AI Engineer

OpenAI for VP's of AI + Advice for Building Agents

Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic

This episode explores the Model Context Protocol (MCP), an open protocol designed to standardize how AI applications interact with external systems and data sources. Against the backdrop of increasing fragmentation in AI system development, MCP offers a solution by providing a standardized interface for AI apps and ag...

AI Agents, Meet Test Driven Development

WTF do people use Open Models for??

This video was edited with AI agent. But how?

Voice Agents: the good, the bad, and the ugly

The Price of Intelligence - AI Agent Pricing in 2025

This podcast focuses on pricing strategies for AI agents, offering insights for businesses developing such products. The speaker, Chetesh, a co-founder and CTO, uses several company examples (Intercom, Unify, Cursor, ChargeFlow) to illustrate different pricing models, including outcome-based pricing and usage-based mo...

Don't just slap on a chatbot: building AI that works before you ask

Beyond APIs: How AI Web Agents Are Automating the "Long Tail" of Knowledge Work

Agent Evals: Finally, With The Map

Mission-Critical Evals at Scale (Learnings from 100k medical decisions)

Your Evals Are Meaningless (And Here’s How to Fix Them)

OpenLLMetry is all you need

Privacy First Enterprise AI: Building AI Agents that Never Leave Your Security Boundary

Stop Guessing: Build Robust AI with Layered CoT

How to Improve Your Agents: Academic Lit Review

The Model Isn’t Wrong—You’re Just Bad at Prompting

Tool Calling Is Not Just Plumbing for AI Agents — Roy Derks

Your LLM Ran Out of Knowledge — Now What?

Lets Build An Agent from Scratch — Kam Lasater

The talk centers on building AI agents without relying on existing frameworks, focusing on understanding the underlying components. It defines an agent as a combination of an LLM, memory, planning capabilities, tools, and a continuous loop. The discussion progresses through stages, starting with basic LLM calls and gra...