The AI-accelerated workflow.
Moving beyond experimentation to integrated daily use. A case study with Defra / Marine Management Organisation.
"This workflow compresses weeks of discovery and coding into days, enabling rapid iteration."
The Workflow
User journey design
Using Gemini to synthesize inputs - including SME interviews, legacy screenshots, and policy docs - into coherent user journeys.
Feedback analysis
User feedback recorded, transcribed, PII redacted and then efficiently analysed in Gemini Pro for actionable insights.
Rapid prototyping
Building complex interactive prototypes much faster with the assistance of Cursor and Claude.
Prototype as source of truth
Replacing static documentation. BAs use the prototype to define acceptance criteria during refinement, while engineers reference the logic for faster production builds.
Automated documentation
Using GitHub Copilot to auto-generate comprehensive commit messages and PR descriptions, ensuring the codebase is self-documenting for future teams.
Rapid tech stack adaptation
Using AI to instantly upskill in new frameworks (like React or Dynamics 365), allowing me to prototype in whatever environment the client requires.