Irv Cassio

The future of retail isn't systems running stores. It's people — scaled by AI.

About

Irv Cassio works at the intersection of digital experiences, retail tech, and AI in Cincinnati, Ohio — scaling in-store technology that stays reliable across large device fleets and many locations. Speaker on practical AI for retail and IT teams; author of The AI Enthusiast, a weekly AI briefing. Builds native Mac apps for working with local and cloud models, including Canopy Terminal, Crucible, and Emberpane. Spoke at DSE 2025.

The AI Enthusiast — Issues

Guides & Reference

  • Running Models Locally — From Your Laptop to the Enterprise — Getting started with AI models on hardware you control: Ollama first, picking between Qwen3.6-35B-A3B and Qwen3.8-27B and what each costs in GPU memory, Hugging Face and the GGUF and MLX formats, llama.cpp vs MLX vs vLLM, Open WebUI and AnythingLLM and LM Studio, LiteLLM for per-person keys and observability, pointing Claude Code and the Codex CLI at a self-hosted model, DeepSeek Harness and OpenClaw and Hermes, and a four-rung ladder to enterprise scale.
  • Windows → macOS — Migration Class — A 50-slide hands-on class for making a Mac your daily driver: Control Panel mapped to System Settings, installing apps, printing and Print to PDF, Mission Control and Spaces, the Unix half, backups and Migration Assistant.
  • Claude Code Skills Directory — Complete listing of installed Claude Code skills, plugins, and commands.
  • Local AI Models on Apple Silicon — Model comparison across Mac tiers, real RAM after macOS overhead, and tokens per second by memory bandwidth.