November round: enrollment closes October 15. $499 · capped at 10 builders.

Join the cohort

Six-week education and coaching cohort

Don’t just demo it. Deliver it.

Bring one real problem and take it through discovery, scope, build, verification, release, and handoff, with a written review from a senior software engineer at every gate.

  • One narrowly scoped AI product or workflow, not a pile of tutorials.
  • Released to a real user or stakeholder, not just demoed.
  • Evidence that it solves the problem, works as intended, and can be maintained.
Join the founding cohort

November round · enrollment closes October 15 · $499 paid in full · 6–8 hours a week · capped at 10 builders

David Yu, who leads Capstone
David YuFutureman Labs

Bring one real problem. Leave with a reviewed release.

Read this before you join

This works when the problem is real.

This is for you if

  • You have a specific problem, workflow, spreadsheet, or prototype in mind.
  • You can reach at least five prospective users, or one real stakeholder.
  • You can commit 6 to 8 focused hours a week for six weeks.
  • You are willing to use development tools, debug, interview users, and show unfinished work.

This is not for you if

  • You want passive video lessons.
  • You want someone to build it for you.
  • You want guaranteed customers, a job, or income.
  • You want an unconstrained “build anything” experience.
  • Your project involves health, credit, legal advice, hiring decisions, or sensitive personal data. Not in the founding cohort.

6weeks

10builders max

3written reviews

1real release

The backstory

Starting got easy.
Finishing did not.

One founder I work with.

The automations. He automated his own operation for years, one flow at a time, each one solving that week’s problem. Together they hardened into a machine nobody could safely touch: change one piece and three others broke. By the time I met him the technical debt had the whole business strangled, and I have been dismantling it with him piece by piece, replacing it with a system his team runs on the floor every day.

He had the logic of his business completely worked out before I met him. What was missing was the built thing. Capstone exists for the founder at that exact point.

The Capstone delivery system

One method, applied to your project

AI made prototypes easy. The hard part is everything between a promising demo and something another person can trust and use. That is what I teach.

01

Choose

Find a problem worth solving: five user conversations, a value hypothesis, and a written kill-or-commit decision.

02

Cut

Reduce it to a valuable six-week vertical slice, with acceptance criteria, a backlog, and explicit non-goals.

03

Build

Use AI to write the code without handing it your technical judgment: version history, tests, and safe data handling.

04

Prove

Verify the workflow with realistic data and watch at least three real people use it.

05

Release

Deploy it, or complete a real handoff to your stakeholder.

06

Validate

Ask for payment, adoption, approval, or another concrete commitment. A documented “no” counts as evidence.

Six weekly gates

Six weeks, itemized.

Every week: one 75–90 minute education and build lab, one 60-minute office-hours clinic, a short pod check-in, and one visible milestone. The rest is your own build time. Sessions are recorded.

  1. Get ready. Supported stack, repository basics, data and cost constraints. Readiness clinic and pod matching.

  2. Choose the problem. Five conversations or observations, a one-page brief, and a kill-or-commit decision. Review 1: problem and scope.

  3. Cut scope. Story map, Definition of Done, prioritized backlog, decision log, and your first runnable slice. Live scope teardown.

  4. Build and verify. The core flow on realistic data, with verification evidence and an updated risk register. Review 2: working slice.

  5. Release to reality. A live environment, three observed user sessions, and an issue log. Release clinic and missed-milestone rescue.

  6. Test value. A priced offer, pilot request, adoption request, or before-and-after measure. Review 3: release, value test, and handoff.

  7. Deliver and hand off. Evidence pack, handoff README, demo, retrospective, and a thirty-day plan. Demo Day.

Weeks one and two go to problem choice and scope on purpose. That is the skill that stops a project stalling at 80 percent.

The graduation standard

Capstone Done.

You graduate on evidence, not attendance. Graduation does not require revenue. It does require proof from outside the cohort.

  • One complete end-to-end workflow, shipped.
  • Version history or another documented build trail.
  • Acceptance criteria defined and checked.
  • Tested with at least three real users or stakeholders.
  • Defects, limitations, and unresolved risks written down.
  • Deployed, or handed off to a real stakeholder.
  • One ethical offer made, or one concrete commitment requested.
  • A demo, an evidence pack, and a thirty-day plan.

Client work

I do this work in the real world.

What a client says about the delivery work behind this cohort.

“They exceeded all expectations. They are true experts in this field, delivering high-quality work with precision and efficiency.”
KevinUnited States

This quote is from client delivery work, not from a cohort graduate: cohort one has not run yet, and its results will be here when they exist.

Education and coaching

This is not me
building it for you.

I teach the delivery method, then coach you through applying it to your project. You make the decisions and build the product. I review your scope, challenge your assumptions, inspect the evidence, and help you get unstuck.

That means three written reviews at the gates that matter, weekly office hours, and an async blocker channel with a stated response window. It does not mean unlimited one-to-one time, me taking over your repository, custom integrations, or a production warranty.

This is education and coaching. I do not build the product for you, promise a job, promise customers, or promise income.

And six weeks will not turn you into an engineer. It will take one real project out of the demo stage and teach you the way of working that got it there.

Where Capstone fits

Free, cohort, or partnership

Knowledge and community stay free. The cohort sells deadlines, review, and accountability. The partnership is for problems that need me hands-on.

Free

Cohort Camp community

Starter lessons, templates, demos, community Q&A, coworking, and challenges. Explore, find a problem, meet peers. No individual review or graduation. Join the free community →

$499

AI Delivery Capstone

One standardized delivery cycle with practitioner feedback: six-week curriculum, pods, build lab, office hours, three written gate reviews, Demo Day, and evidence-based graduation. You build. Join the cohort →

$4,000

Implementation Partnership

For consequential, context-specific production problems: a private roadmap, custom architecture, stakeholder facilitation, and hands-on implementation. Selective and individually scoped. Ask about it →

Founding cohort

Six weeks to deliver it.

November round · Enrollment closes October 15 · Capped at 10 builders · Live and recorded

$499

Paid in full. Enrollment and payment happen on Cohort Camp, where the cohort’s lessons, pods, and Demo Day live.

Full refund through the end of week one, once you have attended onboarding, submitted your problem brief, and completed the readiness conversation. After that, you can transfer once to the next cohort.

The round runs if at least 8 people join. If it doesn’t fill by the deadline, it’s cancelled and you choose: a full refund or a place in the next round.

Join the founding cohort

Third-party tool and API costs are separate and disclosed during the readiness week.

Your cohort lead

Built by someone who finishes the awkward projects.

David Yu has more than a decade of senior engineering experience. At Futureman Labs he builds internal tools, automations, and client systems that have to hold up after the demo.

You are getting his real delivery process: narrow the problem, build the smallest useful version, test it in context, and keep going until people use it.

Q&A

Questions

Do I need to know how to code?

No professional coding background is required. Expect technical setup, debugging, and guided work in development tools. You drive the build with AI; I teach and review.

Is this a course?

It is education plus coaching. There is a curriculum and every session is recorded, but the point is applying the method to one real project and graduating on evidence, not watching videos.

What if I haven’t started building yet?

That is fine, as long as you have a specific problem and can reach at least five prospective users or one real stakeholder. Weeks one and two are about choosing and cutting the problem.

What kind of project can I bring?

A small product or micro-SaaS, a fixed-scope client pilot, an internal workflow or operational tool, or a portfolio or public-good product with real external users. One project per participant.

How much time does it take each week?

Plan for 6 to 8 focused hours: the build lab, the office-hours clinic, a short pod check-in, and your own build time.

Will I make money from this?

Maybe, but I do not promise it. Every participant makes one ethical offer or asks for a concrete commitment. Revenue is useful evidence, never a requirement to graduate, and never guaranteed.

What happens after six weeks?

You keep the release, the evidence pack, and a thirty-day plan, plus continued access to the free Cohort Camp community. If your next milestone needs custom architecture or hands-on work, that is what the Implementation Partnership is for.

Can I get a refund?

Yes, in full through the end of the first week, once you have attended onboarding, submitted your problem brief, and completed the readiness conversation. After that, you can transfer once to the next cohort.

Last call

Don’t just demo it. Deliver it.

Bring one real problem. Leave with a reviewed release and the evidence behind it.

Join the founding cohort