Your System Prompt Is the Product — Not the Feature
Author(s): Nagaraj Originally published on Towards AI. Complete control over everything in one string System prompts are the architecture of every good AI app. Learn to design them precisely and build consistent, role-appropriate Claude integrations. Source : NagarajThe article discusses the importance …
Calling the Anthropic API: 4 Lines to Your First LLM Response
Author(s): Nagaraj Originally published on Towards AI. No boilerplate here. No DI container, nothing-no middleware whatsoever. Just results I have dedicated several months to developing artificial intelligence backends using C# which includes building Semantic Kernel and HttpClient and custom middleware and dependency …
You’re Not Bad at AI. You’re Bad at Asking.
Author(s): Nagaraj Originally published on Towards AI. Stop blaming the model and start fixing your requests. You copied a prompt from Twitter. The method worked flawlessly for other people. Your results showed unclear communication which didn’t match your expected tone and proved …
Practical Local RAG with .NET and Vector Database
Author(s): Nagaraj Originally published on Towards AI. A complete guide to implementing Retrieval-Augmented Generation using .NET, LM Studio embeddings, and local vector storage — no cloud required. Did it never occur to you that ChatGPT could answer queries regarding your company’s documents …
I Gave an AI Agent Shell Access. It Took 12 Seconds to Exploit.
Author(s): Nagaraj Originally published on Towards AI. A live demo of why your MCP server needs Docker — with screenshots of the attack and the fix. My terminal credentials were stolen by an npm package which I installed five minutes ago. Source: …
MCP Inspector Unlocks a New Way to Develop
Author(s): Nagaraj Originally published on Towards AI. Stop Debugging MCP Servers with Console Logs I opened MCP Inspector for the first time at 2 AM. Source : AuthorThe article discusses the MCP Inspector tool, highlighting its advantages over traditional debugging methods using …