Generative ai prompt cycle and refinement for industrial automation visualization

A method, comprising:

• rendering, by a system comprising a processor, a human-machine interface (HMI) development interface on a client device;
• receiving, by the system via interaction with the HMI development interface, natural language design input that describes a functional requirement of an HMI project being developed using the system, wherein the HMI project defines display screens, layouts of graphical objects on the display screens, and communication links between the graphical objects and corresponding sources of data generated by an industrial automation system;
• in response to determining, based on analysis of the natural language design input, that additional information will allow the system to determine an edit to the HMI project having a probability of satisfying the functional requirement that exceeds a threshold:
• generating, by the system, a natural language response that prompts for the additional information;
• rendering, by the system, the natural language response via the user interface component;
• and
• determining, by the system, the edit to be applied to the HMI project based on analysis of the natural language design input, content of one or more custom models trained with training data, and the additional information;
• and
• applying, by the system, the edit to the HMI project.

A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause a human-machine interface (HMI) development system comprising a processor to perform operations, the operations comprising:

• rendering a human-machine interface (HMI) development interface on a client device;
• receiving, via interaction with the HMI development interface, natural language design input that describes a functional requirement of an HMI project being developed using the system, wherein the HMI project defines display screens, layouts of graphical objects on the display screens, and communication links between the graphical objects and corresponding sources of data generated by an industrial automation system;
• in response to determining, based on analysis of the natural language design input, that additional information will allow the HMI development system to determine an edit to the HMI project having a probability of satisfying the functional requirement that exceeds a threshold:
• generating a natural language response that prompts for the additional information;
• rendering the natural language response via the user interface component;
• and
• determining the edit to be applied to the HMI project based on analysis of the natural language design input, content of one or more custom models trained with training data, and the additional information;
• and
• applying the edit to the HMI project.