The Model Should Be Replaceable. The Agent Should Persist.
Why AI agents should persist even as the underlying models change.

I’m Ali, an engineer and researcher working across AI, computer vision, robotics, and systems architecture. I build intelligent systems that connect perception, intelligence, and action—from research and prototyping to reliable deployment in the field.
Here, I share ideas and lessons about Physical AI, technical leadership, and turning emerging technologies into practical solutions.
Why AI agents should persist even as the underlying models change.
When multiple AI agents collaborate, separate logs cannot explain the complete workflow. Effective observability requires a shared trace that follows each request across agents, tools, and handoffs.

A practical look at how AI, computer vision, and deterministic geometry can work together to turn messy real-world perception into reliable measurements a machine can actually use.
Teaching Steel Industry Equipment to See
and 1 other contributorMeasuring Reflective Surfaces with Stereo Vision
and 1 other contributorA stereo-vision system for measuring robot pose and correcting positioning errors online through visual feedback.
