What should I read, watch and listen to about production AI?

Brendon.BOT has featured 13 items on production AI across 4 formats — 6 videos, 4 books, 2 podcast episodes, 1 insight. The strongest is "AI Engineering: Building Applications with Foundation Models" by Chip Huyen, scored 9.5. Every item was surfaced independently by more than one expert community before it earned a place.

• AI Engineering: Building Applications with Foundation Models — Chip Huyen (book, scored 9.5)
• CNCF On-Demand: Cloud Native Inference at Scale - Unlocking LLM Deployments with KServe — CNCF [Cloud Native Computing Foundation] (video, scored 9.3)
• The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory — AI Engineer (video, scored 9.2)
• What Chess.com Teaches US About Superhuman Capabilities, with CEO Erik Allebest — No Priors (podcast episode, scored 8.8)
• Build a Large Language Model (from Scratch) — Sebastian Raschka (book, scored 8.75)
• The Harness Is the Product, Not the Model (insight, scored 8.7)
• The Production AI Playbook: Deploying Agents at Enterprise Scale — Sandipan Bhaumik, Databricks — AI Engineer (video, scored 8.5)
• Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize — AI Engineer (video, scored 8.3)
• Designing Machine Learning Systems — Chip Huyen (book, scored 8.25)
• The A.I. Mob That Attacked Hugging Face + METR’s Ajeya Cotra — Hard Fork (podcast episode, scored 7.9)
• From Primitives to Production: How Anthropic Builds Agents — Databricks (video, scored 7.8)
• The Alignment Problem — Brian Christian (book, scored 7.5)

Measured from this site's own curation data, as of 2026-09-06. Every figure above is read from what the pipeline recorded — see how it works.