AI-News-Briefing
hoangsonww/AI-News-Briefing/llms.txt
Open-source automated daily AI news briefing pipeline. Multi-engine CLI (Claude, Codex, Gemini, Copilot) drives an agentic prompt that searches the web, deduplicates against prior coverage, compiles a two-tier briefing, and publishes to Notion, Microsoft Teams, Slack, and an Obsidian vault. Ships with a 10-plugin research ops ecosystem and a 5-axis LLM-as-judge quality eval harness. This file follows the llms.txt convention so AI assistants and language models can find authoritative project documentation directly. Markdown links point at the canonical source for…
# AI News Briefing > Open-source automated daily AI news briefing pipeline. Multi-engine CLI (Claude, Codex, Gemini, Copilot) drives an agentic prompt that searches the web, deduplicates against prior coverage, compiles a two-tier briefing, and publishes to Notion, Microsoft Teams, Slack, and an Obsidian vault. Ships with a 10-plugin research ops ecosystem and a 5-axis LLM-as-judge quality eval harness. - Repo: https://github.com/hoangsonww/AI-News-Briefing - Wiki: https://hoangsonww.github.io/AI-News-Briefing/ - License: MIT - Maintainer: Son Nguyen (hoangsonww) This file follows the [llms.txt](https://llmstxt.org) convention so AI assistants and language models can find authoritative project documentation directly. Markdown links point at the canonical source for each topic. ## Core documentation - [README](https://github.com/hoangsonww/AI-News-Briefing/blob/main/README.md): User-facing setup, topic scope, scheduler installation, Makefile commands, Teams + Slack + Obsidian delivery overview. - [ARCHITECTURE](https://github.com/hoangsonww/AI-News-Briefing/blob/main/ARCHITECTURE.md): Component-level architecture, design decisions, operational constraints, and the eval harness section (§3.14). - [E2E_FLOW](https://github.com/hoangsonww/AI-News-Briefing/blob/main/E2E_FLOW.md): End-to-end execution contract — trigger, AI execution, delivery pipelines, post-publish eval gate, failure paths. - [SETUP](https://github.com/hoangsonww/AI-News-Briefing/blob/main/SETUP.md): Full setup guide for all four AI CLI engines, Notion MCP, Obsidian vault, webhooks, scheduler install, verification. - [TESTS](https://github.com/hoangsonww/AI-News-Briefing/blob/main/TESTS.md): 201 non-blocking tests across Bash and PowerShell, plus 10 Python unittest cases for the eval harness. - [LOGS](https://github.com/hoangsonww/AI-News-Briefing/blob/main/LOGS.md): Log tailing, search, summarize, export, cleanup. ## Custom topic research - [CUSTOM_BRIEF](https://github.com/hoangsonww/AI-News-Briefing/blob/main/CUSTOM_BRIEF.md): Custom topic deep research CLI, multi-agent prompt architecture, Notion + Obsidian publishing, comparison with the daily briefing. - [prompt-custom-brief.md](https://github.com/hoangsonww/AI-News-Briefing/blob/main/prompt-custom-brief.md): The multi-agent research prompt template (Agents 1–5, Phases 1–3). ## Plugin ecosystem (10 plugins for Claude Code / Codex / Gemini) - [PLUGINS](https://github.com/hoangsonww/AI-News-Briefing/blob/main/PLUGINS.md): Plugin developer manual. - [claude-plugins/README](https://github.com/hoangsonww/AI-News-Briefing/blob/main/claude-plugins/README.md): Claude Code marketplace + plugin layout. - [Marketplace manifest](https://github.com/hoangsonww/AI-News-Briefing/blob/main/.claude-plugin/marketplace.json): Catalog (ai-news-briefing, last30days, trend-spotter, earnings-analyzer, paper-reader, competitor-intel, repo-auditor, podcast-summarizer, startup-scout, crypto-tracker). - [Codex plugins](https://github.com/hoangsonww/AI-News-Briefing/blob/main/plugins/README.md): Mirrored 10-plugin ecosystem for the Codex CLI. - [Gemini extensions](https://github.com/hoangsonww/AI-News-Briefing/tree/main/gemini-extensions): Gemini CLI extension manifests. ## Delivery integrations - [NOTIFY_TEAMS](https://github.com/hoangsonww/AI-News-Briefing/blob/main/NOTIFY_TEAMS.md): Teams webhook setup, Adaptive Card schema, multi-webhook configuration. - [NOTIFY_SLACK](https://github.com/hoangsonww/AI-News-Briefing/blob/main/NOTIFY_SLACK.md): Slack webhook setup, Teams-to-Block-Kit conversion, troubleshooting. - [teams-to-slack.py](https://github.com/hoangsonww/AI-News-Briefing/blob/main/scripts/teams-to-slack.py): Pure-stdlib Python converter from Microsoft Teams Adaptive Card JSON to Slack Block Kit. ## Quality eval harness - [eval/README](https://github.com/hoangsonww/AI-News-Briefing/blob/main/eval/README.md): 5-axis rubric (factuality, novelty, source diversity, signal density, coherence), judge backends (stub / claude / codex / gemini), SQLite store schema, drift detection, golden-set regression, publish gate, weekly Markdown report. - [eval/rubric.md](https://github.com/hoangsonww/AI-News-Briefing/blob/main/eval/rubric.md): Axis definitions, weights, pass thresholds. - [eval/judge_prompt.md](https://github.com/hoangsonww/AI-News-Briefing/blob/main/eval/judge_prompt.md): Versioned judge prompt (v1). ## Optional - [Makefile](https://github.com/hoangsonww/AI-News-Briefing/blob/main/Makefile): Cross-platform operator interface — run, schedule, custom brief, eval, log, validation, status. - [Docker](https://github.com/hoangsonww/AI-News-Briefing/blob/main/Dockerfile): Containerized runtime, GHCR-published image. - [example-cards/](https://github.com/hoangsonww/AI-News-Briefing/tree/main/example-cards): Real adaptive-card JSON outputs from past daily runs, used by the eval harness for backfill. - [Contact](https://sonnguyenhoang.com): Maintainer site for Son Nguyen.
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