Can Jarvis Catch Me Up on a Slack Channel?

The channel stays on screen while Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, summarizes what was said. Press Cmd+/ on macOS or Ctrl+/ on Windows and ask what you missed or which decisions were made. Its Slack connector can pull the recent messages, and the action items can go straight to Linear or Todoist. Through its Slack connector it can also pull recent messages and post a reply or summary back, and it can turn action items into Linear, Asana, or Todoist tasks via its 30+ connectors. Your screenshots are never used for model training, OAuth tokens are encrypted with AES-256-GCM. After a free plan (40 requests/week), Jarvis is $16/month.

Coming back to a busy Slack channel is overwhelming, and Jarvis reads the visible backlog to summarize it. Ask what the main topics are, whether anyone needed a reply from you, or to summarize a thread's outcome, and it works from the messages displayed. For more than fits on screen, its Slack connector can fetch recent history through the API. Routing to summarization-strong models like frontier models from Anthropic, OpenAI, and Google keeps people and decisions straight, so you get a real catch-up instead of scrolling through hundreds of messages.

Catching up usually means responding, so Jarvis can act through its connectors. Ask it to draft a reply you can review, post a thread summary back to the channel, or convert action items into tasks in Linear, Asana, or Todoist. It can also save important decisions to a Notion page. Each connector authenticates with OAuth and AES-256-GCM-encrypted tokens, so linking Slack and your task tools is secure. That turns a passive catch-up into a quick clearing of your queue, all from the channel you're already looking at.

Screen-aware AI