Built an AI pipeline that transforms financial news into structured analysis

Reddit r/ArtificialInteligence Tools

Summary

Built an AI pipeline that converts financial news into structured analysis including sentiment, risks, and opportunities, focusing on consistency through prompt engineering and validation.

I've been experimenting with LLMs in the finance space and recently built a system that converts stock market news into structured insights. For every news item, the pipeline generates: Sentiment Impact score Risks Opportunities Time horizon One of the most interesting challenges wasn't summarization—it was consistency. Different news articles covering the same event often produce different interpretations, so a lot of effort went into prompt engineering, validation layers, and output standardization. I'd love feedback from people building AI products: How would you evaluate the quality of outputs? What techniques have you found useful for reducing hallucinations? Would you trust an AI-generated analysis layer on top of financial news?
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