I’m exploring local and cloud applications that help organisations capture knowledge, connect experience, and work with what they know in AI-augmented environments.
Why this interests me now
Organisational knowledge often sits in documents, conversations, systems, and individual memory without an easy way to see how the pieces relate. I’m interested in applications that help people capture that knowledge, give it useful structure, and return to it as their understanding develops.
The aim is not to make AI an unquestioned source of answers. I want to explore environments in which people can retrieve, connect, challenge, and reinterpret what an organisation knows while remaining responsible for meaning and decisions.
Local and cloud explorations
MySotongkoo explores the local side of this interest: a focused AI interface for working with information and learning. Cloudflare-first solutions gives me a cloud environment for prototyping and publishing applications. Together they let me investigate where knowledge should live, how people encounter it, and what different technical boundaries make possible.
From a shared brain to this website
The inquiry grows from Making a shared brain with my GenAI buddy, where I explored small, linked notes with a generative-AI collaborator. This website develops that idea into a visible system: its connectome turns connected notes about my practice into a map that people—and AI tools—can navigate.
Questions I’m exploring
What makes captured knowledge useful in everyday organisational work rather than merely stored?
How can people see where knowledge came from, question it, and add context as situations change?
Which parts of an AI-augmented knowledge environment belong locally, and which benefit from cloud access?
How can an interface reveal relationships without pretending that the map is complete?
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