ClosedLoop AI CLI

Transform scattered customer product feedback into actionable strategic insights with AI-powered analysis

🎯 The Problem You're Solving

Product teams are drowning in scattered product feedback from multiple channels:

• Support tickets scattered across Zendesk, Intercom, and email
• Sales and customer success call insights buried in transcripts
• User surveys and feedback forms in different tools
• Social media mentions and app store reviews
• Internal team discussions in Slack

The result? Critical customer product feedback get lost, patterns go unnoticed, and product decisions are made without data.

✨ How ClosedLoop AI CLI Solves This

Transform chaos into clarity with autonomous AI that:

• 🔍 Discovers Hidden Patterns - AI finds insights humans would miss across all your feedback sources
• ⚡ Real-Time Analysis - Get instant insights as new customer product feedback comes in
• 📊 Strategic Intelligence - Convert customer voice into actionable product decisions
• 🎯 Revenue Impact - Quantify the business value of each customer feedback
• 🔄 Source Agnostic - Works with any data source through flexible APIs

🚀 Quick Start

Installation

# Install globally for CLI usage
npm install -g @closedloop-ai/cli

Get Your API Key

1. Visit https://closedloop.sh
2. Sign up for a free account (100,000 credits every month included!)
3. Generate your API key
4. Configure the CLI:

cl config set --api-key your-api-key-here

Set Your Product Website (Important!)

Configure your product's website URL to help ClosedLoop understand your product context:

cl team website "https://yourproduct.com/feature"

Why this matters: ClosedLoop AI uses your product URL to learn about your product features, competitors, pricing, and positioning. This enables more accurate feedback attribution and product-specific insights. For example, if you're working on iPhone, use https://apple.com/iphone - this helps ClosedLoop AI understand that "camera quality" feedback is about iPhone cameras, not just any camera.

Ingest Your First Customer Feedback

# Ingest raw customer feedback for AI analysis
cl ingest "The new dashboard is confusing and hard to navigate. I can't find the settings menu and the layout is cluttered."

# Wait for AI to analyze and generate structured insights
cl ingest "Customer complaint about performance issues" --wait

# View all AI-generated customer product feedback
cl insight

# Get detailed analysis of a specific insight
cl insight 2ea8f556-052b-4f5c-bf86-833780b3d00d

🎯 Perfect For

Customer Success Teams

• Stop losing critical insights buried in support tickets
• Identify patterns across customer conversations
• Proactive customer success with early warning signals
• Data-driven customer health scoring

Product Managers

• Prioritize features based on real customer needs
• Quantify business impact of product decisions
• Track feature adoption and customer satisfaction
• Competitive intelligence from customer feedback

Business Analysts

• Strategic insights from customer behavior patterns
• Revenue impact analysis of customer feedback
• Market intelligence and trend analysis
• ROI calculations for product investments

📖 CLI Commands

Ingest Customer Feedback

# Basic ingestion
cl ingest "The app crashes when I try to upload large files"

# With metadata for better analysis
cl ingest "Great product, love the new features!" \
  --title "Positive Feedback" \
  --customer "customer-456" \
  --name "Jane Smith" \
  --email "[email protected]" \
  --url "https://support.example.com/ticket/789"

# Wait for AI analysis to complete
cl ingest "Customer complaint about performance" --wait

View AI-Generated Customer Product Feedback

# List all structured insights
cl insight

# View specific insight details
cl insight <insight-id>

# Get JSON output for scripting
cl insight --json | jq '.data[0].title'

Manage Your Data

# List all customer feedback ingested
cl ingest

# View specific feedback details
cl ingest <feedback-id>

# Check processing status
cl ingest <feedback-id> --status

🔧 Configuration

The CLI stores configuration in ~/.closedloop/config.json:

{
  "apiKey": "your-api-key-here"
}

Environment Variables (Advanced)

For developers and CI/CD systems, you can also set your API key as an environment variable instead of using the config file:

# Set the API key as an environment variable
export CLOSEDLOOP_API_KEY="your-api-key-here"

# Now you can use the CLI without running 'cl config set'
cl input "Customer feedback here"

When to use this:

• CI/CD pipelines: Set the API key in your deployment environment
• Docker containers: Pass the API key as an environment variable
• Server scripts: When running automated scripts on servers
• Multiple users: When different users need different API keys on the same machine

Note: The CLI will automatically use the environment variable if it's set, otherwise it falls back to the config file.

💡 Simple Workflow

Here's how to get started with ClosedLoop AI CLI:

# 1. Set your API key
cl config set --api-key your-api-key-here

# 2. Set your product website (helps AI understand your product)
cl team website "https://yourproduct.com/feature"

# 3. Ingest customer feedback
cl ingest "The new dashboard is confusing and hard to navigate"

# 4. Check what feedback you've ingested
cl ingest

# 5. View AI analysis of your feedback
cl insight

# 6. Get details on specific feedback
cl insight <insight-id>

That's it! ClosedLoop AI will automatically analyze your feedback and provide actionable insights.

📚 Documentation

• Complete CLI Commands Reference - All commands, parameters, and examples
• Contributing Guide - Development and contribution guidelines

🎯 Why This Matters

Before ClosedLoop AI CLI

• ❌ Scattered feedback across 5+ different tools
• ❌ Manual analysis taking 20+ hours per week
• ❌ Missed patterns and critical insights
• ❌ Reactive decisions based on incomplete data
• ❌ Lost revenue from unaddressed customer needs

After ClosedLoop AI CLI

• ✅ Unified intelligence from all feedback sources
• ✅ Automated analysis with AI pattern recognition
• ✅ Proactive insights delivered in real-time
• ✅ Data-driven decisions with quantified business impact
• ✅ Increased revenue from better customer understanding

📊 Business Impact

• 80% faster analysis time (from 20 hours to 4 hours per week)
• 40% faster feature prioritization decisions
• 25% increase in customer satisfaction scores
• 35% increase in feature adoption rates
• 50% reduction in failed feature launches

🧪 Development

Prerequisites

• Node.js 16+
• npm or yarn
• TypeScript 5+

Setup

# Clone the repository
git clone https://github.com/closed-loop-ai/mcp-client.git
cd mcp-client

# Install dependencies
npm install

# Build the CLI
npm run build:cli

# Run tests
npm test

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Links

• Platform: https://closedloop.sh
• Documentation: https://docs.closedloop.sh
• GitHub Issues: https://github.com/closed-loop-ai/closedloop-cli/issues
• NPM Package: https://www.npmjs.com/package/@closedloop-ai/cli

🆘 Support

• Documentation: Check our docs
• Issues: Report bugs on GitHub Issues
• Discussions: Join our GitHub Discussions
• Email: [email protected]

Made with ❤️ by ClosedLoop AI

Transform customer product feedback chaos into strategic product decisions with AI-powered insights.