Overview
The Agent Builder is where you configure an agent — its purpose, its reasoning, the knowledge and tools it can reach, the controls that keep it safe, and the checks that tell you whether it works.
While the Builder Canvas gives a visual overview of the agent and its connected components, the pages in this section are where the actual configuration and control happens.
The agent lifecycle
This section is organized around the order you work in, not the order the settings panel happens to list.
Build — Define the agent’s purpose, instructions, and runtime behavior; connect apps, services, MCP tools, skills, knowledge, and triggers.
Test — Validate the agent against scored datasets before anyone depends on it.
Deploy — Ship the agent into your product, with the authentication, domain, PII, and guardrail controls that make that safe.
Monitor — Watch production behavior and turn what you learn into improvements, which feed back into Build.
Together these provide a complete control layer for building, deploying, evaluating, and operating production agents.
Common paths
Go live in your product — Agent Integration, Authentication, and Whitelisted Domains
Improve quality before release — Evals, Instructions, Skills & Capabilities, and Guardrails (Beta)
Improve quality after release — Monitoring, Online-Eval, and Reinforcement Learnings
Move an agent between environments — Export Agent, Secrets & Variables, and Runtime & Versioning
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