AE
AI Engineer
Episodes
- [Evals Workshop] Mastering AI Evaluation: From Playground to Production
- Intro to GraphRAG — Zach Blumenfeld
- Securing Agents with Open Standards — Bobby Tiernay and Kam Sween, Auth0
- The emerging skillset of wielding coding agents — Beyang Liu, Sourcegraph / Amp
- Agents, Access, and the Future of Machine Identity — Nick Nisi (WorkOS) + Lizzie Siegle (Cloudflare)
- Turning Fails into Features: Zapier’s Hard-Won Eval Lessons — Rafal Willinski, Vitor Balocco, Zapier
- Building voice agents with OpenAI — Dominik Kundel, OpenAI
- Containing Agent Chaos — Solomon Hykes, Dagger
- Evals 101 — Doug Guthrie, Braintrust
- Why should anyone care about Evals? — Manu Goyal, Braintrust
- Engineering Better Evals: Scalable LLM Evaluation Pipelines That Work — Dat Ngo, Aman Khan, Arize
- To the moon! Navigating deep context in legacy code with Augment Agent — Forrest Brazeal, Matt Ball
- Serving Voice AI at Scale — Arjun Desai (Cartesia) & Rohit Talluri (AWS)
- Ship it! Building Production Ready Agents — Mike Chambers, AWS
- Introducing Strands Agents, an Open Source AI Agents SDK — Suman Debnath, AWS
- Data is Your Differentiator: Building Secure and Tailored AI Systems — Mani Khanuja, AWS
- How to build world-class AI products — Sarah Sachs (AI lead @ Notion) & Carlos Esteban (Braintrust)
- From Mixture of Experts to Mixture of Agents with Super Fast Inference - Daniel Kim & Daria Soboleva
- Forget RAG Pipelines—Build Production Ready Agents in 15 Mins: Nina Lopatina, Rajiv Shah, Contextual
- Milliseconds to Magic: Real‑Time Workflows using the Gemini Live API and Pipecat