IP Library Granted Patent US 12699363
Granted Patent B2
US 12699363 · App. 18/792,290 · Granted Aug 4, 2026

Devices, systems, and methods for autonomously generating and implementing machine executable files

Inventor: Shaunt Sarkissian (Reno, NV)
Assignee: AI-ID, Inc.
G05B13/0265
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Quick Facts
Patent No.
US 12699363
App. No.
18/792,290
Granted
Aug 4, 2026
Kind
B2
Abstract

A system for autonomously generating an implementing a machine executable file is disclosed herein. The system can include a node and an artificial intelligence generated machine executable (“AGMX”) platform communicatively coupled to the node. The AGMX platform can include a control circuit and a memory to store an artificial intelligence model that, when executed by the control circuit, causes the AGMX platform to receive a user input including an objective, generate an instruction for the node to execute based on the objective, determine a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction, generate an AGMX file including the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node, and transmit the AGMX file to the node for execution by the node.

Claims (73)

1 . A system for autonomously generating and implementing a machine executable file, the system comprising:

a node; and

an artificial intelligence generated machine executable (“AGMX”) platform communicatively coupled to the node, wherein the AGMX platform comprises a control circuit and a memory to store an artificial intelligence (“AI”) model that, when executed by the control circuit, causes the AGMX platform to:

receive a user input comprising an objective;

generate an instruction for the node to execute based on the objective;

determine a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction;

generate an AGMX file comprising the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node; and

transmit the AGMX file to the node for execution by the node; and

a risk management platform comprising a second control circuit and a second memory to store an algorithm that, when executed by the second control circuit, causes the risk management platform to:

receive sensor data from the node;

detect the management authority protocol assigned to the node;

determine the node did not comply with the management authority protocol based on a threshold and features extracted from the sensor data associated with the node; and

generate a remedial action to resolve the determined non-compliance.

2 . The system of claim 1 , wherein the node comprises a sensor to generate the sensor data.

3 . The system of claim 2 , wherein, when executed by the control circuit, the AI model further causes the AGMX platform to:

receive the sensor data from the node;

generate a modified AGMX file based on the sensor data, wherein the modified AGMX file is to be executed by the node in lieu of the AGMX file; and

transmit the modified AGMX file to the node for execution by the node.

4 . The system of claim 1 , wherein the remedial action comprises at least one of a modified AGMX file, a command to power the node down, a command to disable a component of the node, a command to operate infrastructure within an operating environment of the node, or an alert to be presented within the operating environment of the node, or combinations thereof.

5 . The system of claim 1 , wherein the management authority protocol enables the node to resolve a physical obstruction unforeseen by the AGMX file without requiring intervention from the AGMX platform.

6 . The system of claim 1 , wherein the management authority protocol enables the node to revise an executable plan defined by the AGMX file without requiring intervention from the AGMX platform.

7 . The system of claim 1 , wherein the management authority protocol enables the node to vary from a vector defined by the AGMX file without requiring intervention from the AGMX platform.

8 . The system of claim 1 , wherein the management authority protocol designates the node as a control node relative to a second node.

9 . The system of claim 1 , wherein the node comprises a third control circuit and a third memory to store a local AI engine that, when executed by the third control circuit, causes the node to:

generate a second instruction for the second node to execute based on the objective;

determine a second management authority protocol to be assigned to the second node, wherein the second management authority protocol defines an ability of the second node to deviate from the second instruction, and wherein the second management authority protocol requires the second node to be subservient to the node;

generate an sub-artificial intelligence generated machine executable (“SAGMX”) file comprising the second instruction and the second management authority protocol, and wherein the SAGMX file is to be executed by the second node; and

transmit the SAGMX file to the second node for execution by the second node.

10 . The system of claim 9 , wherein the second node comprises a sensor to generate sensor data, and wherein, when executed by the control circuit, the local AI engine further causes the node to:

receive the sensor data from the second node;

generate a modified SAGMX file based on the sensor data, wherein the modified SAGMX file is to be executed by the second node in lieu of the SAGMX file; and

transmit the modified SAGMX file to the second node for execution by the second node.

11 . An artificial intelligence generated machine executable (“AGMX”) platform for autonomously generating and implementing a machine executable file, the AGMX platform comprising:

a control circuit; and

a memory to store an artificial intelligence (“AI”) model that, when executed by the control circuit, causes the AGMX platform to:

receive a user input comprising an objective;

generate an instruction for a node to execute based on the objective;

determine a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction;

generate an AGMX file comprising the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node;

transmit the AGMX file to the node for execution by the node;

generate a modified AGMX file based on sensor data, wherein the modified AGMX file is to be executed by the node in lieu of the AGMX file; and

transmit the modified AGMX file to the node for execution by the node.

12 . The AGMX platform of claim 11 , wherein the node comprises a sensor to generate the sensor data, and wherein, when executed by the control circuit, the AI model further causes the AGMX platform to:

receive the sensor data from the node;

generate a modified AGMX file based on the sensor data, wherein the modified AGMX file is to be executed by the node in lieu of the AGMX file; and

transmit the modified AGMX file to the node for execution by the node.

13 . The AGMX platform of claim 11 , wherein the management authority protocol enables the node to revise an executable plan defined by the AGMX file without requiring intervention from the AGMX platform.

14 . The AGMX platform of claim 11 , wherein the management authority protocol enables the node to vary from a vector defined by the AGMX file without requiring intervention from the AGMX platform.

15 . A method for autonomously generating and implementing a machine executable file, the method comprising:

receiving, via a control circuit, a user input comprising an objective;

generating, via the control circuit, an instruction for a node to execute based on the objective;

determining, via the control circuit, a management authority protocol to be assigned to the node, wherein the management authority protocol defines an ability of the node to deviate from the instruction;

generating, via the control circuit, an AGMX file comprising the instruction and the management authority protocol, wherein the AGMX file is to be executed by the node;

transmitting, via the control circuit, the AGMX file to the node for execution by the node; and

receiving sensor data from the node based on execution of the AGMX file by the node;

detecting the management authority protocol assigned to the node;

determining a non-compliance to the management authority protocol based on the sensor data and a threshold; and

generating a remedial action to resolve the non-compliance.

16 . The method of claim 15 , further comprising:

generating a modified AGMX file based on the sensor data, wherein the modified AGMX file is to be executed by the node in lieu of the AGMX file; and

transmitting the modified AGMX file to the node for execution by the node.

17 . The method of claim 15 , wherein the remedial action comprises at least one of a modified AGMX file, a command to power the node down, a command to disable a component of the node, a command to operate infrastructure within an operating environment of the node, or an alert to be presented within the operating environment of the node, or combinations thereof.

18 . The method of claim 17 , further comprising:

generating a second instruction for a second node to execute based on the objective;

determining a second management authority protocol to be assigned to the second node, wherein the second management authority protocol defines an ability of the second node to deviate from the second instruction, and wherein the second management authority protocol requires the second node to be subservient to the node;

generating an sub-artificial intelligence generated machine executable (“SAGMX”) file comprising the second instruction and the second management authority protocol, and wherein the SAGMX file is to be executed by the second node; and

transmitting the SAGMX file to the second node for execution by the second node.

19 . A risk management platform comprising a control circuit and a memory to store an algorithm that, when executed by the control circuit, causes the risk management platform to:

receive the sensor data from a nodes;

detect a management authority protocol assigned to the node;

determine that the node did not comply with the detected management authority protocol based on a threshold and features extracted from the sensor data associated with the node; and

generate a remedial action to resolve the determined non-compliance.

20 . The risk management platform of claim 19 , wherein the remedial action comprises at least one of a modified AGMX file, a command to power the node down, a command to disable a component of the node, a command to operate infrastructure within an operating environment of the node, or an alert to be presented within the operating environment of the node, or combinations thereof.