Building MVPs with AI
391 pages | 5 parts | 18 chapters
Develop the strategy for defining, scoping, creating, and learning from an AI-assisted MVP.
Explore the Book
MVP Design
Design the smallest credible solution that can teach you something important
Learn to create a focused MVP that is coherent enough for real people to use or evaluate and small enough to protect the learning objective.
Your professional outcome
Build capability around a clear goal
A useful MVP is not simply a lower-quality first release. It is an intentional test. This Path helps you define the question, protect the essential user journey, and create evidence before broader investment.
Why this Path matters
Give your next move a stronger foundation
AI can produce more features quickly, which makes scope discipline harder. If the MVP tries to prove everything, it may answer nothing. If the experience is confusing, the evidence can be misleading.
You are building the ability to design a buildable, usable MVP around a specific uncertainty.
What you learn
Turn understanding into action
Define the question the MVP must answer.
Identify the essential user journey.
Choose what to include, simulate, postpone, or remove.
Design a clear interface for the test.
Set appropriate expectations for AI behavior.
Define the evidence and feedback needed after use.
Avoid premature scale and unnecessary architecture.
The Books in this Path
Connected foundations. One professional outcome
Build depth in each subject, then connect what you learn through MVP Design.
UX/UI Design Fundamentals
331 pages | 5 parts | 16 chapters
Make the MVP understandable and usable enough to produce credible feedback.
Explore the BookHow the Books connect
Stronger together
MVP discipline focuses the learning goal. UX/UI fundamentals make the test valid for real users. Together they help you distinguish weakness in the idea from confusion created by poor experience design.
Who this Path is for
Bring your context to the learning
Builders, designers, founders, consultants, product professionals, and non-programmers preparing to direct AI coding agents.
Professional applications
Put it to work
- Prototype an AI assistant for one workflow.
- Create a client proof of concept.
- Test whether users trust an AI recommendation.
- Scope an internal tool pilot.
- Reduce a complex idea to one complete journey.
Career connection
Part of a larger professional capability
The Path is the direct bridge from DESIGN to BUILD. It gives implementation a disciplined scope and gives LAUNCH a clear evidence objective.
Explore the CareerYour transformation
Learn before you scale
You should be able to define the essential experience, explain what the MVP is meant to prove, and prepare a focused plan for building and evaluating it.
Our Methodology
A clear progression from learning individual skills (books) to building complex abilities (learning paths and academies) and an entire career around them.
A group of books builds learning paths; a group of learning paths builds Academies; and a group of Academies builds the AI Strategist & Builder Career.
- Books
Learn a specific skill or topic
- Learning Paths
Achieve a specific goal
- Academies
Master a specialty
- Career
Become an AI Strategist & Builder
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