Introductions - jxnl.co
Currently working as an independent consultant. I use my expertise in recommendation systems to helps fast-growing startups build out their RAG applications. I am also the creator of Instructor, Flight, and an ML and data science educator. If you have general questions for me trying something new, so just make an issue and tag it with question. I'll try to answer it in a blog post. IF you want to work with me, I am available for consulting and advisory services. I can help you with your recommendation systems, AI engineering, and data science needs.
What's up?¶ Jason Liu here. These days, I'm a Developer Experience Engineer on the Codex team at OpenAI. Most of this site is about building AI systems, open source, consulting, and sometimes the more personal stuff. Some posts are about RAG, agents, evals, and product work. Others are about RSI, self-worth, ambition, and trying not to confuse productivity with being a person. That's on purpose. Also: creator of Instructor, a Python library for structured LLM outputs that OpenAI cited as inspiration for their structured output feature. If you want to keep up with new posts, follow on…
saved by
related reading
- The 2025 AI Engineering Reading List - Latent.Spacelatent.space
- LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
- Patterns for Building LLM-based Systems & Productseugeneyan.com
- Effective context engineering for AI agents \ Anthropicanthropic.com
- Building Effective AI Agents \ Anthropicanthropic.com
- GenAI Handbookgenai-handbook.github.io
- Towards Data Sciencetowardsdatascience.com
- Code a simple RAG from scratchhuggingface.co
- Rajan Agarwalrajan.sh
- 🚀 Get Started - Ragasdocs.ragas.io
- AI Engineering from Scratchaiengineeringfromscratch.com
- What is Retrieval Augmented Generation (RAG)? | Databricksdatabricks.com