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Notes from the Tenaxis team.

Engineering deep-dives on agent orchestration, governance design, and the operational realities of running AI in production.

A person holding a tablet with a glowing phygital network of connected icons above it
Perspective27 May 2026· 6 min read

Phygital: Where Digital Agents Meet Physical Action

The line between software agents and the machines on a factory floor is getting thin. When a digital decision moves a physical thing, both sides need to run under one set of rules.

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Flat illustration of an industrial physical AI system with a drone, wind turbine, robotic arm, conveyor, sensors and an analytics dashboard
Physical AI27 May 2026· 6 min read

An Operating System for Physical AI

Physical AI does not just compute an answer, it acts on one. Running robots, drones, and machines safely needs the same things an OS gives software: scheduling, isolation, policy, and a record.

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A hand touching a translucent screen showing four runtime signals: agent action, tool call, policy check, and human review
Engineering26 May 2026· 5 min read

Runtime Observability for Multi-Stage Agents

One agent is easy to watch. A chain of agents calling tools and each other is a black box until something breaks. Here is what you actually need to see at runtime.

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Isometric illustration of many AI agents connected to a central orchestration chip
Perspective25 May 2026· 5 min read

Enterprise Agentic AI Orchestration

Running many AI agents inside a regulated enterprise is an orchestration problem before it is a model problem. Here is what that actually takes.

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