Simon AI Agents & Skills

Simon AI includes specialized agents, each built to help you solve a different type of marketing problem. All agents are accessed through a conversational interface in AI Studio > Chats and can take direct action in the platform: creating segments, drafting content, building AI Fields, and configuring moments, without requiring you to leave the chat.

What you can do

If you want to…	Use this	Powered by
Build audiences, plan campaigns, and analyze performance	Campaign Planning and Audience Building	Insights Agent
Explore your data and create reusable AI Fields	Data Exploration and AI Fields	Data Agent
Generate and refine email and SMS content	Content Creation and Editing	Content Agent
Trigger campaigns based on customer, business, or world context	Triggering Campaigns on Customer, Business, and World Moments	Moment Agent

How agents work

Each agent operates as a skill within AI Studio > Chats. When you start a conversation, Simon routes your request to the appropriate agent based on context, or you can select a specific agent directly from the chat interface.

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Agents take action, not just answer questions
Simon's agents don't just surface information. They can create segments, draft content, build AI Fields, and configure moments, all from within the chat. You review and confirm before anything is applied.

Skills

Each agent has access to Skills: specialized knowledge modules the agent loads on demand when your question requires it. For example, if you ask about campaign attribution, the agent automatically loads its Reporting skill before responding. You don't manage or invoke skills directly; the agent selects the right one based on what you're asking.

Why Simon's agents outperform general-purpose AI

If you've used Claude, ChatGPT, or another general-purpose model, you've seen what a capable LLM can do. Simon's agents are built on the same underlying models, but they're fundamentally different tools for marketing work, because of what sits between the model and your data.

See Simon AI Context Layer for a full explanation.

Working inside a Project

When you open a chat from within a Project, all agents automatically use the Project's goal as context. You don't need to restate your campaign objective. The agent already knows what you're working toward. Your organization's AI Context settings are also applied automatically, keeping agents aligned with your brand voice and data conventions.