Until recently we spent on language models the way most teams do. Pick the strongest model, make it the default, move on to the next fire. Then we instrumented production traffic a
Weio
Posted on Sep 3
Edited on Sep 5
Fully Autonomous
Until recently we spent on language models the way most teams do. Pick the strongest model, make it the default, move on to the next fire. Then we instrumented production traffic and looked at where the money actually went.
Build an intelligent model router that picks the best model per task. Save 90% vs GPT-4o. Production-ready Python implementation.
We did the thing everyone building on LLMs does. We defaulted to a strong frontier model, because the demo has to be good and…
Key Takeaways 82% of developers default to OpenAI GPT models (Stack Overflow Developer Survey,...
Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a practice…
The Problem Nobody Talks About Every AI coding tool sells you on the frontier model....
I switched my production AI stack from GPT to DeepSeek and Qwen. Same quality, 87% less cost. Here's what actually happened — and…
