Twinly
Creator AI examples

AI mentor

Mark Manson built an AI product around trust.

Mark Manson turned self-improvement content into a guided mentor that can challenge people one conversation at a time.

Product
Purpose
Public pricing
$19.99/mo or $149.99/yr
Audience signal
Reported ~50K users
Traction signal
About one in four users reportedly pay for premium.

Why this matters

The play is not the bot. The play is a new product surface.

Books and essays are powerful, but they cannot adapt to each reader's exact situation. Purpose uses AI to make the self-improvement experience personal, reflective, and repeatable.

For creators, this is powerful because it turns archived trust into active value. The audience does not only watch, listen, or read. They can ask, compare, decide, and buy with your thinking beside them.

What it does

  • Acts like a focused mentor for decisions, goals, and emotional clarity.
  • Applies Mark's direct self-help lens to individual conversations.
  • Creates a mobile product people can use daily instead of only reading passively.

How it can monetize

  • A subscription gives the creator a new revenue stream beyond books, ads, and courses.
  • Personalization increases the perceived value of existing ideas.
  • The product can deepen loyalty because users feel helped, not just reached.

Smaller creator takeaway

You can use the same strategy before you are famous.

If your content already helps people make decisions, a twin can turn passive fans into active users. The value is not fame; it is specificity.

Disclosure: Twinly does not directly work with Mark Manson. This page uses their public AI product as an example of an established creator monetizing an AI version of their expertise. No affiliation, sponsorship, or endorsement is implied.

Borja, founder of Twinly
A note from the founder

Stop being the bottleneck.

If you've scrolled this far, you're either skeptical or sold. Both are fine.

Here's what I've learned after a year of building this: most creators don't need another abstract AI pitch. They need to feel what their own twin could do with the content they've already put into the world.

That's why, for a limited time, we're doing the first step before the call. Send the public links, we build the rough MVP, and you try the worst version it will ever be.

If that rough version already feels useful, the path becomes obvious: we create the 10x version, tune voice and refusals, plan the launch, connect the right platforms, and turn it into something your audience can actually buy and use.

This quarter: 4 of 8 client spots are already claimed. If it looks like a fit, we'll prepare your first version before the demo so the call is about your actual twin.

Either way, I appreciate you reading.

Borja
Get my first twinBook demo4 Q2 client spots left · quote after you try it