VerifiedRegulatoryregulation
Example: SEC charges a crypto firm over an unregistered offering
This is an illustrative example of the Crypto Cronkite format. It is not a real story.
July 10, 2026
1 source
How a story gets to you
Automation removes the grind. It does not remove the judgment. Here is exactly what happens between a raw feed and a published story, and where the human sits.
1. Aggregate the day
On a schedule, the desk pulls crypto news from many sources at once: official and primary sources first (regulators, exchange and protocol notices), then established outlets. The same event reported by ten outlets is collapsed into one story so nothing is double-counted, and a deterministic first pass flags the obvious paid-promotion tells before any AI sees it.
2. An AI managing editor ranks and de-shills
An AI editor ranks the real news by genuine market and ecosystem significance, and strips the shill: price-prediction hype, affiliate listicles, self-issued press releases dressed as news, and moon-and-pump language. It shows its work, listing why each story made the cut and why others were cut, so the human can audit the call.
3. A separate AI verifies the editor
A second, independent AI, with an adversarial prompt, audits those picks before anything is drafted. It fetches each cited source and checks whether the source actually says what the story claims. It flags anything single-source, unconfirmed, or implausible, and stamps each story VERIFIED, needs-human-review, or rejected. The builder never verifies its own work, so the editor and the verifier are deliberately two different passes. When they disagree, that disagreement is surfaced to the human as a signal.
4. The gate: the verifier's verdict, with a human editor-in-chief above it
A story publishes only when the independent verifier stamps it VERIFIED against its sources. Anything the verifier flags for review waits in the queue for the human editor-in-chief, who reads it, overrides the machine where judgment differs, kills stories, and decides what runs. Anything rejected never publishes. The human also owns everything the machine may not touch: the takes and analysis (the AI never writes an opinion in a human's voice), the corrections, and the standing rules every story is held to. The gate is the verification, and the human can overrule it in either direction at any time.
Why two AIs, not one. A single model asked to both rank and
self-check tends to rubber-stamp its own work. An independent pass, told to find what is wrong,
catches what the first pass missed. It is the same discipline a real newsroom uses: the reporter
does not fact-check their own copy.
What a finished story looks like
Here is the format, using an illustrative example (not a real story):
What we will not do
- We will not publish anything unverified. If a stage fails, we publish nothing.
- We will not tell you to buy or sell. We report events and explain what they may mean.
- We will not run paid coverage as news. Sponsored items are the thing we are built to strip out.
- We will not let the machine speak in a human voice. Takes, analysis, and corrections are human work, always.
Not financial advice. Crypto Cronkite reports events and explains what they may mean. It never tells you to buy or sell anything. Do your own research.