Testing Qwen APP: Automating the Job Hunting Workflow from Search to Interview Prep
智东西 · wechat · 2026-08-07
This article tests the newly updated features of Alibaba's Qwen APP, such as the Office Assistant, Scheduled Tasks, and Deep Research, applying them to a campus recruitment scenario for graduates.
Core Workflow:
- Info Gathering: Qwen autonomously uses the browser to search jobs, extract key data, and generate structured Excel files. It supports incremental updates when adding new filter criteria (e.g., city, salary) without breaking existing data.
- Priority Analysis: By creating a custom Skill, Qwen evaluates positions across multiple dimensions. It grants veto power to "current availability" and clearly cites the sources for its judgments, effectively mitigating hallucinations.
- Resume & Interview Prep: Qwen restructures resume experiences to highlight quantified achievements and generates a nearly 20,000-word interview preparation document tailored to specific matched roles.
- Automated Tracking: The Scheduled Task feature allows users to set daily automated searches for new job postings, completely automating the manual monitoring process.
Qwen demonstrated a strong understanding of the task context, with its proactive "extra steps" (like confirming analysis criteria or adding timeline reminders) providing more value than simple instruction execution.
Related event: Alibaba's Qwen App Upgrades into a Personal AI Agent(3 posts)→
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