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$100M Workflow Demonstration Using AI

Published January 30, 2024 · 3,227 views on YouTube

Key takeaways

What is the $100M Offers and Leads AI workflow demonstrated in this video?

This video is a replay of a summit demonstration where Darby, founder of Gen AI University, shows AI advantage host Jay Williams a free ChatGPT prompt workflow built around Alex Hormozi’s books “$100M Offers” and “$100M Leads.” The workflow takes a content brief about your business and runs it through a sequence of prompts that generate a niche, an offer, and lead-generation assets based on the frameworks in both books.

How do you use the $100M Offers ChatGPT workflow?

  1. Go to the free workflow on the Gen AI University blog (no opt-in required) and find the “start here” context section.
  2. Fill in the content brief with your business name, what you offer, and who your target avatar is.
  3. Copy and paste the $100M Offers prompt sequence into ChatGPT (Darby recommends GPT-4) or Claude, directly beneath your business context.
  4. Let it run through the sections in order: identifying the best market/niche, then building out the rest of the offer components covered in Hormozi’s book.
  5. Review the output as a human decision point — keep what fits, and rerun any section if you want a different niche or angle.

What does the $100M Leads workflow generate?

Once an offer is locked in, the $100M Leads workflow uses the same business context to generate a set of lead-generation assets: ideas for lead magnets, a first-draft outreach message, trust-building message angles and email subject lines, referral-request prompts, content format ideas (like interactive quizzes and listicle blog posts), and ad copy following frameworks such as problem-agitate-solution and AIDA. Darby describes the output as roughly 80% of the way to a finished asset — a starting point you still need to personalize, test, and refine based on real responses.

Do you have to pay to use this workflow?

No. Darby says the two-part workflow is available for free on the Gen AI University blog, with no opt-in required to access it.

Is this workflow a replacement for reading the books?

No. Darby recommends reading both “$100M Offers” and “$100M Leads” alongside using the workflow, so you have Hormozi’s full reasoning “over your shoulder” as context for why each prompt section exists. He frames the AI workflow as a way to accelerate implementation and brainstorming, not to replace the underlying strategy in the books.

Full video transcript

How’s it going, y’all — Darby here at Gen AI University, and in this video you’re going to be watching a replay from a summit where I put on a demonstration with Jay Williams from the AI Advantage on implementing the $100 Million Offers and $100 Million Leads workflows using AI, based off of Alex Hormozi’s books, to help you with brainstorming your offers and taking in audience feedback and crafting offers and messaging that speaks directly to your ideal target audience. Hope you find the video valuable and useful for practical application of AI integration into your business — let me know how you find this concept below in the comments, and if you like this video, give us a thumbs up.

Let’s dig in. Jay introduces Darby: “Darby is someone who immediately got my attention when I found out he was the first-ever user of Jasper AI, and that suggested to me this must be a guy who’s been in the AI space for some time. Darby is an entrepreneur and a pioneer in applying generative AI to business and business growth, and he started something called Gen AI University to empower entrepreneurs to harness generative AI through hands-on education. Today he’s here to talk about implementing $100 million offers and $100 million leads 10 times faster.”

Darby gives a bit more of his journey: running an e-commerce consulting agency helping Amazon sellers sell more products, leading up to 2020-2021 when Jasper AI opened up and generative AI technology started evolving quickly. That’s what brought him and his team and community together into Gen AI University — their platform for hosting events, community, training, education, and peer-to-peer learning about what’s working right now with AI.

Darby poses a question to the audience: how many people have bought a book because the idea was great and the author is smart, fully intending to read it and implement it — and then the book just sits on the shelf, or you spend hours digging through it only to realize you still have to do all the implementation yourself. If that sounds familiar, AI is a fantastic tool for identifying the key points — operationally or in marketing and content — and connecting the dots within your business. He wants people to walk away with two things: how simple it is to copy, paste, and add your own business information to run both workflows based on Hormozi’s books (while still recommending you read both books to get his full perspective), and ideas for how a similar workflow could be built in your own business for other goals — operations, customer support, training your team, creating ads, and more.

Darby shares his screen. He recommends two tools for testing the workflow: ChatGPT and Claude. The workflow accomplishes two things — generating a $100 million offer for a product, and then a $100 million leads plan. Both are available for free, no opt-in required, on the Gen AI University blog. There are two sections: a “start here” context section, and the workflow prompts themselves. As his example, Darby uses Side Hustle, a party board game for entrepreneurs he’s a part of, and has fed AI information about the game — its cards, pain points (boredom, need for laughs), niche (group gameplay, creativity, humor), and product details.

To run it, you paste your business context into ChatGPT (Darby recommends GPT-4), then paste in the $100 Million Offers prompt sequence beneath it. Each prompt can be run individually or all at once. The context you provide up front — business name, what you offer, and who your avatar is — has a huge impact on directing where the AI focuses. Running it on the Side Hustle example, part one identifies the target market (families, friends, and colleagues with the pain point of boredom) and confirms the board game market is expanding. It continues through niche identification — educational entrepreneur games, sub-niche games promoting creativity and humor, quick engaging group games for entertainment.

Darby notes that rerunning the same prompt can surface a different niche or a fresh perspective you hadn’t considered. This is meant as an active brainstorming tool: the AI proposes elements of the offer, and it’s the human’s decision to keep what fits — pricing, niche, and so on — or regenerate for something different. He recommends locking in the offer before you start reaching out to people in your network about it. Along the way, the output can also surface ideas for lead magnets, website updates addressing pain points or desires, and additional bonuses for the product.

Jay checks in with the audience and adds context for anyone unfamiliar with the book: Hormozi’s core idea is to make people an offer so good they feel stupid saying no, built from components like dream outcome, perceived likelihood of achievement, time to result, and perceived effort. He notes that Darby’s prompt sequence is designed to walk through exactly those components.

Moving to the $100 Million Leads section: once you have an offer, the workflow shifts to generating a roadmap for getting people into it, based on Hormozi’s follow-up book. Jay asks the audience how they’re currently generating leads (the book covers warm traffic, cold traffic, paid advertising, and referral traffic); audience members mention referrals and outreach. Darby notes this fits well with the workflow, and that even with zero leads, the prompts can help you identify a lead magnet. Running the Side Hustle example, ChatGPT suggests options like a creative challenge, an ebook, an exclusive online workshop, and an “AI-powered strategy simulator” — which sparks the idea of building a branded custom GPT as a lead magnet.

The workflow also produces a first-draft outreach message, which Darby says is about 80% of the way there — a starting point to edit, personalize, and adjust rather than send as-is. Other outputs include trust-building message angles and email subject lines relevant to the target audience, referral-request prompts (for people who’ve already bought the game), and content format ideas like interactive quizzes and listicle blog posts (for example, “10 surprising skills you can gain from playing Side Hustle”). Further down, the workflow surfaces ideas for building a contact list (board game forums, social media hashtags, event attendee lists) and moves into outreach tactics — noting that the right channel depends on the audience (e.g., LinkedIn and executive masterminds for B2B coaching versus email/social ads for an e-commerce product like Side Hustle). It also generates ad copy using frameworks like problem-agitate-solution and AIDA.

Darby frames the combined $100M Offers plus $100M Leads workflow as getting him roughly 80% of the assets he needs, with the remaining “sweat equity” being manual outreach and testing what resonates. He shares that Side Hustle itself has gone through this refinement process repeatedly as the product and messaging evolved — including building a free digital version of the game during the pandemic when in-person play and physical shipping weren’t possible.

Jay observes that what Darby has built is effectively a GPT distilled into a prompt — packaging expertise into something reusable, similar to a custom GPT Jay built for his own coaching practice. Darby agrees this approach extends beyond books to any operational workflow — sales, marketing, writing, education, operations — as long as you supply the right context and guardrails. He notes there’s now a “Hormozi GPT” that someone else has already built, which he’ll link in the shared resources.

Jay adds an important caveat: the AI output does heavy lifting, but you still have to go out, use it, and refine it through real conversations — for example, using AI-generated offers as a starting point but only discovering the real objections by actually getting on sales calls. Darby agrees, adding that feeding the AI your real sales-call objections, transcripts, and customer conversations — rather than generic prompts alone — produces far more useful, specific output than starting from scratch.

Wrapping up, Darby mentions a free gift for the audience — a blog post with more of these workflows and GPTs as they’re developed, available by signing up for the newsletter — and again recommends getting both of Hormozi’s books. Jay thanks Darby for the demonstration and closes out the segment.

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