Qwen team's Zhu Da on consumer agents: 3× faster execution, 10× cheaper token cost vs overseas products

千问团队朱达：C端Agent Harness的"多快好省"工程哲学与主动服务探索

Qwen App shipped a general-purpose complex-task agent behind a capsule entry point in January 2026. Team lead Zhu Da frames the engineering philosophy as 'more, faster, better, cheaper': it handles info gathering and research tasks, execution time is down to one-third of the initial version, delivery quality improved through search paradigms and context management, and token cost is only one-tenth of comparable overseas products. The team is building toward proactive service with four components—User Memory, Environment, Task System, Assistant—and Zhu calls 'emotional intelligence' the hardest part. He maps agent engineering from Prompt Engineering to Harness Engineering, with AIWare Engineering as the next stage, guided by 'low power, good enough.' The post is an RSS snippet; it doesn't disclose specific latency figures or a timeline for proactive features.

Why it matters: A substantive engineering share from Qwen's consumer Agent team with real metrics and architecture breakdown. The self-reported nature and lack of third-party validation cap the score, but the 'more-faster-better-cheaper' framework and proactive-service design are directly use...