Went from 2 tailored applications per hour to 20 with AI automation

I was spending way too much time tailoring job applications. Each one took 30-45 minutes to do properly. At that rate, applying to 10 jobs was a full day of work.

So I built a system to automate the tedious parts.

What it does

1. Pulls job listings automatically based on my target criteria
2. AI evaluates each job against my background – filters out obvious mismatches
3. For good fits, AI rewrites my application to match the job posting language
4. Finds the hiring manager email instead of going through application portals
5. Creates personalized outreach drafts ready for my review

The key insight

Most applications get rejected by automated screening systems before a human sees them. These systems scan for keyword matches. If your application says "built automation workflows" but the job posting says "developed automated processes," you might get filtered out even though it is the same thing.

The system rewrites my application to use the exact language from each job posting. Same experience, different presentation.

Results

What used to take 30 minutes now takes about 90 seconds of review per application. Quality is actually higher because each one is specifically tailored.

The broader lesson

This pattern applies to a lot of business processes. Anywhere you have repetitive text transformation with a predictable structure, AI can handle the heavy lifting while you maintain quality control on the output.

Anyone else finding similar wins with AI automation in their business?