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Provingly and Luego
Front end + context manager + inference engine
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The Luego Language
Developing an App
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Provingly and Luego
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Why Luego and Provingly
Use cases
Use cases
Generic use cases
Generic use cases
Shared decision service
Configuration service
Dynamic questionnaire
Conversational agent
Industry use cases
Industry use cases
Insurance
Insurance
Dynamic questionnaire for insurance claims
Authorizing insurance policy underwriting
Insurance pricing
Government
Government
Tax conversational agent
Telecom & cloud services
Telecom & cloud services
Cluster configuration
Architectural and integration patterns
Architectural and integration patterns
Web service REST call
Embedded call
Batch processing
Front end + context manager + inference engine
Agentic architecture
Get Started
Get Started
Tutorials
Playing with sample apps
Your first app
The Luego Language
The Luego Language
Intro
Data types
Data types
Predefined data types
User defined data types
Implementing business logic
Implementing business logic
Programming with expressions
Working with incomplete data
Your own functions
Decision models
Infer and configure operations
Function libraries
Function libraries
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statistics
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Developing an App
Developing an App
Anatomy of an app
Custom data types
Functions and decision models
The lifecycle of an app
Modeling Guide
Modeling Guide
Domain-driven design
Situated actions
Platform and APIs
Platform and APIs
Architecture
App execution APIs
App management APIs
Application specific APIs
FAQ
FAQ
Technical FAQ
Use cases FAQ
Business FAQ
3 lqyer architecture: Front End + Context Manager + Inference Engine
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