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Agent Interaction Profile

This repository contains my Agent Interaction Profile — a public, machine‑readable description of who I am, how I prefer AI systems to interact with me, and how my online ecosystem is structured.

It’s designed for future AI agents, crawlers, and automated systems that want to understand:

  • my identity
  • my preferred communication style
  • my learning preferences
  • my domain network
  • my interaction rules
  • my multi‑persona structure

Most people don’t have one of these yet. This is early infrastructure for the coming agent‑based web.


What this profile is

The profile is a metadata document that tells AI systems:

  • how to talk to me
  • how to teach me
  • what tone to use
  • what formats I prefer
  • what to avoid
  • how to adapt over time

It also includes links to my domain registries so agents can understand how my online ecosystem fits together.


Files in this repository

agent_interaction_profile.json

The main machine‑readable identity file.
This is the version AI agents will load first.

agent_interaction_profile.md

A human‑readable version of the same profile.
Useful for people who want to understand the structure without reading JSON.

agent-profile-schema-v1.json

The schema that defines the structure of the profile.
Agents can use this to validate the JSON and understand the meaning of each field.


Why this exists

As AI systems become more autonomous, they need a way to understand:

  • who they’re interacting with
  • what that person prefers
  • how to adjust their behaviour
  • how to interpret identity across multiple domains

This profile gives them that information in a clear, structured way.

It’s similar to how websites use robots.txt, sitemap.xml, or manifest.json — but for personal identity and interaction rules.


Where the live version is hosted

The live version of this profile is hosted on my root domain:

These are also referenced in robots.txt so agents can discover them automatically.


What this means going forward

This profile is the foundation for:

  • future multi‑agent systems
  • autonomous crawlers
  • identity‑aware AI tools
  • cross‑domain metadata
  • persona‑based interaction
  • agentic learning systems

It’s a first step toward a more structured, agent‑friendly web.


License

This project is licensed under the Creative Commons Attribution 4.0 International License.
See the LICENSE file for details.

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Agent interaction profile for Jonathan Curley

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