Garbage In, Garbage Out: AI Doesn't Know What You Didn't Tell It
Every industry has the same problem: people expect great results from vague instructions. Introduce the difference between searching and communicating with AI.
Garbage In, Garbage Out
AI doesn't know what you didn't tell it.
A software engineer asks AI to write code. A marketer asks it to build a campaign. A healthcare administrator asks it to improve a workflow.
Different industries. Different problems. The same mistake.
They provide vague instructions and expect exceptional results.
When the output disappoints, they blame the AI. But sometimes, the technology isn't the problem. The request is.
AI can only work with the instructions, context, and information available to it. Leave out critical details, and you're leaving the system to make assumptions on your behalf.
Sometimes those assumptions are right. Sometimes they're not.
The result? Something that looks impressive but misses the point.
The industry doesn't matter. The principle does.
In this series, we'll explore why the way you communicate with AI matters, how to improve your results, and why effective prompting is becoming a skill everyone needs.
Because using AI and using AI well are two very different things.