AI TRAINING
Lovable & Bolt.new for Rapid Prototyping
Go from product idea to clickable working app without writing a single line of code.
What it covers
This hands-on workshop teaches product managers, founders, and non-engineers how to use Lovable and Bolt.new to build functional app prototypes in hours. Participants learn prompt engineering for UI generation, how to iterate visually, and how to structure handoff artefacts for engineering teams. The format combines live demos, guided builds, and peer critique sessions. By the end, every participant has shipped at least one working prototype from scratch.
What you'll be able to do
- Build a fully navigable multi-page app prototype using Lovable or Bolt.new from a plain-language prompt
- Write structured generation prompts that produce consistent, usable UI components on the first or second attempt
- Iterate on a prototype through at least three feedback cycles without breaking existing functionality
- Prepare a handoff document that includes annotated screens, data model assumptions, and API requirements for an engineering team
- Evaluate which prototype features are production-ready versus which require engineering rebuild
Topics covered
- Introduction to AI-assisted app generation: Lovable vs Bolt.new feature comparison
- Prompt engineering for UI and logic: writing effective generation prompts
- Iterating on generated code: visual editing and prompt refinement loops
- Connecting to backend services and APIs without code
- Managing scope creep in AI-generated prototypes
- Exporting and structuring handoff artefacts for engineering teams
- Version control basics for non-engineers (GitHub integration)
- When to stop prototyping and when to hand off to engineering
Delivery
Delivered as a one- or two-day in-person or remote workshop. Each participant works on their own laptop with a Lovable and/or Bolt.new account (free tier sufficient for day one). The session is approximately 70% hands-on building and 30% instruction and critique. A shared Figma or Notion template for handoff documentation is provided. Remote delivery uses breakout rooms for peer critique. Follow-up async channel (Slack or Discord) is recommended for continued iteration support.
What makes it work
- Starting each build session with a one-paragraph product brief that constrains scope before opening the tool
- Scheduling a structured handoff review with at least one engineer within 48 hours of completing the prototype
- Using version snapshots or GitHub commits at each major iteration milestone to enable safe rollback
- Running at least one usability test on the prototype before handoff to validate core flows
Common mistakes
- Treating the AI-generated prototype as production-ready code and skipping engineering review entirely
- Writing vague or ambiguous prompts that produce generic UIs, then iterating endlessly without a structured prompt strategy
- Overloading a single prototype with too many features, causing generated code to become unmanageable
- Failing to document assumptions baked into the prototype, leaving engineering teams to reverse-engineer intent
When NOT to take this
This workshop is the wrong fit for teams where an engineer will own the prototype from day one — in that case a standard React or Next.js prototyping workflow is faster and produces cleaner handoff artefacts without the AI abstraction layer.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.