A one-person experimental lab, where AI meets reality.

AI is changing fast, but most conversations stop at opinions. Here, the questions everyone is asking become real-world experiments. If people are wondering whether AI can actually do something, there's a chance I'm already seeing what happens when it does.

What is PWAI

PWAI (Pretty Wired AI) is an experimental lab that combines engineering with immersive journalism to test the AI ideas everyone is talking about—but few have actually tried.

Benchmarks aren't reality. Product announcements aren't proof. And a viral post isn't evidence. What happens when AI leaves the keynote and enters the real world? PWAI exists to answer that question through transparent, reproducible experiments that reveal how AI actually behaves once the cameras are off.

The Human Guinea Pig

April Gittens, founder of PWAI.
April Gittens, founder

I was a little late to the generative AI party because I was still on the front lines saving the fragile relevance of extended reality. But even I had to throw the towel in and fall in line with the growing number of huumans that are fascinated by the possibilites of generative AI. My day job is to teach developers how to responsibly build and create with AI. But after spending the last couple of years drowning in demos and sample code for hypothetical use cases, I decided that it was time to practice what I teach and see just what it's like to coexist with generative AI in my everyday life.

And I don't mean impromptu chats with ChatGPT or Claude asking whether the word is "cue" or "queue", rather I'm referring to AI systems intentionally designed to serve a purpose around the betterment of my life. The internet is full of AI fearmongering, often times about situations that have never (and likely will never) happen.

However, I'm a woman of science and as such, I'd like to put generative AI to the test.

— A.G.

Current experiments

Week 1 of 8

Live from the field:

I Let AI Prepare Me for Every Meeting With My Manager 3% · Last update July 6, 2026 Follow the experiment →

The record

Prior work you can verify. Talks, code, and things I've written.

  1. Code Semantic Caching Lab GitHub · 2026
  2. Talk MCP for Beginners Microsoft Developer · 2025
  3. Writing Visual Studio Code for Python Programmers Wiley · 2021
  4. Writing Bite-Size Python: An Introduction to Python Programming Wiley · 2020

Contact

For questions or collaborations

ai@prettywiredlabs.com

I'll respond within 24-48 hours

To follow along

Current experiments and lab notes: