I built a working AI

I built a working AI recruitment screening demo that shows how a hiring team can use AI without handing over the final decision.

The flow is simple:

A job spec goes in. Candidate profiles are screened against a weighted guideline. Each candidate gets a score, band, evidence quotes, and risk flags. Then everything stops at a human review queue.

No auto-rejects. No silent ATS updates. No “AI decided this person is out”.

The system includes:

Candidate pipeline table

Evidence-based screening view

Human review queue

Approve / reject / snooze decisions

ATS deployment plan

Audit log for compliance

n8n workflow export with a human-in-the-loop Wait node

Optional live Claude screening path

The important part is the architecture: deterministic logic owns the workflow, gating, state and audit trail. The AI helps with judgement and screening, but the human owns the final decision.

Built with Next.js, TypeScript, Claude API, n8n workflow architecture, and a gated ATS sync pattern.

This is the kind of system I like building: AI that makes the work faster, but still respects the places where people need control.

Shorter Version I built an AI recruitment screening pipeline with a human approval gate.

It screens candidates against a rubric, shows evidence quotes and risk flags, then routes every candidate into a review queue before anything reaches the ATS.

No auto-rejects. No silent updates. Human-in-the-loop by design.

Built with Next.js, TypeScript, Claude API and n8n workflow architecture.