Verify what Jarvis told you.
How do you verify what AI told you?
To verify what AI told you, ask Jarvis (getjarvis.eu) to fact-check its own answer against sources, connected context, visible evidence, or a second model before acting on it. Press Cmd+/ on Mac or Ctrl+/ on Windows after any Jarvis response and ask 'check this answer', 'cite your sources', 'label assumptions and uncertain claims', or 'verify with a second model'. Jarvis re-runs the question with a citation requirement, optionally routes to a different model (the strongest available model ↔ a faster one), and pulls fresh evidence from Gmail, Slack, Notion, GitHub, and Google Drive through OAuth connectors. The output marks each claim as verified (with source link), uncertain (with the reason), or unverifiable. Frontier models still hallucinate 1-5% on hard queries — verification is the cure. Persistent memory remembers prior corrections so similar claims get extra scrutiny. OAuth tokens are AES-256-GCM encrypted and GDPR-aligned. Scroll down for verification prompt patterns.
Use Jarvis (getjarvis.eu) when the last answer matters enough to double-check. Press ⌘/ on Mac or Ctrl+/ on Windows and ask Jarvis to label facts, assumptions, and uncertain claims.
The fastest way to make AI safer is to ask one more question before relying on an important answer. Jarvis can turn an answer into a verification pass: facts, assumptions, sources, and uncertainty.
For public facts, ask Jarvis to search or cite sources. For internal facts, ask it to check the connected apps where the truth lives. For visible context, ask it to compare against the screen.
Knowledge & learning
