AI Engineer

Ali Hasnain  • Peerlist

<h3>We built Chatbix AI after watching support teams fight the same battle every day: <br>1. Customers ask the same questions repeatedly 2. Answers live across docs, policies, and scattered knowledge 3.Hiring more agents does not scale the way the business scales 4. Existing bots feel generic, fragile, and hard to maintain Our goal was simple, make support automation usable by non engineers, without sacrificing quality. How we approached it: 1. No code builder so any team can ship an agent 2. Knowledge base first, train on your actual content, not generic replies 3. Real deployment, not a demo, embed on your site and connect channels 4. Human handoff so you never lose high intent or complex cases 5. Iteration loop, improve answers by updating the source knowledge What makes this launch different: 1. Fast setup, connect your content and go live quickly 2. Multi agent support for different products, brands, or departments 3. Multilingual out of the box for global support 4. Integrations through APIs and automations for routing and workflows We are launching today and would love feedback from the Product Hunt community: 1. What channels should we prioritize next 2. What would make you switch from your current support stack 3. Which features would you consider must have for an AI support agent Drop your questions, we will answer everything and share behind the scenes details.</h3>