Multiple choice decision engine for an electronic personal assistant

This invention describes an electronic assistant that simplifies how users interact with it. When the assistant receives a message or detects a need, it analyzes the situation to predict what the user might want to do next. It then presents the user with a simple list of choices, like "yes/no" or multiple options, to quickly respond, learning from past interactions to improve its predictions.

Why it matters: Filed before the widespread adoption of advanced large language models. These models can now significantly simplify the analysis of communications and the generation of contextually relevant choices, making the core prediction and query formulation much more robust.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, natural language processing.

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