From the idea to the functioning MVP - in under 4 hours.
Our workshop „AI4RE - From vision to functional prototype" at ReConf 2026 is fully booked. So that no one goes away empty-handed, you can get the complete Workshop guide - The same prompts that our teams will use on April 27 to turn an idea into a clickable prototype.
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The guide to the AI4RE workshop, from idea to prototype.
Condensed to what really worked on April 27 in Munich - with the teams that built a prototype in four hours.
From the vision to the problem statement
Prompt templates for product vision board, personas etc. can be used directly in Claude / Gemini / ChatGPT / Copilot.
User stories, value vs. effort scoring, impact mapping
Prompts that generate INVEST-compliant user stories from an idea.
Text-to-app: the MVP in just a few minutes
Master prompts for Uizard (mockups), Google AI Studio (prototyping) or Claude Code (coding)
Idea → Prototype. Documented.
The exact workflow from our ReConf workshop. Repeatable. Applicable to any business case.
Vision & Personas
Product Vision Board (Pichler) + 3 personas from raw idea - AI-coached.
Requirements
Impact Map, Value/Effort, Story Map, User Stories + Gherkin Criteria.
Prototyping
Text-to-app generates the first clickable version of the MVP.
Validate & Iterate
Test live preview, annotate with stakeholders, iterate via voice/chat.
This is what a prompt looks like.
Each prompt follows the same structure: Context - Task - Instructions - Input. Copy-paste-ready for ChatGPT, Claude, Gemini & Co.
AI Support - Product Vision Board
Context: Senior Product Owner & Expert RE, familiar with Roman Pichler's Vision BoardTask: Interactive coach, builds complete vision board from raw idea
Instructions: Step-by-Step - Vision, Target Group, Needs, Product, Business Goals
Output: Structured Markdown table
AI Support - Personas
Context: Expert RE & UX ResearcherTask: 3 personas strictly based on vision board
Structure: Name - Quote - Needs & Goals - Pain Points - Tech-Savviness
Visuals: DALL-E portrait per persona, consistent style
AI Support - Value vs. effort scoring
Context: Objective Product Owner, PI PlanningScore: Business Value (1-10) + Effort (1-10)
Quadrants: Quick Win - Major Project - Fill-In - Time Sink
AI Support - Story & Gherkin Criteria
Template: „As a... I want... so that..."Acceptance Criteria: Given / When / Then (BDD)
+ Unhappy Path - INVEST-compliant
UX Translator - Text-to-Mockup
Context: Lead UX/UI Designer for Uizard-PromptFilter: Backend, Business Model, Monetization out
Output: 3-4 core screens + UI elements + style
You missed the original workshop. Not the material.
„AI4RE - AI in Requirements Engineering - From vision to functional prototype” with Michael Mey, Matthias Herbert & Jean Pierre Berchez. Teams go through the complete cycle - vision board, personas, impact map, user stories, mockup and executable app via Uizard, Google AI Studio & Claude Code.
What the 16 participants take away - and now you too.
- Practical AI-supported RE artifact creation
- Effective prompt strategies for creative RE processes
- Functional prototypes with text-to-app tools
- Possibilities & limits of AI in the entire RE process
- Integration of AI tools into your own RE workflow
Want to learn the whole thing in a structured way? Our IREB-certified AI-RE training.
The cheat sheet is the snack. Our AI4RE - IREB Advanced Level AI for Requirements Engineering is the main menu: official IREB curriculum, 1-2 days, certificate - and noticeably cheaper with the voucher above.
To the training → All training courses
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