Abstract
Generative artificial intelligence (AI) tools can accelerate workflow prototyping but remain inherently unreliable — the same prompt can yield inconsistent, incomplete, or broken outputs. Proposed herein is an innovation that bridges the gap between AI prototyping and production-grade automation by capturing validated “golden outputs,” extracting them into reusable briefs ("golden briefs"), and regenerating workflows deterministically through template-aware automation. Layered validation, including schema compliance, simulation with golden inputs, and regression testing ensures that every workflow produced is correct, reproducible, and ready for production deployment.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tai, Wai, "DETERMINISTIC WORKFLOW GENERATION FROM AI-GENERATED PROTOTYPES", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/9085