AI Summary
5 min readWhen Alicia Lyttle locked herself in her basement for two weeks in 2022, the day after ChatGPT launched, the results she got back were not impressive. The chatbot kept writing things like “I hope this message finds you well” and “in conclusion.” But she noticed something: the tool was free, and millions of people were flooding onto it. So she stayed in the basement and figured out how to make it stop sounding like a robot. The breakthrough came when she stopped treating it like a search engine and started treating it like a ghostwriter — feeding it her own writing, her stories, her voice, and telling it to sound like her. That two-week experiment turned her digital marketing agency into an AI consultancy, and it taught her the single most important lesson about making money with AI: you have to train it on you.
The Three-Step Prompting Process That Changes Everything
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What you'll learn
- 1 (00:36) **Why This Conversation is Different** - Emma frames the episode as the grounded, practical version of AI advice: what to use, how to use it, and whether it will make you money.
- 2 (04:26) **Emma Introduces Alicia Lyttle** - The "Queen of AI" sets the goal: give listeners strategies and prompts they can actually practice and use.
- 3 (05:42) **Where to Start: Ask Your AI Tool** - Alicia's first step: go to the AI tool you already use and ask it for a plan based on what it already knows about you.
- 4 (07:07) **The Two-Week Deep Dive That Changed Everything** - Alicia locked herself in her basement for two weeks in 2022 to learn ChatGPT.
- 5 (09:48) **The "Personal Intelligence Blueprint"** - A repeatable method to make AI act as your business coach.
- 6 (12:46) **The Three-Step Prompting Process** - Alicia's exact system for turning a messy idea into a powerful prompt in minutes.
- 7 (15:08) **Building a Prompt Library** - How to create and sell templates for your industry.
+ Full timestamped outline available in the app
Show Notes
Alicia Lyttle is the CEO of AI InnoVision and one of the clearest voices teaching entrepreneurs and operators how to actually use AI to make money. Her clients run from solo founders to Fortune 500 companies and US government agencies. She's been teaching people how to build online for 25 years, long before the current AI wave. People call Lyttle the Queen of AI for good reason.
The AI conversation right now is mostly hype or fear, but this is the more grounded version: specific tools, real workflows, and what actually works when you try to put any of this into a real business.
In this conversation:
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The one question Lyttle calls the golden ticket for figuring out what to hand to AI first when you're building your business
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Why getting good at AI has meant hiring more people, not fewer
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How to build an AI team when you can't yet afford to hire a human one
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The three-step process for turning any prompt into a "super prompt" that actually pays off
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How to use AI to create a $20,000 presentation
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What you should never put into ChatGPT, and how to protect your business while still using it
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