Most AI content stops at the prototype. These posts are about what comes after: tools that are reliable, affordable, and safe enough for real users. A lot of this work uses the Model Context Protocol (MCP), which changed how I connect models to real data and tools.

You’ll find end-to-end MCP server builds, notes on Amazon Bedrock and RAG, and lessons on cutting token costs, controlling model output, and keeping AI systems secure. I write from a builder’s seat. Every guide here comes from something I shipped, including where it went wrong.

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