Notion shipped a major expansion of its AI agent capabilities and integrations. Custom Agents gained fine-tuning controls, AI Autofill for automatic database enrichment, and Skills that let users save workflows for reuse across the team. The cost to run agents dropped 35–50% with new model options consuming up to 10x fewer credits. Agent integrations grew to cover Calendar, Mail, Slack, and soon Microsoft Teams, Google Drive, and Salesforce. On the interface side, Notion added voice dictation on desktop, let users share AI chats as read-only links, introduced page tabs for cleaner organization, and expanded cover art with museum and archive collections.
Notion expanded AI capabilities across content creation and workspace organization in March. Custom skills let teams build reusable AI commands on Business and Enterprise plans, while image generation arrived for visual content directly on pages. The major 3.4 release shipped dashboards for KPI visibility, a reorganized sidebar with customizable tabs, and tabs blocks for cleaner page layouts—presentation mode graduated from beta across Plus and above. AI connectors extended to Salesforce data search, custom instructions refined meeting note summaries, and GPT-5.4 became available in the model picker for faster, more efficient responses.
Notion's February 2026 activity centered on expanding AI capabilities and third-party integrations. The month began with a focus on external connectivity through Asana task integration on February 4th, followed by the introduction of Claude Opus 4.6 models into the platform on February 9th, signaling a deepening partnership with Anthropic for advanced AI features. By mid-month, the Library feature received organizational improvements on February 18th, and the cycle culminated in version 3.3 on February 24th, which introduced custom agents—a substantial addition that enabled users to build their own AI-powered automation tools. The sequence reflected a clear thematic progression toward making Notion a more intelligent, interconnected workspace through both native AI advancement and external ecosystem integration.