How do you design human-in-the-loop checkpoints so an agent can pause, ask, and resume?
Autonomous agents still need humans at the right moments. The signal is designing checkpoints: where to interrupt, what to surface, how to persist and resume state, without reducing the agent to a click-through rubber stamp.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Autonomous agents still need humans at the right moments. The signal is designing checkpoints: where to interrupt, what to surface, how to persist and resume state, without reducing the agent to a click-through rubber stamp.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
