Prototyping at the speed of thought: AI as a discovery accelerator
summary
A recruitment SaaS use case goes from messy problem to user‑tested solution under five business days by using Figma Make to generate a high‑fidelity prototype (first render in ~6 minutes, two hours of prompting to refine) and running five user tests to surface trust and usability gaps. The team uses the FOREST AI Readiness Framework to assess data, architecture, operating model and human‑AI UX, producing clear next steps and measurable adoption criteria.
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chapters (7)
- 0:00AI prototyping introduction
- 1:57Speed as discovery accelerator
- 8:19AI prototyping demo
- 14:40Speed to sustainable advantage
- 16:03AI readiness engine
- 19:15Human AI adoption
- 22:35Closing and sprint
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