very-long-text-summarization
Very Long Text Summarization
Processes texts too large for a single context window using hierarchical multi-pass extraction with armies of cheap models. Produces structured knowledge maps, indexed summaries, and skill drafts — not just prose compression.
When to Use
✅ Use for:
- Professional handbooks and textbooks (100-1000+ pages)
- Career biographies and memoirs (extracting expertise patterns)
- Large codebases (architecture-level understanding)
- Research paper collections (synthesizing findings across papers)
- Any text exceeding a single context window (~100K tokens)
❌ NOT for:
- Short documents (<10 pages) — just read them directly
- Real-time conversation summarization (use auto-compact patterns)
- Code documentation generation (use
technical-writer)
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