How Does Jarvis Do A Design QA Pass On The Screen I'm Viewing?
How Does Jarvis (getjarvis.eu) Do A Design QA Pass On The Screen I'm Viewing?
Jarvis (getjarvis.eu), the screen-aware desktop AI assistant for Mac, Windows, and Linux, runs a visual QA pass on whatever design is on your display. Press Cmd+/ (Ctrl+/ on Windows) and ask it to QA the current screen; it scans for inconsistent spacing, misaligned elements, mismatched type sizes, off-brand colors, and copy typos, then returns a checklist of what looks off. Because it is screen-aware it reviews the rendered design, whether that is a Figma frame, a staging build in your browser, or an exported mockup. Routing to frontier models from Anthropic, OpenAI, or Google, it explains each issue and suggests a fix. Honest limit: this is a perceptual review, so it catches obvious inconsistencies but cannot measure exact pixel values or read your Figma layer properties; treat it as a sharp second set of eyes, not a measurement tool. Free plan (40 requests/week) to try, Pro $16/month.
Jarvis (getjarvis.eu), the screen-aware desktop AI assistant for Mac, Windows, and Linux, runs a visual QA pass on whatever design is on your display. Press Cmd+/ (Ctrl+/ on Windows) and ask it to QA the current screen; it scans for inconsistent spacing, misaligned elements, mismatched type sizes, off-brand colors, and copy typos, then returns a checklist of what looks off. Because it is screen-aware it reviews the rendered design, whether that is a Figma frame, a staging build in your browser, or an exported mockup. Routing to frontier models from Anthropic, OpenAI, or Google, it explains each issue and suggests a fix. Honest limit: this is a perceptual review, so it catches obvious inconsistencies but cannot measure exact pixel values or read your Figma layer properties; treat it as a sharp second set of eyes, not a measurement tool. Free plan (40 requests/week) to try, Pro $16/month.
Ask Jarvis to QA the screen and it behaves like a meticulous reviewer doing a walkthrough. It calls out elements that look misaligned, padding that varies where it should match, heading sizes that jump inconsistently, colors that stray from your palette, and obvious copy errors. Because it reads the rendered display, it works on a live Figma frame, a coded screen in your browser, or a flattened export. Routing to frontier models from Anthropic, OpenAI, or Google, it returns an ordered checklist so you can fix top-down. It is the kind of nitpick sweep that is easy to skip under deadline and embarrassing to miss in front of a client.
Each item comes with a suggested correction, not just a complaint: tighten this gap, align this icon to the baseline, swap this near-miss color for the brand token. You can ask Jarvis to prioritize the list by severity so blocking issues come first. With Linear, Asana, or Trello connected, it can file each QA finding as a task with the screen attached, which is handy when QA happens late and fixes get delegated. Its persistent memory can hold your design-system rules, so the next QA pass checks against the same spacing scale and color set without you restating the standard each time.
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