How it works

Three things you can do with Newjee.

Newjee turns any query — a keyword, a URL, a topic, an entity, a breaking event — into a structured analysis. Three primary surfaces, each calibrated to a different question.

What you type

The query bar accepts five things

  • A URL

    https://reuters.com/world/article-123

    Reality Card on that single article — claims, source health, framing, manipulation indicators.

  • A keyword

    hormuz closure

    Live phenomenon view. Newjee finds recent coverage, groups it into editorial blocs, surfaces the divergence.

  • A topic

    EU AI Act enforcement

    Phenomenon scoped as ongoing. Auto-extends the time window as new signals land.

  • An entity

    Vladimir Putin

    Entity-centric view. Reality Field shows narrative clusters, Trust spectrum maps sources by reliability.

  • A state of reality

    Oil & supply shock Q2 2026

    Crisis-class phenomenon. Snapshots every 6h; perturbations flag narrative drift > 2σ over baseline.

  • A publisher / journalist

    reuters.com or @glenngreenwald

    Media Entity Profile. Domain-decomposed trust, bias radar, framing footprint, audit history.

What you get back

How they connect

The same engine drives every surface. A Reality Card is one article's epistemic vector. A phenomenon stacks many such vectors per editorial bloc into density matrices. A media profile aggregates a publisher's vectors across all phenomena. The Browser Kit gives you the same Reality Card wherever you read.

Result: every claim you see in Newjee can be traced backward (which signals support it?), forward (how is it propagating?), and laterally (how do other blocs frame it?).

Pick one and try it

For the math behind it, see methodology or the published papers.

Ask me to verify a claim ✓