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ai-human-andalusia/README.md

AI Human Andalusia

Human-operated execution infrastructure for AI systems.

Status Architecture


About

I design and operate structured human execution layers for AI-driven systems.

My focus is the formal integration between autonomous agents and real-world environments — without simulating automation where none exists.

This is not an automation startup.
It is a transparent, protocol-defined, human-operated execution node with verifiable outputs and explicit operational constraints.


Architecture Status – v1.0

The Human Execution Node architecture has evolved into a structured integration-ready model including:

  • TaskRequest → TaskReceipt → TaskResult workflow
  • Public API specification
  • Machine-readable node metadata
  • Cryptographic identity binding (Ethereum personal_sign)
  • Explicit Trust Model (identity, execution, evidence layers)
  • Defined SLA (<24 business hour receipt confirmation)
  • Structured intake requirements
  • Commercial policy separation (integration testing vs physical execution)
  • Real-world and simulated case studies
  • Full integration flow examples

Status: Active and available for structured pilot integrations.


Human Execution Node – Andalusia

Reference implementation of a hybrid AI–human execution model operating in Andalusia, Spain.

Includes:

  • Structured task request schema
  • Manual acknowledgment protocol (ACK)
  • Machine-readable completion response
  • Evidence package (photos, video, PDF)
  • SHA-256 integrity manifest
  • Explicit human SLA model
  • Cryptographic identity layer
  • Trust model documentation

Reference Implementation

Digital-to-Physical Verification Case (v0.1)

AI → structured request → human physical execution → structured completion → verifiable evidence

Pre-Acquisition Risk Screening (v0.2)

AI-assisted anomaly detection → selective human verification → risk score adjustment

Repository: https://github.com/ai-human-andalusia/execution-node

Technical node: https://node.ai-human-services.com/


Architectural Principles

  • Human-in-the-loop by design
  • Explicit acceptance before scheduling
  • No false real-time claims
  • Verifiable evidence delivery
  • Protocol-driven integration
  • Transparency over automation
  • Accountability over abstraction

Areas of Interest

  • AI Agents
  • Hybrid AI–Human Systems
  • Real-World Verification Layers
  • Digital-to-Physical Interfaces
  • Structured Execution Protocols
  • PropTech Infrastructure
  • Agent Integration Architectures

Contact

Structured TaskRequest submissions: https://www.ai-human-services.com/

For technical collaboration or pilot integration discussions, feel free to connect.

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