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04 / Co-founder & technical lead

Cosy Futures

An LLM-powered civic-participation prototype: questionnaire, generation and application engineering.

SvelteKitLLM integrationProduct engineering
Cosy Futures robot version: Pixel the robot greets the visitor on a pixel-art hillside
The robot version of Cosy Futures, loaded from cosyfutures.com when you press the button. Cosy Futures then sets a language cookie and processes your answers under its own privacy notice.

Questionnaire

An interactive questionnaire supplies useful context for AI-enabled descriptions and recommendations. The work connects interface design, generation logic and a coherent experience while keeping the model inside a wider product.

Application engineering

Streaming responses, language-aware caching, generation limits and explicit failure handling are part of making AI fit into an application. The implementation also separates descriptive content from recommendations.

Data handling

Input handling omits custom free-text answers from generation context and applies potential-PII redaction. These are specific safeguards; they do not guarantee anonymisation or blanket GDPR compliance. The application uses an external model gateway, so it is not a local-inference case study.

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