Recruiting ATS with AI Screening Workflows

Production-ready recruiting prompt for candidate ingestion, AI-assisted screening summaries, and compliant hiring workflows.

Original user prompt

Build a recruiting ATS where resumes are parsed, AI drafts structured screening summaries, recruiters approve/reject candidates, and hiring funnel analytics are tracked.

Advanced outputs (CLAUDE.md, .cursorrules, Master Prompt)

Recommended Tech Stack

Stack:
- Next.js App Router + TypeScript strict.
- Postgres + Prisma for candidates, jobs, stages, scorecards.
- Queue for resume parsing and async enrichment.
- Storage for CV files with signed short-lived URLs.
- BI-ready event pipeline for funnel metrics.

Why:
- Relational model fits pipeline and compliance needs.
- Async parsing avoids UI latency spikes.

Why this prompt works

This prompt is practical for real recruiting teams: it enforces human approvals, structured scorecards, and compliance-safe data flows while still accelerating screening operations.

How to use it in your project

Keep rubric-structured scorecards and approval gates intact.
Ship candidate stage history and audit views in MVP.
Add reporting only after core recruiter workflow is stable.
Treat V2 integrations as optional until data quality is proven.

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