GitHub - Ai-Quill/ai-sheeter: aisheeter

The only Google Sheets AI with multi-step workflows, conversation memory, and output control.

Website • Install Extension • Demo • Features • Installation • API

🚀 Quick Start

Ready in 30 seconds • Free tier included • Your keys, your data

1. Install the add-on from Google Workspace Marketplace
2. Open any Google Sheet and find AISheeter in the Extensions menu
3. Connect your API key (OpenAI, Anthropic, Google, or Groq)
4. Start using AI with conversation memory and multi-step workflows

Demo

Click to watch the demo video
See how AISheeter transforms messy CRM notes into actionable insights with a 3-step workflow

Why AISheeter?

Most AI spreadsheet tools are just fancy formulas. AISheeter is different — it's a true intelligent agent that:

Features

🔗 Multi-Step Task Chains

Execute complex workflows with a single command:

"Analyze these sales notes → Extract buying signals → Score deal priority → Recommend actions"

💬 Conversation Persistence

Build on previous commands without repeating context:

User: "Analyze sentiment for column B"
Agent: Done! Found 45% positive, 30% neutral, 25% negative.

User: "Now categorize the negative ones by topic"  
Agent: [Remembers context, processes only negative rows]

🎯 Output Format Control

Get results exactly how you need them:

• JSON objects for structured data
• Lists/Arrays for multiple items
• Score + Reason for evaluations
• Yes/No + Confidence for decisions
• Custom formats for specific needs

🤖 Proactive Suggestions

After each task, the agent suggests relevant follow-up actions based on your data and workflow.

Tech Stack

Installation

Prerequisites

• Node.js 18+
• npm or yarn
• Supabase account
• API keys for AI providers (OpenAI, Anthropic, etc.)

Setup

# Clone the repository
git clone https://github.com/Ai-Quill/ai-sheeter.git
cd ai-sheeter

# Install dependencies
npm install

# Copy environment variables
cp .env.example .env.local

# Run development server
npm run dev

Environment Variables

# Supabase (REQUIRED)
SUPABASE_URL=your_supabase_url
SUPABASE_SERVICE_ROLE_KEY=your_service_role_key

# Encryption
ENCRYPTION_SALT=your_encryption_salt

# AWS S3 (for images)
AWS_ACCESS_KEY_ID=xxx
AWS_SECRET_ACCESS_KEY=xxx
AWS_REGION=ap-southeast-1
S3_BUCKET_NAME=xxx

# Stripe (optional)
STRIPE_SECRET_KEY=sk_xxx
STRIPE_WEBHOOK_SECRET=whsec_xxx

# Cron
CRON_SECRET=xxx
NEXT_PUBLIC_APP_URL=https://your-domain.com

API Reference

Core AI Endpoints

User Management

Async Jobs (Bulk Processing)

Payments

Project Structure

src/
├── app/
│   ├── api/                    # API routes (18 endpoints)
│   │   ├── query/              # Main AI query
│   │   ├── jobs/               # Async job queue
│   │   ├── stripe/             # Payment integration
│   │   └── ...
│   ├── globals.css             # Tailwind v4 theme
│   └── layout.tsx              # Root layout
├── lib/
│   ├── ai/
│   │   └── models.ts           # Unified AI model factory
│   ├── auth/
│   │   └── gating.ts           # Feature gating, credits
│   ├── cache/
│   │   └── index.ts            # Response caching
│   ├── prompts/
│   │   └── index.ts            # System prompts
│   ├── stripe/
│   │   └── index.ts            # Stripe client & pricing
│   └── supabase.ts             # Database client
├── components/                 # React components
└── pages/                      # Pages (legacy)

Use Cases

📊 Sales Pipeline Intelligence

Turn messy CRM notes into actionable insights:

• Extract buying signals and blockers
• Score deal priority (Hot/Warm/Cold)
• Generate personalized follow-up recommendations

💬 Customer Feedback Mining

Analyze feedback at scale:

• Sentiment analysis (Positive/Neutral/Negative)
• Theme extraction and categorization
• Priority scoring for product roadmap

🌍 Content Localization

Streamline translation workflows:

• Translate content to multiple languages
• Adapt for cultural context
• Quality assurance checks

Contributing

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

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Support

• Website: aisheeter.com
• Install Extension: Google Workspace Marketplace
• Documentation: GitHub
• Issues: GitHub Issues
• Twitter: @tuantruong

License

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

Made with ❤️ by Ai-Quill

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