秋招信息战打不动？我们测了千问的新功能，让Agent全程陪跑
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Merged summary
TL;DR - 智东西 hands-on review of Alibaba's Qwen (千问) app/PC update from Aug 7, which adds an agentic "办公助理" (office assistant), scheduled tasks, deep research, a skills marketplace, and support for the flagship Qwen3.8-MAX model; the test runs an entire campus-recruiting workflow end-to-end as a proxy for general agentic office work.
- The office-assistant agent autonomously decomposed a job-search goal, drove a browser across company career sites, university job boards and hiring platforms, and delivered a summary, structured table, and editable Excel (13 → 32 listings, 14 → 19 fields) with iterative refinements applied on top of prior state rather than regenerating it.
- User-defined "Skills" let the reviewer instantiate a domain persona (game-industry recruiting analyst) that performed a 10-dimension per-role analysis, split ranking into "role quality" vs. "currently applicable," and cited provenance per judgment (JD text, public info, or inference), marking unknowns "未披露" instead of hallucinating.
- Downstream steps covered resume-to-role matching, targeted resume rewriting (quantified achievements, formatting for recruiter scanning), and generation of a ~20k-character editable Word interview-prep doc with per-role chapters plus shared sections.
- Scheduled tasks run recurring agent jobs (e.g., daily 15:50 SOE/civil-service posting sweeps) with push notifications, moving continuous monitoring off the user's todo list; the accompanying deep-research report cites ~200 companies/~4,000 roles and 47% YoY growth in AI-related postings — vendor-adjacent figures the article does not independently verify.
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秋招信息战打不动？我们测了千问的新功能，让Agent全程陪跑
TL;DR - 智东西 hands-on review of Alibaba's Qwen (千问) app/PC update from Aug 7, which adds an agentic "办公助理" (office assistant), scheduled tasks, deep research, a skills marketplace, and support for the flagship Qwen3.8-MAX model; the test runs an entire campus-recruiting workflow end-to-end as a proxy for general agentic office work.
- The office-assistant agent autonomously decomposed a job-search goal, drove a browser across company career sites, university job boards and hiring platforms, and delivered a summary, structured table, and editable Excel (13 → 32 listings, 14 → 19 fields) with iterative refinements applied on top of prior state rather than regenerating it.
- User-defined "Skills" let the reviewer instantiate a domain persona (game-industry recruiting analyst) that performed a 10-dimension per-role analysis, split ranking into "role quality" vs. "currently applicable," and cited provenance per judgment (JD text, public info, or inference), marking unknowns "未披露" instead of hallucinating.
- Downstream steps covered resume-to-role matching, targeted resume rewriting (quantified achievements, formatting for recruiter scanning), and generation of a ~20k-character editable Word interview-prep doc with per-role chapters plus shared sections.
- Scheduled tasks run recurring agent jobs (e.g., daily 15:50 SOE/civil-service posting sweeps) with push notifications, moving continuous monitoring off the user's todo list; the accompanying deep-research report cites ~200 companies/~4,000 roles and 47% YoY growth in AI-related postings — vendor-adjacent figures the article does not independently verify.