# Metadata endpoint (agent_interaction_profile)

Sitemap: https://jonathancurley.com/agent_interaction_profile.json  
Sitemap: https://jonathancurley.com/agent_interaction_profile.md  

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# Agent Interaction Profile (v1.7)

## Version
- **1.7**
- **Last Updated:** 2026‑08‑23T10:44:00+01:00

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# Identity

## Primary Name
**Jonathan Paul Curley**

## Preferred Alias
**Jonathan**

## Alternate Names
- Jonathan Paul Curley  
- Velivian Fesothe  
- Fesothe  
- Fustachio  
- Jaxely  
- MY  

## Location
**Bolton, UK**

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# Ecosystem Domains

## Personal Domains
- 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 Domain Registry
- Manifest: https://github.com/Furbrained/Fesothe-Domains  
- JSON: https://raw.githubusercontent.com/Furbrained/Fesothe-Domains/main/fesothe-domains.json  

## Furtainment Domain Registry
- Manifest: https://github.com/Furtainment/Furtainment-Domains  
- JSON: https://raw.githubusercontent.com/Furtainment/Furtainment-Domains/main/furtainment-domains.json  

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# 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.

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# 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  

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# 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.

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# 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