Glossary
AI agent builder
An AI agent builder is a tool for creating AI agents without writing a full application: you set the instructions, choose a model, connect tools and data sources, and define when the agent runs and what it may do.
What Is AI Agent Builder?
In short Builders sit between writing code against a model API and buying a finished agent.
Most give you a visual canvas or a form: write the agent's instructions, pick a model, add tools from a catalog such as web search, a CRM, Slack or email, attach knowledge such as documents, and set what starts the agent, such as a schedule, a message or a new record.
Microsoft describes Copilot Studio as a graphical, low-code studio for building AI agents and workflows, and Google Cloud offers Agent Studio, a low-code visual designer for agents. Check whether a tool builds agents that choose their own steps or fixed workflows with AI steps inside them, since many products now do both.
AI Agent Builder Example
For example, a RevOps manager builds an agent that runs whenever a demo request arrives. It looks up the company, checks employee count and industry against the ICP, writes a five-line brief to the CRM record and posts it to the sales channel. Setup takes an afternoon, and the agent handles about 120 requests a month.
AI Agent Builder in Practice
For sales and RevOps teams, a builder lets the person who knows the process build the agent: one that researches each new inbound lead and writes a summary to the CRM, or one that checks closed-lost deals for a re-engagement date. The trade-off is control. Builders are quick to start, so check how you test changes, see each run and limit what the agent can change.
FAQ
Do you need to code to build an AI agent?
Not with a low-code builder. In Microsoft Copilot Studio, for example, you can describe an agent in plain language and test it before you publish. Code gives you more control over testing, versioning and monitoring.
What is the difference between an AI agent builder and workflow automation?
A workflow tool runs the fixed steps you draw. An agent builder creates agents that decide their own steps and tool calls within the instructions you set. Copilot Studio, for example, offers agents, workflows and agent flows side by side.
What can you connect an AI agent to?
Most builders connect to data and apps through prebuilt or custom connectors, APIs and MCP servers. Copilot Studio, for example, connects agents to an organization's data and systems through prebuilt or custom connectors.
How do you test an AI agent before using it?
Run it on a fixed set of real cases with known good answers, check every tool call it makes, and start with read-only permissions. Copilot Studio includes evaluations with test sets for this.
Do This in Ken
Do This in Ken
Any agent builder or AI client that supports MCP can connect to the Ken MCP server and call Ken as a tool.
- Module
- Ken MCP server
- Open in Ken
- /mcp
The new Ken opens to the waiting list in batches.
Related
Sources
| Source | Checked |
|---|---|
| Microsoft Learn: What is Copilot Studio? | |
| Google Cloud: Design agents in Agent Studio |
Changelog
- Page published.