The problem
Job applications are more demanding than ever. Long JDs, narrow requirements, and role-specific screening mean a one-size-fits-all resume no longer works — you have to tailor for every role.
On top of that:
- Easy Apply and ATS forms add assessment questions that eat time
- Some roles need cover letters, portfolios, or extra documents
- A single application can easily take 1–2 hours — with no guarantee you pass the first screen
That friction adds up fast when you're applying at volume.
What I tried
I hit the same wall — so I used Cursor's Agent to turn my manual loop into a semi-automated workspace.
The outcome: search, evaluate, tailor, and prep ~10 applications in about an hour — instead of spending most of that time on one role.
What made the difference:
- Multi-tasking — parallel resume tailoring while the agent handles discovery
- Ask + project workspace — one repo for base resume, JDs, fit analysis, PDFs, and logs
- In-IDE browser automation — the agent navigates LinkedIn; I get summaries from many job pages in one view and decide where to invest effort before I apply
I still click Submit — the agent stops at the checkpoint. That keeps quality and judgment in my hands while automation does the repetitive prep.
How it's set up
Everything is documented in a small project:
-
RUNBOOK.md— daily job-application batch (discover → JD → tailor → PDF → apply prep) -
/multitask— tailor multiple resumes in parallel instead of one-by-one -
Simple commands I use in chat:
Run today's job application batch per RUNBOOK.md-
applied <slug>orskipped <slug>(log what I actually submitted) -
continue batch(pick up where I left off)
Instead of a strict sequential loop, I can run tailoring in parallel with /multitask while discovery and apply-prep move on other tracks.
Takeaway
This isn't "auto-apply and forget." It's multi-tasking the boring parts — JD capture, fit check, resume tailoring, form pre-fill — so I spend my hour on decisions, not copy-paste.
If you're job hunting in 2026, a runbook + agent + browser MCP + one workspace is a practical way to scale applications without burning out.

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