A lot of AI apps die in the same place.
Not during the prototype phase.
Not while testing prompts.
Not even during the “which model should we use?” debates.
They break the moment real users start showing up.
A lot of AI apps die in the same place. Not during the prototype phase. Not while testing...
A lot of AI apps die in the same place.
Not during the prototype phase.
Not while testing prompts.
Not even during the “which model should we use?” debates.
They break the moment real users start showing up.

Two months ago, I was staring at a 503 error from an AI API provider while my users were...

Six months ago our team had three different SDKs, four API keys floating in .env files, zero cost visibility, and one very…

A practical staging checklist for teams that want multi-model access, better cost control, and fewer...

I Built a Local AI Gateway That Talks to Claude, ChatGPT, DeepSeek and Gemini — Without a...

Why Your AI-Built App Works in the Builder But Fails in Production You ship an app from...

A real engineering debrief on how one bad retry pattern and missing token guardrails caused an AI API cost explosion and how to…