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Chat has a fresh new look

Chat got a visual refresh. Your own messages now appear in clean blue bubbles that shrink to fit exactly what you typed, so conversations are easier to scan at a glance.

Following along with the AI is clearer too: every tool call now shows a plain-language description of what it’s doing—like searching your schema or running a query—instead of raw JSON. You can see each step the AI takes without decoding technical output.

Sort tables right inside chat

Tables in AI responses have been redesigned with a cleaner, card-style layout, right-aligned numbers, and a tinted header row that’s much easier to read.

Best of all, you can now sort any column with a single click. Numbers, dates, and text all sort intelligently, so you can reorder a result set to surface the biggest values or the latest records without leaving the conversation or writing more SQL.

AI database edits are validated before you approve them

When you ask Basedash to change data in your database, it now checks the query before showing you an approval prompt. Invalid or broken mutations fail fast and the AI corrects them on its own, so the change you’re asked to approve is one that’s actually ready to run.

That means less time reviewing writes that would have errored out anyway, and more confidence that an approved change will do what you expect. Edits are handled one at a time, keeping each approval clear and easy to reason about.

Fixes and improvements

  • Made connecting Fivetran data sources smoother by fixing a confusing “already connected” state and error toast that could appear while a connection was still being set up, plus a stray “allow popups” warning on the desktop app.
  • Fixed chats showing a stale approval request when several actions needed approval at once, so you always see the current one.
  • Fixed chat contents occasionally appearing out of order, and stabilized the ordering of automations, MCP tools, and hidden schema lists.
  • Scoped AI variable and filter updates to the dashboard you’re working on, preventing changes from leaking to other dashboards, including duplicated ones.
  • Gave the AI richer context about your data—row counts, sample values, and null rates—so it writes more accurate queries and charts.
  • Improved chat answer quality on tougher analysis with an updated prompt and default model, and let the AI consult a second model on genuinely hard questions.
  • Clarified how the AI formats percentages in charts so they render on the correct scale.