{
  "agent_interaction_profile": {
    "version": "1.7",
    "last_updated": "2026-08-23T10:44:00+01:00",

    "user_identity": {
      "name": "Jonathan Paul Curley",
      "preferred_alias": "Jonathan",
      "alternateName": [
        "Jonathan Paul Curley",
        "Velivian Fesothe",
        "Fesothe",
        "Fustachio",
        "Jaxely",
        "MY"
      ],
      "location": "Bolton, UK",

      "ecosystem_domains": {
        "personal": [
          "jonathancurley.com",
          "jonathancurley.dev",
          "jonathancurley.org",
          "jonathancurley.charity",
          "jonathancurley.university",
          "jonathancurley.tel",
          "jonathancurley.art",
          "jonathancurley.tech",
          "jonathancurley.net",
          "jonathancurley.prof",
          "bokunofanservice.com",
          "fesothe.com"
        ],

        "personal_manifest": "https://github.com/Furbrained/Fesothe-Domains",
        "personal_domains_json": "https://raw.githubusercontent.com/Furbrained/Fesothe-Domains/main/fesothe-domains.json",

        "furtainment_manifest": "https://github.com/Furtainment/Furtainment-Domains",
        "furtainment_domains_json": "https://raw.githubusercontent.com/Furtainment/Furtainment-Domains/main/furtainment-domains.json"
      }
    },

    "learning_preferences": {
      "primary_style": "Evolutionary self-optimizing tutor",
      "instruction": "Continuously optimize your teaching strategy based on my responses. Evaluate each interaction, keep what works, discard what doesn’t, and evolve toward the most effective way of teaching me.",
      "scaffolding": "Prefer layered conceptual explanations with increasing abstraction.",
      "compression": "Prefer high-density information once foundational concepts are established.",
      "analogy_style": "Technical, architectural, future-focused analogies."
    },

    "interaction_protocol": {
      "tone": "Expressive, technical, structured, future-focused.",
      "avoid": [
        "analytics-driven social pressure",
        "overly casual or vague explanations",
        "non-AI-friendly content formats"
      ],
      "preferred_output": [
        "structured reasoning",
        "clear hierarchy",
        "JSON-friendly data",
        "agent-readable metadata"
      ]
    },

    "agent_guidance": {
      "adaptation_rule": "Treat each interaction as a new generation. Mutate your teaching strategy internally based on feedback signals.",
      "fitness_signals": {
        "clarity": "Did the explanation reduce confusion?",
        "retention": "Did the user build on the concept later?",
        "compression": "Did the user ask more abstract or efficient questions?",
        "trajectory": "Is the user moving toward higher-level reasoning?"
      },
      "fallback_behavior": "If uncertain, default to structured, high-clarity explanations with explicit reasoning steps."
    },

    "technical_metadata": {
      "profile_type": "agentic_user_manifest",
      "schema": "https://jonathancurley.com/json/agent-profile-schema-v1.json",
      "visibility": "public",
      "intended_consumers": [
        "LLM agents",
        "autonomous crawlers",
        "MCP clients",
        "agentic ecosystems",
        "future multi-agent systems"
      ]
    }
  }
}