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ZéroJour Prints a Daily Cybersecurity Newspaper Directly from Structured Data Queries

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ZéroJour is an automated newspaper concept that generates its pages entirely from structured cybersecurity advisory datasets using GROQ queries, with sections like the front page drawn directly from the CISA Known Exploited Vulnerabilities catalog. The project was built by reusing a dataset originally created for a separate agent called Path One, meaning the engineering focus was editorial — how to map schema fields to newspaper sections — rather than data retrieval. Crucially, the system deliberately excludes large language models from composing articles; instead, a deterministic template fills each piece from typed advisory fields, avoiding AI-generated paraphrasing of factual data. A built-in editorial workflow requires a human editor to advance any draft through review to publication, and the published byline explicitly states that the machine composed the article while a human signed off. The developer also documented two key pitfalls encountered during development: a live data wire that mistakenly appeared to be a source of truth, and a ghost server process that silently served a stale build and corrupted early drafts.

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ZéroJour Prints a Daily Cybersecurity Newspaper Directly from Structured Data Queries · ShortSingh