Life Admin & HomeDone with custom-built or unnamed agent Oct 9, 2026
Screen job listings daily against resume and salary data
A laid-off job seeker runs an agent each morning that reviews LinkedIn, cross-references levels.fyi leveling and salary, and assesses fit to their resume.
- What They Did
- The commenter, laid off and job hunting, runs an agent every morning that reviews LinkedIn listings. It cross-references levels.fyi for each role's leveling and salary, then assesses fit against their resume. They apply their own judgement to the shortlist before deciding what to pursue.
- How It Went
- The agent surfaces 5-10 possible positions a day, which human review cuts to 0-2, about 0.5 on average. Roughly 10% of applications get a reply, and the interview pipeline is full.
- Worth Knowing
- The agent only narrows the field; the author's own judgement still removes most candidates, and the targeted approach, not volume, is credited for the response rate.
Try it yourself with custom-built or unnamed agent
Each morning, open my [LinkedIn job search or saved search link] and review new listings posted in the last 24 hours for [target role and location]. For each one, check the level and typical pay for that company on levels.fyi, compare the role to my resume at [resume link or pasted text], and rate fit from 1 to 5 with a one-line reason. Finish with a ranked shortlist of the top 5, flag any under [minimum salary], and do not apply to or message anyone.
Do this with a skill.
These SkillShop playbooks do this exact job.