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

Brendon.BOT has featured 19 items on production AI across 4 formats — 8 videos, 5 books, 3 podcast episodes, 3 insights. The strongest is "AI Engineering: Building Applications with Foundation Models" by Chip Huyen, scored 9.5.

• 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)
• Agentic AI Frameworks Explained: Workflows, Multi-Agent, & Production — IBM Technology (video, scored 9.2)
• What is an Agent Harness? (And How We Built One) — AWS Developers (video, scored 9.2)
• The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory — AI Engineer (video, scored 9.2)
• Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal — Latent Space (podcast episode, scored 9.2)
• Building Production-Ready RAG Applications: Jerry Liu — AI Engineer (video, scored 8.8)
• Build a Large Language Model (from Scratch) — Sebastian Raschka (book, scored 8.75)
• Dynamic Agent Workflows Need Budgets and Observable Phases (insight, scored 8.7)
• Agent Safety Depends on Both the Policy and the Harness (insight, scored 8.7)
• The Production AI Playbook: Deploying Agents at Enterprise Scale — Sandipan Bhaumik, Databricks — AI Engineer (video, scored 8.5)
• From Chaos to Choreography: Multi-Agent Orchestration Patterns That Actually Work — Sandipan Bhaumik — AI Engineer (video, scored 8.4)

Measured from this site's own curation data, as of 2026-10-24. Every figure above is read from what the pipeline recorded — see how it works.