Llupa2398inmyaiblogs.hashnode.dev·4d ago · 2 min readThe AI Prototype ProblemBuilding an AI prototype has become surprisingly easy. A few prompts, an API, some generated code, and suddenly there is something that looks like a real product. That is also where things can get mis00
Llupa2398inmyaiblogs.hashnode.dev·4d ago · 4 min readHow to Run Local LLMs in Flutter: Dart FFI, llama.cpp, and the Architecture Behind On-Device AIRunning an LLM inside a Flutter application sounds simple until you look beneath the UI. A typical mobile AI feature looks straightforward: User → Prompt → API → LLM → Response But local inference rem00
Llupa2398inmyaiblogs.hashnode.dev·Sep 2 · 6 min readFrom AI Prototype to Production: 7 Engineering Problems Teams Discover Too LateAI prototypes are getting remarkably easy to build. A developer can connect an application to an AI model, add a prompt, create a simple interface, and demonstrate the concept in days. That speed is v00
Llupa2398inmyaiblogs.hashnode.dev·Sep 2 · 5 min readFrom AI Experiments to Production Systems: What Changes When AI Becomes Part of the Product?There was a time when building an AI application required a relatively specialized team and significant infrastructure. That barrier has fallen. Today, developers can connect applications to powerful 00
Llupa2398inmyaiblogs.hashnode.dev·Aug 31 · 7 min readAI Agents Are Moving Into Business Operations: What Enterprise Teams Need to Get Right in 2026AI agents are getting a lot of attention right now. But I think the more interesting story isn't that AI can have a conversation. It's that AI is starting to participate in the work that happens after00
