Executing an execution plan with a digital assistant and using large language models

A system comprising:

• one or more processors;
• and
• one or more computer-readable media storing instructions which, when executed by the one or more processors, cause the system to perform operations comprising:
• generating, by a first generative artificial intelligence model, a list comprising one or more executable actions based on a first prompt comprising a natural language utterance provided by a user;
• creating an execution plan comprising the one or more executable actions;
• executing the execution plan, wherein executing the execution plan comprises performing an iterative process for each executable action of the one or more executable actions, and wherein the iterative process comprises:
• identifying an action type for an executable action,
• invoking one or more states configured to execute the action type, and
• executing, by the one or more states, the executable action using an asset to obtain an output;
• generating a second prompt based on the output obtained from executing each of the one or more executable actions;
• and
• generating, by a second generative artificial intelligence model, a response to the natural language utterance based on the second prompt.

One or more non-transitory computer-readable media storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• generating, by a first generative artificial intelligence model, a list comprising one or more executable actions based on a first prompt comprising a natural language utterance provided by a user;
• creating an execution plan comprising the one or more executable actions;
• executing the execution plan, wherein executing the execution plan comprises performing an iterative process for each executable action of the one or more executable actions, and wherein the iterative process comprises:
• identifying an action type for an executable action,
• invoking one or more states configured to execute the action type, and
• executing, by the one or more states, the executable action using an asset to obtain an output;
• generating a second prompt based on the output obtained from executing each of the one or more executable actions;
• and
• generating, by a second generative artificial intelligence model, a response to the natural language utterance based on the second prompt.