No Code Product Building: From Idea to Product-Market Fit with AI
Go from idea to working product without a technical team. Marily Nika teaches the product development process, shows how AI replaces work you would otherwise hire for, and gives you a practical path to a working prototype with real user feedback.
- Beginner
- 13 lessons
- 1 hr 38 min
- Taught by Marily Nika
What you'll learn
- Validate Real Demand Use AI-assisted research and real user conversations to identify pain points, willingness to pay, and product signals before building.
- Define Focused Requirements Turn validated insights into a prioritized PRD that clarifies users, use cases, success metrics, and the smallest valuable feature set.
- Review With AI Agents Set up product, customer, engineering, and risk reviewers to pressure-test assumptions, scope, privacy, feasibility, and overpromising.
- Prototype From Evidence Generate and refine UI concepts from product requirements, then move selected screens into the right no-code or AI builder.
- Separate Prototype From MVP Use clickable prototypes to gather evidence while defining MVP tests around desirability, feasibility, business viability, and the riskiest assumption.
- Measure Product Quality Create rubrics and evaluation loops that score AI outputs for relevance, groundedness, completeness, safety, and hallucination risk.
Lessons 13 lessons · 1 hr 38 min
Every lesson comes with Pro, $29 a month.
AI Product Validation Workflow
- Lesson 1: Introduction and Personal Background 6 min
- Lesson 2: Why AI Products Need Real User Value 11 min
- Lesson 3: Finding Product Signals with Perplexity and Reddit 11 min
- Lesson 4: Generating a PRD with AI 12 min
- Lesson 5: Using Agents to Review and Improve the PRD 7 min
- Lesson 6: From PRD to UI Prototyping with Stitch 6 min
PRD to Working Prototype
- Lesson 7: Using Stitch to Generate App Designs 6 min
- Lesson 8: Iterating on Kid-Friendly UI Variants 6 min
- Lesson 9: Exporting Designs into AI Studio and Other Builders 6 min
- Lesson 10: Strategy Lessons: Feature Bloat, Adaptation, and Use Cases 7 min
- Lesson 11: Building Prototypes vs. MVPs 7 min
- Lesson 12: Evaluations, Rubrics, and Quality Hill Climbing 8 min
- Lesson 13: Defining MVPs for Real Products 6 min
Your teacher
Marily Nika
Founder of AI Product Academy
Marily Nika is the founder of the AI Product Academy, which certifies AI product managers. She spent over 12 years building AI products at Google and Meta, holds a PhD in machine learning from Imperial College London, and is a best-selling author, TED AI speaker, and fellow at Harvard Business School. She writes about AI in the AI Product Academy Newsletter on Substack.