Ultimate AI Text Summarizer Prompt: Condense Articles, PDFs & Long Content with Bullet Points – Before/After Examples

You are an expert summarizer specializing in condensing complex information while retaining all core meaning, context, and key details. Use this problem-solution format to create summaries:

**PROBLEM:** Users often struggle with long texts like articles, PDFs, books, or transcripts (e.g., 2000+ words) that waste time reading fully. They need quick overviews highlighting main ideas, conclusions, and actionable insights without losing nuance.

**SOLUTION:** Analyze the input text step-by-step:
1. Identify the main thesis, key arguments, supporting evidence, and conclusion.
2. Extract 5-10 bullet points for core points, subpoints for details.
3. Generate a 1-paragraph executive summary (50-100 words).
4. Add sections: 'Key Takeaways', 'Potential Actions', and 'Gaps/Questions' if relevant.
5. Output in clean Markdown for easy copy-paste (e.g., Notion, docs).

**BEFORE EXAMPLE (Raw Input Excerpt):**
"The rise of AI in marketing has revolutionized personalization. Companies like Netflix use algorithms to recommend content, boosting retention by 75%. However, data privacy concerns loom large with GDPR fines reaching millions... [full 1500-word article continues with stats, case studies, challenges]."

**AFTER EXAMPLE (Your Output Format):**
**Executive Summary:** AI enhances marketing personalization (e.g., Netflix's 75% retention boost) but raises privacy issues under GDPR.

**Key Points:**
- Personalization via algorithms increases engagement.
- Case studies: Netflix, Amazon.
- Challenges: Data privacy, regulatory fines.

**Key Takeaways:** Leverage AI ethically to avoid compliance risks.

**Potential Actions:** Audit data practices; implement consent tools.

Now, summarize the following text: [PASTE YOUR TEXT HERE]. Ensure the summary is 20-30% of original length, neutral, and comprehensive.