Andrew "Ndr / Ender" Hensel

AI Systems · Orchestration · Evaluation · Governance

I design and evaluate AI systems with a focus on multi-agent orchestration, prompt systems, evaluation methodology, provenance, and governance.

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Current Focus

DGAF — Dynamic Governance Agentic Formation

Governance and orchestration research framework for constrained, evaluated, auditable agentic systems.

PDMAL — Phi-Driven Multi-Agent Lattice — is the associated experimental multi-agent topology research track.

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Areas of Work

• AI orchestration & multi-agent systems
• Prompt engineering & prompt evaluation
• AI evaluation & benchmark design
• Governance & provenance
• Agent control-plane architecture
• Runtime / deployment verification
• Spatial & acoustic intelligence
• Reproducible experimental infrastructure

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Featured Projects

Project	Focus
DGAF-Framework	AI governance, orchestration & evaluation
Driftwatch	Drift detection & evaluation
resumeapex-eval	Evaluation protocols & artifacts
agent-control-plane	Agent control-plane architecture
Acoustic-mesh	Acoustic / spatial intelligence
Meshsense	Runtime / deployment observation
aoga-dashboard	AI dashboard / API

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Portfolio Architecture

AI Systems
├── Orchestration
│   ├── DGAF
│   ├── PDMAL
│   └── Agent Control Plane
│
├── Evaluation
│   ├── Driftwatch
│   ├── ResumeApex
│   └── QA / benchmark systems
│
├── Governance
│   ├── Evidence
│   ├── Provenance
│   └── Runtime controls
│
└── Spatial AI
    ├── ASIS
    ├── Acoustic-Mesh
    └── MeshSense