1. Design an evidence-first AI workflow
Applied AI · Separate retrieval, extraction, validation and final factual review.
Explore & practiseInvestigate a mistake. Solve a small challenge. Build a case you can defend. Original resources that help you move from reading to doing.
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Semantic retrieval, structured extraction and evidence-based factual review.
Applied AI · Separate retrieval, extraction, validation and final factual review.
Explore & practiseApplied AI · Encode meaning-related text and compare it with a transparent keyword baseline.
Explore & practiseApplied AI · Use relevance labels, ranking metrics and separate abstention cases.
Explore & practiseApplied AI · Build a narrow deterministic baseline before considering a generative extractor.
Explore & practiseApplied AI · Enforce types, fields and failure behavior while keeping factual checks separate.
Explore & practiseApplied AI · Distinguish supported, contradicted and insufficient claims with a reproducible rubric.
Explore & practiseApplied AI · Keep document content outside application permissions and tool authority.
Explore & practiseApplied AI · Write an operating contract that distinguishes actual measurements from assumptions.
Explore & practiseApplied AI · Build a small evidence report that makes model, parser and reviewer limitations visible.
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