Whether you call it a workflow or an agent, AI engineered applications are seeing user-input:LLM-call ratios go from 1:1 (ChatGPT) to 1:100 (Deep Research, Codex) and even 0:n (Ambient/Proactive agents). How does AI Engineering change as you build increasingly AI intensive applications? Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter Timestamps: 00:00 Conference Welcome and Overview 00:42 Conference Logistics and Growth 01:47 Audience Preferences and Survey 02:22 Innovations in AI Engineering (MCP and Chatbots) 02:58 Evolution of AI Engineering (Past Talks) 03:50 Simplicity in AI Engineering 04:17 AI Engineering as a Developing Field 05:23 Seeking the "Standard Model" in AI Engineering 06:02 Candidate Standard Models in AI Engineering 09:26 Human Input vs. AI Output (AI News Example) 11:05 SPADE Model for AI-Intensive Applications 12:29 Call to Action for Conference Attendees