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40 AI Productivity Rules That Actually Work

Apply Dan Martell's 40 brutal AI truths to stop wasting time and start running your business on AI.

Based on: 10,000 hrs Using AI, Here's What Actually Works by Dan Martell

10,000 hrs Using AI, Here's What Actually Works

Why You Need This Checklist

What if the reason AI isn't working for you has nothing to do with the tools — and everything to do with how you're using them? That question stopped a lot of people in their tracks when Dan Martell first asked it, and it might stop you too.

Here's the uncomfortable truth: 77% of employees using AI say it's actually making them less productive. You've probably felt it yourself — you open ChatGPT, type something in, get a mediocre answer, and wonder what all the fuss is about. Or maybe you've spent hours tinkering with automations, exploring new models, building half-finished workflows that never quite come together. It feels productive. It rarely is. Meanwhile, your revenue stays flat, your time doesn't come back, and AI starts to feel like one more shiny thing that didn't deliver.

Now imagine a different version of that story. Imagine knowing exactly how to frame a prompt so the AI gives you a genuinely useful output on the first try. Imagine having agents running parts of your business while you sleep — not because you're a tech wizard, but because you followed a clear, repeatable system. Imagine your best people freed from soul-draining busywork, doing the human things only humans can do, while AI handles everything else. That's not a fantasy. That's what happens when you stop playing with AI and start directing it.

Dan Martell has logged more than 10,000 hours working with AI across a portfolio of companies approaching $250 million in enterprise value. He burned thousands of dollars in tokens learning what not to do, so you don't have to. In this video, he distills everything down to 40 brutal truths — the kind of hard-won insights that most people are too proud or too distracted to confront. Things like: why more context actually confuses AI, why your first draft is never the final cut, why a finished workflow on last month's model beats chasing the newest release, and why the bottleneck in your AI adoption probably has a face — and it's yours.

This checklist puts all 40 of those truths into a single, actionable reference you can work through step by step. Every rule is grounded directly in Dan's framework, with clear actions and notes so you know exactly what to do and what to avoid. No fluff, no filler — just the real playbook.

Work through this checklist and start building AI systems that actually move numbers in your business.

What's Inside — Preview

Every checklist item comes with actionable notes to guide you — things like "Don't forget to do this before you start," "Avoid this common mistake," or "Set a reminder for 30 days out." Nothing vague, just clear next steps.

DO Trim your prompts — give AI only the cleanest, most specific context it needs, nothing extra
DO Collect 3 to 5 real examples of the output you want and include them in your prompt instead of over-crafting the wording
DO Always specify who you want the AI to be, what you are doing, and exactly what output you want before asking your question
DO Put real effort into your prompt before hitting enter — treat the quality of your input as the ceiling for the quality of your output
DO Instead of asking AI if your idea is good, tell it to argue against your idea and poke holes in your thinking

+ 35 more action items inside...

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