I’m new here and slowly moving from “AI-curious” to actually building with it. My background is in web development and some software projects, which means I spend a lot of time thinking about how LLMs fit into real systems without breaking everything around them. I care less about flashy demos and more about things that are stable, debuggable and safe for real users. Right now I’m experimenting with using AI as a supporting layer: helping with code, answering domain-specific questions, and acting as a structured assistant inside existing products rather than trying to make it “the whole product”. I’m especially interested in logging, guardrails, and what to do when the model is wrong or confused.. basically, how to design around failure instead of pretending it doesn’t happen. I joined this community to learn from people who are actually shipping things, not just talking about them. I’m happy to share my experiments, mistakes and small wins along the way, and I’ll probably ask a lot of questions about architecture, safety and practical use cases. Looking forward to learning with you all.