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# 🚀 Pre-README: Amazon Workflow Auditor + Inspire Activity Tracker
*A full blueprint of how I will develop the automated audit + workflow-monitoring system*

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## 📌 Project Vision

This project aims to build an **automated auditing engine** that evaluates:
- 🎧 Call quality (using transcripts or uploaded audio)
- 🔄 Workflow patterns (transfers, hold time, resolutions)
- 🛒 Inspire interactions (browsing, posting, reviewing customer content)
- 🍪 Cookie-based activity logs (internal tool workflows & clicks)

It will first be built **with Python + Django**, and later integrated with automation workflows using **n8n**.

This Pre-README explains how the system *will be developed step-by-step*, the tech, phases, and architecture.

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# 📚 Table of Contents
- [1. System Overview](#1-system-overview)
- [2. Core Features To Be Developed](#2-core-features-to-be-developed)
- [3. Tech Stack](#3-tech-stack)
- [4. Architecture Breakdown](#4-architecture-breakdown)
- [5. Development Milestones](#5-development-milestones)
- [6. API Strategy](#6-api-strategy)
- [7. n8n Automation Plan](#7-n8n-automation-plan)
- [8. Inspire Workflow Tracking (Cookies)](#8-inspire-workflow-tracking-cookies)
- [9. Database Schema (Draft)](#9-database-schema-draft)
- [10. Future Integrations](#10-future-integrations)
---

## 1️⃣ System Overview

The system will:
1. **Ingest call recordings or transcripts**
2. **Analyze workflow steps** each agent followed
3. **Fetch agent behavior logs** (using cookies/session recording)
4. **Score call quality + workflow compliance**
5. **Generate automated audit reports**
6. **Monitor Inspire activity** (posts viewed, uploaded, liked)
7. **Auto-flag unusual activity or violations**
8. **Provide dashboards for QA leaders**

All audits will be *fully automated* using AI + rules.

---

## 2️⃣ Core Features To Be Developed

### 🔍 Call Audit Engine
- Upload call or transcript
- NLP-based conversation analysis
- Intent extraction
- Workflow compliance scoring

### 🍪 Cookie Workflow Tracker
- Track agent clicks, page visits, and actions
- Convert click streams into workflow sequences
- Detect deviations:
- unnecessary transfers
- excessive hold
- skipping mandatory steps

### 📲 Inspire Tracking Engine
- Track time spent
- Track posts viewed
- Track engagement
- Behavior scoring

### 🧠 Quality Scoring Engine
- Behavior score
- Workflow score
- Inspire productivity score
- Combined Agent Quality Index (AQI)

### 📊 Dashboards
- Agent performance
- Daily audits
- Weekly violations
- Inspire activity

---

## 3️⃣ Tech Stack

### 🖥 Backend
- Python
- Django REST Framework
- Celery + Redis (task queues)
- PostgreSQL (primary DB)

### 🔄 Automations
- **n8n**
- Webhooks
- Task pipelines

### 🤖 AI / NLP
- Whisper or SpeechRecognition
- Text classification models
- Custom scoring logic

### 🎨 Frontend (later)
- HTML
- CSS
- JS
- React (future upgrade)

---

## 4️⃣ Architecture Breakdown
- Customer Call → Transcript → Audit Engine → Scores + Flags → Dashboard
- Cookie Stream → Tracker Module → Workflow Timeline → Analysis → Violations
- Inspire Browsing → Cookie Logs → Inspire Engine → Behavior Score

---

## 5️⃣ Development Milestones

### **Phase 1 — Foundation**
- Django project setup
- Upload system
- Basic workflow audit logic
- Simple scoring engine
- Basic API endpoints

### **Phase 2 — Cookie Workflow Tracking**
- Parse cookie logs
- Build workflow sequence generator
- Detect invalid actions
- Map workflows visually

### **Phase 3 — Inspire Activity System**
- Track browsing patterns
- Measure engagement
- Build Inspire scoring model

### **Phase 4 — n8n Automation**
- Auto-audit calls when uploaded
- Auto-generate reports
- Auto-send scores to dashboards
- Alerting system

### **Phase 5 — Dashboard + UI**
- Agent leaderboard
- Compliance summary
- Workflow violaton heatmaps

---

## 6️⃣ API Strategy

| API | Purpose | Method |
|-----|---------|--------|
| `/upload/call` | Upload call/transcript | POST |
| `/audit/run` | Trigger audit | POST |
| `/cookies/ingest` | Save workflow logs | POST |
| `/inspire/track` | Ingest Inspire activity | POST |
| `/agent/report` | Get full audit | GET |

---

## 7️⃣ n8n Automation Plan

n8n will automate:

### ✔ Auto-transcribing calls
### ✔ Auto-running audits
### ✔ Auto-generating quality reports
### ✔ Auto-sending data to dashboards
### ✔ Auto-flagging violations
### ✔ Auto-syncing Inspire logs

Workflow Example:

Watch Folder → Trigger
Transcribe Audio
Audit Script (Python)
Generate Score
Store in Database
Notify QA Lead


---

## 8️⃣ Inspire Workflow Tracking (Cookies)

We will capture:
- Page visits
- Post IDs viewed
- Scroll depth
- Likes/comments (if available)
- Time spent
- Click pattern
- Engagement ratio

These cookies will be parsed into structured workflows like:


---

## 9️⃣ Database Schema (Draft)

### **Tables**
- `agents`
- `call_records`
- `transcripts`
- `cookie_logs`
- `workflow_sessions`
- `inspire_logs`
- `audit_results`
- `violation_logs`

### Call Audit Sample Model
- agent_id
- call_id
- script_score
- behavior_score
- workflow_compliance
- hold_time
- transfer_count
- final_score

---

## 🔟 Future Integrations
- Voice sentiment analysis
- GDPR compliance mode
- Real-time monitoring
- Multi-language analysis
- Agent coaching suggestions

---

## 🤝 Contribution Guidelines

We welcome contributions from developers, AI enthusiasts, and workflow automation experts.

### How to Contribute
1. **Add a new file** to the project for your feature, module, or improvement.
2. **Document your feature clearly** in the file:
- What the feature does
- How it works
- Any dependencies it requires
3. **Raise a Pull Request (PR)** with your changes.
4. **Review process**:
- I will review your PR
- Provide feedback if needed
- Once approved, it will be merged into the main branch

### Notes for Contributors
- Keep code **modular and readable**
- Write **clear comments and documentation**
- Test your feature before submitting a PR
- Features should **align with the project’s roadmap and vision**

By following these steps, we can collaboratively build this AC3-inspired tool while keeping it organized and production-ready.
## 📌 Final Note

This Pre-README will evolve into the main README as each module gets built.
This document represents the entire technical vision and development roadmap for the project.