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What users experience as "responsiveness" is the time from when they stop speaking to when they hear the first syllable of the agent's response. That path runs through turn detection, transcription, LLM time-to-first-token, text-to-speech synthesis, outbound audio buffering, and network hops between all of them. You optimize this by identifying which stages sit on the critical path and making sure nothing blocks unnecessarily.
When you've handled all the dry messes, the robot can handle mopping on all your hard floors with its Multi-Surface Formula, then it will move to its docking station all its own to empty everything out. It holds up to 8 weeks of dirt in a bagless base, so you don't even have to get your hands dirty when it's time to tidy up the robot vacuum's space.