Build a Custom AI Agent

Build a custom AI agent with your own persona, instructions, knowledge, and tools — grounded in your content, citing its sources, and pausing for human approval before any write. When a support, sales, or technical agent isn't quite the shape you need, define your own.

What you can customize

An agent is more than a prompt. You set its name and personality, the system instructions that govern how it answers, the content it's grounded in, and the MCP tools it's allowed to use. Want an onboarding concierge, a partner-portal assistant, a compliance helper, or an internal knowledge bot? Each is the same platform with different instructions, content, and tool scopes — so you get a purpose-built agent without building infrastructure.

Grounded and cited by default

Whatever persona you give it, the agent only answers from content you indexed — a URL crawl, a GitHub repo, uploaded files, or a connected MCP source — and every answer links to its source. That grounding is what keeps a custom agent useful instead of a liability. The analytics dashboard shows what people ask it and where your content falls short, so you can improve both the instructions and the knowledge over time.

Tools and actions, with approval

Through the Model Context Protocol (MCP), your custom agent can take real actions — look up a record, create a ticket, append a row — but every mutating tool runs behind human write-confirm, so a person approves before anything changes. Scope each agent to exactly the tools it needs, and let it hand off to other agents as part of the broader multi-agent platform.

Getting started

Index your content, create an agent, write its instructions, and attach the tools it needs. Try it live in the playground, then start free — 100 messages a month on the free tier, with room to grow on pricing.