschen sie nutzen, nicht in kontrollierten Demos.
Shipping a custom model is only safe if a boring commodity model can take over on the next request, with no deploy and no user-visible seam.
Every fine-tuning tutorial starts with a clean dataset. Mine started with 400 Spanish quotes under loose headers in a .txt file, and getting from one to the other was most of the work.
Praktische Guides für Manifest V3, Browser-Tools und Extension-Distribution.
Twelve of ResistGate's 137 store-page visitors this year came from AI assistants. Social media sent three.
A focus event tells my time tracker something may have changed. It asks Chrome which window has focus before it records a minute.
Preise, Produktentscheidungen und was ich gelernt habe, als ich Dinge bauen wollte, die Menschen wirklich kaufen.
Game monetization splits cleanly into predictable-and-fair and random-and-manipulative. Regulators are banning the second, and the same line runs through how any product charges.
Retention won through dark patterns is debt. It builds regulatory and reputational liability and makes every future price increase impossible.
Architektur-Trade-offs, Primitive statt Komplexität und dauerhafte Systemmuster.
The shared action should not inherit the latency of every feature it triggers.
Predict locally, decide centrally, and make rejection a first-class state.
Wie ich Entscheidungen treffe, fokussiert bleibe und ohne Team vorankomme.
You can't skip the ten. Every million starts as ten people who actually stayed.
The right model is the one your product's costs, users, and habits actually point to, not the trendy one. Ten questions get you there.
Schlaf, Routinen, Lernen und was mich wirklich auf voller Kapazität hält.
Praktische Anleitungen und Checklisten auf Englisch.
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