Uploaded October 2025 | Updated September 2026, 6 hours ago
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: github.com/jinglin-1/baik-ride-voice
👉 Jing Lin Lee: linkedin.com/in/jinglinlee
👉 Learn more about Weaviate: 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
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: github.com/jinglin-1/baik-ride-voice
👉 Jing Lin Lee: linkedin.com/in/jinglinlee
👉 Learn more about Weaviate: 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
