Tag: Control Tower

  • 2024 Year in Review: From Scripts to Agents

    2024 Year in Review: AI Ate My To-Do List
    Published: December 25, 2024

    90% cost savings. 4x project velocity. Zero runaway cloud bills. 2024 was the year AI stopped being an experiment and became my operating system. Control Tower orchestrated it; SentinelForge governed it; my 25+ years of cybersecurity instincts kept it honest.

    The Numbers Don’t Lie

    Metric 2023 2024 Gain
    Code hours/week 35h 7h 80% ↓
    Token cost/month £480 £48 90% ↓
    GitHub commits 120 780 6.5x ↑
    Client projects delivered 8 24 3x ↑
    Security incidents (clients) 3 0 100% ↓

    What Worked

    • Local-first LLM routing via Proxmox + Ollama eliminated token waste
    • CrewAI agent crews replaced manual scripting for repetitive security tasks
    • GitHub gates kept AI honest—every output reviewed before deployment

    What I’d Do Differently

    1. Start SentinelForge 6 months earlier—governance should precede agents, not follow them.
    2. Document the style guide earlier for consistent AI output quality.
    3. Automate client reporting from day one, not as an afterthought.

    With the EU AI Act on the horizon and CrewAI maturing fast, 2025 looked even bigger.

    Want 2024-style results in your business? Book a Secure AI QuickScan.

    Next: whoamiAI—what 500 AI sessions taught me about myself (Mar 2025).

  • Control Tower Blueprint: Orchestrating Multi-AI Chaos

    Control Tower Blueprint: From AI Chaos to Factory
    Published: July 20, 2024 (retrospective)

    By mid-2024 I was juggling Claude, Copilot, Perplexity, and local Ollama instances simultaneously. Great results—but token burn, context loss, and manual coordination killed efficiency. Control Tower v1.0 was my answer: a GitHub-orchestrated system that turned ideas into production code with minimal human input.

    The Workflow

    Idea → GitHub Issue → Claude researches
         → Copilot codes → I approve PR → deployed
    

    Key design decisions:
    Priority + budget fields on every issue halt overspend automatically
    Human gate on every PR—AI proposes, I approve
    Nightly decision cycle—agents run overnight, I review at breakfast

    The Numbers

    Metric Before Control Tower After Gain
    Code hours/week 20h 4h 80% reduction
    Token cost/week £120 £12 90% reduction
    Projects shipped/month 1 4 4x
    GitHub commits/month 45 200+ 4.4x

    What Made It Work

    1. Local-first routing: Proxmox + Ollama handled 70% of queries free.
    2. Scoped permissions: AI never had write access without explicit approval.
    3. Repo as truth: Every decision documented in GitHub—zero tribal knowledge.

    Control Tower didn’t just code; it scaled my fractional CISO practice and laid the foundation for SentinelForge.

    Want to automate your AI workflows? Book a Secure AI QuickScan.

    Next: CrewAI launch transforms agent security (Oct 2024).