What it does
- Adds unlimited AI coaching inside a paid membership.
- Gives members a private place to process questions and emotions.
- Makes the broader Gabby ecosystem feel more connected.
Creator AI examples
Spiritual coaching
Gabby Bernstein built an AI product around trust.
Gabby Bernstein uses AI to make a coaching membership feel more personal, supportive, and always-on.
Product
Gabby AI
Public pricing
$199/yr membership
Audience signal
Millions reached
Traction signal
Gabby AI is included inside her coaching membership.
Why this matters
The play is not the bot. The play is a new product surface.
Spiritual and emotional coaching is relationship-driven. Gabby AI gives members a familiar voice for reflection and support when they are not inside a class or live session.
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.
How it can monetize
- AI can raise the perceived value of an existing membership.
- It gives buyers a reason to choose the paid app instead of only consuming free content.
- It creates more moments where the audience experiences the creator's value directly.
Smaller creator takeaway
You can use the same strategy before you are famous.
For smaller membership owners, a twin can be the extra support layer that makes the subscription feel worth keeping.
Disclosure: Twinly does not directly work with Gabby Bernstein. 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.
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