Source browser is an AI UX pattern that shows the original documents or passages beside (or linked from) the generated answer so users can verify claims in context. Highlights map answer spans back to source excerpts, making RAG and research outputs auditable instead of black-box.
Perfect for legal research tools, document analysis applications, and platforms where side-by-side source verification builds trust and enables fact-checking.
| Product | Implementation |
|---|---|
| ChatPDF / document Q&A tools | Keeps the PDF open beside answers and scrolls to cited pages. |
| Perplexity | Sources panel and previews support claim-level inspection beyond chat text. |
| Notion AI / enterprise RAG | Opens linked workspace pages or snippets that the answer drew from. |
| Legal research platforms | Dual-pane reading of opinions or filings next to AI summaries. |
Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.
Generate a production-ready implementation of the "Source Browser" AI interface design pattern.
Pattern Definition:Spain is the clearest favorite for the 2026 World Cup: bookmakers and prediction markets keep them priced first, with Brazil and France close behind.
Odds move quickly after openers. Japan already climbed after a strong start, and market prices compress as more games land.
How shipped products implement source browser, from our teardown guides.
A source browser is a side panel or dual-pane view of the documents or passages the model used, often with highlights tied to claims in the answer so users can verify context without leaving the product.
Citations mark which claim maps to which source. The source browser is where users go after clicking a citation to read the underlying passage. Strong trust UX usually needs both.
Use dual-pane for document-heavy work (contracts, PDFs, codebases) where users compare answer and source continuously. Use a compact list or drawer for web search answers on small screens.
Collapsible thinking and tool traces
Hover for source
Show how sure the model is about a claim
Concrete actions to validate uncertain output
Visualizing RAG
Attach verifiable sources to generated claims