Ema Builder Platform Documentation
Build, deploy, and operate AI Employees (AIEs) on the Ema platform. These docs take you from first login through building workflows and agents, grounding them in knowledge bases, connecting Tools, testing and launching, and administering your workspace.
New here? Start with the Introduction, then Getting Started to create your first AI Employee.
Sections
| # | Section | What it covers |
|---|---|---|
| 01 | Introduction | What Ema is, key concepts, a platform tour, and a glossary. |
| 02 | Getting Started | First login, AI Employee types, and building your first AI Employee. |
| 03 | Core Concepts | AI Employees, workflows, agents, knowledge bases, HITL, conditions, versioning. |
| 04 | Builder Guides | Task-oriented guides for building workflows, agents, knowledge bases, and forms. |
| 05 | Autopilot | The in-app AI assistant that builds and edits AI Employees for you. |
| 06 | Agent Reference | Every agent in the builder, grouped as in the AI Employee builder library. |
| 07 | App Builder | Build, deploy, and manage code apps that call your AI Employees. |
| 08 | Integrations & Data | Tools, the Tool Editor, data connectors, the embeddable chat SDK, and the Data API. |
| 09 | Templates | The prebuilt AI Employee templates and how to start from one. |
| 10 | Testing & Operations | Testing, evaluation, launching, monitoring, debugging, and chat metrics. |
| 11 | API Reference | Authentication and the AI Employee, workflow, chat, and platform APIs. |
| 12 | Administration | Roles and permissions, users, tenants, SSO, PII governance, and the audit log. |
| 13 | Recruiter (Beta) | The candidate sourcing, scoring, and outreach product. |
| 14 | EmaFusion™ | How the multi-model layer routes and runs every LLM call. |
| 15 | Ema MCP | Manage your AI Employees from Claude Desktop, Claude Code, Codex, and other MCP clients. |
| 16 | Troubleshooting & Support | Common failure modes and how to get help. |
| 17 | Release Notes | What's new in the latest release of the platform. |