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)