AI Chat is production ready

AI Chat runs against your real workspace now. It knows your objects, fields, campaigns, and audiences without being told, so a question like which segments have not been emailed in thirty days does not start with explaining your schema.

Business context

Context is loaded per workspace and held across a conversation. Chat keeps track of your data model through a long exchange rather than losing it partway.

Thinking mode

Longer questions return a visible reasoning trace before the answer. This matters most for trust: when chat reports that a segment holds four thousand contacts, you can see how it got there instead of re-deriving it.

Statements on analytics

Segment evaluation moved onto the analytics engine. Audience counts on large workspaces return in seconds.

Improvements

• Audiences An email link clicked statement can specify which link was clicked, not only that some link was.
• Automations Workflow triggers can filter on event content, and that context carries to later steps in the run.
• Email Data fields in statement events and utm_content are both exposed to Liquid.
• Forms A toggle controls whether a form creates a new contact for a unique email or deduplicates against an existing one.
• Admin Permissions separate members from administrators, so someone can build without being able to reconfigure the Salesforce connection.