AI Collab Score: 7 / 3

How I used Ubuntu, OpenCV, Ollama, Gemma 3 Vision, and Python to build a local vision pipeline with memory, event filtering, and stability logic.

Most AI vision demos stop at image description.

A webcam captures an image, a vision model analyzes it, and the system prints something like: “A person is sitting at a desk.”

That is useful as a proof of concept, but it does not behave like an agent.

A real vision agent needs more than perception. It needs state. It needs memory. It needs event logic. It needs to know what changed, whether the change matters, and whether the change is stable enough to trust.

That became the goal of this lab.

I built a local AI Vision Agent that starts with a live webcam feed and evolves into a small event-driven vision system. It runs locally on Ubuntu using Python, OpenCV, Ollama, and Gemma 3 Vision.

By the current version, the agent can confirm events like:

• person entered
• person left
• phone appeared
• mug disappeared
• laptop appeared

​The important part is not just that the model can describe what it sees. The important part is the system built around the model that turns raw vision output into confirmed events.

AI Collab Score: 9 / 2 ​

When it comes to scaling tenant-ready automation on VMware Cloud Foundation, every infrastructure team hits the same wall: onboarding new tenants is either too manual or too brittle. We built the Tenant Onboarding Workflow Builder to change that.

This drag-and-drop simulation tool lets you rapidly prototype and export tenant onboarding workflows—no PowerCLI experience or YAML syntax memorization required. Whether you're provisioning a namespace, configuring NSX segments, or triggering an ArgoCD sync, this tool helps you visualize the automation flow and export it into formats that plug directly into your GitOps pipelines.

This tool ties directly into the topics we’ve covered in the VCF Automation Blog Series, especially around:

• GitOps-based lifecycle automation
• Role-based access control for multitenant environments
• DevSecOps-ready onboarding blueprints for your platform team

​Let’s walk through how it works—and how it can help you simplify tenant activation, reduce manual error, and enforce governance from day one.

VCF Automation Series:

• This Is the Missing Piece in Your VCF 9.0 Automation Strategy: Red Hat Ansible
• STOP Deploying VCF Wrong: Unlocking Tenant-Ready Workflows with GitOps & CI/CD
• STOP! Your VCF Automation Is a Security Time Bomb (Unless You Do THIS)

AI Collab Score: 10 / 2 ​

If you're running VMware Cloud Foundation without GitOps and CI/CD integration, you're not operating a cloud platform — you're operating a cluster.

VCF 9.0 Automation gives us a powerful foundation for multi-tenant self-service infrastructure. But to operate like a true internal platform-as-a-service, we need:

• Version control of blueprints and workflows
• Consistent deployment across environments
• Integrated approval and testing processes

This is where GitOps and CI/CD pipelines come in. By storing VCF Automation blueprints, Aria Orchestrator workflows, and even Ansible playbooks in Git—and connecting them to your CI/CD tooling—you bring repeatability, collaboration, and traceability into the heart of your private cloud.

For those who prefer a high-level walkthrough, I’ve created a short video explaining the operating model shift outlined in this article.
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Watch the overview below, or continue reading for the detailed architecture discussion.

VMware vSphere 8 is the latest edition to the VMware vSphere family. As you already know, by consolidating physical servers and workloads onto a smaller number of physical hosts, vSphere can help reduce hardware costs, increase efficiency, and improve agility. In this blog, I'll cover the prerequisites for installing vSphere 8, discuss some of the benefits of using this platform, and walk through a high-level install. This is intended for beginners to VMware.