Now any time-series can dynamically fill missing dates between the min and max in the data set.

Our auto-modeler from AI sessions is getting smarter. UI has been tuned up and precision also much better.

More AI context from using Omni. This time, we're opening up topic descriptions to guide use cases on different data sets based on real usage.

We added a new model argument for curating the data sets allowed for AI query.

Some discussion about how we've implemented AI context for internal usage and tuning process.

Adding a new permissions layer to control model extensions, allowing more complex use cases with team or group models.

Bunch of improvements to the dbt experience - better metadata syncing / dbt health and more flexible SSH key management.

We made it so pivots now also stream for exports, meaning no limit even for pivoted queries for downloads.

A quick modeling pattern for dynamically swapping the chart type with a filter.

Another vibe coded app on top of the Omni API - this one for converting LookML to Omni's data model.

Little bit of tuning the invite flow to allow better bulk user invitations.