{
  "version": "2.0",
  "generated": "2026-05-10T00:00:00Z",
  "case_studies": [
    {
      "id": "cisco-fmc-mcp",
      "category": "AI/MCP security integration",
      "title": "Cisco FMC MCP Server",
      "summary": "Built a read-only MCP server that lets AI agents query Cisco Firepower Management Center without handing them unsafe write paths.",
      "value": "Shows how to connect LLM workflows to real security tooling with bounded permissions, token lifecycle handling, pagination, rate limiting, tests, typing, and linting.",
      "proof": "Public GitHub repository; designed around Cisco FMC API realities like short-lived tokens and refresh limits.",
      "links": [
        {
          "label": "GitHub",
          "url": "https://github.com/leonbreukelman/fmc-mcp"
        }
      ]
    },
    {
      "id": "cloud-control-plane-operating-judgment",
      "category": "Cloud systems under operating constraints",
      "title": "Cloud control-plane work under real operating constraints",
      "summary": "Worked close to large production cloud environments, support paths, migrations, managed-service behavior, and customer-facing operating constraints.",
      "value": "Useful for reviews where IAM, networking, logging, quotas, managed-service assumptions, or rollback paths matter more than the architecture diagram.",
      "proof": "Practical work across VPCs, load balancing, DNS, private connectivity, streaming/search services, operational reviews, incident preparation, and migration planning."
    },
    {
      "id": "kenya-pop-deployment",
      "category": "Network infrastructure under constraint",
      "title": "Kenya Point-of-Presence deployment",
      "summary": "Pre-simulated a redundant Point of Presence from Cape Town using GNS3 and VMware, then deployed it in a mobile-network data center in 72 hours with no prior physical access.",
      "value": "Demonstrates how Leon reduces risk before execution: model the system, test the assumptions, then ship under real constraints.",
      "proof": "Redundant PoP delivered in three days after remote simulation."
    },
    {
      "id": "profile-as-code",
      "category": "AI-first professional presence",
      "title": "leonbreukelman.engineer as profile-as-code",
      "summary": "Built this site so humans and agents read the same underlying public facts through HTML, JSON, llms.txt, well-known metadata, and MCP.",
      "value": "Shows the AI-first component directly: machine-readable identity, representation instructions, and agent-accessible context without burying the human visitor in theory.",
      "proof": "Public endpoints include /api/v1/profile.json, /api/v1/offers.json, /api/v1/case_studies.json, /llms.txt, /.well-known/agent-card.json, and /mcp/."
    }
  ]
}