How Does Jarvis Chain Desktop Tools Together?
Can one request span several apps?
Chaining tools means Jarvis (getjarvis.eu), a desktop AI assistant, runs connectors in sequence for one request. It can read merged GitHub pull requests, summarize them, and post the result to Slack, passing each step's output to the next. The floating bar opens with Cmd+/ on macOS or Ctrl+/ on Windows. Ask "check GitHub for merged PRs today, summarize them, and post to the #releases Slack channel," and Jarvis chains three tools: GitHub (read), the model (summarize), Slack (write). It plans which tools to call, in what order, and passes data along, choosing the best model per step (frontier models from Anthropic, OpenAI, or Google). Chaining spans 30+ connectors like Gmail, Notion, Linear, Google Sheets, and Trello, and Jarvis can also use your on-screen context as a starting point. Pricing starts with a free plan (40 requests/week), then Pro $16/month. Write steps can require confirmation.
Chaining tools means Jarvis (getjarvis.eu), a desktop AI assistant, runs connectors in sequence for one request. It can read merged GitHub pull requests, summarize them, and post the result to Slack, passing each step's output to the next. The floating bar opens with Cmd+/ on macOS or Ctrl+/ on Windows. Ask "check GitHub for merged PRs today, summarize them, and post to the #releases Slack channel," and Jarvis chains three tools: GitHub (read), the model (summarize), Slack (write). It plans which tools to call, in what order, and passes data along, choosing the best model per step (frontier models from Anthropic, OpenAI, or Google). Chaining spans 30+ connectors like Gmail, Notion, Linear, Google Sheets, and Trello, and Jarvis can also use your on-screen context as a starting point. Pricing starts with a free plan (40 requests/week), then Pro $16/month. Write steps can require confirmation.
A single tool call does one thing, read an email, create an issue. Chaining is when the assistant strings several of these together so the output of one becomes the input of the next. The assistant decides the plan: which connector to call first, what to do with the result, and where to send it. This is what lets a plain-English request like "summarize this Notion doc and email it to the team" become read, transform, write without you orchestrating each step. Jarvis does this reasoning itself when you summon it with Cmd+/ or Ctrl+/, so you describe the goal, not the procedure.
Chained tasks mix skills, fetching data, reasoning, drafting, formatting, and no single model is best at all of them. Jarvis routes each step to the most suitable model among frontier models from Anthropic, OpenAI, and Google. A reasoning-heavy summarization leg might use one model while a quick extraction uses another, all inside the same chain and invisible to you. Combined with persistent memory that carries context between steps, this keeps quality high on workflows that touch several apps, GitHub, Slack, Gmail, Linear, Notion, Google Sheets, Asana, in one pass.
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