Sentinel
LLM browser automation using 10x fewer tokens
LLM browser automation using 10x fewer tokens
LLM-powered browser automation
Uses AI models to understand and interact with web pages naturally, rather than relying on brittle selectors
Self-healing locators
Automatically adapts to minor changes in page structure without requiring manual updates
Parallel execution
Run multiple automation tasks concurrently for faster batch processing
Token-efficient
Uses Gemini Flash and similar models to reduce API costs compared to GPT-4o alternatives
OpenTelemetry support
Built-in observability and monitoring for tracking automation performance and debugging
Open-source
Code is publicly available, allowing inspection, modification, and self-hosting
Web scraping and data extraction from dynamic websites without writing brittle CSS selectors
Automated testing of web applications using natural language instructions
Monitoring and alerts for changes across multiple websites
Form filling and data entry automation at scale
Screenshot and content collection for competitive analysis or archival