AI MVP building practice exercise for product managers

What is the challenge scenario?

Shipping a real product with AI is not about generating a mock, the bootcamp is explicit on this point, it is about real data, real logic, and a thing users can actually use. The discipline separating a launched MVP from an abandoned demo is scope: build the smallest version that delivers the core value, then iterate from there.

The exercise moves you through the full build loop on your own idea in one sitting: scope, prototype, add backend logic and an integration, then launch, so you leave with a working product and a prompt library instead of another unfinished prototype sitting in a folder.

Builders Camp rates this challenge intermediate difficulty and lists it at 120 minutes, the second longest exercise in this batch, since it covers the full path from a blank idea to a live link rather than a single stage of the build.

What are you asked to do?

Describe your product idea, then cut it to the one core flow that delivers value, naming the single thing a user must be able to do, with everything else pushed to later. Use an AI building tool to create a usable interface for that core flow, iterating until a stranger could use it, and note your most effective prompt. Add real persistence, the actual business rules, and real rather than placeholder data. Wire one meaningful integration, an LLM call, authentication, or payments, and record what it made possible for the user. Launch by sharing the live link with at least one real user, then write your iteration plan: the first piece of feedback you got, what you would build next, and which prompt patterns are worth reusing.

What does a strong answer cover?

This bootcamp does not publish a rubric for its practical challenge, so check your own draft against the curriculum's own questions instead of a worked solution:

• Does the MVP scope cut down to one core flow, rather than trying to build the whole original idea?
• Does the build include real persistence and business logic, not a mock running on placeholder data?
• Does the chosen integration make the product functional for a real user, rather than only impressive in a demo?
• Did the launch reach at least one real user, with actual feedback recorded rather than assumed?
• Does the iteration plan name a specific next build and a reusable prompt pattern, rather than a general intention to keep improving?

Skills this exercise practises

Scoping an idea down to its smallest shippable core, prototyping a usable interface with an AI building tool, adding real backend logic instead of a mock, wiring a functional integration, and shipping to a real user with a concrete next iteration.

Which bootcamp does this challenge come from?

This is the practical challenge from Using AI to Build Your First Product, Builders Camp's two week bootcamp on designing, prototyping and shipping a real product with Claude Code and AI assisted building workflows, led by Andre Albuquerque across four 120 minute live sessions. Completing it counts toward that bootcamp's certificate. The build a SaaS with AI as a solo founder and how to build an MVP as a solo founder guides both cover the same build discipline in more depth, and how to build and ship an MVP with Replit is useful if that is your build tool of choice. The vibe coding practice exercise elsewhere in this series practises fixing and shipping someone else's half built AI generated product under a deadline.

Builders Camp runs live and self paced bootcamps in product management and AI product building. See the Using AI to Build Your First Product bootcamp for current cohort dates and the full self paced curriculum.