How to Build a Google News Headline Agent

A Google News headline agent is a structured workflow that gathers, normalizes, ranks, and returns recent headlines while maintaining transparency and reliability by citing sources. It avoids pretending to be a news organization, inventing headlines, or directly scraping Google result pages, which can lead to legal issues and unreliable outputs. Instead, it fetches headlines from approved sources like RSS feeds, licensed news APIs, and internal content feeds, ensuring that the output is based on real, verifiable data. The workflow involves several components, including request parsing, source adaptation, normalization, deduplication, ranking based on explicit rules, and briefing generation. This setup ensures that the agent provides fresh, accurate, and cited headline briefings without the pitfalls of model opinion or unsourced claims. The LLM (Large Language Model) is utilized to format and explain the result rather than create content, with strict validation and citation practices ensuring the integrity and trustworthiness of the output.

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