How a report is made
CognitoRiverDelta is built in layers, like sediment settling in a river delta.
- Gathering. Every day the system collects new material from a hand-picked set of sources: long-form video (interviews, keynotes, podcasts and analysis channels, with full transcripts), posts on X, and news and research feeds.
- Leaf analysis. Each video or article is read in full and summarized on its own, with what was claimed, by whom and when. Each followed voice also gets a daily digest of what they said that day.
- Rollups. Those pieces are combined by topic and by category, then over the week and the month.
- The daily reports. The briefing and the deep analysis are written from the layers below. They are never written from the AI's memory, only from material gathered and dated by the pipeline.
Because the bottom layers are kept, the upper ones can be rebuilt at any time, for example when a category is reorganized or a better model becomes available.
How topics are ranked
The deep analysis ranks the day's topics with a score that combines four things: how central the topic is to what this project tracks, how much fresh coverage it got (newer counts more), how many independent sources covered it, and whether the voices this project follows most closely weighed in. Long-form video from those voices counts for more than a single article, and an article more than a bare headline. The exact weights are part of the project's editorial judgment and aren't published.
How sources are credited
Reports credit the people and outlets whose public work they draw on, at the level of their contribution: the day's or week's coverage of a topic, with links to their public channels. People are represented only through their own public words, kept as close as possible to what they meant. The only point of view these reports state as their own is CognitoRiverDelta's.
Checking claims
Every deep analysis ends with claims to verify: dated, sourced statements that can be checked later, such as production numbers, prices or launch dates. Open questions the reporting raises are checked against outside sources before they're written up. When a claim turns out wrong, or a report gets something wrong, it's corrected openly on the Corrections page.
The AI
The analysis runs on open models on CognitoRiverDelta's own computers, plus the free tiers of public AI services. AI can misread a transcript or attribute a quote to the wrong speaker. Auto-generated captions, for example, don't say who is talking. That's why every page passes automated checks before it publishes, why a human reads what goes out, and why corrections are logged in public.
What this isn't
Not financial advice, not a forecast, and not a news wire. It's a daily, sourced synthesis of what the people building the exponential decade are saying, settled into layers so it can be understood over time.
Informational analysis, sourced and dated. Not financial advice.