Search "best AI prompts" and you'll drown in listicles of copy-paste one-liners. The people who actually build these models publish something more useful: plain guidance on how to ask, not just what to ask. We read through the public prompting guides from Anthropic, OpenAI, and Google and pulled the five habits that make the biggest difference — re-explained here in plain English, not their exact wording.
1. Tell it who to be before you tell it what to do
Assigning a role up front — "answer as a skeptical CFO," "answer as a patient teacher" — changes what the model pays attention to before it writes a single word. It's the single most consistently taught technique across every major lab's own documentation.
2. Show it examples instead of describing a style
"Make it punchy" is a guess. Pasting 2-3 real examples of what "good" looks like is a pattern the model can actually match. This is sometimes called few-shot prompting, and it's dramatically more reliable than adjectives.
3. Ask it to critique its own answer
One extra line — "now critique that like a tough editor would" — routinely surfaces a weaker word choice, a missing angle, or a lazy generality the first pass missed. It costs one follow-up message and it's nearly free quality.
4. Say exactly what shape you want back
"Tell me about this" invites a wall of text you'll have to reformat yourself. Asking for the exact structure — a table with named columns, a 3-bullet summary, a specific word count — gets you something you can use immediately.
5. Let it write you a better question
Stuck on how to even ask? Describe the mess in your own words and have AI turn it into a sharper prompt before answering it. This "meta-prompting" move fixes the single biggest cause of a disappointing answer: a vague ask.
None of this requires a better model
Every one of these habits works today, in whatever AI you already have open. The gap between a mediocre answer and a great one is almost never the model — it's the ask. Practice these five and you'll notice it immediately.
Want AI that already knows your business context so you're not re-explaining it every time? That's what AIKit is built for — see the standing persona move for the DIY version first.