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

# November 6, 2026

> Models That Learn From Your AI Usage, Embedded App in MCP, Huge Improvements to CSV Writeback, Table Column Virtualization, and Bursted AI

> [!NOTE]
>
> **Stay in the loop!** Subscribe to the [demo RSS feed](https://docs.omni.co/demos/rss.xml) to be notified when we post new demos.
>
> Demos highlight what we are working on or experimenting with, but are not a guarantee of release. Let us know your thoughts at [support@omni.co](mailto:support@omni.co).

## Table Column Virtualization

*`Richard Czechowski · Performance Workbook Dashboards`*

Demonstrates smoother scrolling in wide data tables through column virtualization, improving rendering performance across large sets of columns and measures.

[https://www.youtube.com/embed/rpGDdLG8Fvo](https://www.youtube.com/embed/rpGDdLG8Fvo)

## Customize Null Text Display

*`Richard Czechowski · Visualization Tables`*

Shows how to customize the text displayed for null values in tables, including custom replacement text and inherited null-display settings from the model.

[https://www.youtube.com/embed/RQATqGtrVmA](https://www.youtube.com/embed/RQATqGtrVmA)

## Report Visualization Images

*`Richard Czechowski · Reports Pixel Perfect Visualization`*

Demonstrates adding query visualizations to reports as images that render when the report is generated, using the same rendering pipeline as scheduled PDF deliveries.

[https://www.youtube.com/embed/GmV6G0W4rWA](https://www.youtube.com/embed/GmV6G0W4rWA)

## CSV Writeback Through Intermediate DB

*`Richard Czechowski · Writeback Performance`*

Demonstrates row-level CSV updates using key columns, stable table naming, and buffered writes. Shows concurrent updates from multiple users and explains how the buffer synchronizes changes to Snowflake.

[https://www.youtube.com/embed/MyTcQlXcbVk](https://www.youtube.com/embed/MyTcQlXcbVk)

## Bernard's Trial Tracker

*`Bernard Sanders · AI Apps Use Cases`*

The whole demo here is blurred (sorry), but too good not to share anyways.  This walks through an internal trial-tracking app with account overviews, editable notes, contact management, account relationships, meeting history, and resource links. Contains real customer and internal deal information.

[https://www.youtube.com/embed/uSWegwxKYwk](https://www.youtube.com/embed/uSWegwxKYwk)

## Personalized Routines (Scheduled AI Bursting)

*`Corey Ruderman · AI Scheduler`*

Introduces personalized routines that run with each recipient’s permissions, tool access, and AI credits. Explains how the underlying workflow could support parallel enrichment jobs and recipient-specific results.

[https://www.youtube.com/embed/rf\_qGSR-rgE](https://www.youtube.com/embed/rf_qGSR-rgE)

## Organization-Wide Model Branching

*`Conrad Slimmer · Modeling`*

Previews organization-wide branches that coordinate changes across connected models. Demonstrates inherited branch changes, testing in workbooks, and promoting changes through a multi-model merge workflow.

[https://www.youtube.com/embed/QeRSP7rx0wE](https://www.youtube.com/embed/QeRSP7rx0wE)

## Resizable Chat Visualizations

*`Sarah Waterson · AI UX`*

Demonstrates expanding tables and visualizations within chat to make better use of screen space, including a double-click gesture to restore results to their original size.

[https://www.youtube.com/embed/qqzDXD0Kojc](https://www.youtube.com/embed/qqzDXD0Kojc)

## Interactive Embedded MCP Results

*` Dylan Israel · AI MCP`*

Shows an interactive results component that can display data and switch between visualizations inside an iframe. Demonstrates the approach for embedded chat and MCP integrations, including theme colors and resize events.

[https://www.youtube.com/embed/RQ9ckcIQWC0](https://www.youtube.com/embed/RQ9ckcIQWC0)

## Blobby Content Downloads

*`Conor McGovern · AI Downloads`*

Demonstrates asking Blobby to download content using the scheduled-job pipeline, with support for download options and content from dashboards, apps, and workbooks.

[https://www.youtube.com/embed/6hLRiQzl1YI](https://www.youtube.com/embed/6hLRiQzl1YI)

## Blobby Deliveries

*`Conor McGovern · AI Scheduler`*

Shows how Blobby can set up recurring email deliveries and post content to Slack through natural-language requests, with access to the delivery configuration panel.

[https://www.youtube.com/embed/E0ec4hBAKB4](https://www.youtube.com/embed/E0ec4hBAKB4)

## Sentry MCP Connectors

*`Nathan Agrin · AI MCP Connectors`*

Demonstrates adding a predefined Sentry connector, authorizing an account, querying issues through chat, and generating an app from the results. Highlights a simpler setup flow for out-of-the-box MCP connectors.

[https://www.youtube.com/embed/BVDuY-4siVM](https://www.youtube.com/embed/BVDuY-4siVM)

## New AI Suggestions Workflow

*`Chris Swenson · AI Modeling Learning`*

Walks through idea suggestions, branch-based model-change suggestions, chat-trace inspection, and tools for managing the suggestions inbox. Demonstrates a generation workflow that uses usage analytics and conversation traces to investigate issues, propose changes, and update existing suggestions.

[https://www.youtube.com/embed/-TIbBSEL944](https://www.youtube.com/embed/-TIbBSEL944)

## Shorter YAML Dashboard Filter URLs

*`Nathan Agrin · AI UX Apps`*

Demonstrates replacing verbose JSON-encoded dashboard filters with a more compact YAML-style syntax. Shows conversion of existing links, date filters, model-defined links, and current limitations for dynamic filters, cross-filtering, and apps.

[https://www.youtube.com/embed/QR4L8GbW2Mc](https://www.youtube.com/embed/QR4L8GbW2Mc)


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