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The Calum Johnson ShowThe Calum Johnson Show

The $10M Multipreneur: How To Get RICH In The New Era Of Al (Painfully Simple!) | @GregIsenberg

About the video Today’s guest is Greg Isenberg — a startup entrepreneur, advisor, and CEO of Late Checkout, a company that builds and invests in internet communities.

Greg IsenbergguestCalum Johnsonhost
Mar 31, 20251h 20mWatch on YouTube

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CHAPTERS

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Chapter summaries

  1. Why Non-Technical People Can Build AI Businesses

    Calum frames the episode around the idea that people who think they're not tech people get excluded from AI opportunities. Greg says that belief is limiting and hopes to give listeners the confidence to put something out that changes their lives.

    • •Calum introduces Greg as a tech outsider who built and sold three companies before 30
    • •Calum says Greg's framework has helped people in his network build AI businesses making over $50,000 a month
    • •Greg calls feeling like an outsider to AI a limiting belief
    • •The goal is to give listeners confidence to launch something
  2. What Is an AI Agent? Dumb vs. Smart Software

    Greg explains LLMs and agents in plain language, contrasting pre-AI dumb software that relies on manual input with smart software that has human-like intelligence. An agent goes a step further and completes a task like a human, such as closing sales leads.

    • •Pre-AI software like a CRM relied on people entering data manually
    • •An LLM injects human-like intelligence into software, for example scoring sales leads
    • •An agent is a human-like worker that completes a whole task
    • •Greg thinks AI is still underrated and that people listening are early
  3. Two Big Opportunities: Vibe-Coded SaaS and AI-Fulfilled Agencies

    Greg gives two examples of where smart software opens opportunities: cheaper vibe-coded versions of SaaS products, and agencies fulfilled by AI that undercut consulting firms. He argues that even small market share of these huge industries is worth billions.

    • •Vibe coding with tools like Replit, Bolt, Lovable and Cursor lets people prompt software into existence
    • •Build regional or cheaper versions of products like DocuSign or monday.com
    • •Even 1-2% of a billion-dollar SaaS company's revenue is huge
    • •AI can fulfil consulting and agency work at lower prices than firms like McKinsey or Accenture
  4. What Separates People Who Succeed: Curiosity and Getting Your Hands Dirty

    Calum asks what the people who build something in 6 to 12 months do differently from those who don't. Greg names curiosity and willingness to get hands dirty, and says to train on tools even when they're only 96% there.

    • •The successful group is more intellectually curious about new products
    • •Greg tells the story of a factory owner who sweeps the floors one day a year
    • •Waiting for tools to reach 100% means missing the chance to master them
    • •Using AI in your workflow makes you smarter even if you don't ship a product
    • •Calum adds that embracing the beginner's mindset is how people take advantage of new waves
  5. Global Distribution, Credit Cards and Rethinking Business School

    Greg expands on the idea that anyone can sign up for social accounts and reach billions of people who have credit cards. He argues modern business education should teach going viral, building products with AI, and pricing, and criticizes MBA programs.

    • •For You pages mean small accounts can get millions of views
    • •The three skills are creating resonant content for a niche, vibe coding a product, and getting people to pay
    • •Business school in 2025 should teach virality, AI-assisted product building and pricing
    • •Greg calls an expensive MBA a bubble and says you can't learn business without playing with tools like Replit
  6. Why Greg Dropped Out of College

    After the sponsor break, Greg tells how in 2009 he left McGill when his class taught desktop apps and Java while the App Store was about to change everything. He concluded that only assets, such as money, an audience or in-demand skills, can be relied on.

    • •In 2009 Greg saw the App Store as the next big platform shift
    • •His professor said there were no apps in the textbook
    • •A degree isn't something you can fall back on when your bank account is empty
    • •Assets can be financial, an audience, or an in-demand skill like AI coding
  7. Step 1: Identify a Painful Workflow

    Greg explains the first step of the framework, finding a tedious workflow that AI can improve, starting with his thesis about export buttons. He uses the AI ad-maker Icon as an example and says people in jobs they dislike are best placed to spot these ideas.

    • •Every export button in SaaS is a potential $1-100M AI business
    • •Greg's example is categorizing bank data for taxes
    • •Icon helps create hundreds of ads, replacing a tedious manual process
    • •A human-in-the-loop product is still valuable
    • •Audit the two or three repetitive things in your own work week
  8. Step 2: Hack V1 Fast with a Minimum Lovable Product

    Greg says to launch a minimum lovable product rather than spend months on a full product. Calum shares his failed T-shirt lines, and Greg ties perfectionism to the same fear that stops people posting on social media.

    • •Greg prefers the minimum lovable product to the minimum viable product
    • •The MLP is a foundation to iterate on, not Rome in a day
    • •Perfectionism comes from not wanting to be judged on what you ship
    • •Perfection comes from consistency and iteration
    • •What you think is ten features is usually one, and you add features one at a time
  9. Live Demo: Building a Website with v0 and Researching a Product with Manus

    Greg shares his screen for a crash course on two tools. In v0 he prompts a restaurant directory for NYC and gets a working design, then in Manus he has an agent research a pimple-patch product for older adults.

    • •v0 acts as an AI product designer you chat with like an employee
    • •One prompt produced a restaurant directory called NYC Eats, with Greg estimating a realistic site in about 24 hours
    • •Chatting with AI is a two-way conversation, not a one-off query
    • •Manus researches competitors, packaging and marketing like a team, in about 12 minutes
    • •Greg cautions about data when using a Chinese startup
  10. Steps 3 and 4: Daily Distribution and Building an Audience in 2025

    Greg argues that when tools make products cheap to create, distribution becomes the moat, and he suggests making products look different from big brands. He then walks through his ACP framework and a four-step playbook for building an audience.

    • •Many vibe-coded launches will get crickets without distribution
    • •Greg recommends an anti-Apple, chunky, colorful look
    • •ACP framework: audience first, then community, then product
    • •Pick formats, systematize with a creative faucet routine, and choose a goal like an email list instead of followers
    • •Calum notes creators double down once a post format spikes
  11. Step 4: Nailing Retention and the Core Loop

    Greg explains that many AI startups earn curiosity revenue without a real core loop, and retention shows whether people value a product daily. He recommends combining behavioral analytics with voice-of-customer feedback and uses Calendly as an example of focus.

    • •Curiosity revenue is like an impulse buy and isn't proof of value
    • •Retention means people like your product and use it every day
    • •Use both behavioral analytics and voice-of-customer questions, illustrated by the Walmart example
    • •Data should inform decisions, not drive them
    • •Calendly stayed focused on one core feature of scheduling
  12. Step 5: Partnering with Creators and DM-ing People You Admire

    Greg says that because building an audience takes time, startups can offer creators revenue shares while still building their own audience. He tells people that DMs are free to send, and that he has hired, partnered and acquired through them.

    • •Offer creators 25-50% of revenue as a win-win deal
    • •You can reduce dependence on creators over time as your own audience grows
    • •Creators are real people and many have open DMs
    • •Expect rejection, but about one in 100 DMs leads to a great conversation
    • •Greg has hired, invested and acquired companies through DMs
  13. The Selfie-Video Outreach Playbook and Closing

    Calum frames business as relationships and asks for one piece of advice for reaching people you admire. Greg tells how he got press for his startup Islands by sending 30-second selfie videos to a list of 175 journalists, and advises adding value and being different.

    • •Greg listed 175 journalists and sent each a short selfie video
    • •The ask was a meeting, not coverage of the story
    • •Put yourself in the shoes of people who are bombarded with DMs
    • •Loom or screen-share videos that add value help you stand out
    • •Calum plans to try the method to land big guests

Publisher timestamps

  1. 0:00Intro
  2. 2:07AI would change your life!
  3. 3:10What is an AI agent?
  4. 8:072 business models to create with smart software
  5. 12:19How you can build a $1M AI startup in 6 months.
  6. 17:55How to use social media to build an AI business
  7. 24:43Why he dropped out of college
  8. 28:00How to pick AI business ideas to work on.
  9. 36:39Best time to launch your product
  10. 41:47How to set up a business in 24 hours using AI agents (Live crash course)
  11. 55:29How to turn your product into a movement
  12. 57:434 step playbook to build an audience in 2025
  13. 1:02:36How to keep your users coming back
  14. 1:09:13Why you MUST focus on the core loop
  15. 1:11:10The blueprint to partner with influencers.
  16. 1:14:57How to build relationships with successful people

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