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Home › AI prompts › Work › The prompts people save vs. the prompts that work

The prompts people save vs. the prompts that work

Published May 5, 2026

PromptingPlanning

The take

The most-saved prompts are the ones that ask the least of you. Paste it, fill 1 bracket, and you get your answer. That’s why people save them.

But the less you give the model, the more AI slop it gives back.

It reads like progress.

It isn’t.

People aren’t cutting corners for fun. The blank input box is hard. A template that says “paste this and fill in the bracket” solves that.

But most templates solve the blank page without solving the blank context. You get past the cursor and land on output that could belong to anyone.

Like a fortune cookie. Broad enough to feel true. Specific to no one.

Good prompts don’t just get you past the blank page. They make you answer something first.

You still have to show up. But you don’t have to start from scratch.

One feels like progress. The other is.

You can watch the split play out anywhere. Asking one prompt to find a hotel just gets a guess. Make it rank what matters first, then pull real prices, and you get a real answer. Video is the exception: my Claude video prompt got worse with every rule I added.

Seen this week

1. Weekly planner that starts with outcomes

A weekly planner that asks what a successful week looks like first, then builds the schedule backwards from the results.

Get the weekly planner prompt.

2. Split-perspective idea stress test

Two characters argue over your idea, one defends it and one tries to break it, so you see the cracks before you invest real time.

Get the stress test prompt.

3. Socratic tutor

You want to learn something new, but don’t want a wall of text you’ll forget in 10 minutes. This prompt turns the model into a tutor that teaches by asking you questions, one at a time, building up from the basics. You learn by answering, not by reading.

You are a Socratic tutor. Help me understand [TOPIC] by asking questions, not lecturing.

Ask one question at a time. Start with the most basic foundational question. Wait for my answer before continuing.

After I answer, tell me in one sentence what I got right or where I'm off. Then ask the next question.

If I'm stuck twice in a row, give a hint. Only explain fully if I ask or can't get it after a real attempt.

Why it works: The one-question-at-a-time constraint prevents the model from dumping information. You have to think before you get more. That’s closer to how learning actually sticks.

One gap: No depth target. The prompt doesn’t define what “understand” means for your topic, so the tutor doesn’t know when to push deeper or when you’ve gone far enough.

Simple fix: Add your starting level. “I’m a complete beginner” or “I know the basics but get lost at [specific concept].”

Credit: u/themancalledmrx. Original post.

The teardown

The Carnegie conversation planner

A set of 7 prompts that turns Dale Carnegie’s principles into lines to memorize before a conversation. The rewrite helps you think about the other person instead.

Get the meeting prep prompt.

Related posts

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Cover of Which AI Model Should I Use? Second Edition Free Which AI model should you use? Pick the right model for each job and make your usage limits last. Get the free guide

Contents

  • The take
  • Seen this week
  • 1. Weekly planner that starts with outcomes
  • 2. Split-perspective idea stress test
  • 3. Socratic tutor
  • The teardown
  • The Carnegie conversation planner

Get the next issue

Free weekly prompts that work.

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  • Prompt The AI prompt that gets you a free HVAC website Builds a complete HVAC website in ChatGPT or Claude. You keep the files and host them free.
  • Prompt The AI prompt that finds the business idea you can not see Builds a business idea out of what you already know, then shows you how to test it for free.

In this article

  • The take
  • Seen this week
  • 1. Weekly planner that starts with outcomes
  • 2. Split-perspective idea stress test
  • 3. Socratic tutor
  • The teardown
  • The Carnegie conversation planner

Frequently asked questions

Why does the weekly planner prompt ask about outcomes before scheduling?

Most planners start with tasks and fit them into time slots. This one starts with what a successful week looks like, then works backwards. You end up with a schedule connected to results instead of a full calendar that doesn't move anything forward.

How does the split-perspective prompt prevent the model from agreeing with you?

It forces two characters with opposite positions. One defends the idea, one attacks it. Neither is allowed to be polite. That structure removes the model's default tendency to validate whatever you say.

What was wrong with the Carnegie conversation planner?

It asked the model to write your lines for a conversation with someone the model doesn't know. The result is generic filler that sounds like Carnegie but replaces genuine attention with a script. The rewrite helps you think about the other person instead of memorizing lines.

Do these prompts work with any AI model?

Yes. Every prompt in this issue works with Claude, ChatGPT, Gemini, or whatever model you use. None of them depend on model-specific features.

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