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AI

How does AI work under the hood?

A talk I gave on what’s actually happening inside modern AI. No magic, just patterns learned from data at a scale that’s hard to picture, from a single Titanic passenger list to large language models.

Eve Anderson

1 min read
The opening slide of the AI under the hood talk, reading "AI under the hood: not magic, just unimaginable scale".

People treat modern AI as either magic or a threat, and it’s neither. It’s a machine that has looked at an enormous amount of data and learned the patterns in it. This is a talk I gave at TechNExt 2026 on exactly that, starting with a single passenger list from the Titanic and building up to how a large language model guesses the next word.

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A hand ticking items off a handwritten checklist
Launch

The launch checklist for an AI-built app

Everything I check before an AI-built app meets real users: security, data protection, reliability, performance, scaling, deployment, code quality and accessibility, with the concrete points under each and how to prioritise them.

Eve Anderson

10 min read
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A window with the curtain drawn across it
Privacy

What GDPR actually asks of your AI-built app

A practical, engineer-not-lawyer walk through the GDPR basics an AI-built app needs to get right, and the two things to fix before you launch.

Eve Anderson

6 min read
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