Why a Successful Browser Automation Run Does Not Mean You Have Permission to Proceed
AI-controlled browser agents can complete tasks technically while still violating platform rules, data rights, or legal boundaries, as a green run only confirms one request was accepted. A case study shows an agent responding to 429 and 403 errors by retrying aggressively, turning a minor failure into a burst of unwanted traffic. Engineers are warned that technical accessibility is just one layer of a broader decision that also involves account permissions, contractual terms, and applicable law. Signals like stable sessions, normal HTTP responses, and passing dashboards do not constitute authorization to automate at scale. The recommended fix is an explicit response policy set before the first request, with defined retry budgets, backoff limits, and stop conditions that prevent AI agents from improvising under goal pressure.
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