LLM Cost Optimization After the Free Lunch Ended
Frontier models got expensive enough that model choice is now a real decision. What the Ramp billing data shows, and the routing rules I actually…
Frontier models got expensive enough that model choice is now a real decision. What the Ramp billing data shows, and the routing rules I actually…
Qwen 3.8 27B defaults to maximum reasoning effort on every prompt, even simple ones. Here's how to run it locally, spot the setting, and control…
My eval harness leaked model names into the judge prompt for six weeks. What two recent papers say about judge bias and calibration, and the…
I migrated a Next.js chat endpoint from the raw OpenAI SDK to Vercel AI SDK v5. Here's the before/after code, where it wins, and where…
New numbers on iterative LLM self-repair: where extra tries earn their keep, where they quietly waste tokens, and the retry loop I'll actually defend.
A new paper tested 8 reasoning models with 14 formatting perturbations. Open-weight models lost up to 55% accuracy. Here's what that means for production use.