We've shipped major improvements to how AI Builder links data into AI actions and the Create Task action, making generated workflows significantly more accurate and reliable.

Smarter Data Linking Across AI Actions

AI Builder now correctly passes the actual variable or data into action fields instead of inserting redundant prompts or instructions. Previously, AI Builder would inject a full prompt into an action's input field (e.g., "Summarize the following text into bullet points...") rather than simply passing the variable holding the value. Since these actions already know what to do, the extra instructions were redundant and sometimes caused unexpected output.

Now, AI Builder cleanly passes just the relevant variable (e.g., {{message.body}}, into each action's input field, letting the action perform as designed.

The task description field now contains an actual, human-readable task description for the assignee, not a prompt instructing the system to create a task.

Before: Description would read something like "Create a follow-up call task for the new lead."

After: Description reads something like "Follow up with {{contact.name}} to discuss their inquiry and schedule a discovery call."

This makes the generated task immediately actionable for the person it's assigned to.

These improvements make AI Builder-generated workflows production-ready out of the box — less manual cleanup, fewer broken automations, and a much smoother experience from prompt to live workflow.

The AI Builder now gathers missing context before generating or editing workflows, producing significantly better first outputs and reducing the need for follow-up revisions.

Previously, when a user provided a vague prompt like "follow up with the customer," the AI Builder would make assumptions and generate a full workflow — often requiring multiple rounds of revision. The same applied to edit requests: vague instructions led to changes that didn't always match user intent. Each revision cycle passed the entire workflow in context, increasing time to value.

The new Clarifying Agent detects gaps in the user's request and surfaces up to three focused questions before generation or editing begins. By collecting the right inputs upfront, the AI Builder delivers a more accurate first output for both new builds and edits, with fewer revisions and lower cost per interaction.

The Clarifying Agent only intervenes when specific, high-impact details are missing:

Open the AI Builder and describe the workflow you want to build or the edit you want to make.

If key details are missing, the Clarifying Agent surfaces targeted questions before the AI proceeds.

Select from the provided options or type a custom response.

Skip any question to let the AI decide on your behalf.

The AI Builder generates or edits the workflow with all additional context incorporated.

Questions are presented in a clean multiple-choice format. When multiple questions are surfaced, navigation arrows allow users to move between them. Every question is skippable.

The quality of any AI-generated output depends on the context it receives. The Clarifying Agent ensures the AI Builder has the right inputs before it begins, leading to better first outputs, fewer post-generation revisions, and a faster path from idea to live workflow.

We’ve improved the contact merge experience. Previously, when merging duplicate contacts, documents associated with secondary contacts were not transferred to the primary contact. With this update, there is a seamless document transfer during the contact merge operation.

Introducing the Announcements Builder — a new way for agencies to create, customize, and schedule banner notifications for their sub-accounts. Deliver targeted messages directly inside the platform with full control over visibility, timing, and behavior.

Show banners at:

Agencies can now communicate important updates directly within the platform—improving visibility, reducing missed actions, and ensuring users always see the most relevant information.

You can now embed the instead of limiting it to a floating chat bubble. This allows for a more integrated, conversion-focused chat experience aligned with your page layout.

Ad Manager has undergone a — from campaign creation to performance tracking.

This revamp delivers a , making it easier to create, manage, and optimize campaigns with better visibility and reduced friction.

🆕 End-to-End UI Revamp - All major surfaces are redesigned with a :

📊 Campaign Listing with Quick Insights

🧱 Streamlined Campaign Creation

👀 Improved Review & Preview Experience

This revamp transforms Ad Manager into a , helping users move from setup → launch → optimization faster, with fewer errors and better decision-making.

We’ve improved the Trigger Stats experience in the workflow builder so it’s easier to view and understand trigger enrollment activity without leaving the workflow. You can now open a built-in stats view on the trigger itself to quickly see enrollment performance contacts attempted, matched / unmatched based on filtering criteria.

The stats section on each trigger gives you a quick snapshot of how contacts are moving through that trigger. From there, you can open a full dashboard to review attempted enrollments, matched and unmatched contacts, contact-level details, top unmatched reasons, and search results for specific contacts.

Trigger Stats helps you understand whether contacts are entering a workflow as expected and where filters may be blocking enrollment. With this improvement, it’s much faster to spot patterns, investigate specific contacts, and troubleshoot trigger behavior from the builder itself.

You can view the change log for the full trigger stats here - https://highlevel.canny.io/changelog/trigger-stats-for-workflows

We’ve introduced enhanced V2 Public APIs for Email, with expanded capabilities across campaigns, templates, and statistics to enable more powerful and flexible integrations.

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We’ve enhanced both Customer Booked Appointment and Appointment Status workflow triggers to support guest contacts. You can now choose who gets enrolled when an appointment-based trigger fires: Contact only, Contact and Guests, or Guests only.

When the trigger runs, the system checks who is attached to the appointment at that moment and enrolls records based on the option you selected. If you choose Contact and Guests, the workflow runs once for the primary contact and once for each guest. If you choose Guests only, the primary contact is skipped.

Appointment workflows were previously limited to the primary contact, which made it hard to automate reminders, confirmations, and follow-ups for multi-participant appointments. This update closes that gap and lets you message the right people automatically.

We’ve launched a brand new Reviews Overview Dashboard in Labs to give you deeper insights into your reputation performance—all in one place.

Track average ratings and total reviews over time

Visualise trends with interactive charts (monthly/yearly views)

Filter data by specific pages and review sources

Get more granular insights into where your reviews are coming from

Instantly generate concise AI summaries of customer feedback

Filter by selected sources, pages, and date ranges

Understand customer perception with positive, negative, and neutral breakdowns

Apply custom date ranges across all widgets for deeper analysis

Do drop a feedback in Labs or reach out to us directly at reputation@gohighlevel.com or reshma@gohighlevel.com