Principles & Methodology

AI Daily Brief is a calm, reading-first briefing that respects your attention.

How this brief is built

AI Daily Brief is a reading-first briefing, not a news feed or social timeline. Each edition is meant to be read in a few focused minutes, not scrolled endlessly.

It starts from a curated set of high-signal sources—not from the open web. Items are collected from those feeds, ranked for relevance and clarity, and organized into a small set of sections.

Each edition is intentionally small: a shortlist of items worth attention, not everything published today.

Boundaries

To set clear expectations, this product is not trying to be:

  • A general news aggregator covering every AI headline.
  • A social feed ranked by engagement, trends, or virality.
  • A personalized recommendation engine in this version—there are no accounts and no per-user tuning.
  • An exhaustive archive of every AI-related article, post, or video on the internet.
  • A substitute for reading original or primary sources. The briefing links out; it does not republish full articles.

Product principles

  • Relevance over virality: selection favors signal and fit for builders, founders, and strategic readers—not hype or volume.
  • Primary source first: when multiple outlets cover the same story, the briefing prefers official posts and canonical URLs.
  • Signal over volume: each update cycle shortlists a small set. Selected items receive short summaries to support scanning.
  • Readable in about ten minutes: the homepage is structured as Top Stories, Worth Reading, Long Reads, and Long Watch.
  • Stable pipeline: public feeds are ingested on a regular schedule, then ranked and organized before each edition is published.

Source-first methodology

Why sources matter

The brief is only as good as the sources feeding it. We prioritize official announcements, research blogs, and high-signal industry voices over general commentary and reaction posts.

How sources are chosen

Sources are selected for signal density and relevance to AI product, capability, ecosystem, and business impact—not for publishing volume or virality. The aim is a steady stream of material worth a strategic reader's time.

What happens at ingest

Feeds are checked for basic viability: enough items and recent activity. Failed or empty feeds do not enter the pool silently—they are skipped until they recover or are removed from the active set.

Linking, not republishing

Cards show a short summary and an explicit outbound link to the publisher. If a feed item is commentary on an announcement, the briefing prefers the official announcement when it appears as a separate item. No paywalled sources are integrated, and no authentication is required to read the briefing.

Ranking and selection

Selection is designed to prioritize what matters—not to mirror every feed in chronological order.

  • Signal over recency: newer items matter, but a strong official announcement can outrank a weaker hot take on the same story.
  • Official and primary voices first: company and research-lab posts are favored over commentary-only coverage when they cover the same event.
  • Morning and evening editions: the evening brief slightly favors items that did not appear in the morning edition, so the day's mix can shift without repeating the same headlines.
  • Quality thresholds: each section has a minimum bar so the homepage stays readable, not exhaustive.
  • Not a popularity contest: ranking favors clarity, originality, and fit with the section—not clicks, shares, or raw feed volume.

How items are organized

Each briefing edition groups items into four modules. An item appears in one primary section based on its topic and format.

Top Stories

Purpose: technology, capability, ecosystem, and primary signals—what builders and strategists should know about the state of AI today.

Examples: model releases, platform updates, research breakthroughs, major product launches, infrastructure shifts.

Worth Reading

Purpose: business application, transformation, and operator and strategist voices—how AI is changing work, organizations, and markets.

Examples: enterprise adoption, organizational shifts, business model changes, consultant and operator perspectives.

Long Reads

Purpose: deep written material for when you have more time—essays and analysis that reward a longer read.

Examples: long essays, research deep dives, founder and operator interviews, strategy pieces.

Long Watch

Purpose: long-form video or talks worth watching later—material that needs time and attention, not a quick scan.

Examples: conference talks, keynotes, long-form interviews, technical discussions.

Manual sources

You can extend the curated source set by adding public RSS, Atom, or YouTube channel feeds through Add Source. Each submission is checked for basic validity before it enters the system.

Manual sources are tagged by module—Top Stories, Worth Reading, Long Reads, or Long Watch—and treated like other enabled sources during future brief runs. This version does not offer delete or edit source management in the UI; manual additions are intended for personal alpha use.

Source categories

Official / primary

Company research blogs and product announcements where available as public feeds.

Industry / media

Major tech publishers and curated industry discussion from high-signal community feeds.

Long-form

YouTube channel feeds for long talks and keynotes, plus long reads when they appear in other feeds.

Example sources (v1)

The live source set evolves over time and is maintained separately. The list below is a representative sample, not a complete inventory.

Official / primary

  • OpenAI Blog
  • Anthropic News
  • Google DeepMind Blog
  • NVIDIA Blog
  • Meta AI Blog
  • Microsoft AI Blog
  • Hugging Face Blog

Industry / media

  • TechCrunch AI
  • MIT Technology Review (AI topic)
  • The Verge (AI)
  • VentureBeat AI
  • Curated industry discussion feeds

Long-form video

  • YouTube — Google Developers
  • YouTube — Hugging Face