Step-by-step NotebookLM workflows from How I AI expert interviews. Each guide includes prompts, code snippets, and practical tips.
Use NotebookLM as a consistent additional judge by loading every pitch separately, applying an anchored rubric, and generating an evidence-linked ranking that complements human judges.
Convert static customer research into clearly labeled synthetic personas whose responses stay grounded in cited source material, then use them for exploration without treating them as real customer validation.
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