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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New AI-driven protein design tools seem to appear every few months, each claiming better binder success rates than the last. How do you personally decide which ones are worth learning versus which are hype, and how do you evaluate a new tool before it touches a real program?
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