When an AI product produces good output, three things had to go right. When it produces bad output, the cause is almost always in one of those three things. The model itself, Claude or GPT or Gemini or whichever, is the most visible variable. It’s rarely the most consequential. ...
After speaking with dozens of founders building AI-powered products, I’ve noticed a pattern. They’ll complain about model quality, debate between GPT-4 and Claude, or worry about hallucinations — but when I dig deeper, the real issue is simpler: they’re not controlling the temperature parameter. This single setting can dramatically change your results, yet most builders treat it as an afterthought or ignore it entirely. Understanding Temperature: The Technical Reality Temperature controls randomness in text generation. Here’s how it works: ...