What it does
- Lets followers ask for guidance in David's coaching style.
- Expands access beyond private coaching capacity.
- Creates a flexible payment model around perceived value.
Creator AI examples
Spiritual and business coaching
David Ghiyam built an AI product around trust.
David Ghiyam uses AI to scale coaching moments that would otherwise depend entirely on direct access.
Product
David AI
Public pricing
Pay what feels right
Audience signal
1M+ messages reported
Traction signal
Official bio cites 20K+ coaching hours.
Why this matters
The play is not the bot. The play is a new product surface.
His audience comes for guidance across spirituality, manifestation, business, and relationships. David AI turns those recurring questions into a scalable paid experience.
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
- Pay-what-feels-right lowers friction while still monetizing demand.
- AI access turns coaching IP into a self-serve product.
- The experience can support both casual users and deeper buyers.
Smaller creator takeaway
You can use the same strategy before you are famous.
If your audience already asks you for personal advice, a twin can absorb the repeat questions while preserving your energy for the highest-leverage work.
Disclosure: Twinly does not directly work with David Ghiyam. 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