Rahul Parwal and Rosie Sherry discuss how quality professionals can navigate AI adoption, avoid the noise, and find where human skill still matters most.

This is just a short snippet of ideas from Rahul's recent Masterclass on A tester’s guide to AI guardrails

 AI agents are becoming the new OS for building, testing, and shipping software.Don't stop at the interface level. Go deep, there is a lot out there.Good read for MoT #Pro members: A guide to...

The lineup is out and oh my... how exciting is it?These are the contributors we've announced publicly... but let me tell you something. Every single person walking through the Brighton Dome doors b...

I realized that MoT profiles have better SEO.You show up better and on top. There are higher chances that someone who wants to know you or find you on the web, will find you via your MoT profile fi...

 The prompt: Hey ChatGPT, write a totally bonkers, unhinged bio about me (Rahul Parwal) in 200 words. Then, create an image.Inspired by Dragan Spiridonov and rosie sherry 🐌 unhinged bio moment...

It's great to connect with community members. Today, I could do that with Sunitha. We talked about Careers, AI, LinkedIn, upskilling, resources & much more.This moment is also a call to every M...

Most testers are already using Gen AI for their daily tasks. But there's a problem. If you don't share the same context with AI, your interaction will stay surface-level, no matter how carefully yo...

It's great to connect with community members. Today, I could do that with Ramya. We talked about Careers, AI, LinkedIn, Upskilling, Resources & much more.This moment is also a call to ever...

Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.

A limitation of AI language models where training on "A is B" does not automatically teach the model "B is A." For example, a model that knows Tom Cruise's mother is Mary Lee cannot reliably answer who Mary Lee's son is.