Execution-Boundary-Qwen35-9B-Q4_K_M

A Havenlon-focused Qwen3.5 9B model for reasoning about execution boundaries, execution control, Adversarial Completeness, evidence chains, governance separation, and AI Agent execution risk.

This model is intended as a general-purpose Havenlon domain model with a balance between reasoning quality and local deployment cost.

Focus

• Execution Control
• Physical and logical execution boundaries
• Adversarial Completeness
• Intent vs. Execution
• Approval vs. Execution
• Policy vs. Final Authority
• Independent veto
• Evidence chains
• Hardware-backed execution control
• AI Agent execution risk
• Fail-Secure system design

Run

ollama run Havenlon/Execution-Boundary-Qwen35-9B-Q4_K_M

Quantization

Q4_K_M

Core Idea

Modern software, APIs, automation systems, and AI Agents increasingly have the ability to trigger real-world actions.

Havenlon focuses on the boundary between:

software intent

and

real execution

The central question is:

When software can trigger execution, who or what decides whether the action should actually happen?

Havenlon treats execution as a separate security problem.

Authentication can prove identity.

Authorization can grant permission.

Policy can express constraints.

Approval can express consent.

But none of them alone proves that the final real-world action is still the action that was intended and approved.

The execution boundary exists to make that final determination.