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Agents that return unreliable results are usually hitting a representation problem, not a prompting one. Associative search and memory can surface plausible patterns within the data that keyword and embedding similarity both miss. HDC systems can learn online, from a handful of examples, rather than needing to retrain a model from scratch. If these problems resonate with you, we'd love to hear more.