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Documentation Index

Fetch the complete documentation index at: https://developers.autoplay.ai/llms.txt

Use this file to discover all available pages before exploring further.

Pipe live user behavior from the Autoplay SDK directly into your Crisp AI chatbot for real-time, context-aware support.

✨ Final result

A new user is exploring the app for the first time. They’ve clicked through the Dashboard, opened the Reports tab, and hovered over a few chart elements β€” but haven’t created anything yet. Then they open the chat widget and ask a question.
User: How do I get started?

Bot: Welcome! You can create projects, view reports, and manage your
team from the main menu. Let me know if you need help with anything!

(Generic onboarding reply. No idea where the user is or what they've
already tried. Doesn't move them forward.)

πŸ“‹ Prerequisites

Complete the Quickstart. You should have:
  • PostHog in the browser β€” snippet, API key, product_id on identify (and email after login if you use it)
  • Connector credentials β€” URL, API token, stream URL (e.g. https://your-connector.onrender.com/stream/ plus your product id from the dashboard)
  • autoplay-sdk installed β€” and a successful test stream from the Quickstart
  • A Crisp account β€” with Plugin-tier API access enabled

The building blocks

Follow the steps in order β€” each page stands alone so you can ship incrementally.
  1. Connect real-time events β€” Set up the webhook server and event listener so Crisp replies with real-time context.
  2. Define proactive triggers β€” Proactively message users in Crisp based on what they’re doing in your product. (Coming soon)