Automate Google Sheets

How it works

1. 1.Receive incoming requests through webhook and route to AI agent
2. 2.Split incoming texts and convert them to numerical embeddings using Cohere
3. 3.Store embeddings in Supabase vector store and retrieve contextually relevant information
4. 4.Maintain conversation history using buffered memory for agent context
5. 5.Direct agent to perform Google Sheets operations based on user requests
6. 6.Log results and updated data back to the spreadsheet

Use cases

• Update and add data to Google Sheets using natural language commands
• Execute intelligent searches across large datasets using embeddings and vector retrieval
• Automate data summaries and reports from Google Sheets with full context preservation
• Build interactive workflows connecting spreadsheet data with external systems

Requirements

• OpenAI API key for language model operations
• Supabase account for vector database storage and management
• Authorized Google Sheets connection with read and write permissions
• Cohere API key for text embedding generation

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.