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Documentation Index

Fetch the complete documentation index at: https://deepline.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

Use this for discovery-heavy tasks where you need context and summary output.

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Workflow

  1. Seed search queries.
  2. Run broad discovery.
  3. Deepen only the top matches.
  4. Synthesize into briefs.
Keep discovery broad, then spend deeper research credits only on promising rows.

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Claude Code Prompt

Use research-queries.csv and build a two-pass Deepline research workflow:
1) broad discovery for each query
2) deeper research only for the top matches
3) synthesize a short brief per row

Run rows 0-3 first and write output to research-queries-output.csv.
Return:
- the action chain you used
- evidence links used for each brief
- a cost-conscious scaling plan for rows 4+

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Why This Layout Is Efficient

  • Async depth is isolated to high-priority hits.
  • You avoid overpaying for unnecessary deep research.
  • You can route the output directly into review workflows.
View source on GitHub | I Have X, I Want Y →