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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…

llms.txt40 starsChanged 6 months ago
# 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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