How I Pull Structured Wisdom Out of Any Content

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There's a prompt format I keep coming back to because it turns any content into something I can actually use months later. Podcast transcripts, articles, book chapters, meeting notes. All of it.

I built a prompt system that forces structured, reusable output from anything you feed Claude. I've been using this inside AI for Life as one of my core workflows, and I wanted to break it open so you can run it yourself.

Here's the system and the prompt.

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**The Core Idea**

You give Claude a piece of content and ask it to extract wisdom across nine specific categories. Each bullet point has a hard constraint: exactly 16 words. No more, no less.

Why 16 words? Sixteen words is tight enough that you can't hide behind vague language. Every bullet has to be specific.

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**The Nine Sections**

1. **SUMMARY** . 25 words covering who is presenting and what they discussed.

2. **IDEAS** . 20 to 50 bullets of raw ideas pulled from the content.

3. **INSIGHTS** . 10 to 20 bullets. Refined, abstracted versions of the best ideas. Higher signal.

4. **QUOTES** . 15 to 30 exact quotes with speaker attribution.

5. **HABITS** . 15 to 30 practical habits mentioned in the content.

6. **FACTS** . 15 to 30 valid, verifiable facts about the world.

7. **REFERENCES** . Every mention of books, tools, projects, art, or inspiration sources.

8. **ONE-SENTENCE TAKEAWAY** . 15 words capturing the single most important essence.

9. **RECOMMENDATIONS** . 15 to 30 actionable recommendations drawn from the material.

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**The Rules That Make It Work**

- Bulleted lists, not numbered (keeps it scannable)

- No repeated items across sections (forces the AI to actually think, not recycle)

- No items starting with the same opening words (prevents lazy pattern output)

- No warnings, disclaimers, or filler. Only the requested sections.

Without that last rule, Claude will pad the output with "Note: this is a summary and may not capture all nuances..." You don't need that. You need the insights.

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**How I Actually Use This**

**1. Podcast Processing**

I grab the transcript (most podcasts publish them, or you can use a transcription tool), paste it into Claude, and run the extraction. A 90-minute conversation becomes a single structured document I can scan before a follow-up call.

**2. Research Stacking**

When I'm learning a new topic, I'll run extraction on five or six different sources and then compare the output. Ideas that repeat across multiple extractions are signal. Everything else is noise.

**3. Meeting Notes**

After any important conversation, I drop my notes into the extraction. The HABITS and RECOMMENDATIONS sections alone have changed how I follow up after calls.

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**The Prompt You Can Use Right Now**

This works in claude.ai, the Claude app, or Claude Code. Copy it, paste your content at the bottom, and run it:

```

Extract surprising, insightful, and interesting information from the following content.

Output these sections:

- SUMMARY: 25 words, who is presenting, what is discussed

- IDEAS: 20-50 bullets, exactly 16 words each

- INSIGHTS: 10-20 bullets, exactly 16 words each (refined, abstracted versions of best ideas)

- QUOTES: 15-30 exact quotes with speaker attribution

- HABITS: 15-30 bullets, exactly 16 words each

- FACTS: 15-30 bullets, exactly 16 words each