// SYSTEM.DOCS
HOW IT WORKS
AI Daily Digest is a fully automated AI engineering news briefing. Every day, the system collects articles from 23 sources, scores and filters them through a multi-stage pipeline, and generates a curated digest in three languages.
RSS feeds and APIs polled every 24h. Deduplicated by URL, filtered to last 24h window.
Composite score: source authority weight, multi-source verification, community engagement, timeliness decay.
All candidates sent to AI with editorial guidelines. 2–3 featured + 4–6 quick news, with story synthesis.
Editorial headlines + technical analysis in EN/ZH/JA via AI with domain terminology.
Featured stories are not just reprinted headlines — they are editorially synthesized by AI for engineers.
When multiple outlets cover the same event, the system merges them into a single narrative. E.g., The Verge + Ars Technica + Hacker News reporting on the same launch → one unified story with cross-referenced insights.
Original titles are rewritten from an engineer's perspective. Focus shifts to: what changed technically? What can I build now that I couldn't before? Business framing is replaced with technical implications.
Each story gets a 3–5 sentence technical breakdown: what's new → how it works (key specs, APIs, architectures) → what it means for your stack. Includes concrete details like model sizes, latency numbers, and framework versions.
Target audience: AI/ML engineers and developers.
- + New model releases with technical specs
- + Developer tools, SDKs, frameworks
- + Platform API changes
- + Security research, prompt injection
- + AI lab engineering blogs
- + Deployment infra & hardware
- - Business/finance news
- - Lawsuits, legal battles
- - Opinion pieces, hype/doom
- - AI novelty/gimmick stories
- - Marketing case studies
DISCLAIMER
Headlines and analysis paragraphs are generated by AI and may contain inaccuracies. This digest is for informational purposes only. All original reporting belongs to their respective sources.
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