Turn messy notes into a structured analysis table

You have 12 messy bullets from research calls about AI data tools. Some mention pricing in USD, some mention security, and some make vague claims like works well with spreadsheets. You need a table the team can filter. Define the output schema before extraction and use null for missing values. The novice trap is asking for a summary and then trying to reverse-engineer a table from prose. That loses missing values and source uncertainty. Step 1 Schema: source, claim, evidence, metric, unit, price_usd, confidence_1_to_5, assumption, next_check. The schema tells the model what to preserve. It separates evidence from assumptions and…

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