> ## Documentation Index
> Fetch the complete documentation index at: https://docs.poly.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# 03.2026

> March 2026 release notes.

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:

<AccordionGroup>
  <Accordion title="Sources in Conversation Review" icon="file-magnifying-glass" id="source-hub-file-preview">
    <img src="https://mintcdn.com/polyai/oJYezcMyRUCRUcF2/images/release-notes/2603/source-hub-file-preview.png?fit=max&auto=format&n=oJYezcMyRUCRUcF2&q=85&s=3248ed1f3506b955b2bae25cdd945867" alt="source-hub-file-preview" width="3010" height="1630" data-path="images/release-notes/2603/source-hub-file-preview.png" />

    Each 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.
  </Accordion>

  <Accordion title="Smart Analyst deep sampling" icon="chart-scatter" id="deep-sampling">
    <img src="https://mintcdn.com/polyai/oJYezcMyRUCRUcF2/images/release-notes/2603/deep-sampling.png?fit=max&auto=format&n=oJYezcMyRUCRUcF2&q=85&s=36e1bf4745fc20dc6fa3e77a80675677" alt="deep-sampling" width="1972" height="1286" data-path="images/release-notes/2603/deep-sampling.png" />

    Smart 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
  </Accordion>
</AccordionGroup>