Build a real-time context aware copilot that can then proactively assist your users on your software and get them to value in a couple lines of code: https://autoplayai.mintlify.app/quickstart
Join our slack community for tips and best practices: https://join.slack.com/t/autoplay-ai-dev/shared_invite/zt-3uslbaddx-UT2Cl18BGiLkeMwJ439ppg
Interesting — reducing copilot integration to just a few lines is a strong unlock, especially for early-stage products trying to improve activation.
Curious though — beyond assistance, how are you thinking about helping teams validate whether users are actually reaching ‘value’ faster? That’s usually where most drop-offs happen.
I’ve been seeing some builders run small, high-intent experiments (fixed low entry, limited slots, strong upside) alongside tools like this to quickly test user behavior + demand — works surprisingly well for early traction.
Feels like something like this could complement what you're building. Have you explored that layer?