Knowledge Hub

AI is reshaping work. The new role of Knowledge Keepers ensures all organizational knowledge is collected, reconciled, and optimized so AI can use it effectively. Summary in 3 bullets: Traditional roles (tech writers, support, PMs) converge into Knowledge Keepers. They centralize contributions, resolve conflicts, and structure knowledge for AI. Goal: a single, accurate source of truth powering AI-driven organizations.

Some strings in the document needed to be untouchable — placeholders, keywords, or template fields. Users can edit around them, but if they try to change or delete them, the editor blocks it.

HTML content from Froala became unwieldy: copy-pasted rich text brought in lots of inline styles and nested tags, which made the content hard for AI models to parse. Markdown, while simpler, turned out much cleaner, easier to manage, and more reliable for downstream AI tasks.

Raw data is like oil — useful, but crude. Knowledge is more like uranium: potent, complex, and dangerous if mishandled. The real value comes from enriching it

Organisations often struggle with knowledge management — lost documents, outdated info, and hours wasted searching. Traditional tools often become information graveyards, leaving teams frustrated. KnowledgeKeeper solves this by making knowledge searchable, contextual, and actionable, ensuring teams always have the updated information as soon as they open the dashboard.

ChatGPT builds “walled gardens” — collaboration needs accounts, documents grow stale, hallucinations creep in, and your data isn’t truly yours. Knowledge Keeper promises to tear down those walls