Abstract
The creation of digital assets using generative machine learning models can be disconnected from the process of producing a corresponding physical object, potentially involving manual file transfers between separate platforms. The systems and methods describe a conversational agent that can orchestrate a digital-to-physical fulfillment pipeline. This agent can parse user dialogue to distinguish between creative prompts for generating a digital asset and commands for its physical production. Upon receiving a fulfillment request, an orchestration engine can analyze the asset to select a suitable fabrication method and a production partner, which may include third-party vendors or a user’s local hardware. This technology can provide a unified framework that integrates generative design with procurement and logistics, managing the workflow from a digital concept to a tangible product within a single conversational interface.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Nanek, Lance, "Conversational Agent for Orchestrating Physical Fulfillment of Generative AI Outputs", Technical Disclosure Commons, (December 10, 2025)
https://www.tdcommons.org/dpubs_series/9007