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🚀 ExpTrack – AI Business Experiment Tracker

“My AI Agent Has Amnesia — And It’s Ruining My Business.”


🧠 Overview

ExpTrack is an AI-powered business experiment tracking system that introduces memory (Hindsight) into decision-making.

Businesses frequently run experiments in pricing, marketing, and product strategy — but fail to retain structured knowledge of what worked and what didn’t.

ExpTrack ensures that every experiment is remembered, analyzed, and used to guide future decisions, transforming trial-and-error into a learning system.


❗ Problem

Businesses often:

  • Repeat failed experiments
  • Lose revenue due to poor decisions
  • Lack structured memory of past actions
  • Rely on guesswork instead of data

👉 Result: Revenue leakage + wasted time


⚡ Solution

ExpTrack provides an AI agent with memory that:

  • Tracks all experiments
  • Stores outcomes (success/failure + metrics)
  • Finds similar past experiments
  • Provides insights before decisions are made

🧠 Core Concept: Hindsight Memory Engine

Unlike traditional tools, ExpTrack:

  • Stores experiments as structured data
  • Converts them into embeddings (vector format)
  • Uses similarity search to retrieve relevant past experiments
  • Uses LLMs to generate insights from past outcomes

👉 This enables learning BEFORE action, not just after


🔑 Key Features

🛫 Pre-Flight Experiment Check

  • Detects similar past experiments
  • Warns before risky decisions

📊 Experiment Tracking

  • Experiment name
  • Pricing / parameters
  • Hypothesis
  • Outcome (success / failure + metrics)

🧠 Memory-Based Learning

  • Builds a decision history
  • Detects patterns across experiments

⚡ Real-Time Insights

  • Success rate tracking
  • Pattern detection
  • Smart recommendations

🔄 Continuous Improvement

  • Updates memory after every experiment
  • Gets smarter over time

⚙️ How It Works

  1. User inputs experiment details
  2. System performs similarity search
  3. AI generates insights / warnings
  4. User executes experiment
  5. Outcome is recorded
  6. Memory updates → system improves

📌 Example

Experiment: Increase price from ₹999 → ₹1299

System Output:

“3 similar experiments for this segment resulted in a 22% drop in conversions. Consider testing ₹1099 instead.”

👉 Helps prevent revenue loss before execution


🏗️ Tech Stack

Frontend

  • HTML
  • CSS
  • JavaScript

AI Layer

  • LLM integration (insight generation)
  • Vector database (experiment memory)
  • Similarity search

📂 Project Structure

exptrack/
│
├── frontend/
│   ├── index.html
│   ├── styles.css
│   └── script.js
│
│
└── README.md

3️⃣ Run Frontend

Simply open:

frontend/index.html

in your browser


💼 Use Cases

  • Pricing optimization
  • Marketing campaigns
  • Product experiments
  • SaaS feature testing
  • Revenue strategy

🚀 Why This Matters

Businesses don’t fail because of lack of ideas. They fail because they repeat mistakes.

ExpTrack ensures:

  • Decisions improve over time
  • Knowledge is never lost
  • Revenue leakage is minimized

🔮 Future Scope

  • Predictive success scoring
  • Industry-specific insights
  • CRM / analytics integrations
  • Automated experiment recommendations

📚 References

  • Hindsight Agent Memory
  • Vector Databases
  • AI Decision Systems

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