Double automates job search with AI agent

While job seekers will welcome any tool that reduces the repetitive pain of job applications, automating the entire process risks status quo AI spam unless candidate matching is genuinely precise. Double's focus on quality-based match scores and leveraging warm networking introductions represents a smarter path forward than raw auto-applying.

• –**Match-Score Filtering:** Targets roles with a high fit rating to prevent low-quality spam applications.
• –**Automated Networking:** Attempts to build and maintain candidate networks and recruiter touchpoints automatically.
• –**Auto-Apply Controls:** Streamlines the application process but maintains user verification before submission to ensure accuracy.
• –**BLS Wage Benchmarking:** Integrates real government salary data adjusted for cost-of-living to help evaluate offers.