Freelancers using HubSpot in LondonFreelancers using HubSpot in London
Email Marketing Expert Figma Email Design
New to Contra
Email Marketing Expert Figma Email Design
Iโ€™m a UK-based SaaS Go-To-Market Advisor
Iโ€™m a UK-based SaaS Go-To-Market Advisor
Senior Content Strategist & Content Architect | B2B
New to Contra
Senior Content Strategist & Content Architect | B2B
Gold Tier Bubble I Framer Enterprise I Launch Quicker
$1k+
Earned
2x
Hired
5.0
Rating
30
Followers
Gold Tier Bubble I Framer Enterprise I Launch Quicker
Shopify Partner, Framer, Media Buying, Web Dev. & Kajabi
$1k+
Earned
3x
Hired
5.0
Rating
35
Followers
Shopify Partner, Framer, Media Buying, Web Dev. & Kajabi
AI Automation & Web Design | n8n ยท Vapi ยท Claude API
11
Followers
AI Automation & Web Design | n8n ยท Vapi ยท Claude API
Cover image for 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 โ€œAI decided this person is outโ€. 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.
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