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Reference Materials

If you didn’t provide it, it doesn’t get invented. Reference materials give DraftLift factual grounding. Upload documents, paste URLs, or add text directly — the AI uses them as primary sources during generation. No hallucinated statistics. No fabricated quotes. No “studies show” without an actual study.

Supported formats

FormatHow it works
PDF documentsUpload PDFs — DraftLift extracts text content automatically
Web URLsPaste a URL — DraftLift fetches and extracts the page content
Plain textPaste text snippets directly for quick reference

Adding reference materials

  1. Navigate to Reference Materials in the sidebar
  2. Click Add Reference Material
  3. Choose your format (document upload, URL, or text)
  4. Add a title for easy identification
  5. Save — the material is now available for use in generation
Search and filter your reference library by title or content as it grows.

Using references in generation

Select reference materials during Step 1 of the generation pipeline. You can choose multiple references to provide comprehensive context. When references are included:
  • The AI treats them as primary sources — it draws facts, data, and quotes from your materials
  • It does not invent statistics, fabricate quotes, or hallucinate data points not present in your references
  • When the vessel supports citations, source URLs are linked naturally within the text
  • Reference content combines with your memories and vessel rules to produce output that’s both factually grounded and voice-consistent

Getting the most from references

  • Use specific sources. A research report or detailed article gives the AI rich material. Generic references produce generic output.
  • Combine with memories. References provide the facts. Memories provide your perspective. Together they produce content that’s informed and authentic.
  • Keep references current. Outdated data leads to outdated content.
  • Use multiple references. For comprehensive content like blog posts, several complementary references give the AI a broader factual foundation.