Abstract: A data processing system for providing a service to extract information from a resource includes: a network interface for communicating over a computer network; a scraper tool to receive user instruction specifying a target resource and to extract content from the specified resource, wherein the user instruction further specifies a desired restructuring of the extracted content; and a prompt generator to structure the extracted content into a prompt for an Artificial Intelligence (AI) model, the prompt further directing the AI model to restructure the extracted content based on the user instruction. The prompt generator is to call the AI model with the generated prompt. The service is to receive restructured content from the AI model and provide the restructured content to a workstation submitting the user instruction, the restructured content presenting the content of the target resource in a form according to the user instruction.

Abstract: A data processing system for providing a service to extract information from a resource includes: a network interface for communicating over a computer network; a scraper tool to receive user instruction specifying a target resource and to extract content from the specified resource, wherein the user instruction further specifies a desired restructuring of the extracted content; and a prompt generator to structure the extracted content into a prompt for an Artificial Intelligence (AI) model, the prompt further directing the AI model to restructure the extracted content based on the user instruction. The prompt generator is to call the AI model with the generated prompt. The service is to receive restructured content from the AI model and provide the restructured content to a workstation submitting the user instruction, the restructured content presenting the content of the target resource in a form according to the user instruction.

Abstract: Technology is disclosed herein for a foundation model service integration for personalized engagement with respect to an application service. In an implementation, a computing apparatus receives natural language input from a user relating to a job to be performed by one or more applications. The computing apparatus receives a targeted portion generated by an AI engine which includes information relating to the user with respect to the one or more applications. The computing apparatus generates a prompt for a foundation model service including a global portion and a targeted portion. The prompt tasks the foundation model service with identifying one or more tasks relating to the job and identifying a recommended application in association with the task. The computing apparatus enables display of the one or more task and the one or more recommended applications from the foundation model service in a user interface.