company-brain

To structure team knowledge for an AI-ready knowledge base, you need to capture information about people, companies, meetings, SOPs, and decisions using markdown files. This structured data format enables efficient querying and multi-author editing.

Yes, multi-author editing is supported with timestamped authorship and version control. This allows team members to collaboratively manage structured data while maintaining accountability for changes.

The best way to organize SOPs and meeting decisions is using structured data capture within a shared knowledge base. This approach supports categorization, sensitivity tagging, and efficient search across team-specific information.

Yes, markdown files are required to manage structured data in this team knowledge base. They provide the necessary format for capturing, compiling, and querying information across different categories like people and companies.

Sensitivity tagging works by allowing authors to classify the confidentiality level of structured data entries during collaborative editing. This ensures appropriate access controls are applied to sensitive team information.

When team knowledge search fails to return relevant results, use the linting and reviewing modes to validate your structured data. Ensuring markdown files follow correct formatting improves query accuracy across people, companies, and SOPs.