Contextual action predictions

This invention describes a method for an electronic device to offer smart suggestions based on what you're looking at. When you interact with content on your screen, the device figures out what kind of content it is, pulls out key information, and then predicts useful actions you might want to take. It then shows you these suggested actions, potentially using a "content graph" to understand the meaning behind the content.

Why it matters: Filed before the widespread adoption of advanced large language models (LLMs). These models can now more effectively determine content types, extract data, understand semantic properties, and generate highly relevant contextual actions, making the core functionality significantly more powerful and easier to implement.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex AI/ML algorithms

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