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The March 2026 PolyAI Agent Studio release improves how teams review and debug conversations, with deeper visibility into source content and large-scale conversation analysis. Expand the items below for details:
source-hub-file-previewEach conversation turn now shows a Sources tag listing the Connected Knowledge files the agent retrieved. Click a source name to open a side panel showing the exact document content used to generate the response.What’s new:
  • Sources tag appears beneath each turn, alongside Matched topics.
  • Click any source name to open an inline preview panel.
  • The panel shows the retrieved text chunks from the source document.
  • An Open in Knowledge button links directly to the source in the Knowledge area.
  • Toggle Sources in the Diagnosis dropdown to show or hide this layer.
Why it matters:
  • See exactly what content the agent was working from on any given turn.
  • Faster debugging when retrieved content is unexpected or incomplete.
  • No need to leave Conversation Review to check the source document.
deep-samplingSmart Analyst now uses a sub-agent to analyze up to 500 conversations for patterns – a 10× increase from the previous 50-conversation limit.What’s new:
  • Analyze up to 500 conversations per query (previously 50).
  • Conversations are sampled either randomly or based on a metric / PolyScore.
  • Ask questions like “What do customers complain about?” or “How can we reduce handoffs where users ask to speak to a human?”
  • Get directional insights on behavior frequency where no metric is present.
  • Deep sampling helps uncover patterns that smaller samples might miss.
Example use cases:
  • Identify common complaint themes across a large sample
  • Analyze handoff reasons with statistically meaningful data
  • Discover edge cases and rare conversation patterns
  • Validate hypotheses about customer behavior at scale
Last modified on May 27, 2026