AI Engineer Summit Online 2025

Videos

1 — Your Evals Are Meaningless (And Here’s How to Fix Them)
2 — Agent Evals: Finally, With The Map
3 — Keynote: Why people think "agent" is a buzzword but it isn't
4 — Lets Build An Agent from Scratch
5 — Building Multi agent Systems with Finite State Machines
6 — How to Build AI Agents that Actually Work
Patrick Dougherty
7 — Cohere: Building enterprise LLM agents that work
Shaan Desai
8 — The Hidden Costs of Building Your Own RAG Stack
Ofer Vectara
9 — Your AI Agent Isn't an Engineer: The Art of Thoughtful Anthropomorphism
10 — How Coding Agents change Software Development Forever
Hailong Zhang
11 — The LLM Triangle: Engineering Principles for Robust AI Applications -
Almog Baku
12 — Tool Calling Is Not Just Plumbing for AI Agents
Roy Derks
13 — Where AI is superhuman: The right jobs to automate with LLMs
14 — Your LLM Ran Out of Knowledge — Now What?
15 — Keynote: The AI developer experience doesn't have to suck – why and how we built Modal
16 — Stop Guessing: Build Robust AI with Layered CoT
17 — The Model Isn’t Wrong—You’re Just Bad at Prompting
18 — Privacy First Enterprise AI: Building AI Agents that Never Leave Your Security Boundary
19 — How to Improve Your Agents: Academic Lit Review
20 — OpenLLMetry is all you need
21 — Voice Agents: the good, the bad, and the ugly
22 — Mission-Critical Evals at Scale (Learnings from 100k medical decisions)
23 — Beyond APIs: How AI Web Agents Are Automating the "Long Tail" of Knowledge Work
24 — This video was edited with AI agent. But how?
25 — Don't just slap on a chatbot: building AI that works before you ask
26 — The Price of Intelligence - AI Agent Pricing in 2025
27 — WTF do people use Open Models for??
28 — AI Agents, Meet Test Driven Development
29 — Lessons from building GenAI based applications
Juan Peredo
30 — Reverse Conway's law and GenAI: How agents will take over the organisation
Patrick Debois