Gems is an AI knowledge assistant that provides synthesized, ready-to-use answers by searching across all connected applications and data sources. The platform eliminates the friction of retrieving information from scattered digital tools by allowing users to ask questions in natural language and receive complete, written-out answers with source citations.

The application works through a simple keyboard shortcut that summons the assistant, enabling users to type queries as they would ask a friend. Users can connect various data sources including Notion, Gmail, and Slack, and Gems searches this consolidated knowledge base to formulate synthesized responses. Each answer includes sources for verification and provides ways to explore topics further.

Gems addresses the significant time professionals lose searching for information across multiple applications. Rather than manually organizing, structuring, and tagging information, users can access their entire knowledge base through conversational queries. The platform supports clipping text to provide additional context for queries, making it easier to refine searches without extensive prompt engineering.

The service generates structured text outputs containing relevant information synthesized from all connected sources. Users can paste these generated answers directly into other applications with a single keystroke or share them in collaborative spaces with colleagues. The platform maintains a self-organizing knowledge base that grows as users add more integrations, creating connections across their entire digital workspace without requiring manual organization effort.