Disposable AI Cloud Labs: Test More, Spend Less
Using AI to spin up Docker containers and temporary cloud VMs, test ideas, keep the working recipe and destroy the infrastructure before it becomes another permanent bill.
Models, agents, local AI, automation, practical workflows and experiments built because the fastest way to understand a tool is usually to make something with it.
Using AI to spin up Docker containers and temporary cloud VMs, test ideas, keep the working recipe and destroy the infrastructure before it becomes another permanent bill.
How I prototype with AI, keep finished work in GitHub and publish experiments without turning every idea into a recurring subscription.
Frontier AI capability, browser security, Mars science, Internet operations and the control-plane questions around advanced cyber models.
A look back at an early role-based AI debate and moderation workflow from before agent systems became mainstream.
Why useful AI projects start with real problems rather than impressive demos.
A practical starting point for using AI to create useful things without needing a programming background first.
Long-context gains, agent workflows, patch discipline and AI-assisted research.
Agentic coding, browser security, open models and WebGPU.
A quick reference shelf for useful AI tooling and learning resources.
Moving from no-code experimentation into websites, VS Code and GitHub.