When AI Models Disagree, Don’t Use Majority VoteAsking a second AI model is one of the easiest ways to check an uncertain answer. But what happens when the second model disagrees with the first? You ask a third model. Now one model says A, another Jul 23 · 6 min readsarahtokenbay.hashnode.dev
Building a Model-Agnostic Agent Harness: What Breaks When You Switch LLMsSix months ago, I made a bet on a project: let users pick their LLM. Three months later, I realized the dropdown was the easy part. This is what the hard part looked like. The Model Changed. EverythinJul 20 · 7 min readsarahtokenbay.hashnode.dev
The API Call Succeeded. The Workflow Still Broke.We're building TokenBay, a unified API that routes requests across GPT, Claude, Gemini, DeepSeek, and a few dozen other models. A few weeks ago we ran a fairly boring internal test: send the same struJul 16 · 6 min readsarahtokenbay.hashnode.dev
The Best AI Model Is Usually the Wrong QuestionDevelopers keep asking which AI model is the best. It sounds like a reasonable question. There are leaderboards, benchmark charts, side-by-side comparisons, and a new “best model” every few weeks. ButJul 15 · 5 min readsarahtokenbay.hashnode.dev
Three AI APIs Now Look Almost Compatible. They Still Aren’t Interchangeable.OpenAI, Claude, and Gemini now look surprisingly similar at the API level. In some cases, switching providers requires little more than changing an API key, a base URL, and a model name. But this compJul 14 · 4 min readsarahtokenbay.hashnode.dev