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Thoughts, articles, and resources on software development, SaaS, and digital growth.

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Filtering by tag: Data reliability
  • AI belongs after the data is clean, not before

    AI belongs after the data is clean, not before

    Most AI research tools get the pipeline backwards. They apply language models to raw, unfiltered data and call the output intelligence. Here is why sequence matters more than model quality, and what a well-ordered pipeline looks like in practice.

    Apr 17, 2026
    AI toolsResearch methodologyResearch engineering +1
  • Why deterministic RAG beats generative AI for research

    Why deterministic RAG beats generative AI for research

    Generative AI prioritises creativity over factuality. Research requires the opposite. Here is how source-anchored RAG with zero-temperature inference produces outputs that are traceable, repeatable, and legally defensible.

    Mar 28, 2026
    RAGLLM infrastructureResearch engineering +1

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