16:25
How to trust code that AI wrote
Brian Casel makes the case that the code review bottleneck plaguing AI-assisted development teams is a symptom of micromanagement rat...
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21:20
18 Months of Pricing AI Automations in 21 Mins
Nate Herk, who built and sold an AI automation agency that reached over $100,000 per month in recurring revenue, shares 18 months of...
09:21
Loop engineer practice #1: Reddit loop grew 0 to 95 Karma in 7 days
AI Jason walks through a working Reddit engagement loop he built using AI agents, taking his account from negative karma to 97 karma...
22:29
My $100K ARR App Costs $4,198/Month to Run (Full Breakdown)
The founder of Yorby — an AI-powered social media marketing tool for startups — breaks down every line item of operating a $120K ARR...
33:39
AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflix
Rajat Shah, a staff software engineer at Netflix's AI Platform organization, delivers a practitioner's guide to using LLM agents for...
21:16
You Can Hand One AI Agent Your Worst Recurring Task. It Cleared 60% Of Mine.
Nate B. Jones presents a detailed walkthrough of how his team used AI to resolve 51 out of 52 customer support issues in a single wee...
21:39
Building Closed-Loop Evals for a Multimodal Agent at Scale — Soumya Gupta & Jai Chopra, Uber
Engineers Soumya Gupta and Jai Chopra from Uber's computer vision team walk through their production multimodal agent for Uber Eats f...
19:38
Learned Execution Graphs for Anomaly Detection & Drift in APIs — Ritvik Pandya, JP Morgan Chase
Ritvik Pandya, who leads the payments team at JP Morgan Chase, presented at AI Engineer on a production system built around what he c...
15:00
Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates
Subbiah Sethuraman and Abhilash Asokan from ZS Associates — a technology firm serving top pharmaceutical companies — deliver a candid...
16:10
You NEED to do this (HUGE AI SAVINGS)
Matthew Berman argues that the most effective AI users have moved beyond prompt engineering and are now focused on token-level optimi...
20:30
Your Moat Is Your Data Model — Mike Phipps, Gates Foundation
Mike Phipps from the Bill & Melinda Gates Foundation presented at AI Engineer on the Strategic Intelligence Platform (SIP) — an enter...
36:45
I Turned Codex Into a Business Growth Machine
Riley Brown walks through nine AI-powered marketing workflows inside Codex, a conversational agent platform, demonstrating how a smal...
11:21
Medic for Apache Spark – First Aid for Failing Jobs – Drasko Profirovic, Pinterest
Draško Profirović, staff engineer at Pinterest, presents Medic — a production agentic diagnostics tool built to automatically trouble...
26:27
Build the AI GTM Agent That Knows the Buyer – Dr. Sajjan Kanukolanu, Position2 (Position Squared)
Dr. Sajjan Kanukolanu, VP of Global Operations and Strategy at Position2, presents an AI-native GTM (go-to-market) architecture built...
16:41
Can Oncology Workflows Run Without Human Touch? – Anant Shankhdhar, Risa Labs
At the AI Engineer conference, Anant Shankhdhar from Risa Labs (operating as Trisca) presents how the company built a four-agent pipe...
21:57
We Gave an Agent Production Code Access and Then Tried to Sleep at Night — Moritz Johner, Form3
Moritz Johner from Form3, a financial infrastructure company, delivers a frank production case study at AI Engineer about building an...