兆候を拾い、
異才で分業し、
紙面を組み、
定時に届ける。
Autonomous Media Generation Autonomous Media Generation
Autonomous content generation is not merely a labor-saving tool to alleviate human editorial fatigue or manual CMS overhead. It is a fundamental experiment in integrating AI natively into the Web itself—turning static websites into living, autonomous knowledge ecosystems. Kamos Autonomous Media Generation realizes this vision: continuously ingesting real-world news, market trends, and academic research, establishing a specialized division of labor across AI agents for writing and translation, composing expressive layouts and hand-drawn graphic recordings, and autonomously publishing across the web, bilingual editions, and RSS podcasts on a dependable cadence.
Four Stages of Autonomous Media Generation
Rather than relying on a single one-shot prompt, the system decouples signal ingestion, multi-agent division of labor and translation, automated editorial typesetting, and scheduled broadcast into distinct, reliable stages.
Collecting Signals
Regularly crawls real-time current news (global politics, macroeconomics, social dynamics), preprint archives (arXiv, etc.), and technical documentation into structured databases.
Filters out superficial clickbait to extract structural transformations and primary context connecting world events with deeper technical and societal shifts.
Specialization & Division of Labor
Multiple specialized AI agents divide labor across distinct responsibilities—editorial commentary, technical analysis, societal impact, and multilingual translation (Japanese/English).
Rather than relying on a monolithic prompt, assigning specialized roles to distinct agents allows parallel synthesis, deep technical rigor, and rapid multilingual expansion without compromise.
Typesetting Pages
Harmonizes texts and translations resulting from the division of labor with automated graphic recordings (hand-drawn illustration synthesis), multi-column newspaper layouts, and responsive CSS styling.
Produces an editorial layout optimized for both quick morning skims and deep, concentrated reading sessions.
Delivering on Schedule
Executes autonomous web deployment, bilingual synchronized publishing, and audio summary (RSS) generation at preconfigured schedule intervals.
Transitioning from static, manually updated websites into an autonomous web ecosystem where the digital medium itself continuously synthesizes and circulates knowledge. Operating in full autonomy under normal conditions while sending email notifications to administrators in the event of generation failure, eliminating daily operational friction.
Autonomous Generation Cycle
An integrated, end-to-end publishing pipeline from real-time news and paper ingestion to multi-agent division of labor, translation, layout synthesis, and scheduled broadcast.
Collecting Signals
Continuous crawling of external signals, parsed directly into structured data pipes.
- Current Global News & Politics
- Macro Market & Social Dynamics
- Academic Preprints (arXiv, etc.)
Specialization & Division of Labor
Specialized AI agents divide labor across drafting, translation, and validation.
- Columnist Commentary & Opinion
- Multilingual Translation (JA / EN)
- Technical Validation & Fact Checks
Typesetting Pages
Harmonizes validated text with editorial spreads and hand-drawn graphic recordings.
- Multi-Column Newspaper Spreads
- Graphic Recording Illustration Synthesis
- Responsive Web Editorial Layouts
Delivering on Schedule
Autonomous publishing across web, podcasts, and RSS feeds on schedule.
- Autonomous Web Updates
- Bilingual Synchronized Publishing
- Audio Summaries (RSS Feeds)
- Email Notification on Generation Failure