Parallel interaction interface for machine learning models

A parallel interaction user interface system, comprising:

• a computing device comprising at least one processor and at least one non-transitory computer-readable medium storing computer readable instructions that, when executed by the at least one processor, cause the computing device to:
• receive, in a first ML model interface window of a parallel interaction user interface, wherein the first ML model interface window is associated with a first identifier;
• receive, within a prompt entry field in a second ML model interface window of the parallel interaction user interface, second data, wherein the second data includes the first identifier;
• responsive to a presence of the first identifier, generate a first ML model prompt based on the first data and the second data;
• provide the first ML model prompt to an ML model;
• receive, from the ML model, a first model response;
• and
• display the first model response in the second ML model interface window.

A non-transitory computer-readable medium comprising instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• receiving first data in a first machine learning (ML) model interface window of a parallel interaction user interface, wherein the first ML model interface window is associated with a first identifier;
• receiving, within a prompt entry field in a second ML model interface window of the parallel interaction user interface, second data, wherein the second data includes the first identifier;
• responsive to a presence of the first identifier, generating a first ML model prompt based on the first data and the second data;
• providing the first ML model prompt to an ML model;
• receiving, from the ML model, a first model response;
• and
• displaying the first model response in the second ML model interface window.