Learn and work with Jai

Skip the AI theory.

Build the working thing first. Work with Jai to turn rough ideas, customer language, and AI tools into a real page, workflow, lesson, or prototype you can show to someone who matters.

Not sure where to start? Start free. If the first build is useful, move into the smallest paid container that fits the next step.

See how Jai empowers
What mentorship sounds like Watch the judgment, not just the theory.

See how Jai empowers

The UGC is the lesson.

The faces above are the promise: people arrive with scattered ideas, half-finished projects, and AI anxiety. Jai turns that raw material into a visible next step, then keeps the proof close enough that the work can improve.

We are
filmmakersbuilderscollege studentsfounderspeople figuring out what is nextpeople with a purpose

The dogged pursuit

We have dogged pursuits.

The people who find this work are usually trying to make something meaningful before they can fully explain it. Jai helps turn that pressure into a quest with a next move.

01

Say the real thing

We start with your actual audience, constraints, and words. No fake persona theater.

02

Make the page or workflow

The idea becomes a visible artifact: a page, intake, automation, lesson, or prototype that can earn a reaction.

03

Use proof to sharpen it

Testimonials, event clips, customer language, and source code become the raw material for the next better version.

What is a dogged pursuit?

dogged pursuit

/ dawg-ed per-soot /

noun: singular

[def] A sustained, practical chase after the work you cannot stop thinking about, broken into quests small enough to move today.

What is it?

The pressure behind a purpose, project, business, film, community, or personal transformation that keeps asking for a next visible step.

What does Jai do?

Turn the pursuit into a build path: words, constraints, AI implementation, source code, proof, and a version someone can react to.

What is it made of?

Desire, implementation, reflection, feedback, craft, and a willingness to ship before the explanation feels perfect.

How Jai helps

How does Jai help?

There is already too much going on. The point is not to add more AI theory; it is to make the pursuit small enough to test.

Clarify the dogged pursuit you are already circling.

Break the work into small visible quests.

Use AI to make the next artifact, not to bury you in more theory.

How can I work with Jai?

Five ways the pursuit turns into practice.

Contemplative Mentorship

Slow down enough to hear the real desire, then turn it into a practical build path.

Deep Education and Execution

Learn the concept, watch the implementation, and leave with the working artifact.

Deep Exploration

Use AI, conversation, and source material to find the shape of the project before overbuilding.

SideQuest Challenges

Small quests that make personal or business development visible, playful, and repeatable.

AI Native Canvas

A creative-director workflow for shaping an AI project while the technical build comes to life.

Go Up a Notch with AI

Learn the strategies and cheat codes Jai uses to build with AI.

This is the practical bridge between watching the work and doing the work: a focused community for people who want useful AI skills without waiting for a perfect course.

  • AI strategies and cheat codes from a real product engineer
  • Practical skills for marketing, advertising, content, engineering, and holistic AI use
  • Examples you can adapt instead of theory you have to decode alone
Join the Skillshare community
Free and practical series

Watch how the build gets made before you join.

Dogged Pursuits is the working feed: product engineering decisions, AI shortcuts, GTM experiments, and the raw clips behind the next workshop.

See Dogged Pursuits

Join the Skillshare community

Get the exact skills Jai is using.

A one-time $200 community for marketing, advertising, content, engineering, and holistic AI practice. It replaces passive course consumption with visible reps, teardown threads, and prompts you can ship from.

Join for $200
01 Watch the move

Jai explains the strategy behind a real AI build.

02 Copy the workflow

Prompts, tools, and teardown notes turn the lesson into reps.

03 Ship your version

The community makes the work visible enough to improve.

How people work with Jai

Choose the smallest container that will make you ship.

First AI build

Start with Let AI Handle It when you want a practical crash course before a bigger container.

Community and accountability

Choose Go Up a Notch when you need steady reps, taste, and peer pressure around real outputs.

Ongoing build partner

Apply for the incubator when the work needs monthly judgment, source access, and strategic pressure.

Start here

Let AI Handle It

A practical crash course that teaches the strategy of what to do with AI and the exact steps to get state-of-the-art AI running on your own computer.

$49 Crash course
  • Know when to use AI, what to delegate, and what to keep human
  • Install and run the strongest current tools on your machine
  • Leave with a workflow you can repeat before joining a deeper container
Join the crash course

Community

Join Skill/Share

Join the Skillshare community and get the exact skills Jai is using for marketing, advertising, content, engineering, and holistic AI work.

$200 One-time Skillshare community
  • Weekly prompts, examples, and implementation threads
  • Teardowns of real pages, workflows, and launch assets
  • Peer visibility so momentum does not disappear after class
Join the community

Builder container

Jai's Incubator

For founders, operators, creators, and teams who want to keep shipping with Jai close enough to pressure-test the work.

Application Monthly check-ins plus source access
  • Monthly implementation reviews and priority-setting
  • Access to Jai's real working source code, templates, and examples
  • Offer, page, workflow, and proof-system feedback as you build
Apply to work with Jai

What is the incubator?

Jai's Incubator turns the AI project into a business.

You act as creative director on an AI project while Jai brings product engineering judgment, working code, and monthly feedback loops to the build.

The container follows the AI Native Canvas: Jai listens for the offer, designs the project shape, records the walkthroughs, shares source access, and keeps the business outcome close enough that the artifact can become something sellable.

Apply now
01

Jai interviews you about what you want to create and why it should exist.

02

You get a monthly email check-in to keep the project honest.

03

You receive a video showing what the application is doing.

04

You get source-code access to the real working project.

05

You give feedback as the project comes to life.

06

You pass the technical implementation to a real engineer without losing creative control.

See yourself in the proof

First watch the people. Then look at what changed.

01 Can this help someone like me?

Watch people name the shift in their own words before you read any numbers.

02 What changed?

Case studies show the artifact, business process, or confidence move that followed.

03 What could I do next?

The testimonials point back to a smaller next build, not a vague transformation claim.

300+ learners and builders given practical AI help Jai Loom direction
9 video stories you can watch Senja review inventory
4 case studies showing business outcomes Case study archive
1 visible artifact before more theory Skip the AI Theory flow
Build the artifact $30,000+ traditional build avoided

From three months to a global-ready platform in 35 minutes

Yves Dikoume
Save operational time 85% reduction in new-hire onboarding time

How a real estate leader reclaimed 15+ hours a week

Seema Kothari
Find the next move Saved thousands in copywriting and design fees

From overwhelm to a complete AI-built business platform

Martine Dardignac

From scattered AI courses to feeling empowered

Prior to taking this class, I was taking courses here, there, everywhere, but nothing seemed to stick. This class really has changed my mindset. I feel like I am empowered.
Toya QEDC Student

Saw what was possible for a real practice

You don't know what you don't know until someone comes along and teaches you what the possibilities are. I can't thank Jai enough for opening my eyes to what's possible with AI.
Samina Quraishi Owner / Doctor of Acupuncture

From stalled idea to first successful event

I had dream that everyone was telling me to give up on when I started working with Jai. Two and half years of work and nothing to show for it. Three months later, I threw my first successful event.
Nick Stebenne Founder, Marketito
Jai Bhagat

Hi, I’m Jai

Product engineer, instructional designer, and build-in-public guide.

I help people use AI to make the next version of their work visible. Sometimes that means a page. Sometimes it is a workflow, a mini-game, a course, a prototype, or a better way to explain what they are building.

The common thread is practical execution with enough reflection to keep the work human. I bring the taste of an instructional designer, the speed of a product engineer, and access to film-studio-level storytelling when the work needs to be seen.

I am excited to help you do the same.

Upcoming Events

Live workshops where the AI work happens in public.

The Luma calendar is where Jai advertises the live sessions: Claude Code workshops, AI setup sessions, and implementation labs where you can watch the strategy turn into steps.

Next visible version

Bring the rough direction. Leave with the next visible version.

Tell Jai what you want to build