Overview
This workflow automates the process of sending bank SMS alerts to a Telegram channel. It leverages AI and database technologies to ensure efficient and timely notifications.
Key Features
- Webhook Trigger: Captures incoming SMS alerts from the bank.
- Text Processing: Utilizes a Text Splitter to parse and structure SMS content.
- AI Embeddings: Employs OpenAI embeddings to enhance text understanding.
- Database Integration: Inserts and queries data in Supabase for storage and retrieval.
- AI Chat Model: Uses Anthropic's chat model for intelligent responses.
Benefits
- Real-time Notifications: Ensures immediate delivery of important financial alerts to Telegram.
- Enhanced Data Processing: AI-driven text processing improves accuracy and relevance of notifications.
- Scalable Solution: Easily adapts to handle increased SMS volume without manual intervention.
Use Cases
- Personal Finance Management: Keep track of bank transactions and alerts in a centralized Telegram channel.
- Business Monitoring: Businesses can monitor financial activities and receive alerts in real-time.
Automation Benefits
This workflow saves time by automating the manual task of checking SMS alerts and forwarding them to Telegram. It enhances productivity and ensures no critical financial information is missed.
Key Integrations
- Supabase: For efficient data storage and retrieval.
- OpenAI: For advanced text processing and understanding.