Abstract: The technology disclosed relates to a method for inducing an agent-under-test (AUT) to disclose respective outputs in response to processing a target input probe. An agent sampling logic is configured to analyze respective outputs to determine whether the outputs represent a sample for the target input probe and to also determine a confidence level of the respective outputs being the sample for the target input probe.

Abstract: The technology disclosed relates to a method for constructing a probeable output generative space of an agent-under-test (AUT) for a target input probe which includes inducing an agent-under-test (AUT) to disclose a plurality of outputs in response to processing a target input probe which includes constructing a probeable output generative space based on the plurality of outputs and probing the probeable output generative space for a query, and making available results of the probing for further analysis.

Abstract: The technology disclosed relates to a method of agent-generated search analytics. In particular, the technology disclosed relates to inducing an agent-under-test (AUT) to disclose respective outputs in response to processing a target input probe, analyzing the respective outputs and generating one or more analytics corresponding to the target input probe, and causing a topic large language model (LLM) to identify topics by sampling the respective outputs, and storing the topics in memory for further use.

Abstract: The technology disclosed relates to a method for inducing an agent-under-test (AUT) to disclose respective outputs in response to processing a target input probe. An agent sampling logic is configured to analyze respective outputs to determine whether the outputs represent a sample for the target input probe and to also determine a confidence level of the respective outputs being the sample for the target input probe.

Abstract: The technology disclosed relates to a system for constructing a probeable output generative space of an agent-under-test (AUT) for a target input probe. An agent sampling logic is configured to induce an agent-under-test (AUT) to disclose a plurality of outputs in response to processing a target input probe. A space construction logic, having access to the plurality of outputs, is configured to construct a probeable output generative space based on the plurality of outputs. A space probing logic, having access to the probeable output generative space, is configured to probe the probeable output generative space for a query, and to make available results of the probing for further analysis.