AI Engineer Summit Online 2025

2025 #ai

Videos

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