Extract, then compress

Summarizing is the most reliable thing AI does, but "summarize this" is close to the worst instruction you can give it. A summary without a purpose returns a shorter version of everything, weighted by what sounded important in the text rather than by what matters to you. Purposeful summarizing — naming the decision you are trying to make — turns the same tool into something closer to a research assistant. The pattern that works is extract, then compress. First ask for the specific elements you need pulled out: obligations, deadlines, dollar amounts, named parties, conditions, anything that changed. Ask for them in a structured shape with a location reference, so you can jump back to the source and confirm. Only after you have the extracted facts should you ask for a narrative summary, and it should be built from those facts rather than from a fresh read. Two cautions apply every time. A summary is a lossy compression, so anything you will act on financially or legally must be checked against the original passage — the extraction step exists precisely to make that check fast. And length is not fidelity: a five-line summary that names every deadline beats a page of fluent prose that mentions none. When a document is genuinely long, work in labeled chunks and summarize the summaries, keeping the extraction structure constant so nothing silently drops between passes. Extraction protects you because it is checkable. A narrative summary cannot be audited against the source quickly, but a table with page references can be verified in under a minute. Keep the extraction structure identical across documents of the same type. Consistency lets you compare two quotes or two contracts directly rather than re-reading both from scratch. A franchise owner reviewing three supplier agreements used the same extraction table for all three and immediately saw that only one included a price-escalation cap. A summary of each would have buried that difference.

Key takeaways

• The pattern that works is extract, then compress.
• Two cautions apply every time.
• Extraction with locations gives you checkable specifics.

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