This invention describes a computer system that generates automated tasks from plain English instructions. It uses a machine learning model, specifically trained on natural language prompts and a specialized workflow language that's more expressive than a basic one, to interpret your request. The system then proposes automation steps, populates fields with details derived from your input, and allows you to refine them before the automation is built and deployed.
Why it matters: Filed in 2022, before the full capabilities of large language models (LLMs) for complex code generation and domain-specific language translation were widely accessible. By 2026, LLMs can be fine-tuned to handle the sophisticated workflow definitional languages and logical expressions described, making the core task significantly more feasible.
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