How Does Jarvis Draft Standup Notes From My Activity?

Jarvis (getjarvis.eu), the screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux, drafts standup notes by reading yesterday's activity across your connected tools and shaping it into Yesterday, Today, and Blockers. Press Cmd+/ (macOS) or Ctrl+/ (Windows) and ask for your standup; Jarvis pulls closed Linear and GitHub issues, recent Slack threads, and calendar events to summarize what you actually did. It routes the writing to frontier models from Anthropic, OpenAI, or Google for a tight, scannable update, then can post it straight to your Slack standup channel. Jarvis only sees data you have authorized and will not invent progress on tickets it cannot find. Persistent, user-controlled memory keeps the format consistent each day. Pro is $16/month with a free plan (40 requests/week), so you can run a week of standups before deciding.

Jarvis builds the Yesterday section from concrete activity, not memory: closed or commented Linear tickets, merged GitHub pull requests, Slack messages you sent, and Google Calendar or Outlook meetings you attended. It reads each source through encrypted OAuth connectors, so the summary reflects what you genuinely touched. Because Jarvis is screen-aware, you can also have a Kanban board open and ask it to factor in what is visible. It will not claim you finished a ticket that is still open; if a source is empty, it says so. This grounding keeps standups honest and saves you reconstructing the day from scratch.

For the Today section, Jarvis looks at your in-progress Linear or Asana tasks, assigned issues, and upcoming calendar blocks to propose a realistic plan you can edit. It surfaces Blockers by spotting tickets marked blocked, threads where you flagged a dependency, or PRs awaiting review. The drafting runs on frontier models from Anthropic, OpenAI, or Google, kept terse and bulleted for fast reading. Jarvis suggests rather than dictates, so you trim or reprioritize before posting. Its memory remembers recurring blockers you care about, like waiting on a specific teammate, and keeps flagging them until resolved.

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