Stop chasing the latest model—build the data, workflows, and evals that actually deliver value. Original: 1 hour → Condensed: 5 minutes. In this short summary, Lenny Rachitsky and AI engineer Chip Huyen (with insights from Brendan Foody, Garrett Lord, Jason Droege, Mike Krieger, Hamel Husain, and Shreya Shankar) distill a pragmatic playbook for artificial intelligence and machine learning product teams. Learn why talking to users, building better data, and optimizing prompts and UX often beat swapping models; the practical differences between pre-training, fine-tuning, distillation, and RLHF; when retrieval-augmented generation (RAG) helps and how chunking, QA pairs, and metadata improve results; and how to design high-value evals. Chip also covers system thinking, org changes, productivity impacts, and business questions around model and data economics—essential listening for startups, product leaders, and engineers working on AI features. Listen now to get the key ideas in minutes.
