Personal Productivity & AI-Augmented Workr/ClaudeAI

I built an AI job search system with Claude Code that scored 740+ offers and landed me a job. Just open sourced it.

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The system is designed to help you apply only where there's a real match. It scores fit so you focus on high-quality applications instead of wasting everyone's time.

Key takeaways

  • Individual contributor built sophisticated AI job search system using Claude Code that evaluated 740+ listings and resulted in Head of Applied AI role - demonstrates practical AI coding tool capabilities beyond simple automation
  • System emphasizes quality over quantity with 10-dimension fit scoring to prevent spray-and-pray applications - contrarian approach to typical job search automation that prioritizes volume
  • Open-sourced complete system (MIT license) with 14 skill modes including resume tailoring, company scanning, interview prep, and ATS optimization - shows emerging pattern of professionals building and sharing custom AI workflow tools
  • Architecture uses Claude Code with CLAUDE.md skill configuration rather than API wrapper approach - signals shift toward more sophisticated AI coding tool implementations with custom instructions
  • Includes terminal-based dashboard (Go/Bubble Tea) and automated PDF generation (Playwright) - demonstrates integration of AI with traditional dev tools for end-to-end workflow automation

Why this matters for operators: Demonstrates practical AI coding tool implementation; shows how professionals are building custom AI workflows for personal productivity

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  • HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
  • HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
  • Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
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This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.