AI-ready questions test whether you can reason about LLMs and AI systems as engineering material — limits, costs, evaluation, failure modes — not just hype.
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You’re designing a multi-step agentic workflow that adjusts SEM bids, pauses underperforming ad sets, and reallocates budget across a portfolio of client accounts with only periodic human check-ins. As the owner of this system, what guardrails do you put on the agent’s authority, and what triggers an immediate human escalation?
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