Person profile
Founder; Product Designer at Superdesign Dev.
Tools Jason Zhou has publicly discussed or demonstrated using. Curated by Magpie's editorial team from podcasts, posts, and public stacks.
Jason Zhou runs the AI Jason YouTube channel sharing AI experiments and product builds. He's a product designer at Superdesign Dev based in Sydney. Content covers AI agents, AI-native design tools and product launches built end to end with AI.
Zhou has built an entire content pillar around LangChain on the AI Jason YouTube channel and his personal site, with a dedicated LangChain tutorial series covering how to build LLM applications and agent workflows. He repeatedly pairs LangChain with other primitives (Hugging Face for models, ElevenLabs for voice) in step-by-step tutorials that show working integrations. LangChain is the framework backbone of his AI experiments.
Zhou teaches Hugging Face as the model hub access path for free LLM building. His tutorial 'Hugging Face + Langchain in 5 mins' walks through using 200K+ open-source models inside LangChain agents, framing Hugging Face as the open-source model gateway for AI builders who don't want to pay for closed-source APIs.
Zhou uses ElevenLabs for text-to-speech in his AI agent and AI companion builds. His full tutorial pairing ElevenLabs with LangChain demonstrates how to wire voice generation into a working LLM application end to end. He frames ElevenLabs as the voice layer for any agent that needs to talk back.
Zhou was head of product design at Relevance AI before founding Superdesign Dev, and continues to teach the platform on his AI Jason channel. His tutorials demonstrate how to build personalized AI agents end to end on Relevance AI's no-code surface, framing it as one of the best AI chain builders for non-engineers. His coverage carries unusual weight given the prior employment.
Last researched May 10, 2026
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