AI SYSTEMS BUILT

AI End to End Recruiter

Automates the core recruitment workflow from role intake to shortlist delivery, with approvals, logging, and clear control points.

Scope: intake + sourcing + screening + shortlistStack: Make.com + OpenAI + Sheets/AirtableStatus: build in progress

System Overview

A story-style walkthrough of how the system automates recruitment from intake to shortlist.

SYSTEM OVERVIEW
Job Intake & Role Structuring
Turn vague role requests into a structured brief the system can execute on.
Job intake and role structuring illustration
How it works
  • AI converts job ads, emails, notes, or CRM entries into a single structured role brief.
  • Missing inputs and conflicting signals are flagged before sourcing begins.
Time saved30–60 min per role
QualityConsistent briefs
RiskFewer false starts
1/5
Hover to pause
Design decisions I made

Built by running this system live, watching it break, and tightening it based on cost, latency, and recruiter feedback.

  • I added approval gates after early runs showed automation moving faster than recruiter comfort
  • I made every decision traceable so I could debug outcomes instead of guessing
  • I routed models by impact after testing where heavier models actually changed decisions
  • I treated token budgets as a hard constraint once costs started compounding at scale
Live-tested in PlacifyCost and latency constrainedPeer reviewed by recruitersIterated across runs