Post-work summary generation, refinement, and update for field service calls

Abstract

Disclosed herein are system, method, and computer program product aspects for textual post-work summary generation, refinement, and/or update. An example implementation operates by generating a first natural-language textual prompt based on a textual transcription of a first speech of a user and a first prompt template selected based on a work order. The implementation then queries a LLM with the first natural-language textual prompt to generate a textual post-work summary. The implementation then generates a second natural-language textual prompt based on a textual transcription of a second speech of the user and a second prompt template. The implementation then queries the LLM with the second natural-language textual prompt that directs the LLM to refine the textual post-work summary. In addition, the implementation updates the work order based on the refined textual post-work summary. In some aspects, the implementation may generate an updated textual post-work summary based on incorporating a textual transcription of a third speech of the user into the generated and/or the refined textual post-work summary, and then update the work order based on the updated textual post-work summary.