Most AI systems are pretty good at answering questions about what's happening right now.
But product teams don't work only with what's happening right now.
A problem reported today might have appeared six months ago. Someone may have already investigated it. The team may have shipped a fix. The fix might have worked for one group of users but failed for another.
Then, months later, the same problem comes back.
At that point, the useful question isn't just:
"What are customers complaining about?"
It's:
"Have we seen this before, and what happened when we tried to fix it?"
That's the idea behind TRACE.
TRACE stands for:
Tracking Reactions, Actions, Consequences & Evolution.
It's a product intelligence agent designed to understand the lifecycle of customer problems over time.
Instead of treating every customer review as an isolated piece of text, TRACE treats a problem as a persistent entity.
The basic lifecycle looks like this:
text
Customer Feedback
↓
Problem
↓
Product Decision
↓
Intervention
↓
Outcome
↓
Historical Memory
↓
New Feedback
↓
Problem Recurrence / Evolution
product: https://trace-sigma-two.vercel.app/#/dashboard
video : https://youtu.be/cKWxDEiGZaY
github : https://github.com/SahithiGh/Trace