Progress Corticon helps organizations automate complex, explainable business decisions while managing policy logic separately from application code.

Domain experts can author, test, and maintain sophisticated business rules using visual modeling tools, while development teams can deploy Decision Services across centralized servers, cloud platforms, serverless architectures, browsers, mobile applications, data platforms, and edge environments.

Both Corticon and Corticon.js are designed to execute sophisticated, mission-critical business rules and support enterprise production workloads. Corticon.js combines that decisioning capability with a portable JavaScript runtime that can execute centrally, in cloud and serverless services, or directly within web, mobile, data, and edge applications.

This organization provides sample rule projects, integrations, workshops, and demonstrations for Corticon and Corticon.js.

1. Learn the authoring environment

   • Corticon Studio guide
   • Corticon.js Studio guide

2. Choose a sample or workshop from the repositories below.

3. Import or open the project in the applicable Corticon development environment.

4. Build, test, and deploy the Decision Service using the runtime and integration model appropriate for your application.

5. Integrate the deployed decision logic through supported service interfaces, embedded runtimes, JavaScript function calls, or cloud-native application interfaces.

Corticon and Corticon.js share the same core objective: enabling organizations to externalize, automate, test, explain, and maintain sophisticated business rules independently from application code. Both runtimes support enterprise Decision Services and high-volume workloads; the appropriate runtime depends on the target architecture, integration requirements, operational model, and deployment technology.

Samples for building and deploying Corticon.js Decision Services in JavaScript environments. The repository includes importable rule projects, extended operators, service callouts, asynchronous invocation examples, JavaScript framework integrations, browser applications, and cloud deployment patterns.

Importable sample rule projects for Corticon Studio. The examples demonstrate rule-modeling techniques across business, technical, mathematical, data-integration, and decision-automation scenarios.

A rules-driven, framework-independent approach to building dynamic forms with Corticon.js. Business rules control form navigation, field visibility, validation, and behavior separately from presentation code.

• Dynamic Forms documentation site

End-to-end demonstrations of executing Corticon.js Decision Services with MarkLogic. The repository includes examples for auto-insurance underwriting, Medicaid eligibility, and trade-data settlement.

Code samples demonstrating integration with and extension of Corticon Server, including Java-based extensions and a Python REST example.

Samples for capturing and persisting Corticon Server rule-execution information for auditing and analysis. Review the repository requirements and applicable Corticon version before using the examples.

Hands-on workshop materials that introduce Corticon through a Medicaid eligibility scenario. The learning path covers vocabulary design, Rulesheets, Ruleflows, Ruletests, explainable outputs, rule-modeling practices, and solution integration.

An interactive knowledge resource for exploring Corticon concepts and related information.

Solutions to historical Corticon newsletter rule-modeling challenges.

Both Corticon and Corticon.js support sophisticated, high-volume, and mission-critical decision automation. Representative scenarios include:

• Eligibility, benefits, and casework decisions for government and public-sector programs
• Compliance and policy automation with transparent, explainable outcomes
• Underwriting, claims, lending, and fraud-related decisions
• Healthcare, insurance, and financial-services policy administration
• High-volume transactional and batch decision processing
• Centralized Decision Services exposed through APIs
• Cloud-native and serverless Decision Services
• Dynamic, rules-driven forms that adapt in real time
• Decisions embedded within web, mobile, desktop, data, and edge applications
• Offline decisions where network access is intermittent or unavailable

Both Corticon and Corticon.js support sophisticated enterprise Decision Services. Select the runtime based on where decisions need to execute, how they will be integrated and operated, and which deployment architecture best supports the application.

• Decision Services will be deployed and centrally managed through Corticon Server and Web Console.
• Java, .NET, or existing Corticon Server integration is required.
• The organization uses Corticon Server administration, monitoring, and deployment practices.
• The application requires Corticon Server extensions, server-managed data integration, or server-specific capabilities.
• A managed server platform is preferred for transactional or batch decision processing.

• JavaScript or Node.js is the preferred enterprise application runtime.
• Decision Services will be deployed as centralized Node.js services, containerized APIs, cloud services, or serverless functions.
• The architecture requires high-volume decision processing with flexible horizontal scaling across runtime instances.
• Decision logic must execute close to the application, user, event, or governed data.
• The same decision technology may be used across centralized services, browsers, mobile applications, embedded environments, data platforms, or edge environments.
• Portable, self-contained JavaScript deployment is important.
• Low-latency local or offline execution is part of the application architecture.
• The surrounding platform will provide deployment, observability, scaling, and operational management.

These considerations describe different deployment and operational models. They do not establish a hierarchy of rule complexity, decision importance, production readiness, performance, or enterprise scalability between the runtimes. A solution may also use both runtimes when different application components have different deployment, integration, or operational requirements.

• Corticon documentation
• Progress Corticon product information
• Corticon.js product information
• Corticon Studio guide
• Corticon.js Studio guide
• Corticon.js samples
• Corticon Classic samples