import * as sl from 'sticklight';// Authenticate with your API keysl.init("your-api-key");// Publish an eventsl.capture("user_started_chat", { user_id: "user_123", message: "I need help with your new feature", // ... Any other data you want to track});
It’s important to identify users in order to track their behavior across different sessions.
It’s encouraged to identify users early on in your application, ideally right after authentication.
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import * as sl from 'sticklight';sl.identify("user_123", { name: "John Doe", email: "john.doe@example.com",});
sl.identify stores the information it receives in the current session, and automatically adds it to the payload of all events captured during that session.
Sticklight provides precise and actionable analytics for AI-powered products, giving product managers and developers deep insights into how users interact with their AI features. Our platform helps you:
Understand user patterns and behaviors in LLM interactions
Identify where users struggle and detect critical issues in real-time
Make data-driven decisions for your AI product roadmap
Think of it as product analytics, but specifically designed for the unique challenges of AI applications. Whether you’re running a support chatbot, internal agentic architecture, or any other LLM-oriented product, Sticklight instills deep confidence and clarity in your product decisions.