I wanted this first cloud example to stay as simple as possible: deploy a model in Azure AI Foundry, call it from a small C# console app, and print the result. That is all this sample does, and that is why it works well as a first checkpoint. There is no web UI, no chat history, and no extra layering yet. Just a Foundry project, a gpt-5-nano deployment, and a tiny C# console app that proves the cloud call works end to end....
Most AI tutorials still begin in notebooks. I wanted to begin somewhere that feels more natural for a lot of .NET developers: a small console app, a local model, and one clean HTTP request you can read end to end. That constraint is the point of the project. Before adding streaming, chat history, or SDK abstractions, it helps to see the exact contract between your C# code and a running model....
Introduction There’s plenty amount of free hosting options for JavaScript world, but when you need to deploy your personal projects which written in Go, C#, Python etc. there’s almost zero free option for you to quickly deploy/test your application. Also it was always an issue when you want to host your websites at home. Installing software, buying static IP, setting port forwarding etc. Last couple of months I discovered a way to simplify and solve this issue, that is Cloudflare tunnels....