This is the full script of a talk I gave at an AWS public-sector event last year. I’m publishing it unchanged because the ideas still hold: AI works best when it’s treated as a system of learning, interpretation, and human judgment — not magic.
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There is a gap between what GenAI can do and what it can be trusted to do. These systems produce fluent, authoritative-sounding output regardless of whether that output is accurate, coherent, or fit for purpose. Treating them as answer machines leads to frustration. Treating them as thinking tools—where the human remains responsible for judgment and verification—creates real leverage.
How the AWS Lambda Hackathon let me stress test an idea that ended up transforming how I work with Q CLI to develop software. This post is based on a presentation at AWS Community Day 2025, New Zealand, Aotearoa.
A few days ago, I came across the AWS Builder Challenge—and I couldn’t resist. I love these sprints: the adrenaline of a deadline, the chance to challenge assumptions, and the opportunity to try and learn something new.
Yes, it says micromanagement - and this time it makes sense.
June 4-5, 2025 saw AWS bring together thousands of developers, builders, and business leaders at Sydney's International Convention Centre for their annual Summit. Across 90+ sessions and 80+ partner showcases, the event highlighted both where AWS is directing their efforts and how customers are putting those tools to work Amazon— here are five things that stood out to me from the two days.
I’ve been practicing an AI First mindset for a few months now. It wasn’t something I defined from the start—it just emerged naturally from how I worked. Whether I was tackling a complex project, debugging a technical issue, or drafting a message, AI became a central part of my thinking loop.
Imagine standing in a photo lab, holding a freshly printed picture, unaware that the very act of developing film is about to vanish. Disruption rarely announces itself with sirens—it creeps in, reshaping industries before most notice. AI isn’t just another innovation; it’s a tidal wave accelerating change. Will you harness it to stay ahead, or risk falling behind? What happens next is up to you.
Built with Amazon Q Apps in just two hours at the AWS & Ingram Micro GenAI Hackathon in Auckland 2025, Reply.ai is an intelligent email assistant that helps you take control of your inbox.