This invention describes a system that processes search results from a query. It cleans and structures the data from these results into a table, then generates multiple potential solutions. An artificial intelligence engine then uses different "digital personas," which represent specific rules or preferences, to score these solutions and pick the best one.
Why it matters: Filed before large language models could easily normalize search results and embody complex personas for scoring. This significantly simplifies the core AI engine development.
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