Manual candidate screen
AI Candidate Screen Review
A concise manual screen of one AI/software candidate profile, role, or code sample link before you advance them.
Why it works
A cheap second pass before an expensive hire.
AI-native candidates can look strong on paper while still missing production discipline. This screen focuses the next interview on evidence, verification, and delivery risk.
Evidence quality
Does the submitted profile or code sample show production judgment, not just tool familiarity?
AI-native signal
Can the candidate supervise agentic workflows, validate outputs, and explain tradeoffs under ambiguity?
Delivery risk
What would make this hire risky for a real client system, and what should the next interview verify?
Review output
One candidate. One concise screen.
01
Role-fit read on the candidate, resume, profile, or code sample you submit
02
Three practical red flags to verify before the next interview
03
Three follow-up questions tailored to the role and evidence provided
04
A short hire, hold, or pass recommendation with the main caveat
Checkout collects the candidate context.
Add a candidate, role, or code sample URL during checkout, plus the main screening concern if you already know where you want a second opinion.