Overview
Product discovery requires rapid experimentation. But building prototypes traditionally requires engineering resources and technical expertise that slow down exploration. AI prototyping tools have changed this dynamic, enabling non-technical professionals to create functional prototypes that accelerate product decision-making.
This intensive workshop teaches business analysts, product managers and designers how to use AI prototyping tools effectively. The focus is on building technical confidence, developing resilient workflows and applying AI in ways that accelerate product exploration without requiring you to become a developer.
Through hands-on exercises, you'll learn vibe coding techniques for rapid prototyping, Spec Driven Development approaches that clarify requirements and ideation techniques enhanced by AI capabilities. We'll also cover quality assurance patterns that ensure your prototypes are reliable enough to inform product decisions.
By the end of this workshop, you'll have practical skills, working examples and the confidence to use AI prototyping tools as part of your product development workflow. This is about empowerment - giving product professionals the ability to explore ideas rapidly without waiting for engineering resources.
Outline
Introduction to AI prototyping
- Why AI prototyping matters for product professionals
- Overview of tools and capabilities
- Setting realistic expectations
- Building technical confidence
Fundamentals of vibe coding
- Natural language descriptions for prototyping
- Iterating through conversation
- Working within tool limitations
Spec Driven Development
- Writing clear specifications
- Structuring requirements effectively
- Breaking complex ideas into pieces
- Using examples and references
Effective prompting for prototyping
- Crafting prompts for UI/UX generation
- Describing functionality and behaviour
- Common patterns and troubleshooting
Working with generated code
- Understanding outputs without developer expertise
- Safe modifications and iterations
- Version control basics
- Sharing and collaboration
Rapid ideation with AI
- Brainstorming and generating variations
- Exploring edge cases
- Stress-testing ideas through prototyping
Building interactive prototypes
- Creating clickable prototypes
- Adding interactivity and flows
- Simulating dynamic behaviour
- Responsive design and accessibility
Quality Assurance for prototypes
- Testing and verification
- Identifying common issues
- Cross-browser considerations
- Documentation and limitations
Safe prototyping practices
- Data sanitisation for prototypes
- Tool selection based on privacy requirements
- When to use sanitised vs real data
- Enterprise vs free tool considerations
Collaboration and engineering handoff
- Transitioning prototypes to specifications
- What engineering teams need from handoffs
- Managing expectations between prototype and production
- Documentation practices
- Communicating insights effectively
AI prototyping tools landscape
- Comparing major tools
- Specialised use cases
- Privacy and security considerations
- Organisational selection criteria
Advanced prototyping techniques
- Multi-page applications
- Form handling and validation
- API integration basics
- Animation and transitions
- Working with design systems
Building resilient workflows
- Establishing regular practices
- Cross-functional collaboration
- Knowledge sharing
- Continuous learning
- Measuring effectiveness
Integrating into product workflow
- Stakeholder communication
- User testing and research applications
- Prototype lifecycle management
- Learning and iteration
Requirements
This course is designed for business analysts, product managers, product designers and other non-technical roles involved in product development. No coding experience or technical background is required - the course is specifically designed for professionals without development expertise.
Participants should bring laptops with modern web browsers. Access to AI tools like ChatGPT, Claude or specialised prototyping tools is beneficial but not required - we can provide access for the duration of the workshop.
Bringing examples of product ideas, features or concepts you'd like to prototype significantly enhances the practical value of the course. The most effective learning comes from applying these techniques to real product challenges from your work.
Familiarity with basic product management or design concepts is helpful but not required. The course focuses on practical application rather than product theory.