The disappointing way to use AI is the vending machine: put a prompt in, get something out, complain that it is generic. The useful way is closer to working with a very fast, very well-read new teammate who has no context about your business.
Nobody hands a new hire a single sentence and expects great work. Yet that is exactly how most people brief AI.
Brief it like a manager
A good brief has the same parts whether it is for a person or a model:
- Context: who the audience is, what the business does, what good looks like.
- The job: one clear outcome, not five.
- Constraints: tone, length, format, what to avoid.
- Examples: one or two pieces you already love.
- The review: tell it you will iterate, and ask what is missing.
Generic output is usually a generic brief wearing a disguise.
Where it genuinely shines
First drafts, variations, summaries, restructuring, research starting points, turning one long piece into many short ones, and all the glue work between tools. Anything where you can judge quality faster than you can produce it.
Where it quietly fails
Facts it cannot check, taste it has not been shown, and decisions that need your judgement. AI will confidently fill gaps. That is fine in a draft and dangerous in anything you publish, send or sign without reading.
Build loops, not one-offs
The biggest jump comes when you stop using AI in single chats and start building it into systems: a brief template, a review checklist, a place where good outputs are saved as examples for next time. That is when it stops being a toy and starts being a teammate.
- #AI
- #Workflows