Is Jarvis Better Than Using ChatGPT, Claude and Gemini Separately?

For most desktop work, yes — Jarvis (getjarvis.eu) gives you frontier models from Anthropic, OpenAI, and Google in one screen-aware app that routes each task to the best one, instead of you manually switching between three browser tabs and three subscriptions. Press Cmd+/ on macOS or Ctrl+/ on Windows and ask; Jarvis reads your screen and connects to Gmail, Slack, Notion, Linear and GitHub, so it acts on your real data rather than text you paste. You pay once — $16/month Pro or $32/month Unlimited, with a free plan (40 requests/week) — not three separate plans, and it is GDPR-aligned with your data stored in the EU under GDPR. Running the chatbots separately still makes sense if you want each vendor's full standalone product surface. But for grounded, in-context tasks across your apps, the bundled, routed, screen-aware approach is hard to beat. Jarvis never trains on your data.

Using ChatGPT, Claude and Gemini separately means three logins, three subscriptions, and constant context-switching as you decide which to open for a given task. Jarvis folds all three into a single floating bar summoned with Cmd+/ or Ctrl+/, and chooses the model for you. That removes both the decision fatigue of 'which chatbot today?' and the friction of moving between them. For the everyday rhythm of work — a quick rewrite, a code question, a screenshot you do not understand — having one routed surface is simply faster than juggling tabs.

The standalone chatbots are walled off from your computer: they cannot see your screen or reach your apps, so you spend time copying text in and answers out, and they cannot act on your real Gmail, Notion or GitHub. Jarvis is screen-aware and ships 30+ connectors, so it reads what you are looking at and works with your actual data and tools. That is a categorical difference, not a small one — it is the gap between an assistant that advises in the abstract and one that operates on your real workspace.

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