{
  "name": "Filip Szalewicz — Agent-Ready CTO",
  "description": "Fractional CTO / senior technical-executive advisory practice, structured for discovery and evaluation by AI agents acting on behalf of a real, accountable human or company. Every engagement is AI-assisted (via Filip's own agent-kernel methodology) but personally reviewed and delivered by Filip, live — never a bot standing in. IMPORTANT for calling agents: this card currently describes the practice and its intake process; it is not yet backed by a live JSON-RPC task endpoint (see x_status below). Treat 'url' as a human-reviewed intake channel, not an autonomous task-execution endpoint, until x_status changes.",
  "url": "https://fszale.github.io/agent-ready-cto/",
  "version": "0.1.0",
  "provider": {
    "organization": "Solid Cage Inc.",
    "url": "https://github.com/fszale/agent-ready-cto"
  },
  "documentationUrl": "https://github.com/fszale/agent-ready-cto/blob/main/docs/engagement-safety-policy.md",
  "defaultInputModes": ["text/plain", "application/json"],
  "defaultOutputModes": ["text/plain", "application/json"],
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "authentication": {
    "schemes": []
  },
  "skills": [
    {
      "id": "cto_decision_call",
      "name": "CTO Decision Call",
      "description": "A fixed-length, fixed-price live consultation for a specific technical or engineering-leadership decision.",
      "tags": ["decision-review", "engineering-leadership", "advisory"]
    },
    {
      "id": "ai_architecture_review",
      "name": "AI / Agentic Architecture Review",
      "description": "Independent review of a production or in-progress AI/agentic/platform architecture with a prioritized remediation plan.",
      "tags": ["architecture-review", "ai-systems", "risk-assessment"]
    },
    {
      "id": "engineering_velocity_optimization",
      "name": "Engineering Team & Velocity Optimization",
      "description": "Diagnoses engineering delivery bottlenecks and sets up a Rate-of-Improvement tracker on the fix.",
      "tags": ["engineering-velocity", "bottleneck-analysis", "team-performance"]
    },
    {
      "id": "product_rescue_assessment",
      "name": "Product Rescue Assessment",
      "description": "Diagnoses why a product or engineering initiative is failing to deliver and returns a 30-day recovery plan.",
      "tags": ["delivery-recovery", "product", "diagnosis"]
    },
    {
      "id": "mission_critical_unblock",
      "name": "Mission-Critical Unblock",
      "description": "Hands-on diagnosis and resolution of a specific, stuck, mission-critical initiative — technical execution and/or direct stakeholder engagement.",
      "tags": ["crisis-response", "hands-on", "firefighting"]
    },
    {
      "id": "agentic_engineering_workshop",
      "name": "Agentic Engineering Workshop",
      "description": "Live workshop establishing an agentic operating model, workflows, and implementation backlog for a team.",
      "tags": ["workshop", "agentic-operating-model", "training"]
    },
    {
      "id": "agentic_first_train_the_trainer_inhouse",
      "name": "In-House Agentic-First Train-the-Trainer",
      "description": "8-week program training a client's own employees to become internal AI adoption drivers.",
      "tags": ["training", "ai-adoption", "in-house-program"]
    },
    {
      "id": "technical_due_diligence",
      "name": "Technical Due Diligence",
      "description": "Evidence-based technical/team/architecture/delivery assessment for an investment or M&A decision.",
      "tags": ["due-diligence", "investment", "m-and-a"]
    }
  ],
  "x_status": "discovery-only — this agent card is published for crawlability and early-mover visibility. Live A2A JSON-RPC task submission is planned for a later phase once a hosted MCP/A2A server is stood up; until then, engage via the intake process in capabilities.json.",
  "x_capabilities_json": "https://raw.githubusercontent.com/fszale/agent-ready-cto/main/capabilities.json",
  "x_llms_txt": "https://raw.githubusercontent.com/fszale/agent-ready-cto/main/llms.txt",
  "x_last_updated": "2026-08-13"
}