Transparency is the product. Every Truth Tracker verdict on FCNN is produced by the same four-step, multi-model, multi-source system — open for scrutiny by any audience member, critic, or journalist who wants to examine it.
A single AI model is a single opinion. A single news source is a single perspective. Most fact-checkers use one of each — and call it verification. VERIFY was built because that is not enough.
Applied to every Truth Tracker segment, in this order, every time. No shortcuts.
Before anything can be verified, the claims must be isolated. A single article, speech, or social media post may contain dozens of distinct factual assertions, each with different accuracy levels. VERIFY separates them. A statement rated 8/10 accurate on average might contain one claim that is completely true and another that is completely false — the average conceals both. Every claim receives its own individual analysis.
Each extracted claim is submitted independently to five separate AI models simultaneously. Critically, no model sees what any other model has said. Where all five agree, confidence in the finding is high. Where they diverge, that divergence is itself the finding — reported as contested rather than resolved by majority vote. AI outputs are then grounded against primary sources: not other AI opinions about sources, but the documents, records, and data themselves.
Not all sources carry equal evidentiary weight. VERIFY applies a five-tier credibility ranking to every piece of evidence: primary documents and official records at Tier 1, down to unattributed rumour at Tier 5. A claim supported only by Tier 4 or 5 sources is rated Unverified — not false. That distinction matters. Most fact-checking collapses this into a binary. VERIFY preserves it.
The final output is not a single verdict. It is a seven-dimension reading displayed as animated gauge meters, covering accuracy score, confidence level, partisan lean, emotional load, context completeness, source quality, and logical coherence. Each dimension answers a different question about the same content. A claim can score high on accuracy and low on context completeness — which is the definition of a misleading-but-technically-true statement. VERIFY catches it. A single number does not.
Each model is an independent perspective. Consensus strengthens a finding. Divergence flags a contested claim — and contested claims are reported as such, not resolved by averaging.
The most important design decision in The Council is that no model sees what the others have said. In a group of humans, if the first person says "true," the second is more likely to say "true" — social conformity and anchoring bias are well-documented. AI models exhibit the same susceptibility when they are exposed to prior outputs.
By isolating each model's response, VERIFY captures genuine independent assessment. Five models arriving at the same conclusion independently carry far more weight than five models that were told what the first one thought.
Key principle: When sources agree, confidence rises. When they diverge, the disagreement is reported transparently — not hidden behind an averaged score. Divergence is data.
A claim is only as reliable as its source. VERIFY weights every piece of evidence by the tier of its source — and reports that weighting in the final output. A Tier 4 source does not make a claim false. It makes it unverified.
A single accuracy score is insufficient. A statement can be factually correct and profoundly misleading. VERIFY measures both — and six other dimensions besides. Each answers a different question about the same content.
JustChecking.ai is built in four phases — from text and article verification through to real-time live speech deception detection. FCNN operates at the leading edge of each phase as it launches.
Full VERIFY Protocol applied to written claims, articles, social posts, and published statements.
Visual content verification — context checking, manipulation detection, and source attribution.
Spoken content analysis — transcription, claim extraction, and audio authenticity assessment.
Real-time verification during interviews, hearings, and press conferences. Vocal confidence + disingenuousness likelihood — live, on air.
The Truth Tracker analysis of the U.S. State Department's Greenland post demonstrates every step of the protocol — including a finding no other outlet reported.