Our 3-step protocol for establishing verification in a zero-trust environment.
Goal: Continuous algorithmic scanning of 50,000+ data points.
Current Status: Our AI agents monitor legislative dockets and wire services to surface claims, which are then manually reviewed and curated by our research team to ensure relevance and accuracy during this pilot phase.
Claims are cross-referenced against historical data. Our AI models assist researchers by flagging pattern anomalies and linguistic bias, acting as a "force multiplier" for human judgment rather than an autonomous arbiter.
> ASSISTING RESEARCHER...
> FLAGGING
POTENTIAL BIAS
We don't publish "maybe." A verdict is only rendered when multiple primary sources corroborate the evidence. If the scale doesn't tip decisively, we report "Mixed" with full transparency.
We believe in radical transparency. Understanding what our system cannot do is just as important as understanding what it can.
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