A news and knowledge platform that tracks current events across the topics you care about, writes coherent articles about them with sources cited, and evaluates every article for bias — with visible evidence — so you make the call.
Automatically finds current events across a tracked set of topics using a consistent AI model and prompt, so the output shape stays stable across days, weeks, and years.
Pulls from multiple sources and writes a full article with citations. Same model, same prompt shape, consistent structure every article.
Every article joins a growing archive that feeds retrieval-augmented generation. Each new run has more context to work from than the last — the system gets smarter and more on-topic with every article written.
Every article is scored, and the specific evidence behind the score is shown. You see what tilted the piece, not just that it did. Read how the bias engine works →
Even a model designed to be neutral drifts. The article's title, the initial sources cited, the model's own weighting from previously covered topics — all of it steers the writing somewhere. Rather than pretend that away, we surface it. Every article carries an honest read: where it leans, why it leans that way, and the evidence for both sides.
Not right or wrong. Not left or right. Not red or blue.
We present topics as they appear in the public conversation, from multiple angles, with the bias math shown openly. You decide what to make of it.
With so many sources fighting for attention, our job is simple: show good content, evaluate it honestly, and get out of your way.
We didn't want to name ourselves into a corner. “The Everything of Everything” keeps the door open — because interesting topics don't respect categories.
Est. 2026. Online Edition.
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