Here’s How to Put an AI Agent to Work in Groundhogg

Most Groundhogg releases add a feature or two you click into. 4.8 added something you talk to instead: support for the WordPress Abilities API, which means an AI agent, whether that’s Claude, ChatGPT, or something your team built in-house, can now act inside your CRM directly, through the same permission-checked actions Groundhogg already uses internally. Not a chatbot bolted onto the sidebar. An agent that can actually do the work.

So what does that look like day to day? Here’s a rundown of what you can hand off to an agent, starting with the one that changes the most: building, testing, and scheduling your email and flow work.

Build, test, and schedule a flow without opening the flow builder

This is the flagship move, and it’s the one worth slowing down for. An agent can go from a plain-language brief to a flow that’s genuinely ready to run, checking its own work before anything gets near a real contact.

• Draft the whole flow from a brief. Describe it, something like “a 3-step win-back sequence, wait a week, email anyone who hasn’t opened anything in 30 days, tag the ones who click, and email again in 3 days if they didn’t,” and the agent checks which step types are buildable on your site (triggers, actions, branching logic like Yes/No and Multi Branch) and creates the full sequence in one go. New flows are always created inactive, so nothing can fire until you say so.
• Dry-run it first. Before anyone touches a real inbox, the agent can trace exactly what would happen to a contact starting from any step. Which branch they’d take, roughly when each timer would resolve, all without enqueuing a single real event.
• Then actually test it. When the dry run looks right, the agent can run the flow for real against one real contact. Actual events, actual actions, so you see it genuinely work before it’s anywhere near your whole list.
• Flip it on and feed it contacts. Activate the flow, then add a single contact or an entire tag or segment to it.
• Same story for email. The agent can write and save a new email, subject plus full HTML body, then schedule it as a broadcast to a segment or tag for a specific date and time, or send it right now.
• Read the results back, in the same conversation. Once a broadcast has gone out, ask for its open and click report. No new tab required.

Put together, that’s a flow builder, a QA environment, and a reporting dashboard an agent can move between in one conversation. Describe the automation, watch it get tested against a real contact before it goes live, then check how it actually performed.

The rest of what an agent can do in Groundhogg

Flows and email are the headline act, but they’re not the whole set. In that same conversation, an agent can also handle:

• Contacts and segments: find, create, and update contacts, add notes, list tags and custom fields, and work from your saved searches. Basically the stuff that usually means digging through a list-table.
• Reporting on demand: pull any built-in or custom report, opens, clicks, revenue, whatever you’ve set up, without opening a dashboard first.
• Trackable links: create a Superlink that tags a contact and redirects them somewhere, ready to paste straight into an email or page.
• Campaigns: create a campaign, or attach an existing one to a flow, email, or broadcast, to keep reporting organized as things grow.

A few prompts to steal

Not sure how to start the conversation? Here are some real examples you can hand your agent almost word for word:

Getting an agent connected

The Abilities API registers what an agent can do. You’ll also need an MCP server plugin active to expose those abilities over MCP, such as WordPress’s official MCP Adapter. From there, connect your AI client with a WordPress Application Password and it runs with that user’s normal permissions.

This is an early release, and the list of abilities is only going to grow. SMS is next. If your team already works with an AI agent, Groundhogg 4.8 is ready to meet it halfway.