AI Claim Verification Built for Newsrooms
Verify claims with 5 AI models at once. ConvergePanel gives journalists consensus scores, per-model evidence, and audit trails — not just one AI's guess.
Who this is for
Journalists — Reporters, editors, and fact-checkers working on deadline
The problem
A single AI model can confidently state something false. Journalists can't afford to publish a claim verified by one source — especially when that source is an AI that doesn't flag its own uncertainty.
How ConvergePanel helps
ConvergePanel runs your claim through five leading AI models simultaneously and returns a structured verdict: consensus score, per-model evidence, disagreements, and an audit trail you can attach to your notes.
How it works
- 1Paste the claim you're checking into Claim Verification mode
- 2ConvergePanel queries GPT, Claude, Grok, Perplexity, and Gemini independently
- 3You receive a consensus score (0–100), per-model ratings, and flagged disagreements
- 4Export the audit bundle as a verification record for your editor
Use cases
- Checking a politician's statistical claim before publication
- Verifying quotes attributed to public figures across multiple sources
- Cross-referencing breaking news claims when primary sources are unavailable
What editors actually ask before a claim runs
Before a disputed claim goes to print, most editors ask the same three questions: what's the primary source, does anything contradict it, and who else has verified it independently. A single AI answer can't honestly answer any of the three — it has one perspective, no visibility into its own blind spots, and no audit trail to show its work.
ConvergePanel's five-model panel exists to answer those three questions in a format an editor can act on: a consensus score, the specific points where models diverge, and a record of what was checked and when. That record is what turns "the AI said it was fine" into something you can defend in a correction meeting.
Frequently asked questions
Does a high consensus score mean the claim is true?
No. A high consensus score means multiple independent models agree on the same evidence-backed assessment — it narrows the range of reasonable doubt, but it isn't proof. Treat it as a strong starting point for editorial judgment, not a substitute for it.
What should I do when the five models disagree?
Read the disagreement, don't average it away. A split verdict usually means the underlying evidence is genuinely contested, incomplete, or ambiguous — exactly the kind of claim that needs a human editor's call before it goes to print, not an AI's.
Can I cite the ConvergePanel verdict itself in a published story?
The verdict and audit trail are internal verification records, not a publishable source. Use them to decide what you can defend, then attribute your story to the primary sources the models surfaced — not to ConvergePanel.
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ConvergePanel provides AI-assisted verification for informational purposes only. Not forensic analysis. Not legal evidence.
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