US 12,450,037 B1
Automatic generation and execution of computer-executable commands using artificial intelligence models
Ganesh Prasad Bhat, New Jersey, NJ (US)
Assigned to CITIBANK, N.A., , NY (US)
Filed by Citibank, N.A., New York, NY (US)
Filed on May 23, 2025, as Appl. No. 19/217,943.
Int. Cl. G06F 8/35 (2018.01)
CPC G06F 8/35 (2013.01) 20 Claims
OG exemplary drawing
 
1. A system for automatically generating and executing computer programs using artificial intelligence (AI) models, the system comprising:
at least one hardware processor; and
at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
receive, from a graphical user interface (GUI) of a computing device, an output generation request to generate an output using an unstructured dataset,
wherein the output satisfies a guideline set defining an operative boundary set of the output generation request;
determine, using a first AI model set, a feature set of the unstructured dataset that includes (1) a variable set and (2) a corresponding value set of each variable in the variable set within the unstructured dataset;
responsive to one or more values in the corresponding value set of each variable satisfying a predefined threshold, dynamically generate, using a second AI model set, a programmatic workflow set stored in a distributed database by mapping a vector representation of each feature of the feature set to: (1) an antecedent set representative of the feature, (2) a corresponding programmatic workflow of the programmatic workflow set satisfying the operative boundary set of the guideline set, and (3) one or more nodes of the distributed database,
wherein the corresponding programmatic workflow triggers a sequence of computer-executable commands responsive to satisfying the antecedent set,
wherein each node of the one or more nodes are assigned a unique hash by applying a particular hash function on the node, and
wherein the one or more nodes are each linked to a corresponding unique hash of a different node in the distributed database;
automatically execute, using a third AI model set, the sequence of computer-executable commands triggered by the programmatic workflow set on the computing device to generate an artifact responsive to the output generation request; and
display, on the GUI of the computing device, a graphical layout that includes (1) a first graphical representation indicative of the output generation request, (2) a second graphical representation indicative of the programmatic workflow set, and (3) a third graphical representation indicative of the generated artifact.