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QUA-1604: Add AgentQ video to userguide #1080

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QUA-1604: Add AgentQ video to userguide #1080

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309700b
Add Agent Q regulatory document automation demo video (BCBS 239)
RafaelOsiro Mar 24, 2026
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Improve Capabilities video description with detailed context
RafaelOsiro Mar 24, 2026
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Merge branch 'main' into qua-1604-add-agentq-video-to-userguide
RafaelOsiro Mar 24, 2026
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docs(agent-q-in-action: fix terminology: use "the model" instead of "…
RafaelOsiro Mar 26, 2026
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Merge branch 'main' into qua-1604-add-agentq-video-to-userguide
RafaelOsiro Mar 27, 2026
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1 change: 1 addition & 0 deletions .typos.toml
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Expand Up @@ -6,6 +6,7 @@ MyApp = "MyApp"
OpenAPIv3 = "OpenAPIv3"
AKS = "AKS"
IST = "IST"
BCBS = "BCBS"
CREATEIN = "CREATEIN"
ALTERIN = "ALTERIN"

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8 changes: 7 additions & 1 deletion docs/settings/integrations/ai-and-agents/deep-dive/agent-q-in-action.md
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Expand Up @@ -25,7 +25,7 @@ To generate a token, navigate to **Settings** > **Tokens** and click **Generate

## Capabilities

This video demonstrates the power of one-shot prompting using the Qualytics MCP server:
This video demonstrates the power of one-shot prompting using the Qualytics MCP server — a single natural-language prompt instructs the model to join data across two different datastores (Databricks and BigQuery), aggregate customer spending on a monthly basis, and author a quality check on the result, all without specifying technical details like join keys, rule types, or field mappings.

<div style="position: relative; padding-bottom: 56.25%; height: 0;"><iframe src="https://www.loom.com/embed/4b204d88eef6467aa3548fb1d9847710" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe></div>

Expand Down Expand Up @@ -56,6 +56,12 @@ Create and manage data quality checks through natural conversation:

The AI translates your intent into the appropriate rule type and parameters automatically.

#### Automating Controls from Regulatory Documents

Agent Q can parse regulatory publications such as [BCBS 239](https://www.bis.org/publ/bcbs239.htm){:target="_blank"} (Principles for effective risk data aggregation and risk reporting), analyze their applicability to a specific datastore, and automatically create tagged quality checks — preserving full traceability back to the original requirement.

<div style="position: relative; padding-bottom: 55.104166666666664%; height: 0;"><iframe src="https://www.loom.com/embed/03b2ed2b26cb4a338bbff09bde53f5a0" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe></div>

### Anomaly Investigation

Investigate quality issues conversationally:
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