Why chasing better prompt wording is the wrong move
Prompt engineers spend weeks getting the wording perfect. Turns out the wording isn’t the real variable. What actually drives LLM […]
Prompt engineers spend weeks getting the wording perfect. Turns out the wording isn’t the real variable. What actually drives LLM […]
Smart context-aware AI gets you building faster. That’s the pitch, and it’s true. But there’s a side effect nobody talks
Picture someone copying a prompt off a Reddit thread, tacking on “take a deep breath” at the end, and feeling
Drop your feature list into this prompt and you get back a clean 3-tier taxonomy ready for technical documentation. One
A developer dropped reClaim on GitHub this week. It’s a system prompt framework that forces any frontier model to show
When everything on your list feels important, nothing actually moves. This prompt picks one direction and tells you exactly why
Lying to ChatGPT works better than asking it nicely. Not sometimes. Consistently, across a full week of testing by a
TL;DR: Telling AI to sound “natural” or “warm” doesn’t work. Two testable constraints do, one for sentence habits, one for
Here’s a quick test: can you describe your own psychology in five traits specific enough to build a visual language