Abstract: Systems, methods, and products for continuous adaptive learning for agentic workflows, including: executing an agentic workflow implemented using an artificial intelligence (AI) agent in response to a task request; collecting learning signals associated with execution of the agentic workflow, wherein the learning signals are associated with one or more of: an output of the AI agent or a behavior of the AI agent in response to the task request; generating, based on the learning signals, an update for the AI agent; and updating a plurality of AI agents comprising the AI agent using a plurality of updates comprising the update and one or more other updates associated with one or more other AI agents included in the plurality of AI agents.

Abstract: The technology disclosed herein identifies claims made in electronic content items that are disputed. In a particular implementation, a method provides extracting first claims from language in a set of electronic content items and determining that a disputed claim of the first claims is disputed by one or more disputing entities. The method further includes storing claim information about the disputed claim in a repository. The claim information indicates the disputed claim, one or more supporting entities that support the disputed claim, and the disputing entities. The method also includes receiving analysis parameters from a user, wherein the claim information satisfies the analysis parameters. In response to receiving the analysis parameters, the method includes presenting at least a portion of the claim information to the user.