The agent architecture here reminds me of challenges we hit building voice AI for startup validation — the gap between what works in benchmarks and what actually handles the messiness of real conversations is huge. One thing we learned: multi-turn context management and graceful error recovery matter way more than raw reasoning capability. Curious if you're seeing similar patterns with Qwen3.6-Plus in production deployments?