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I Built a General AI Agent After School at Age 13 | Flowe AI, Michael Goldstein

This episode features Michael Goldstein, a 13-year-old founder and CEO of Flowe AI – a general AI agent that automates everyday tasks.

Michael Goldsteinguest
Jul 11, 20257mWatch on YouTube ↗

Summaries, chapters, transcripts, and FAQs on this page are made by uListen, not YouTube.

At a glance

WHAT IT’S REALLY ABOUT

A 13-year-old builds Flowe AI general agent for real tasks

  1. Michael Goldstein, a 13-year-old founder in Toronto, built Flowe AI to automate practical tasks like booking flights, canceling subscriptions, and making presentations.
  2. He started solo after developers declined to help, relying on AI tools and weekly coding lessons until he eventually recruited two developers and a strategy helper who reached out to him.
  3. He argues schools unofficially resist AI even as students widely use it—mostly ChatGPT—creating both inspiration and a knowledge gap about broader AI tooling.
  4. His age creates visibility and opportunities (viral launch, interviews, Founders Inc., AI summit invitation) but also lowers trust and makes recruiting and funding difficult.
  5. He sees browser automation and “getting things done” as a major gap in current AI platforms, and sets a long-term goal of improving reliability, adding features, and reaching $10k MRR while aiming to “give back.”

IDEAS WORTH REMEMBERING

5 ideas

Flowe’s wedge is task execution, not just answers.

Michael positions Flowe around browser-based automation (forms, subscriptions, bookings) because most mainstream AI tools students use (e.g., ChatGPT) primarily generate text rather than completing workflows.

Age can be a growth channel and a credibility hurdle at once.

Being 13 helped the launch gain attention and access to interviews and events, but he also notes people are slower to trust him and harder to convince to join the project.

Building solo is feasible when paired with AI tools and deliberate skill-building.

After initial outreach to developers failed, he used AI tools to ship an early version and added weekly coding lessons to reduce dependence on others over time.

Early monetization momentum came from hands-on user communication.

He extracted user emails, sent a discount, handled a coupon-code bug, and then saw his first Stripe sale—highlighting the unglamorous operational work behind “launch success.”

Recruiting followed proof and persistence, not upfront capital.

With little funding, he struggled to hire until the product and story attracted inbound interest, resulting in two developers and a strategy contributor reaching out first.

WORDS WORTH SAVING

5 quotes

Over the past few months, I've been building something revolutionary: a general AI agent that actually gets things done, from booking flights, to cancel subscriptions, to making presentations, Flowe can do it all.

— Michael Goldstein

Um, my name is Michael Goldstein. I'm 13 years old. Uh, I live in Toronto, Canada, and I'm the founder of Flowe AI.

— Michael Goldstein

Someone else said I should do normal, a normal kid life. But what I think is just build. Build, build, build.

— Michael Goldstein

And the disadvantages are probably, um, it's hard to get people to trust you also.

— Michael Goldstein

It happened when I was walking downstairs. Um, so I was very excited. I told all my friends and family and parents.

— Michael Goldstein

Read the available transcript
Building a general AI agentBrowser automation as an unmet gapLaunching, first sale, and early tractionAge advantages vs. trust and recruiting challengesAI use in schools and policy resistanceProduct roadmap, bugs, and reliabilityRevenue goals and long-term mission

SPEAKERS

  • Michael Goldstein

    guest

    Teen AI builder and creator of Flowe AI, discussing building a general AI agent while in school.

High quality AI-generated summary created from speaker-labeled transcript.

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