Learn targeted extraction techniques that produce summaries people actually read and act on.
Before
Quarterly board meeting notes covering revenue, sales, marketing, product updates, and hiring plans...
After
Key Points: • Revenue: $4.2M (+15% YoY), driven by enterprise accounts • Sales: 3 major deals closed ($800K combined) • Marketing: Spend up 20%, but CAC improved 8% • Product: New dashboard — 72% adoption in first month • Hiring: Need 4 engineers for Q3 roadmap Action Items: • Resolve EU data compliance issue (deadline: June) • Build 6-month cash reserve per CFO recommendation • Begin engineering hiring process
Works with any text — articles, reports, contracts, notes
Tip
Tell the summary what to focus on. 'Summarize this' gives generic results. 'Extract action items and deadlines' gives useful results.
Your result will appear here.
Why Most AI Summaries Are Useless
Identify why generic summarization prompts produce vague, unhelpful output
Targeted Extraction Techniques
Use few-shot prompting to train AI on your specific extraction pattern
Advanced: Summarizing Complex Documents
Use chain-of-thought prompting to summarize documents with multiple arguments or competing perspectives