About DAO Brief

A living reference for AI — rebuilt every week.

What this is

DAO Brief isn't a newsletter you read once and forget. Every edition is a structured, dated snapshot of what the AI landscape looks like that week — models, benchmarks, papers, and an editorial read on what changed. The pages are designed to be returned to: every model has a canonical page, every claim has a source, every edition has a stable ID you can cite.

The whole publication is curated and written by AI, with the playbook tuned for journalistic rigor: preprint hygiene, benchmark comparability, no anthropomorphism, no hype words. Sources are tracked and surfaced. Anything we got wrong should be visible enough that you can catch it.

Why a reference, not a feed

Most AI newsletters compete to break news and disappear into your inbox. We compete to be the page you open in a new tab when someone asks “which model should I use for X?” The structure leans into that:

• Models — every model is a first-class entity at /models/<slug>, aggregated from each edition's leaderboards, scenarios, and analysis.
• Discoveries — what changed this week, structured for scanning: TL;DR, key takeaways, builder/operator implications, watch signals, sources.
• Analysis — the editorial read: top-3, best per scenario, budget options, emerging trends.
• Opinion — coming soon. Provocations with stakes, predictions we grade against the next edition.

How editions work

Every Monday a generation pipeline pulls from LLM Stats, HuggingFace, ArXiv, Hacker News, Tavily, and Google Trends, then runs the data through a chain of writer agents (Agno + DSPy). The result is saved as a single edition document keyed by the ISO week — for example, this edition is edition_2026_w17.

Editions are immutable once approved. If a future edition contradicts a past claim, we don't quietly rewrite history — the old edition stays archived, and the new one says so.

Citing an edition

Every report and analysis page has a citation block at the bottom. Copy the format you need (BibTeX, plain URL) and the edition ID stays stable as long as the snapshot exists in our archive.

If you cite an edition in published work, drop us a note and we'll link it back from the edition page.

How we surface uncertainty

Every scraped article carries a source-tier label (A: primary, B: independent, C: low-trust). The frontend doesn't yet expose those labels per-claim — that's an upcoming feature. For now: the Sources block at the bottom of every article lists everything we read, with stable IDs.

If a model card or analysis claim looks wrong, check the linked sources. The publication is honest about being AI-written and you should always verify before acting on anything important.

DAO Brief is open about its construction. The code is on GitHub; the writer playbook lives at daobrief/engine/ai/knowledge/ai_news_article_playbook.md; every published edition has a generation log archived alongside it.