Glages: The Model Factory as a Distinct Technology
Glages belongs to a distinct technology category because its primary artifact is the Glages Model and its primary industrial problem is systematic model production.
Glages is a formal-model production technology for creating explicit, machine-checkable Glages Models from generalized domain knowledge.
The Glages Model Factory Project develops the production system required to create, verify, release, reuse, compose, specialize, and maintain those models systematically.
One major application is the Glages Business-Domain Model Factory, which applies this technology to business processes and business domains for AI automation and software systems.
The Core Artifact Is the Glages Model
A Glages-based system may contain agents, workflows, rules, graphs, retrieval, evaluation, compilers, analyzers, and runtimes. Those mechanisms can support production or execution, but the Glages Model remains the explicit semantic artifact that defines the modeled world and its machine-checkable boundaries.
Models Define Meaning Before Execution
Agent frameworks and workflow engines are useful execution mechanisms once a task and its available actions are already understood. Glages addresses the model layer that defines what the relevant Entities, Processes, states, facts, conditions, actions, changes, results, relationships, and stopping boundaries mean.
An agent or workflow can therefore operate inside model-defined boundaries without becoming the source of those boundaries.
Rules Belong Inside a Broader Formal Structure
Rules are one component of a Glages Model. The model can also define Entities, Processes, states, relationships, facts, required-fact contracts, actions, changes, Results, Outputs, authority requirements, and stopping conditions.
This broader structure makes rules part of an explicit modeled world rather than an isolated decision mechanism.
Semantic Structures Can Support Model Production
Ontologies and knowledge graphs can make concepts and relationships explicit. Retrieval can provide relevant documentary evidence. These technologies can participate in model production, but a Glages Model must represent the complete formal structure required for its declared computational purpose.
Generalized domain evidence is processed during model production so that stable semantics do not have to be reconstructed repeatedly from retrieved passages at runtime.
Verification Operates Against an Explicit Model
Evaluation, observability, traces, analyzers, and tests become more useful when they can operate against explicit model semantics. A Glages Model provides the structure and boundaries against which candidate model artifacts and model-governed behavior can be checked.
The Positive Definition of Glages
Glages produces Glages Models as explicit, formal, machine-checkable structures. After Release, they become reusable model products that licensees can apply in different environments.
A Glages Model is an explicit, formal, machine-checkable model of the Entities, Processes, states, relationships, facts, conditions, actions, changes, results, and boundaries required for a defined computational purpose. Candidate, Accepted, and Released are lifecycle states of that model.
Across applications, the important model properties are formal structure, verifiability, reuse, composition, specialization, explicit stopping boundaries, and reduced dependence on runtime inference.
The same technology can support different application domains, including AI automation and software systems, autonomous systems, robotics, formal verification and certification, simulation, planning, software design, and edge or inference-constrained systems.
Within business automation, the Glages Business-Domain Model Factory produces process and business-domain Glages Models, composes compatible accepted or released Glages Model assets, verifies candidate models through factory gates, releases reusable products, and maintains accepted and released assets in the Model Library.
Agent frameworks, workflow engines, rules systems, ontologies, retrieval systems, evaluation tools, compilers, analyzers, runtimes, and other technologies may participate in a Glages-based system.
None of them defines Glages.
The defining products are released, reusable Glages Models, produced systematically through the Glages Model Factory.