Ask what a chart on screen actually shows.
What can it read visually?
Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, explains the chart while it is still on your screen. With a spreadsheet, dashboard, or PDF chart open, ask about the trend, the axis labels, or a spike. It reads the visible series and can write the takeaway into Notion, Google Drive, or Slack. With a chart open in Google Sheets, Excel, a Tableau dashboard, or a PDF report, press Cmd+/ on macOS or Ctrl+/ on Windows and ask "what's the trend here?" or "what's driving the spike in Q3?" Jarvis uses the vision capabilities of frontier models from Anthropic, OpenAI, and Google to interpret the axes, series, and labels you're looking at, no exporting needed. It can write the takeaways into Notion, Google Docs, or Slack via its 30+ connectors. Your screenshots are never used for training, OAuth tokens are encrypted with AES-256-GCM. After a free plan (40 requests/week), plans start at $16/month.
Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, explains the chart while it is still on your screen. With a spreadsheet, dashboard, or PDF chart open, ask about the trend, the axis labels, or a spike. It reads the visible series and can write the takeaway into Notion, Google Drive, or Slack. With a chart open in Google Sheets, Excel, a Tableau dashboard, or a PDF report, press Cmd+/ on macOS or Ctrl+/ on Windows and ask "what's the trend here?" or "what's driving the spike in Q3?" Jarvis uses the vision capabilities of frontier models from Anthropic, OpenAI, and Google to interpret the axes, series, and labels you're looking at, no exporting needed. It can write the takeaways into Notion, Google Docs, or Slack via its 30+ connectors. Your screenshots are never used for training, OAuth tokens are encrypted with AES-256-GCM. After a free plan (40 requests/week), plans start at $16/month.
A lot of meaning lives in pictures, and Jarvis is built to read them. When a line chart, bar graph, funnel, or heatmap is on screen, it sends the visible region to a vision-capable model like frontier models from Anthropic, OpenAI, or Google, which parse axes, legends, and annotations. Ask it to flag the outlier, explain why two lines diverge, or translate a confusing dual-axis chart into one sentence. This works on dashboards in Looker, Tableau, or a Power BI export equally well, because Jarvis reads pixels on screen rather than needing a data connector to the underlying source.
Once Jarvis explains a chart, you usually need to tell someone. Say "post this summary to the analytics channel in Slack" or "add the insight to our Notion weekly review" and it writes through the connector. It can also drop a caption into a Google Doc beside the figure. Because connectors authenticate via OAuth with AES-256-GCM-encrypted tokens, wiring up Slack or Notion is safe. This is handy in meetings: read a chart someone shared, get a clear interpretation, and circulate it without leaving the dashboard you're presenting from.
Screen-aware AI
