Many teams have ideas, but they lose time between gut feelings, vague requirements, and lengthy alignment meetings. In this workshop, I demonstrate live how we use Artificial Intelligence to drastically shorten the path from idea to prototype.
Agenda#
1. Sharpen the Problem#
Translate an idea into a clear problem statement, target audience definition, and success criteria. Instead of vague notions, concrete, testable hypotheses emerge.
2. Generate Requirements#
Create testable requirements (user stories, acceptance criteria, edge cases) and prioritize them into a small, buildable-today scope. AI helps structure and challenge the requirements.
3. Build the Prototype#
Build a clickable prototype of a digital product (flow, screens, copy, data mocks) and run a quick reality check.
Interactive Elements#
- Live poll to select an audience use case
- Mini exercise with a decision canvas
- 2-minute peer review of requirements with the audience
AI as Co-Builder#
AI in this workshop is not an oracle delivering finished answers. It is a co-builder that helps iterate faster, uncover blind spots, and transform ideas into tangible results. You leave with a prototype and a concrete plan for the next 7 days.