A quality engineer's guide to the Helpful, Honest, and Harmless Framework (HHH)
Use HHH to help guide your AI quality principles
Read the full story
The MoTaverse has everything you need, from resources, education, events, and a network to validate you are on the right track.
- MoT Profile
- OnDemand Courses
- MoTaCon and all in-person events
- Live Masterclasses and virtual events
- Open To and job postings
- Quality Insights
- Quality Knowledgebase
- Certifications
- Member Slack
- 24/7/365
Rosie Sherry
CEO & Founder of the MoTaverse
She/Her
I've been working in the software testing and quality engineering space since the year 2000 whilst also combining it with my love for education and community. It turns out quality, community and education go nicely hand in hand.
I'm here for community as a service and building the best possible tech community out there.
🎓 MoT-STEC qualified
Open To
Teach
Speak
Mentor
Podcasting
Write
CV Reviews
Meet at MoTaCon 2027
Comments
Gary Hawkes
My fear with this framework is it implies that AI is a "must use tool", hence a framework is needed to ensure that the AI is performing as we would want. It implies its more important to make sure AI is right, than getting the job done. AI should be nothing more than an advisor where we ultimately take responsibility for whether we use its findings or not. It shouldn't be about working on the AI to make sure it gives answers that are good enough where we can renege on our responsibilities.
Sign in
to comment
There are countless ways to show up and contribute. Which one will you try today?
Explore MoT
Learn how to structure and organize test management data as an AI-ready foundation that gives AI systems richer context for testing insights and workflows.
Advanced prompting skills to turn AI into your trusted testing companion.
Debrief the week in Quality via a community radio show hosted by Simon Tomes and members of the community
