From Graph Databases and City Builders to Founding ByteTect: Why the Enterprise Needs Digital Infrastructure Architects.
Over the last few years on this blog, I’ve shared my deep dives into building complex systems. Whether it was managing the intricate supply chains of a post-apocalyptic city builder in Unity, or structuring raw talent data using Neo4j and Google’s Gemini, my core obsession has always been
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Learn how to build a Real-Time AI Phone Assistant that sounds Stunningly Human.
1. Introduction: Beyond Robotic IVRs You know the drill: “Press 1 for sales… Press 2 for support…” It’s 2025, and this still makes people groan. For decades, phone automation has meant friction, repetition, and frustration. But AI has reached a point where this no longer needs to be
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Building a Smarter Neo4j AI Agent with Google’s GenAI Toolbox
Notice: Read the first part Structuring Talent data with Neo4j and Gemini When Google announced the GenAI Toolbox, I immediately knew it was an important step. Finally, a structured, open-source framework that allows AI agents to work with databases like PostgreSQL and Neo4j using function calling. No more
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From CVs to Graphs: Structuring Talent Data with Gemini and Neo4j
If you’ve ever tried to make sense of a stack of CVs, you’ll know it’s a chaotic mess of formatting styles, bullet points, and scattered info. You might spot a great candidate on page three, lose track by page five, and forget who worked with whom. Now imagine
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My Evolving Relationship with AI: From Skeptic to Power User
I wasn’t always sold on AI. Sure, I followed the headlines. I tried out the early tools. But for a while, it all felt like hype layered on top of buzzwords, with a dash of magic. Cool demos, yes — but not something I could rely on in
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