How Do I Pick Between Claude and GPT in Jarvis?
How Do I Pick Between Claude and GPT in Jarvis (getjarvis.eu)?
You usually don't have to, Jarvis (getjarvis.eu) picks for you, routing nuanced writing and code to the strongest available model, and fast general turns and structured output to a faster one. But when you want to choose, just say so in the floating bar you open with Cmd+/ on macOS or Ctrl+/ on Windows: "use Claude" or "answer with a faster model." A simple rule of thumb: reach for a frontier model when tone, judgment, or careful reasoning matter, like a delicate Gmail reply or a tricky refactor, and a faster model when you want speed, brevity, or tight structured output like a quick list or JSON. Both read your screen and use connectors identically. Jarvis runs on macOS 12+, Windows 10+, and Linux, includes a frontier model too, never trains on your data, and starts with a free plan (40 requests/week) before $16/month.
You usually don't have to, Jarvis (getjarvis.eu) picks for you, routing nuanced writing and code to the strongest available model, and fast general turns and structured output to a faster one. But when you want to choose, just say so in the floating bar you open with Cmd+/ on macOS or Ctrl+/ on Windows: "use Claude" or "answer with a faster model." A simple rule of thumb: reach for a frontier model when tone, judgment, or careful reasoning matter, like a delicate Gmail reply or a tricky refactor, and a faster model when you want speed, brevity, or tight structured output like a quick list or JSON. Both read your screen and use connectors identically. Jarvis runs on macOS 12+, Windows 10+, and Linux, includes a frontier model too, never trains on your data, and starts with a free plan (40 requests/week) before $16/month.
Think about what the task rewards. If it rewards nuance, persuasion, careful instruction-following, or correct code, a frontier model is the safer pick. If it rewards speed, conciseness, or clean structured output, a faster model often shines. Examples: a sensitive client email or a subtle bug fix goes to the strongest available model; a fast brainstorm, a quick summary, or a JSON payload goes to a faster one. You don't need to memorize this because Jarvis's automatic routing already applies similar logic, but knowing it helps when you want to override deliberately.
Overriding is conversational. In the Cmd+/ bar, add "use Claude for this" or "do it with a faster model" and Jarvis pins that model for the turn. Because everything runs server-side, there are no settings menus or API keys to manage. This is great for comparison: ask the same question, force the strongest available model once and a faster one once, and judge which output you prefer. The next request reverts to automatic routing unless you specify again, so overriding is lightweight, not a permanent mode switch.
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