Use Case
Keep your knowledge base current with AI agents
Deploy agents that automatically update documentation, detect outdated articles, fill content gaps, and ensure your knowledge base stays accurate as your product evolves.
The Problem
- Documentation goes stale within weeks of writing
- Engineers avoid updating docs because it's tedious
- Customers find outdated information and lose trust
- Knowledge gaps are invisible until someone complains
How It Works
- 1Connect your knowledge base: Notion, Confluence, GitBook, etc.
- 2Agent monitors product changes via changelogs and code diffs
- 3Flags outdated articles and drafts updates
- 4Identifies content gaps from support tickets and search queries
Results
- Documentation stays current with every product release
- Content gaps identified and filled proactively
- Engineers freed from documentation maintenance burden
- Customers find accurate answers on their own, reducing tickets
Example Agent Prompt
Compare our API documentation against the latest codebase. Flag any endpoints that are documented but removed, undocumented but live, or have changed parameters.
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