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A developer building a multi-agent operations system for a logistics company discusses the challenge of giving agents institutional knowledge without fine-tuning, opting for a retrieval layer with human-in-the-loop approval.
A production system of 8 AI agents autonomously caught and fixed three distinct failure modes overnight, including an infrastructure bug, a platform parsing bug, and a documentation bug, demonstrating a self-improvement loop that treats code and process failures identically.