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mcphersonai/README.md

Blake McPherson

Founder of McPherson AI, building AI-powered operating systems for QSR managers and franchise operators.

With 16 years of experience in QSR operations, I’ve spent my career working inside high-volume environments where labor control, food cost discipline, execution consistency, and speed matter every day. That experience now drives my work in applied AI: building practical systems designed to solve real operational problems for restaurant teams.

Tech + Tools

  • Python
  • Docker
  • GitHub
  • AI Agents
  • OpenClaw
  • Claude
  • DigitalOcean
  • VPS Deployment
  • Tailscale
  • Fail2Ban
  • Automation Systems
  • CompTIA Tech+

What I’m Building

At McPherson AI, I develop operator-first tools focused on improving visibility, decision-making, and performance in restaurant operations. My work includes AI-assisted systems for labor monitoring, food cost diagnostics, daily operational oversight, and automation workflows that help managers identify problems earlier and act faster.

Current Focus

I am currently building and publishing practical AI tools for QSR operators, with an emphasis on systems that are useful in real business environments, not just in theory. My goal is to create technology that helps operators reduce waste, improve consistency, and strengthen store-level performance.

Selected Projects

  • QSR Labor Leak Auditor — An AI-assisted labor control tool built to help operators detect labor drift, clock padding, and scheduling inefficiencies before payroll closes.
  • QSR Daily Ops — A daily operations oversight tool designed to improve execution consistency, surface operational risks early, and support better store-level decision-making.
  • Food Cost Diagnostic — A food cost analysis tool focused on identifying margin pressure, waste patterns, and practical cost-control opportunities.

Background

My background in restaurant leadership and operations management shapes the way I approach technology: practical first, clear in purpose, and built for real-world use. I’m especially interested in the intersection of AI, operations, automation, and infrastructure.

Let’s Connect

I’m always open to connecting with operators, builders, and teams working in AI, automation, restaurant operations, and applied business systems.

Feel free to connect, explore the projects here on GitHub, or reach out if you’re interested in practical AI systems for real operational environments.

Pinned Loading

  1. QSR-Labor-Leak-Auditor QSR-Labor-Leak-Auditor Public

    AI-powered weekly labor cost auditor for QSR operators: tracks labor as a percentage of revenue, catches clock padding and scheduling drift, and flags mid-week risks before payroll closes.

  2. QSR-Daily-Ops-Monitor QSR-Daily-Ops-Monitor Public

    AI-powered daily ops system for QSR managers: shift planning, execution checklists, labor control, and real-time operational visibility.

  3. QSR-Food-Cost-Diagnostic QSR-Food-Cost-Diagnostic Public

    AI-powered food cost diagnostic for QSR operators: identifies waste, portion drift, inventory loss, and margin pressure before they become larger profitability problems.

  4. QSR-Ghost-Inventory-Hunter QSR-Ghost-Inventory-Hunter Public

    Helps restaurant operators find unaccounted inventory loss by comparing sales volume to theoretical recipe yields.