Techniques for intent-based search for bots

This invention describes a system that helps users find the right automated assistant, or bot, for their needs. It works by collecting descriptions of what different bots can do, written in everyday language. When a user asks for a service, also in everyday language, the system compares the user's request to the bots' descriptions to find the best match and suggests those bots to the user.

Why it matters: Filed before large language models became widely available and powerful. The core task of understanding and matching natural language descriptions of bot capabilities to user prompts is now significantly easier and more accurate with modern AI, which can handle the semantic nuances that were challenging in 2017.

Status: Not in forceListed as no longer active.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

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