# I Built an AI Agent That Remembers What Product Teams Already Tried

> Source: <https://dev.to/darshini_ayyapusetty_1e5c/i-built-an-ai-agent-that-remembers-what-product-teams-already-tried-38gk>
> Published: 2026-09-30 03:30:20+00:00

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
```