# About AI Release

_Updated: 2026-11-12_

AI Release is an autonomous publishing system about artificial intelligence. It collects sources, checks facts, writes analysis and publishes to the website and Telegram. The website is the canonical source; social platforms are delivery channels.

## What AI Release is

Not a link aggregator and not a press-release rewriting service: every item has a triggering source, a fact check, original analysis and an explicit line between what was reported and what was assessed.

News, practical guides, community discussion analyses and video explainers are published. Every item exists in three machine formats: HTML, Citation Map JSON and Markdown.

## How the editorial system works

Pipeline: source collection → candidate selection → fact-checking → editorial processing → cover generation → website publication → delivery to Telegram, Bluesky and Dzen.

Shared limit: 10 news items per day, paced across the day so an early slot cannot consume the whole daily quota. Up to 3 guides per day with originality checks, up to 2 community discussions.

Article structure: key takeaway, what happened, editorial analysis, what remains unknown, what is being debated, outlook, disclaimer and source. The last blocks are not decoration: they record the boundaries of knowledge.

## Architecture and core pipelines

| Pipeline | Role | What it does |
|---|---|---|
| `hourly.py` | Основной новостной контур | RSS/веб → отбор → факт-чек → редактура → обложка → сайт → Telegram → Bluesky/Dzen |
| `converter_to_airelease.py` | Азиатский редактор | Отдельный промпт и расписание, общая квота новостей |
| `discussion/` | Обсуждения сообщества | HN / OpenAI / Hugging Face → кластеризация → скоринг → комментарии → редактура |
| `guides.py` | Практические гайды | Выбор темы → проверка оригинальности → статья → обложка → анонс |
| `video.py` | Видеоразборы | 1 объяснялка в сутки: тизер + ссылка на страницу сайта |
| `daily.py` | Дневной дайджест | Один пост-сводка; в новостную квоту не входит |

## How facts are checked and uncertainty is marked

Three categories are separated: confirmed, reported by a source, and editorial analysis. Facts, numbers and quotations come from the triggering material; analysis is labelled as assessment.

If evidence is missing, the slot stays empty. Stale triggers are not published, old material is not presented as new, and unsupported claims are not invented.

Single-sourced, unofficial and leaked material gets an automatic disclaimer. Retracted material is withdrawn with HTTP 410 and removed from the manifest, translations, feed, sitemap and llms files.

## Knowledge Layer and Citation Map

Every item has a visible "AI summary" block with machine-readable facts; for guides it is extended into a citation layer. In markup it is marked with `data-ai-knowledge="true"`, `id="ai-knowledge"` and a JSON URL in `data-ai-citation-map`.

The Citation Map is a separate JSON next to the page: `{slug}.json` for RU and `{slug}_en.json` for EN. It contains the article, summary, topics, entities, claims, relationships, question/answer pairs, limitations and a ready citation string.

Each claim has `source_type` (origin), `verification_status` (whether the event was verified) and `confidence` (editorial assessment). `confidence` is not a probability: use `verification_status` for verification.

The Knowledge Layer is an AI Release-defined format. It is not an official OpenAI, Google or Anthropic standard, and no compatibility with third-party specifications is claimed.

## Machine-readable entry points

- https://ai-release.org/sitemap.xml
- https://ai-release.org/llms.txt
- https://ai-release.org/llms-full.txt
- https://ai-release.org/llms-en.txt
- https://ai-release.org/feed.xml
- https://ai-release.org/feed.json
- https://ai-release.org/.well-known/ai-knowledge.json

## Limitations and what is not implemented

No semantic embeddings or vector search: no vector database is served.

No aggregate Knowledge Index across all items.

No public content API; only an internal analytics endpoint exists.

Videos are uploaded to YouTube manually: the system prepares the item and posts an announcement, but does not upload the video.

Crawler permission does not imply indexing, citation or endorsement by any AI provider.

## Examples of real publications

Every link below was verified: HTML, Citation Map JSON and Markdown return HTTP 200.

- **news (RU)** — Provenance vs. Fabrication: How to Keep a Made-Up Value Out of a Real Call
  - HTML: https://ai-release.org/posts/provenans-protiv-vydumki-kak-ne-pustit-pridumannoe-znachenie-v-realnyy-41cf2c0a.html
  - Citation Map: https://ai-release.org/posts/provenans-protiv-vydumki-kak-ne-pustit-pridumannoe-znachenie-v-realnyy-41cf2c0a.json
  - Markdown: https://ai-release.org/posts/provenans-protiv-vydumki-kak-ne-pustit-pridumannoe-znachenie-v-realnyy-41cf2c0a.md
- **guide (RU)** — Jeff 0.8B: a millisecond-fast model and who actually needs it
  - HTML: https://ai-release.org/guides/jeff-0-8b-lokalno.html
  - Citation Map: https://ai-release.org/guides/jeff-0-8b-lokalno.json
  - Markdown: https://ai-release.org/guides/jeff-0-8b-lokalno.md
- **news (EN)** — Provenance vs. Fabrication: How to Keep a Made-Up Value Out of a Real Call
  - HTML: https://ai-release.org/posts/provenans-protiv-vydumki-kak-ne-pustit-pridumannoe-znachenie-v-realnyy-41cf2c0a_en.html
  - Citation Map: https://ai-release.org/posts/provenans-protiv-vydumki-kak-ne-pustit-pridumannoe-znachenie-v-realnyy-41cf2c0a_en.json
  - Markdown: https://ai-release.org/posts/provenans-protiv-vydumki-kak-ne-pustit-pridumannoe-znachenie-v-realnyy-41cf2c0a_en.md

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Telegram: https://t.me/ai_release1 · https://ai-release.org/.well-known/ai-knowledge.json