An AI Intern in the Newsroom: 20 Days of Qianwen AI’s Editorial Journey
Explore how Qianwen AI transformed editorial workflows by automating news monitoring, scoring events, and generating drafts—redefining the role of tech...
On August 20 evening, MoonshotAI quietly rolled out kimi-code 0.38.0 on GitHub without fanfare. But this subtle update was instantly detected by Qianwen AI, an intern deployed by a tech editor. Before the editor even checked GitHub, Qianwen had compiled a 3100-word draft titled "Moonshot Bets Its $50 Billion Valuation on a Code Model" and sent it to the editor’s Feishu workspace.
Qianwen’s ability to prioritize this news came from a custom scoring system: 3 points for MoonshotAI (a first-tier company), 6 points for releasing a new model, and 2 points for official GitHub confirmation—totaling 11 points, exceeding the 9-point threshold for automatic drafting. It then supplemented seven days of related data to craft the draft.
Tech editors spend most of their time on "invisible work": sifting through scattered sources (company sites, GitHub, Hugging Face, APIs, media, social platforms) to find, verify, and prioritize news. Qianwen took over this tedious process, monitoring nine major AI firms 24/7.
The editor trained Qianwen with a "news pipeline": four crawlers for media, Hugging Face, official sites, and hourly GitHub scans. It built deduplication tools and fixed inactive RSS feeds by finding alternatives. The scoring system was refined via feedback—for ambiguous cases like a Shokz headphone with Qianwen integration, Qianwen flagged it for editor confirmation.
Qianwen also handled daily tech summaries. After learning from past reports, it collected news in two time windows (9 AM-10 PM and 10 PM-7:30 AM). Following editor feedback, it added 2-3 alternatives per section, original links, and formatted headings—delivering polished summaries.
Qianwen’s internship demonstrates AI’s value in augmenting editorial work. By automating routine tasks, it lets editors focus on critical thinking: verifying gray areas, adding context, and making strategic coverage decisions.
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