AI Rule Engine
The AI Rule Engine is a platform for authoring and running business rules, workflows, and AI-powered automations — without writing application code. You design rule sets visually, then run them in isolated environments that can call AI models, external APIs, and your own extensions.
Start with Core Concepts to learn the vocabulary, then follow Getting Started to build and run your first rule set.
What you can build
A rule set is an ordered collection of rules. Each rule pairs a condition (boolean logic over a shared execution context) with one or more actions. Actions can transform data, call AI models, invoke external services, branch into other rules, or pause for a human to weigh in. Typical uses include:
- Content moderation and classification pipelines.
- Document and data transformation (JSON, XML, free text).
- AI-assisted workflows: chat, image generation, recognition, speech.
- Decisioning and routing over inbound API requests.
- Approval flows with human-in-the-loop intervention.
Two sides: authoring and executing
The platform separates designing rules from running them:
Authoring
Where you create projects, rule sets, rules, conditions, and actions. Your designs live here.
Executing
Isolated environments that run your rule sets, in dedicated, shared, or free-tier hosting.
See How the Platform Works for how the two sides fit together.
Explore the documentation
Core Concepts
Projects, rule sets, rules, conditions, actions, and context.
Authoring
Design rule sets, conditions, variables, and workflows.
Actions
The full catalog of things a rule can do.
AI Features
Models, the template generator, and the project generator.
Execution
Environments, hosting modes, scheduling, and human intervention.
Accounts & Billing
Organizations, authentication, plans, and credits.
Extensions & Marketplace
Discover, import, and publish extensions and templates.
Integrations & API
API access, the MCP server, OAuth, and OpenAPI import.
Reference
API endpoints and a glossary of terms.