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AI Agents and Jobs: Adaptation, Not Replacement | Future of Work

Image by freepik Last month, I witnessed something that utterly transformed my perspective on AI. We applied an AI agent to create code that would traditionally take my team 3-4 weeks. With some give-and-take prompting and tuning, we had functional code in 3-4 days. And then there was the marketing copy that took us a day or two; now we’re seeing decent first drafts in minutes with the appropriate prompts and context. But here’s the caveat, and this is important, all that output had to be reviewed by human eyes. The code was fine on the surface,…

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The Model Context Protocol (MCP): Solving the AI Integration Mess

For years, I’ve struggled with various AI APIs, and I’m now persuaded that the Model Context Protocol (MCP) is what we’ve all been looking for. Having implemented MCP servers and clients in projects as diverse as enterprise knowledge bases and customer support platforms, I’ve witnessed the impact this protocol is having firsthand. So, what’s Model Context Protocol (MCP) all about? Consider the good old days of the web when HTTP hadn’t yet standardized things.  Each server had its own quirky method of dealing with connections and data. That’s precisely where we’ve been with AI integration – a total mess of proprietary endpoints, inconsistent formats, and hacky workarounds. MCP pierces through all that confusion….