How Tim Uses Microsoft Graph API to Supercharge Your Workflow
A deep dive into how Tim connects to your M365 data in real-time.
The Microsoft Graph API is the connective tissue of the entire Microsoft 365 and Slack ecosystem, and it's the foundation that makes Tim possible. In this post, we'll walk through exactly how Tim leverages Graph to deliver real-time, context-aware assistance across your entire workspace.
At its core, Microsoft Graph provides a unified REST endpoint for accessing data across Outlook, Teams, SharePoint, OneDrive, Planner, and dozens of other M365 services. Tim connects to Graph using delegated permissions scoped to each user's existing access level, meaning Tim can never see more than you can. When you ask Tim to find the latest version of a proposal, it queries Graph's search API across SharePoint and OneDrive simultaneously, then cross-references recent email threads mentioning the document to surface the most relevant version.
One of the most powerful capabilities we've built on top of Graph is real-time change notifications. Tim subscribes to webhook events for your mailbox, calendar, and Teams channels, so it reacts to changes as they happen rather than polling on a schedule. When a meeting gets rescheduled, Tim immediately updates related tasks in Planner, notifies affected team members via Teams, and adjusts the preparation timeline. This event-driven architecture keeps Tim's context fresh without consuming unnecessary API calls.
We also lean heavily on Graph's batch request capabilities. A typical Tim workflow -- like preparing a daily briefing -- might need data from your calendar, recent emails, Teams messages, and Planner tasks. Instead of making these as sequential API calls, Tim batches up to 20 requests into a single round-trip, reducing latency by 60-80% compared to naive implementations. Combined with intelligent caching of stable resources like organizational hierarchy and distribution lists, Tim delivers sub-second response times even for complex cross-service queries.
Graph's differential query support has been particularly valuable for Tim's memory system. Rather than re-reading entire mailboxes or document libraries, Tim tracks delta tokens and only processes changes since its last sync. For a user with 10,000 emails, this means Tim's daily context update processes perhaps 50-100 new messages rather than the entire archive. This approach keeps Tim's operational costs low while maintaining comprehensive awareness of your workspace activity.
The challenge with Graph, honestly, has been throttling. Microsoft enforces per-tenant and per-app rate limits that can bite hard in large organizations. We've invested heavily in a priority queue system that ensures user-facing requests always get bandwidth while background indexing tasks gracefully back off. Our retry logic respects the Retry-After headers and distributes load across time windows, keeping Tim reliable even in tenants with thousands of users.