Episode #32
Generating Opportunity Solution Trees with AI: How Vistaly Rebuilt Its Product Around Interview Synthesis, Evals, and Re
What happens when you hand your opportunity solution tree to an AI? Vistaly rebuilt its entire product to find out—and the agents were the easy part. In this episode of Just Now Possible, Teresa Torres talks with Matt O'Connell (Co-Founder and CEO), CP Dehli (Co-Founder), and Steve Klein (Co-Founder) at Vistaly, a company Teresa partners with and builds for. V1 was a purpose-built canvas for continuous discovery. V2 is a ground-up rewrite: upload customer interviews, get a snapshot of each, and let an agentic workflow draft and update your tree. They get specific about what broke. A chat-based synthesis experiment users found too slow. A "house of cards" problem where one badly framed opportunity corrupts every layer above. Teresa walks through the AI evals work behind one customer complaint—"I'll have to come back and clean up this branch"—including an LLM as a judge she couldn't calibrate and the orchestration change that fixed what no prompt could. You'll hear why change sets had to be taught to the agent as the rules of a game instead of diffed at the end, how data residency pushed them onto Bedrock, and why their hardest problem isn't output quality—it's helping people comprehend what changed.
