Blobby has been studying hard. Now you can connect Omni to Google Drive and search files outside Omni directly from Blobby. This lays the groundwork for bringing AI context from completely outside the system into an analysis, or even just asking quick questions from inside the AI window. Excited to see how folks use this one.

Smart vis building from AI coming soon. A final demo of the query, interpret, visualize workflow for building better vis or hand tuning via AI.

Ever expanding Blobby's capability. Now you can chain together pairs of independent queries through lookups to bring time-series next to each other or other ad hoc use cases.

Another new skill for Blobby. Now you can requery previous queries through intermediate query views. Useful for regrouped aggregates, or other types of more complex analyses. Still some work to do on engaging when to use all these new techniques.'

Steven shows off a new project management tool he built to manage Claude Code and keep the robots on task.

An early look at some work to layer intelligent auto-completion (think cursor) into the model development experience.

This is a new idea to open up AI functions to our calculation language using the AI native functions in the data warehouse (think Snowflake Cortex or Databricks AI Functions or BigQuery AI functions). This opens up on-the-fly classification or summary, lots of great use cases, but bit more work to do to launch.

Demo of a new technique for developing AI context and getting better results from Blobby using Cursor.

Docs here for more: https://community.omni.co/t/using-omni-local-model-editor-to-vibe-code-ai-context/427

The containers work isn't just about single-page layout, it's laying the ground work for native tabbed dashboards. Luke previews a first look at the editor experience for tabs.

Still chugging along on dashboard containers. Here's a first look at the new layout controls and experience for builders.

Now you can export individual spreadsheet tabs from the dashboard, we'll take care of the query dependencies.

Continuing the work on lifting Omni into Azure - a quick demo of downloads in the new stack.

We're testing Arrow for connectivity to the data warehouse (rather than JDBC). The result is massive speed-ups over large result sets, and even some small ones over tiny datasets. Still exploring, but hopeful this can make Omni even faster for everyone.

Before models get built, finding what you need was too hard. We're making that set-up process easier to get started with Omni.