I have a small proof-of-concept script that was generated by AI, and I need a basic test instance where I can run it safely, observe its behaviour, and gather logs. Scope (keep it lean for now): • Provision a clean environment—local folder, lightweight VM, or quick cloud sandbox—whatever you feel is fastest to spin up and easy for me to reproduce later. • Install only the essentials: Python, common AI/ML packages, plus any dependencies the code asks for once you see it. • Wire in simple logging so I can track errors and performance. • Give me a short README that shows the exact commands to start, stop, and reset the instance. I haven’t locked in a specific stack yet; I’m open to local, cloud, or virtual-machine setups as long as the steps are straightforward. TensorFlow, PyTorch, or scikit-learn might come into play, but we’ll confirm after you review the script. Deliverables: a working test instance, the commands or script to recreate it, and clear usage instructions. If this first pass goes smoothly, there’s room to expand into a fuller pipeline.