A testing layer that simulates difficult client personas, incomplete answers, and varied health situations to identify broken paths in an AI assessment before real clients encounter them, including backend orchestration failures.
Described on the record by a senior operator who runs this workflow every day.
Shown because the operator described this sequence step by step.
"That's the one thing that's also missing, testing itself."
"But I couldn't fix what he set up. I couldn't fix if it the conductor and the health assessor weren't talking together. That was on the back end. I could only fix the skills."
"pretend like you're five very difficult clients. Don't answer this like fruitfully. Answer like almost like not wanna answer or give like half answers or right, like just be difficult. And it did. It ran through five different types of clients that could come to with all sorts of different health conditions, and we it found the bugs."
Generate adversarial client simulations; test full end-to-end agent handoffs, token limits, report generation, email delivery, and portal behavior; diagnose failures; and propose or apply fixes across both skill and orchestration layers.
A testing layer that simulates difficult client personas, incomplete answers, and varied health situations to identify broken paths in an AI assessment before real clients encounter them, including backend orchestration failures.
It was raised by 1 operator in health and wellness.
The guest can use Claude to test individual skills, but cannot independently fix backend communication failures between the conductor and specialist agents; assessment-report delivery bugs can leave clients without results after a long session.
The operator described these steps:
Tools named in the interview:
Dr.
Nikki Siso — named on the record by the operator who described the problem.
Product manager · scoped to this opportunity
AR Product Manager
I have 3 sourced passages on "Self-testing and debugging system for multi-agent client workflows" from 1 operator. Ask me for scope, user stories, failure modes, or a full PRD — I answer from the transcripts first, and label anything that isn't sourced.
3 sourced · 1 AR analysis