Why the way you word a request changes what AI gives back
By Rodney Noriega, Founder, Universal Enablement · Published Oct 12, 2026
Short answer
AI assistants read every word of your request together to work out what each word means. Change the surrounding words and you change the answer. So the context you give, like who the reader is, what you need and an example of good output, is the biggest lever you have. This works the same in ChatGPT, Claude, Gemini or Copilot.
Take the word "bass." In "he caught a bass on the lake," it's a fish. In "she plugged in her bass," it's a guitar. The AI starts with the same meaning for "bass" in both. It uses the nearby words, "lake" or "plugged," to pick the right one. This technique, called attention, came from a 2017 Google paper and sits behind nearly every AI tool today.
The practical lesson: vague in, vague out. Compare these two requests.
- Weak: "Write a reply to this customer."
- Strong: "Write a reply to this long-time customer asking about a late delivery. Apologize once, give the new date of Friday, and keep it under 100 words. Friendly, not formal."
A good request usually covers four things: who it's for, what you need, the tone, and an example.
When we set up a workflow, we write those instructions into a reusable template. Every output then starts from the same clear brief.
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