AI Assistant for Cyclists: Meet BAIK

In this episode of AI Engineer Spotlight, Adam sits down with Jing Lin, an AI builder and founder creating BAIK: a voice-powered cycling assistant that helps riders navigate cities safely without looking at their phones. Born from Jing Lin’s real-life cycling accident in San Francisco, BAIK uses a multi-agent AI architecture built with Crew AI and Weaviate to process real-time navigation, understand user preferences like “avoid hills,” and locate nearby bike-sharing stations, all through natural voice interactions. Find out how this project combines voice technology, vector databases, and semantic search to make urban cycling safer and smarter. 👉 Explore Baik: https://github.com/jinglin-1/baik-ride-voice 👉 Jing Lin Lee: https://www.linkedin.com/in/jinglinlee/ 👉 Learn more about Weaviate: https://weaviate.io Don’t forget to like, share, and subscribe for more stories from the builders shaping the future of AI. 00:00 – Welcome to AI Engineer Spotlight 00:19 – Meet Jinglin: AI builder & founder 00:51 – The cycling accident that started it all 01:28 – Introducing BAIK: A voice-powered cycling assistant 01:49 – How BAIK keeps cyclists’ eyes on the road 02:01 – The multi-agent AI system explained 02:23 – How Weaviate stores and understands user preferences 02:53 – Live demo: Finding routes and bike stations by voice 03:46 – Discussing safety and design philosophy 04:03 – Future ideas for smarter, personalized cycling routes 04:50 – Adam’s reflections on the project 05:09 – Closing thoughts and call to action