Context-dependent query generation and presentation

A method comprising:

• facilitating artificial intelligence (AI) queries by returning, to a device, indications of issues with an AI-created query related to a user query, in response to receiving the user query from the device, despite receiving the user query from the device as opposed to receiving the AI-created query from the device,
• wherein facilitating the AI queries comprises:
• determining a match between (1) a target computing environment or database identified from a set of inputs comprising a user-provided query and (2) a stored context parameter;
• in response to a determination of the match between the target computing environment or database and the stored context parameter, selecting, from a model set, a plurality of language models, trained on values of a schema associated with the matching stored context parameter, to process the user-provided query, the plurality of language models comprising a non-deterministic language model and a error-detecting language model;
• after obtaining an AI-generated query derived from the user-provided query using the non-deterministic language model, identifying an issue-indicated portion of the AI-generated query using the error-detecting model;
• and
• based on the issue-indicated portion of the AI-generated query, generating, and sending to a client device from which the user-provided query was obtained, text indicating the issue-indicated portion associated with a detected issue and an issue category identifying the detected issue, wherein, in connection with the sending, the client device visually emphasizes a portion of a text form of the AI-generated query that indicates the issue-indicated portion concurrently with a presentation of the issue category.

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

• facilitating artificial intelligence (AI) queries by returning, to a device, indications of issues with a AI-created query related to a user query, in response to receiving the user query from the device, despite receiving the user query from the device as opposed to receiving the AI-created query from the device,
• wherein facilitating the AI queries comprises:
• in response to a match between (i) a target computing environment or database identified from a set of inputs comprising a user-provided query and (ii) a stored context parameter, selecting, from a model set, a plurality of language models, trained on values of a schema associated with the matching stored context parameter, to process the user-provided query, the plurality of language models comprising a first non-deterministic language model and a error-detecting model;
• after obtaining an AI-generated query derived from the user-provided query using the non-deterministic language model, identifying an issue-indicated portion of the AI-generated query using the error-detecting model;
• and
• based on the issue-indicated portion of the AI-generated query, generating, and sending to a client device from which the user-provided query was obtained, text indicating the issue-indicated portion associated with a detected issue and an issue category identifying the detected issue, wherein the client device visually emphasizes a portion of a text form of the AI-generated query that indicates the issue-indicated portion concurrently with a presentation of the issue category.