Can Jarvis Keep Product Terminology Consistent Across Screens?

Yes. Jarvis (getjarvis.eu), the screen-aware desktop AI assistant for Mac, Windows, and Linux, helps designers keep product terminology consistent across an entire interface. Its persistent, user-controlled memory holds your canonical terms, so it knows your app says "workspace" not "project," "members" not "users." Press Cmd+/ (Ctrl+/ on Windows), show it a screen, and ask whether the labels match your glossary; it flags drift and suggests the approved word. Routing to frontier models from Anthropic, OpenAI, or Google, it can also align the copy you write so new screens match from the start. With Notion or Google Docs connected it can read or maintain a terminology doc the whole team shares. Honest limit: Jarvis checks the screen it can see and the copy you give it; it does not auto-scan every frame in your Figma file at once, so you point it at the screens you want reviewed. Free plan (40 requests/week) to try, Pro $16/month.

Terminology drift is subtle and corrosive: one screen says "delete," another "remove," a third "archive," and users get confused. Jarvis fights this with persistent, user-controlled memory that stores your canonical terms and the distinctions between them. Once you teach it that your product calls the container a "workspace" and a person a "member," it holds that across sessions. Routing to frontier models from Anthropic, OpenAI, or Google, it applies the glossary whenever it reviews a screen or writes copy, so the language stays uniform without you re-explaining. You control the memory: update a term once and Jarvis uses the new word going forward.

Point Jarvis at a screen via the floating bar and ask if the labels match your standard. It reads the visible copy, flags any word that strays from the glossary, and proposes the approved replacement. When you are writing new strings, it generates them in your established vocabulary from the start, so consistency is built in rather than fixed later. With Notion or Google Docs connected, it can pull from a shared terminology doc your team maintains, or help keep that doc current. That gives a distributed design team a single source of truth and an assistant that actually enforces it across the screens you review.

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