• Beyond the Toolbox: Building Reliable Agent Playbooks with MCP

    Giving an LLM Agent a toolbox full of raw tools is a great first step, but without proper guidance, the Agent is left guessing how to use them efficiently. This forces the model to reinvent the workflow every time, leading to unpredictable results and inconsistent performance. In this post, we explore how to bridge this gap using Model Context Protocol…

  • Responsible AI Use: Save the Planet One Prompt at a Time

    I have to start by saying I’m a massive fan of AI. I’ve used it over the last few years as a foundational tool. From accelerating complex coding workflows and distilling hours of meeting notes to generating acceptance criteria for new features. The value it’s added has been genuinely disruptive. In fact, our team has been so efficiently enabled that…

  • Turn Any Public API Into An Agentic Service: OpenAPI + MCP

    The Secret Nobody Talks About: Your existing public API is already 90% of the way to being an autonomous agent. Here’s how to unlock that last 10%. The Game-Changing Realization Most businesses have built APIs. They’ve invested in documentation, SDKs, authentication, rate limiting—all the hard infrastructure work. But they’re missing one critical piece: agentic capability. With MCP (Model Context Protocol) + OpenAPI…

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