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Episodes


OpenAI on Securing Code-Executing AI Agents — Fouad Matin (Codex, Agent Robustness)

Evaluating AI Search: A Practical Framework for Augmented AI Systems — Quotient AI + Tavily

Scaling Enterprise-Grade RAG: Lessons from Legal Frontier - Calvin Qi (Harvey), Chang She (Lance)
Building effective Retrieval-Augmented Generation (RAG) systems for the legal sector requires addressing significant challenges in data scale, query complexity, and domain-specific jargon. Successful implementation relies on a tiered evaluation strategy, balancing automated quantitative metrics with expert-led qualitat...

Building Alice’s Brain: an AI Sales Rep that Learns Like a Human - Sherwood & Satwik, 11x

Layering every technique in RAG, one query at a time - David Karam, Pi Labs (fmr. Google Search)

Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai

[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search)
The podcast features two main speakers, along with contributions from audience members, focusing on the challenges and methodologies of evaluating AI systems, particularly Large Language Models (LLMs). The discussion covers the importance of evals, the difficulties in defining metrics, the labor-intensive nature of the...

Make your LLM app a Domain Expert: How to Build an Expert System — Christopher Lovejoy, Anterior

Shipping Products When You Don't Know What they Can Do — Ben Stein, Teammates

Shipping something to someone always wins — Kenneth Auchenberg (ex. Stripe, VSCode)

Why your product needs an AI product manager, and why it should be you — James Lowe, i.AI

Everything is ugly, so go build something that isn't — Raiza Martin, Huxe (ex NotebookLM)

Building the platform for agent coordination — Tom Moor, Linear

What Is a Humanoid Foundation Model? An Introduction to GR00T N1 - Annika & Aastha

Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind

Scaling AI Agents Without Breaking Reliability — Preeti Somal, Temporal

Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger
Kyle and Jeremy from Dagger conduct a workshop on building AI agents using Dagger, a container runtime and workflow engine. They guide participants through installing Dagger, creating a CI pipeline, and adding an AI agent to an existing project. The agent is designed to develop new features for a Vue.js website, with c...

The AI Engineer’s Guide to Raising VC — Dani Grant (Jam), Chelcie Taylor (Notable)

Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop) — Taylor Jordan Smith
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