We start with JDQ.
Our first AI case studies come from our own operations. We use them to test methods, tools and controls before we bring them to clients. Client case studies will be added as engagements complete.
Planning and prototyping this website
We used an AI assistant to review our old site, write the plan, and build the clickable prototype you are looking at.
3Spheres™ Robotics Project: Aether™ collaborative service robot
A ten-year research project, led by JDQ, that designed and field tested Aether™, a collaborative service robot to help care staff support people with developmental disabilities and older adults. The project is on hold, but what we learned guides how JDQ uses AI today.
Run-time error and issue triage
Our applications report every warning, validation message and error back to JDQ by design, including new versions in user acceptance testing. An AI agent picks out the roughly 1% that need attention and documents them in Project Watch™, easing the testing burden for JDQ developers and client QA testers.
AI coding agents expedite JDQ app development
JDQ developers use AI coding agents to plan, build, test and document our applications, including the rebuild of Project Watch™ on a modern platform. Every change is reviewed, tested and approved by a JDQ developer.
Your project here
Client case studies will be published here, with permission, as engagements complete.