Most knowledge management tools organize information by document. But work knowledge is relational — people, decisions, projects, and commitments form a graph. Here's why that matters.

Placeholder — full article coming soon.

Every day, knowledge workers generate valuable information in meetings, conversations, and presentations. Decisions are made, commitments given, context established. And almost all of it is lost within hours.

The problem isn't capture — it's structure. Notes are flat. Documents are isolated. Search finds keywords, not meaning. What's missing is the connections: the relationship between a decision made in October and the action item discussed in December, the link between a person mentioned in passing and the project they're driving.

A personal work knowledge graph changes this. Instead of organizing by document or date, it organizes by relationship. People are connected to decisions. Projects are connected to meetings. Topics thread across months. And AI can reason over the whole structure — not just search it, but understand it.

This is what we're building at Proudfrog. Not a better note-taking tool, but a knowledge infrastructure that starts with your meetings and grows into something genuinely useful.

More soon.

The Case for a Personal Work Knowledge Graph