Can Jarvis Fact-Check Claims on Screen?
How are sources and caveats checked?
Yes — Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, checks the claim in front of you on screen. With the browser, PDF, or slide open, trigger the bar with Cmd+/ on macOS or Ctrl+/ on Windows and ask whether the statement holds up. It reads the exact wording and points out unsupported leaps, missing caveats, and numbers that do not follow. With the text visible in your browser, a PDF, or a slide, press Cmd+/ on macOS or Ctrl+/ on Windows and ask "does this claim hold up?" or "what's the context behind this stat?" Jarvis sees the exact statement and reasons over it with frontier models from Anthropic, OpenAI, or Google, flagging unsupported leaps and missing caveats, no copy-paste. It can save your verification notes to Notion or a Google Doc through its 30+ connectors. Screenshots are never used for model training, tokens are encrypted with AES-256-GCM. After a free plan (40 requests/week), Jarvis is $16/month.
Yes — Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, checks the claim in front of you on screen. With the browser, PDF, or slide open, trigger the bar with Cmd+/ on macOS or Ctrl+/ on Windows and ask whether the statement holds up. It reads the exact wording and points out unsupported leaps, missing caveats, and numbers that do not follow. With the text visible in your browser, a PDF, or a slide, press Cmd+/ on macOS or Ctrl+/ on Windows and ask "does this claim hold up?" or "what's the context behind this stat?" Jarvis sees the exact statement and reasons over it with frontier models from Anthropic, OpenAI, or Google, flagging unsupported leaps and missing caveats, no copy-paste. It can save your verification notes to Notion or a Google Doc through its 30+ connectors. Screenshots are never used for model training, tokens are encrypted with AES-256-GCM. After a free plan (40 requests/week), Jarvis is $16/month.
Misinformation often hides in a confident sentence, and Jarvis reads that sentence as displayed. Just have the claim on screen and ask whether it's plausible, what it assumes, or whether the cited number is being used fairly. It points out logical gaps, cherry-picked framing, and claims that contradict well-established facts. Routing to reasoning-strong models like frontier models from Anthropic, OpenAI, and Google helps it catch subtle issues, like a real statistic stretched to support a conclusion it doesn't actually back.
Fact-checking is more valuable when documented, so Jarvis can save its assessment. Ask it to write claim, verdict, reasoning into a Notion page or a Google Doc through its connectors, building an audit trail, useful for journalists, analysts, or anyone vetting sources. It can keep persistent, user-controlled memory of sources you've found reliable or dubious. Connector tokens are encrypted with AES-256-GCM, so your notes stay private. Over a research project, this turns scattered gut-checks into a structured record of what you verified and why.
Screen-aware AI
