Clinc, Inc.

Connor Witt

Jamal El-Mokadem

Matthew Mueller

A system, method, and computer-program product includes instantiating a user interface (UI) that provides a user with a graphical environment for creating a model orchestration mesh controlling an operation of a plurality of disparate AI dialogue models, automatically installing, within the graphical environment of the UI, a root socket node, digitally assigning a first disparate AI dialogue model of the plurality of disparate AI dialogue models to the root socket node, automatically generating, within the graphical environment of the UI, a plurality of distinct mesh socket nodes, receiving, via the UI, an input from the user selecting a graphical UI control element displayed on the UI that, when selected, changes a state of the UI to an interactive gesture-based tracking state, constructing, within the graphical environment of the UI, a plurality of graphical socket transitions while the UI is in the interactive gesture-based tracking state.

Systems and methods for intelligently configuring and deploying a model orchestrator mesh of a machine learning-based dialogue system using a graphical user interface

Systems and methods for configuring a dialogue guidance graph that governs a set of operations of an automated dialogue system and that includes encoding a recall operation to a target graphical node of the graph, wherein the recall operation causes: an accessing of a temporary data storage storing a log of data of an active dialogue session between a user and the automated dialogue system, an assessment of a terminality attribute associated with the target graphical node, a determination of whether the terminality attribute is disabled or enabled, wherein if the terminality attribute is disabled, the recall operation, causes the automated dialogue system to revert the active dialogue session to the target graphical node to perform one or more dialogue-based operations between the user and the automated dialogue system that converts the terminality attribute of the target graphical node from the disabled state to the enabled state.

Systems and methods for intelligently configuring and deploying a conversational memory-informed control structure of a machine learning-based dialogue system

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Ann Arbor, MI, United States of America

Connor Witt