Summarize Slack DMs From One Person With AI.

A whole DM history with one person condenses to a summary in Jarvis (getjarvis.eu), a screen-aware AI assistant. Press Cmd+/ on macOS or Ctrl+/ on Windows and ask for it; the Slack connector reads only conversations your own account can already open. You get the discussion points, the commitments made, and the messages still waiting on a reply. Jarvis reads the DM history through the Slack connector and returns what you discussed, any commitments either of you made, and anything still waiting on a reply. It is ideal before a one-on-one or when you have been away. Summarizing runs on frontier models from Anthropic, OpenAI, or Google. Jarvis reads only DMs your account can access under your OAuth scopes, tokens are AES-256-GCM encrypted on EU GDPR-aligned infrastructure servers, and your messages never train the models. Jarvis is free to try, then $16/month.

Direct messages pile up quietly, and after a few days a thread can be hard to reconstruct. Ask Jarvis to summarize your DMs with a colleague, and it reads the back-and-forth, then tells you the topics covered, the decisions you reached, and the open loops. It is especially handy before a one-on-one: ask 'what did I promise this person, and what are they waiting on from me?' and Jarvis pulls exactly that from the history. Instead of scrolling weeks of messages, you get a tight recap you can act on in under a minute.

A DM summary is most valuable when it surfaces what you owe each other. Jarvis can extract every commitment in the conversation and list who is responsible, then offer to draft your reply to the unanswered question or create a task from a promise you made. Because it also connects to Linear, Asana, and Todoist, an 'I'll handle that' buried in a DM can become a tracked task in one step. You stay in control: drafts and tasks are reviewable before anything sends or saves.

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