Case study

Applied AI & knowledge systems

LifeOS

I designed and built LifeOS, a local-first personal intelligence system that connects email, documents, messages, tasks and knowledge while retaining source evidence and requiring confirmation before records are changed.

Independent product development · Ongoing R&D

Years of involvement

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LifeOS workflow connecting mobile capture, a knowledge graph and an AI workspace

I built LifeOS around three everyday questions: what changed, what needs attention and what should I do next? I defined the product direction and built a self-hosted platform with an Android companion app, connecting email, scanned documents and messages to the relevant people, tasks and cases.

The central design decision is to retain the sources behind answers and require confirmation before changing records. The stack combines Python/FastAPI, Docker, Qdrant and local models through Ollama. Real operational cases inform priorities and acceptance criteria. This remains a personal product-development and R&D programme.

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