The Problem and the Fix
Without a skill
- You have 87 resumes in your inbox and the hiring manager needs a shortlist by tomorrow
- After reading 30 resumes your attention drifts and qualified candidates slip through
- Every recruiter on the team applies different criteria, so shortlists are inconsistent
With aidowith.me
- 100 resumes scored and ranked in 20 minutes against consistent, documented criteria
- 2-line candidate summaries with strengths and interview probes for every shortlisted resume
- Bias-reduction techniques built into the screening prompts
Who Builds This With AI
HR & People Ops
Job descriptions, interview kits, onboarding docs built fast.
Managers & Leads
Reports, presentations, and team comms handled faster.
Founders
Move fast on pitches, pages, research. AI as your first hire.
How It Works
Define your screening criteria
Set must-have qualifications, nice-to-haves, and red flags for the role. The route helps you structure criteria that are specific and measurable.
Build the scoring prompts
Create prompts that evaluate each resume against your criteria and return a score, summary, and interview probes. Test with 5 sample resumes.
Process your full stack
Run the scoring system on all resumes. Review the ranked shortlist, check flagged items, and send your recommendations to the hiring manager.
Build your AI resume screening system
10 steps. About 90 minutes to set up. Screen 100 resumes in 20 minutes after that.
Start This Skill →What You Walk Away With
Define your screening criteria
Build the scoring prompts
Process your full stack
Bias-reduction techniques built into the screening prompts
"I screened 120 resumes in one sitting and the shortlist was better than what I'd have picked manually. The hiring manager was impressed with how fast I turned it around."- Talent acquisition specialist, mid-size tech company
Questions
When you define clear criteria, AI matches resumes against them with high consistency. It's not making subjective judgments. It's checking whether a resume contains the qualifications you specified. The route includes a calibration step where you test the system on 5 resumes you've already evaluated to verify alignment before processing the full stack.
Any screening system can have bias if the criteria themselves carry bias. The route includes a specific step where you audit your criteria for demographic proxies (school names, locations, specific company names) and replace them with measurable, skill-based requirements instead. This approach produces more equitable results than most manual screening processes do.
You can paste the text content from a PDF into ChatGPT or Claude. For batch processing, the route shows you how to use a simple copy-paste workflow or connect a PDF text extraction tool. Most applicant tracking systems also export resume text that you can feed directly into the screening prompts.