Built an SDK to make any chatbot proactive
https://autoplayai.mintlify.app/quickstart
We built it to give AI agents & chatbots real-time product context:
- what the user is doing,
- what they’re trying to do,
- where they stalled,
and what step they missed.
so instead of answering with a generic help article after the fact, your chatbot can actually respond to the moment.
we think the future is not a chatbot that waits. it is an agent that knows what is happening in the product while it is happening.
If you’re working on this problem and want to test it with us, comment or message me. link in the comments or join our slack: https://join.slack.com/t/autoplay-ai-dev/shared_invite/zt-3uslbaddx-UT2Cl18BGiLkeMwJ439ppg
Interesting — proactive bots sound powerful if done right.
Curious, when these bots start more conversations, how are you thinking about making sense of all that input?
I’ve seen teams end up with a lot of fragmented insights from chats, but struggle to turn that into clear patterns or actions.
Are you seeing that yet or still early?
“This is a really important shift — most ‘AI support’ tools still behave like post-hoc responders, while the real value is in understanding state inside the product loop, not just the question after it’s asked.
The interesting part here is less ‘chatbot intelligence’ and more event-level context + user journey reconstruction — what happened before the user asked for help is usually more valuable than the query itself.
You should test this thinking in a live setting as well — we’re running a small round where builders explore real-time agent + infra ideas like this. $19 entry, winner gets a Tokyo trip (flights + hotel).
Round 01 just opened (100 cap) — best odds right now.”