What's New

Call Transcript Tool (Built-in)

The AI Agent action now includes a built-in Call Transcript tool that gives the agent access to a contact's call history. The tool works internally with no configuration required, simply reference call transcripts in your agent prompt (e.g., "Use this contact's call transcripts to summarize their concerns") and the agent retrieves and uses them automatically.

This builds on the previously released conversation history tool The agent now has access to both past chat conversations and call transcripts, providing a more complete view of every contact interaction.

Feedback Flow in Execution Logs

You can now submit structured feedback on every AI Agent run directly from the execution logs. Flag what went wrong, note what worked well, and share specifics for each run. All feedback is used to improve the AI Agent's accuracy, evaluation quality, and goal alignment over time.

Bug Fixes and Stability Improvements

Resolved few bugs across the AI Agent action to improve reliability and overall experience.

Why This Matters

The Call Transcript tool makes the AI Agent significantly more context-aware. Instead of operating only on chat history or static contact fields, it can now factor in voice interactions, making its decisions, responses, and actions more grounded in real customer context. The feedback flow closes the gap between what the agent does and what you expect, enabling faster iteration and fewer deviations.

What's New

Call Transcript Tool (Built-in)

The AI Agent action now includes a built-in Call Transcript tool that gives the agent access to a contact's call history. The tool works internally with no configuration required, simply reference call transcripts in your agent prompt (e.g., "Use this contact's call transcripts to summarize their concerns") and the agent retrieves and uses them automatically.

This builds on the previously released conversation history tool The agent now has access to both past chat conversations and call transcripts, providing a more complete view of every contact interaction.

Feedback Flow in Execution Logs

You can now submit structured feedback on every AI Agent run directly from the execution logs. Flag what went wrong, note what worked well, and share specifics for each run. All feedback is used to improve the AI Agent's accuracy, evaluation quality, and goal alignment over time.

Bug Fixes and Stability Improvements

Resolved few bugs across the AI Agent action to improve reliability and overall experience.

Why This Matters

The Call Transcript tool makes the AI Agent significantly more context-aware. Instead of operating only on chat history or static contact fields, it can now factor in voice interactions, making its decisions, responses, and actions more grounded in real customer context. The feedback flow closes the gap between what the agent does and what you expect, enabling faster iteration and fewer deviations.

What's New

Call Transcript Tool (Built-in)

The AI Agent action now includes a built-in Call Transcript tool that gives the agent access to a contact's call history. The tool works internally with no configuration required, simply reference call transcripts in your agent prompt (e.g., "Use this contact's call transcripts to summarize their concerns") and the agent retrieves and uses them automatically.

This builds on the previously released conversation history tool The agent now has access to both past chat conversations and call transcripts, providing a more complete view of every contact interaction.

Feedback Flow in Execution Logs

You can now submit structured feedback on every AI Agent run directly from the execution logs. Flag what went wrong, note what worked well, and share specifics for each run. All feedback is used to improve the AI Agent's accuracy, evaluation quality, and goal alignment over time.

Bug Fixes and Stability Improvements

Resolved few bugs across the AI Agent action to improve reliability and overall experience.

Why This Matters

The Call Transcript tool makes the AI Agent significantly more context-aware. Instead of operating only on chat history or static contact fields, it can now factor in voice interactions, making its decisions, responses, and actions more grounded in real customer context. The feedback flow closes the gap between what the agent does and what you expect, enabling faster iteration and fewer deviations.

What's New

Call Transcript Tool (Built-in)

The AI Agent action now includes a built-in Call Transcript tool that gives the agent access to a contact's call history. The tool works internally with no configuration required, simply reference call transcripts in your agent prompt (e.g., "Use this contact's call transcripts to summarize their concerns") and the agent retrieves and uses them automatically.

This builds on the previously released conversation history tool The agent now has access to both past chat conversations and call transcripts, providing a more complete view of every contact interaction.

Feedback Flow in Execution Logs

You can now submit structured feedback on every AI Agent run directly from the execution logs. Flag what went wrong, note what worked well, and share specifics for each run. All feedback is used to improve the AI Agent's accuracy, evaluation quality, and goal alignment over time.

Bug Fixes and Stability Improvements

Resolved few bugs across the AI Agent action to improve reliability and overall experience.

Why This Matters

The Call Transcript tool makes the AI Agent significantly more context-aware. Instead of operating only on chat history or static contact fields, it can now factor in voice interactions, making its decisions, responses, and actions more grounded in real customer context. The feedback flow closes the gap between what the agent does and what you expect, enabling faster iteration and fewer deviations.

What's New

The AI Builder in workflows has been completely rebuilt from the ground up. The new version replaces the previous experience with a transparent, streaming, context aware copilot that shows you exactly what it's doing at every step. A new extensible architecture under the hood means every future capability ships faster and compounds on what's already live. Expect some really cool updates in coming weeks.

Live Streaming UI

Every build, edit, and query now streams results in real time with a step-by-step progress card. You can see exactly how your request is being processed — whether the AI is asking clarifying questions, searching for actions and triggers, creating the schema, placing it into the workflow, or validating the result.

Compound Requests in a Single Turn

Ask for multiple changes at once (e.g., "rename, add a 24h wait, turn off re-entry") and the AI executes them all in one go. No need to submit one request at a time.

Conversational Memory

The AI retains full session context. Say "actually make that 48 hours" and it knows exactly what you're referring to, no need to repeat yourself after every message.

Start fresh from the same canvas

If you trigger a build on a canvas that already has a workflow, the AI asks whether to start fresh or edit what's there. Earlier you would need to create a new workflow manually to start a new AI workflow creation.

Context Aware Empty States

The AI sidebar adapts to where you are. A blank canvas shows build-from-scratch prompts. An existing workflow shows "Make it / Fix it" suggestions based on your current flow. Chat mode surfaces knowledge prompts — one click to go.

Chat to Build in One Click

Ask a build question in Chat Mode and a "Continue in Build Mode" button appears, switching modes and auto-submitting your request instantly.

Session Continuity Across Panel Close

Close the sidebar, keep working, reopen it, and your full chat history and progress are right where you left them.

Learn Mode 2.0

Answers stream in real time with related follow-up questions surfaced at the end of every response, powered by a dedicated knowledge base search tool.

White Label Safe

The AI never references the platform by name in any output. This is enforced at the architecture level, not just filtered in responses. Agencies can expose the builder to their end customers with zero cleanup.

Why It Matters

This is the most significant upgrade to the Workflow AI Builder since launch. Every interaction is faster, more transparent, and more reliable. The extensible tool architecture means new capabilities no longer require a pipeline rewrite they plug in. What ships next builds on everything already live.