AI, But Be Serious
If you’ve ever read a “10x with AI” thread and thought “okay… but how?”, you’re home.
A public standard for AI clarity
No hype. No demos. Just ways of thinking you can actually use when real work is on the line.
Fluent output isn’t proof. If it matters, we verify-before it becomes a confident mistake.
Great systems tell you what they can’t do-early-so you don’t get burned later.
AI should raise your standards, not lower your responsibility.
Read these and you’ll be dangerous (in a good way)
A short, curated set that upgrades how you think about AI.
How serious teams use AI without getting cooked
A simple way to use AI at work without breaking things or embarrassing yourself.
What is the output? Who will use it? What does “good” look like?
Put instructions first. Separate context. Specify format. Provide one example.
Treat outputs as drafts. Require checks, citations, tests, or references-depending on the task.
If it impacts people, money, health, safety, or reputation-add guardrails and review.
The rules we don’t break
These principles are what separates ‘AI content’ from professional work.
Clear limits beat fancy claims. Scope prevents embarrassment.
High-stakes work must be grounded: tests, references, or citations.
AI accelerates execution. Humans own responsibility.
Build with AI like you build with electricity: powerful, controlled, and not romanticized.
Read a few posts. You’ll start spotting AI hype immediately-and know what to ignore.