How Far Can You Shrink an AI Assistant?

This is a practical experiment in running OpenClaw-style AI assistants on low-power hardware. I compare multiple deployment targets based on: - yearly power consumption - hardware cost - CPU and RAM capabilities Boards tested include Raspberry Pi 5 (in previous video), Radxa Cubie A7Z, and Luckfox Pico Max running OG OpenClaw and also the lightweight implementations like ZeroClaw and PicoClaw. Board links: https://s.click.aliexpress.com/e/_Ewn5JU4 Radxa Cubie A7Z https://s.click.aliexpress.com/e/_Ex3MtpA Luckfox Pico Pro/Max https://s.click.aliexpress.com/e/_EG6iTve Raspberry Pi 5 https://s.click.aliexpress.com/e/_EvMDbYy Sources and useful links: https://www.luckfox.com/Luckfox-Pico/EN-Luckfox-Pico-Pro https://www.linuxlinks.com/radxa-cubie-a7z-single-board-computer-running-linux-power-consumption https://github.com/NickAlilovic/build/releases https://github.com/sipeed/picoclaw https://radxa.com/products/cubie/a7z/ https://github.com/zeroclaw-labs/zeroclaw