AI AGENT

It Shows You the Plan Before It Touches Anything

Zunoy's AI agent lives inside your admin. Ask for the work in plain English. It writes a plan, shows the impact, and waits for you to approve.

Steps in every session

Changes made before approval

Gates before it starts

Actions covered by a plan

HOW IT THINKS

The Agent Checks Your Content Before Writing a Plan

The agent begins with read-only tools — it lists your content types, counts entries, reads a specific entry, and checks your branches before writing a plan, so nothing changes at this stage and it isn't guessing from your description alone.

  • Reads your types, entries, forms, branches and taxonomy terms

  • Counts what a change would affect before proposing it

  • Asks a clarifying question when your request is ambiguous

What the Plan Tells You

Part of the plan
What it answers

Understood

Did it actually get what I meant?

Clarification

What does it still need to know?

Summary

What is it going to do?

Impact

What changes if I say yes?

Steps

What are the individual operations?

Risks

What could go wrong here?

Every plan returns the same six-part shape, before anything runs.

Nothing Runs Until You Approve It

  • The plan is a proposal, not work already done

  • Approval is a separate, deliberate action

  • Your content stays untouched until you approve

  • Cancel anytime — workspace stays exactly as it was

WHERE IT EARNS ITS KEEP

Good for Bulk Work That Takes You Hours

The agent handles work that is mechanical but slow by hand. None of it is hard. All of it is tedious — exactly the gap a plan-and-approve agent should fill.

  • Create entries in bulk, or publish a backlog in one pass

  • Build a taxonomy and tag existing content against it

  • Add a field to a content type and populate it

  • Spin up a branch first, so the work stays off your live site

What It Can Actually Change

Write actions cover content structure, entries, taxonomy, forms, branching and reporting. Everything else in the admin stays a human job, which keeps the agent's blast radius small and predictable.

  • Structure

    Create types, fields, and branches

  • Entries

    Create, update, publish, or delete

  • Taxonomy

    Build taxonomies and auto-tag entries

  • Forms & reports

    Create forms, run query reports

WHO IT LISTENS TO

Your Permissions Still Decide

The agent is gated two ways before it starts, and metered as it thinks. A user needs the AI permission on their role, the workspace needs the agent enabled on its plan, and every message you send it draws on your AI credits. It is not a bypass around your access rules.This matters more than it sounds. An agent that ignored your permission model would be a very fast way to give everybody admin rights by accident.

  • Role permission required before a session can start

  • Plan-level feature gate on top of that

  • AI credits metered per message, visible in your usage

How a Session Runs

Four beats, with the approval sitting deliberately in the middle rather than at the end.

1

Say what you want

Plain English, in the agent panel. No syntax to learn.

2

It looks around

Read-only lookups against your real content and branches.

3

You get a plan

Understood, summary, impact, steps and risks — before anything runs.

4

You approve

It executes step by step and streams progress as it goes.

Not the Same Thing as the MCP Server

Zunoy has two AI entry points and they solve different problems. The agent lives in your admin and needs no setup. The MCP server connects outside tools like Claude Desktop to your workspace. Many teams use both.

Feature

In-app AI agent

MCP server

Where it runs

Inside the admin, after you log in

In Claude Desktop, Claude Code or Cursor

Setup

No setup at all

An API key and a client config entry

How it works

Plans, then waits for your approval

You direct it call by call

Best for

Bulk work inside the CMS

Building inside your dev workflow

Where to Go Next

The agent touches several parts of the platform. These are the ones worth reading first.

  • MCP Server

    The other external entry point

  • Environments

    Branch first, keep live site safe

  • Headless CMS Engine

    Content types and fields it uses

  • Smart Editor

    Writing and editing, not bulk ops

Common Questions

Where does the Zunoy AI agent run?

Inside the Zunoy admin, once you are logged in. There is nothing to install and no client to connect. It is a panel in the product rather than an integration you set up.

What can the agent actually do?

It can create content types and fields, create and update entries, publish or delete them in bulk, build taxonomies and tag content, create forms, create branches, and run query reports.

What if my request is unclear?

The plan includes a clarification field. Rather than guessing at an ambiguous instruction, the agent asks the question it needs answered before proposing work.

Does the agent change my content straight away?

No. It returns a plan first, covering what it understood, what it will do, the impact, the individual steps and any risks. Nothing is changed until you approve that plan.

How does it avoid guessing wrong about my content?

It uses read-only lookups first. Before planning, it lists your content types, counts entries, reads examples, and checks your branches, so the plan is based on your real workspace rather than only your description.

Can I stop it once it starts?

You can cancel a session. Cancelling before approval leaves your workspace completely untouched, because the planning stage never writes anything.

Hand Over the Boring Half

Bulk publishing, tagging, backfilling a new field. Describe it once, read the plan, approve it.

About Zunoy

Ask a question about Zunoy's products, pricing, or docs.

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