Everyone wants to use AI. Almost nobody is taught how to use it thoughtfully — and for brewers early in their journey, the hardest part isn’t the tool, it’s that they don’t yet have the experience to know what to ask. This 5-part series builds that skill deliberately: not prompt tricks, but question literacy.
No hype, as always. Where AI helps, I’ll show you. Where it confidently lies, I’ll show you that too.
The series
- You Don’t Have an AI Problem, You Have a Question Problem — why beginners get generic mush, and what a knowable question looks like.
- The Beginner Brewer’s Cheat Code: Ask AI What You Should Be Asking — flip the tool: questions are cheap to verify, answers are expensive to get wrong.
- A Brewer’s Map of Their Own Data — five piles of data you already have, and what each can actually answer.
- Ten Prompts from the Brewery Floor: Bad Ask → Good Ask — real situations rewritten: style + stage + numbers + timeline + one decision.
- How to Tell a Good AI Answer from a Confidently Wrong One — the claim-sorting discipline that makes the rest of the series safe.
Read them in order — each builds on the last. Every post in the series is tagged #asking-better-questions.
If you’re further along the journey, the companion series From Brewer to AI tells the longer story — from the brewhouse to data science, including where AI burned me.