About Braven News now

We read what US newsrooms publish, group the coverage of a single event into one page, and rewrite it in plain English — so you can see what happened, who reported it, and why it matters, without reading twelve versions of the same story.

What this site is

Braven News now is a news aggregation and synthesis service. We do not send reporters into the field and we do not break stories. Every fact on this site originates with a named news organisation, and every story page lists those organisations with a direct link to their original article. If you want the primary reporting, follow those links — that is what they are there for.

What we add is structure: one page per event instead of a dozen, a plain-English rewrite at roughly CEFR B1–B2 reading level, an explicit “why it matters” explainer, a timeline of when each outlet picked the story up, and a comparison of how different newsrooms framed it.

How a story page is built

1. Ingest. We poll the public feeds of US news organisations and record each article’s headline, publication time, outlet and link.
2. Cluster. Articles describing the same event are grouped by semantic similarity into one topic. The number of distinct outlets in a cluster is the “outlets covering this” figure shown on the page.
3. Summarise. A large language model writes the plain-English summary, the “why it matters” note, the question-and-answer brief, and the comparison of editorial angles — working only from the clustered articles, not from its own background knowledge.
4. Score. Each topic gets a significance score and a source-trust score (see below).
5. Publish. The page goes live and updates as more outlets cover the story. “Last updated” on each page is the real timestamp of the most recent change.

The two scores

Significance (0–10)

How much this story appears to matter right now, combining the breadth of coverage, the authority of the outlets covering it, how fast it is spreading, and how recent it is. It is a measure of editorial attention, not of importance in any absolute sense.

Source trust (0–10)

The average authority rating of the outlets in the cluster. A rating reflects an outlet’s editorial track record and corrections practice. A high figure means established newsrooms are carrying the story; it is not a fact-check of the story itself.

A story carried by a single outlet shows a Calibrating badge. One outlet means one account of events, not confirmation — treat those pages as a pointer to the original report rather than as a corroborated story.

AI, and where it stops

The summaries on this site are machine-generated. We think that is worth stating on the record rather than burying, so every story page carries a provenance line naming the model that produced its analysis. Our editorial policy sets out what the model is and is not allowed to do, what we do when it gets something wrong, and how to tell us about an error.

The model does not choose which stories exist — clustering real published articles does that. It does not add facts that are absent from the source articles. When it cannot produce a useful summary, the page falls back to the original reporting rather than inventing filler.

Reach us

Corrections, takedown requests, licensing questions and everything else: get in touch. Corrections are the ones we act on fastest.

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