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Jai Bhagat / The person making this bet

I won an NVIDIA hackathon with friends.

Now I'm building a school where people turn imagination into applications. I like being at the whiteboard, imagining with someone. Teaching is how I make room for others to do that too.

Learn with meHow I got here
NVIDIAA hackathon win with friends
Since 2022Teaching and mentoring
MacBooks + GB10Tools to build and learn with
Conscious ComputeTeaching what I'm building

Care came before the hardware

A call from your
future self.

Our hackathon idea was a supportive call from your future self. I teamed up with former Cityblock coworkers in New York. We called ourselves American Exceptionalism.

NVIDIA, MongoDB and Dell hosted the event. The Dell Pro Max with GB10 we won expanded what I could build with my MacBooks. Care and teaching were already part of my life. The prize gave me more means to continue.

In 2022, I started my business with a virtual conference and mentoring. Lectures and community workshops followed. In 2025, trying to build an AI business exposed gaps in my understanding of inference infrastructure. Coding agents helped me build again. I began teaching live workshops around what I was learning.

Jai speaking about making a useful project with AIJai's Dogged Pursuits conversation and teaching photographs

One expression of the idea

A minute about the future we're imagining.

60 seconds
Conscious Compute. A future we have a stake in. A 60-second film in progress.The film is being prepared for public viewing.

A film in progress. The school is the larger work.

The concept

America can build extraordinary AI and still fail to build a future its people have a stake in. The school is my response.

The inspiration

A caring idea made with friends, years of teaching, and the stories people have used to imagine a life worth living.

The significance

Making the film exposed the same problem we want to teach: AI can produce something faster than we learn to judge it.

Build shared context for your own team
Read the film's narration and visual context

Draft text alternative from the current narration script and edit record. It does not replace the independent sound and picture review.

Our idea was a call from your future self, helping you keep going. That's what I love about teaching and building: imagination becoming useful to someone.

The prize gave me tools to keep building. America can build extraordinary AI and still fail to build a future its people have a stake in.

I'm building Dharmic Data. A school where people get paid to learn by building for their communities. Time to learn. Teachers beside you.

My bet is that a generation can become builders, owners and stewards of our AI future.

Visual context: historical printing, Jai’s own imagery, a generated future-self call concept, an illustrative community classroom, the literature project and a NASA view of America at night. These images do not document an operating paid cohort or a clinical outcome.

A school imagined with others

A future we have
a stake in.

I'm a first-generation American born in the Bronx, with Gujarati and Dharmic roots. My traditions and chosen teachers inform how I approach the work. You do not need to share my beliefs to belong here.

Dharmic Data is the emerging school. Conscious Compute is its signature workshop series. My bet is to pay a generation to become builders, owners and stewards of their communities' AI future, with protected learning time and deep human mentorship.

A good teacher can change the course of someone's life. A great teacher can change the course of an entire civilization. That is the belief I want to put into practice.

Explore the schoolRead the build stories