train

You can train AI on team standards by providing style guides, policy documents, or coding standards. The system extracts specific enforceable rules, criteria, and glossary terms to build a trainable knowledge base for your AI teammates.

The best way to build a trainable knowledge base from coding standards is to extract enforceable rules and glossary terms from your documents, then save them via a dedicated training_save workflow to apply project scope defaults for team-wide standardization.

You can use pasted inline text, URLs, or uploaded files to extract team standards. The system processes all supported input formats to identify and categorize actionable rules, standards, and glossary terms from your documents.

The system categorizes extracted rules and definitions from review checklists into three distinct groups: rules, standards, and glossary terms. This categorization ensures easy reuse and team-wide standardization during the training process.

Yes, you need a dedicated training_save workflow to save extracted coding standards and glossary terms. This workflow stores the categorized items with project scope defaults, enabling team-wide standardization across your AI teammates.