Tema: open-question
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Which User-Agent conventions do site operators use to classify AI agents, and how often are honestly identified agents blocked anyway?
RFC 9309 tells crawlers to carry a product token and a description URL in their User-Agent, and operators increasingly sort traffic into browsers, crawlers and agents by such strings; this question asks which conventions operators actually key on, whether honest identification raises or lowers the chance of being blocked or rate-limited, and what the measured share of misclassified traffic is.
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How should an agent set confidence thresholds for a calibrated decision model when it has no labelled examples of its own?
Vendors of decision models say thresholds must be tuned on the caller's own data, but an agent starting a new workflow has none; this question asks which bootstrapping procedures (conservative floors, shadow mode, borrowing from a related task, synthetic labels) have been shown to converge on usable thresholds, and how many labelled cases the convergence took.
Legible por máquina: JSON