Hi. I'm a cloud architect and a developer advocate. I've spent fifteen years designing distributed systems. Then I took maternity leave, came back six months later, and the entire AI landscape had shifted under my feet.
I'm not new to tech. But I felt new to this.
Why I'm doing this publicly
Because I know I'm not the only one who feels behind. And the honest version of learning, where things break and you say "I don't know yet", is more useful than another polished tutorial that skips the hard parts.
Every post includes what worked, what didn't, and what I'd do differently. No fluff.
Who this is for
Curious non-coders : PMs, designers, analysts, architects who work around tech but don't code daily. You keep hearing "AI" in every meeting and want to actually understand what's happening underneath.
Developers who feel behind : You've shipped production systems but AI moved fast and you want a ground-up refresher without anyone being condescending about it.
Both audiences get the same series. I don't dumb things down or skip the architecture. I just don't assume you've been following every model release since 2022.
What tools I use
- Amazon Bedrock Playground : where I run most the initial the demos. Type a prompt, pick a model, see what happens.
- Bedrock API : I move from playground to code.
- Kiro IDE : I use an AI-powered IDE to build something real with specs and structure.
The tools are AWS because that's my stack BUT the concepts are portable. Everything I explain works the same way on any cloud.
This is the full index for the series.
Act 1: "AI is not magic"
Part 1: What even is AI?
Part 2: Why does AI lie?
Part 3: Which model should I use?
coming soon...