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Thomas Thelliez Field Notes

Physical AI, Robotics
and Product Engineering

Field-tested notes on robotics safety, ROS 2, embedded AI, AI agents, SaaS architecture and the practical systems that connect software to real-world outcomes.

Physical AI Robotics Safety SaaS Engineering

AI Incident Response: What Changes When the System Is Probabilistic

Designing a Safe Tool Registry for Enterprise AI Agents

Human-in-the-Loop Approval Patterns for High-Risk AI Workflows

What VLA Models Still Cannot Do Safely in Robotics

How to Threat Model Enterprise AI Agents

AI Governance Architecture: Identity, Trust, Permission, and Ownership

OpenClaw on Jetson: Memory, Dashboard, MCP, and Secure Local AI Agents

Create Your First OpenClaw Skill to Control a Robot or Sensor

How to Install NemoClaw on NVIDIA Jetson Orin Nano Super

How I Built an AI Agent Architecture - A Practical Multi-Agent LLM for Newsletter Generation

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Robotics safety, Physical AI, local AI on edge devices, software architecture, AI agents, product engineering and SEO-led SaaS growth.

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© 2026 Thomas THELLIEZ
Technical blog about Physical AI, robotics, cyber-physical systems, AI agents, SaaS architecture and product engineering.
LinkedIn: https://www.linkedin.com/in/thelliezthomas/
Website: https://thomasthelliez.com