Forty tabs open. Back-to-back meetings. An AI coding assistant quietly wiping your context every twenty minutes. If that's your day too, you already know what it feels like to walk into a room mentally exhausted and without the one thing you need to make a decision.

I built a Slack bot to fix that for myself. I'll show you what it does and how to build one for yourself.

While we, as individuals, recognise our limitations and biases, what about our AI systems?

With the expansion of AI technologies and algorithms into fields like UI personalisation, are we prepared to advance further? Or are we risking a widespread failure?

In this talk, we'll be looking at issues with algorithmic user profiling and how this can lead to marginalisation and poor user experiences and what to do about it.

Organizations face a significant challenge in balancing the rapid pace of AI innovation with the critical need for risk management and trust. While projections for AI investment are high, with some estimates suggesting it could account for 10-12% of technology budgets, a more cautious and critical approach is necessary.

Andy's talk will explore why firms should resist the pressure to blindly adopt AI and instead treat it like any other new technology investment. We'll discuss the importance of being agile while also maintaining a strong focus on managing risk, building trust, and critically evaluating the real-world implications of AI implementation before committing significant resources and how to differentiate ourselves, beyond the GenAI hype.

Let's be honest, nowadays most of us see an error, copy it into ChatGPT, and hope for the best. I've done it. You've done it. We've all wasted 30 minutes going back and forth with AI when our browser could've shown us the answer in 2 minutes.

This talk is about remembering that our browsers have incredible debugging tools we've forgotten how to use. Through live demos of real bugs, I'll show you how breakpoints, call stacks, and the network tab can solve problems maybe faster than any AI assistant.

You'll learn:

How to ditch console.log hell and actually watch your code run Breakpoint tricks that pause your app so you can inspect what's really happening How to read call stacks without your eyes glazing over Network tab techniques that expose exactly why your API is misbehaving When debugging tools beat AI (and when AI is actually helpful)
 I'm not saying don't use AI—I use it all the time. But there's something powerful about understanding your own code well enough to fix it yourself. Plus, you'll be way faster, and you'll actually learn something instead of just copy-pasting solutions you don't understand.