I build software with AI for problems nobody had digitized yet.

Inside a mission-critical Angular/.NET platform, a recurring internal task was still done by hand-editing YAML. Here's the spike, the case I made to the client, and what actually made it to production.

Building AI chatbots in .NET often raises the question: which OpenAI model should you use? In this post, inspired by Anton Martyniuk’s guide, we explore how to run multiple models like gpt-3.5-turbo and gpt-4 in parallel, store their responses separately using Neon Postgres branching, and compare results efficiently. It’s a scalable and clean way to experiment with AI without mixing data or overcomplicating your backend.

Authentication confirms **who** a user is; authorization determines **what** they can do. Proper implementation prevents unauthorized access and data leaks. Below are best practices and patterns for secure ASP.NET Core applications: