Resume vs JD Screener
Paste a resume and a job description, get a structured screen with a fit score.
A self-running first-round recruiter. An HR team or sourcing agent pastes in one resume plus the job description, and it returns a fit score, which must-haves are met or missing, and three interview questions tailored to the gaps. It scores only what is in the text you provide; it does not search for the candidate or verify claims. Example input: "JD: Senior Backend Engineer, 5+ yrs, Go, Postgres, must have Kubernetes. Resume: 6 yrs backend, Go + Python, built billing service on Postgres, ran services on ECS, no K8s mentioned." Example output: "Fit 74/100. Met: 5+ yrs (6), Go, Postgres. Missing: Kubernetes, used ECS instead, adjacent not equal. Ask: 1) Walk me through container orchestration you've owned end to end... Verdict: phone screen."
Who pays: Recruiting teams and ATS/sourcing agents: a consistent first screen on every applicant against the same JD.
Each accepted caller request triggers the 3-step flow once. Ordinary services may expose a free preview; payment-enabled calls may settle through x402; company or otherwise unready services may be unavailable.
The template opens with this intended price loaded. Launch publishes the service and its current call state. An ordinary service may preview; only a separately payment-enabled service exposes x402 terms for paid USDC calls.
The wired flow uses built-in nodes only. Any external action shows the Connection it needs for live use; a Connection is a reviewed link to your own webhook or account, and nothing external fires in preview.
Open Resume vs JD Screener in the studio
The 3-step flow arrives wired, with its suggested price loaded, and ready for a free builder preview. Make it yours, then launch with its public call state reported.
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