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2 posts tagged with "AI Development"

Building, deploying, and optimizing AI applications. Covers model training, API integrations, infrastructure design, and best practices for scalable AI development.

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Same prompt. Different teammate.

· 4 min read
Norah Klintberg Sakal
AI Consultant & Developer

Same prompt. Different teammate. My 5 cents on Opus 4.8

Same prompt. Different teammate. My 5 cents on Opus 4.8

I'm using Claude Code while creating my "How to deploy an AI agent" course.

Don't get me started. I know it's very meta to use AI while building a course about deploying AI apps, but here we are.

And after switching to Opus 4.8 today, I noticed a small thing that felt different.

Not "the model solved world peace" different.

More like "Did it just understand what I'm actually working on? 🧐"

What is Model Context Protocol (MCP)? How it simplifies AI integrations compared to APIs

· 7 min read
Norah Klintberg Sakal
AI Consultant & Developer

What is Model Context Protocol (MCP)? How it simplifies AI integrations compared to APIs

MCP (Model Context Protocol) is a new open protocol designed to standardize how applications provide context to Large Language Models (LLMs).

Think of MCP like a USB-C port but for AI agents: it offers a uniform method for connecting AI systems to various tools and data sources.

This post breaks down MCP, clearly explaining its value, architecture, and how it differs from traditional APIs.