Aixplain, Inc.

Nur Al-huda Anwer Hamdan

Hassan Sawaf

Mohamed Elbadrashiny

Thiago Castro Ferreira

The present disclosure relates to a system and method for generating an outcome in response to a user query using an AI agent controller equipped with a large language model. The AI agent controller receives the user query, determines a sequence of tasks required to achieve the outcome, and communicates the sequence to a Central Agent Name and Attribute Registry (CANAR) containing a repository of registered AI agents. The CANAR identifies and obtains responses from AI agents capable of executing the tasks. The AI agent controller then coordinates the execution of these tasks by the selected AI agents to generate the specified outcome. The system further includes functionalities for validating user queries, cataloging AI agents, and dynamically prioritizing tasks based on user preferences or urgency. Additionally, the system supports real-time updates of the AI agent repository and task distribution based on geographical proximity, ensuring efficient and accurate task execution.

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San Jose, CA, United States of America

Nur Al-huda Anwer Hamdan