Shipping complex AI applications — Braintrust & Trainline

Getting a prototype working is straightforward. Making it reliable in production, especially with multi-step agents, tool use, and real users is the hard part. In this hands-on workshop, you'll work through the core parts of building production-grade AI applications with Giran Moodley, Mayank Soni, and Oussama Hafferssas. Socials:   / mayank-soni   https://x.com/OussamaHaff   / giran   Timestamps 0:00 - Introduction and Welcome 4:07 - Workshop Overview and Agenda 4:39 - Understanding AI Engineering and Operational Challenges 9:55 - Introduction to Braintrust 12:56 - Experience from Trainline 28:35 - Building the Support Triage Agent (Overview) 33:57 - Basic Implementation: Single Shot Prompting 40:32 - Adding Local Tools for Determinism 41:30 - Implementing Specialist Stages (Agentic Flow) 46:19 - Instrumenting and Tracing the Application 56:43 - Evaluating AI Systems and Golden Data Sets 1:05:07 - Deploying and Managing AI in Production 1:13:58 - Online Scoring and Monitoring Production Logs 1:19:13 - Identifying and Remediating Failure Modes 1:33:05 - Key Takeaways and Summary 1:36:58 - Further Resources and Documentation