Role
Product designer
Owned
Agent UX, behavior, UI
Company
Rapidflare.ai
Timeline
Apr 2025 – Jun 2025

Challenge
Sales reps in semiconductors have to match customers to the right part across thousands of options and dense specs. This process spans hours and even days, since most sales reps don’t have the technical depth to do it alone. Rapidflare had a working Product Selection Agent that could already narrow to a recommendation, but it did not handle ambiguous input well.
My role: The experience layer. I owned agent behavior, response architecture, communication style, and the UI. I worked in weekly cycles with product and engineering, and tested directly with senior sales engineers at early customers.
The goal: Not just accurate recommendations, but an agent that’s honest about what it assumed, and easy to correct when it’s wrong.
The solution
Outcome
Exceeded the accuracy bar for major early customers
80% of pilot users used filters mid-chat
Behavior model became the standard across all agents
Launched publicly at GSX 2025
How this got built
Most of the behavior model came out of testing. Many of the paths apart from the happy path, like when a rep has a number but is just trying to assess feasibility, were surfaced in working sessions with product and engineering. Testing with sales engineers exposed new use cases and failure modes as well.
