Guide
Guide: Get more out of your AI interactions
Six habits that separate expert AI users from everyone else

The biggest factor in whether AI works for you isn't the model. It's how you engage with it. Here's what the expert users do differently that you can learn from.
Habit 1: Don't accept the first answer
The expert move: Read it, find the assumption that's off, push back.
The novice trap: "The AI gave me an answer, so I have my answer."
→ Try this: Before acting on any AI output, ask "what did it assume that I didn't tell it?"
Habit 2: Refine the goal, not just the wording
The expert move: Discover mid-conversation that you were asking the wrong question and reshape the request.
The novice trap: Rephrasing the same ask over and over.
→ Try this: If two attempts haven't worked, stop rewording and instead step back and rewrite the goal.
Habit 3: Treat fluent answers with suspicion
The expert move: Verify specifics like numbers, names, citations, technical claims.
The novice trap: Confusing "sounds confident" with "is correct."
→ Try this: When the answer matters, ask the AI to show its reasoning or sources. Then check.
Habit 4: Catch drift early
The expert move: Notice when responses feel adjacent to what you wanted, not on target.
The novice trap: Letting the conversation slide further off-topic with each turn.
→ Try this: If something feels "close but not it," name it: "We've drifted. Let's go back to the original goal."
Habit 5: Break the loop
The expert move: When the AI keeps producing the same flawed output, change the approach entirely.
The novice trap: Trying minor variations on the same correction.
→ Try this: Start a new conversation, or describe the problem from a totally different angle.
Habit 6: Don't walk away silently
The expert move: When you're about to give up, push once more — name what's wrong explicitly.
The novice trap: Abandoning the conversation without saying why.
→ Try this: Before closing the tab, try one direct turn: "This isn't working because [X]. Here's what I actually need."
The mindset shift
AI is not an oracle. It's a collaborator that needs steering. The people getting real value aren't the ones who found the magic prompt. Instead, they're the ones who learned to engage.
Expect more failure, not less
Expert users encounter more failures than novices — but they catch them, recover from them, and tackle harder problems as a result. Friction isn't a sign you're using AI wrong. It's part of using it well.
