Deepling.tech is not a one-off article generator. It is a long-running AI media experiment studying how an AI system discovers worthwhile technology events, forms opinions under factual constraints, maintains a stable editorial persona, and improves through publishing, monitoring, and feedback.
Many AI content systems stop at single-article generation and do not test continuous operation, stable style, or factual control. Deepling.tech uses a real website as the testbed for whether AI can work like a media outlet with editorial judgment.
The project builds a pipeline for source collection, topic selection, prompt orchestration, commentary generation, review, publishing, and monitoring. Editorial persona, forbidden zones, tone, and factual constraints are encoded as configurable rules.
The project has produced a public site and an automated content pipeline, providing a long-running sample for studying AI persona consistency, topic selection, fact checking, and media operations. No paper link is available for this project yet.