Autonomous AI agent applied to 552 jobs in 2 weeks while sleeping
A developer built an OpenClaw agent that applied to 552 jobs in 2 weeks overnight. Unlike mass-application bots, it reads every job description and filters intelligently.
What the Agent Does
- JD analysis: LLM reads every single job description before applying
- Experience matching: skips "8+ years" jobs titled "Junior"
- Salary threshold: filters out below-minimum jobs
- Relevance scoring: only high matches get applications
How It Works
Runs overnight while the user sleeps. The 552 number matters because every application was a qualified match, not spray-and-pray. Posted on r/SideProject.
Results: 552 targeted applications in 2 weeks. Zero blind shots. All LLM-filtered for relevance.
The agent uses an LLM to read every single JD before applying. If a job mentions '8+ years experience' but is titled 'Junior,' it skips it. If the salary is below my threshold, it skips it. So the 552 applications are actually high-relevance matches, not blind shots.