How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc. They also explore what it takes to drive AI adoption across an entire organization, the importance of neutral standards, global...

Discover what an AgentOps dashboard should reveal about AI agent cost, latency, and failures. Learn the key metrics, execution traces, and observability signals teams need to improve agent reliability and performance in production.

Job titles routinely undercount what employees can actually do, especially in fast-moving technical roles.   In this episode, Cory Hymel, Head of Research at Andela, explores why mapping skills instead of roles gives leaders a far more accurate picture of workforce capability and AI readiness.   The conversation covers how continuous skills assessment, rather than one-time...

A quarter of enterprise teams have gotten a single AI channel into full production — the rest are stuck somewhere behind it. In this episode, Arun Chandra, Chief Operating Officer at NiCE, explores why that gap persists and what closes it.   The conversation covers getting data, knowledge, and organizational context ready for scale, building the financial case for AI investment...

The quarterly infrastructure bill comes in at nearly four times the forecast. An AI agent has been retrying failed tasks and consuming resources within the permissions and spending limits it was given. Elsewhere, an agent runs a workflow outside its approved scope, or the wrong employee sees data they shouldn’t. The executive sponsor gets the... The post Agentic AI guardrails: what...

AI agents are everywhere right now. You hear terms like tool calling, agent loops, MCP, guardrails thrown around as if its common language… it isn’t! But that is about to change. Agentic AI isn’t nearly as complicated as it sounds once you understand the few core ideas that actually matter. Here are 10 agentic AI concepts […] The post 10 Essential Agentic AI Concepts Explained Simply...

Reading Time: 5 minutesExecutive Summary: Specification-driven integration development bridges rapid natural-language prototyping (“vibe coding”) and production-grade enterprise delivery. By defining structured specifications—covering interface contracts, security, error handling, and configurations—teams guide AI assistants like TIBCO BusinessWorks™ Design Assistant to generate reliable,...

DHH is the creator of Ruby on Rails, Omarchy Linux, CTO of 37signals, and a racecar driver. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep501-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript:https://lexfridman.com/dhh-2-transcript CONTACT LEX:Feedback – give feedback to Lex:...

From BARC’s 2026 Data Sovereignty survey of 320 organizations worldwide: how sovereignty has moved from a compliance requirement to a strategic condition for running data- and AI-driven processes at acceptable risk.

The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical report released today. The hack, which a group of agents undertook to find solutions for a cybersecurity test that they were stuck on, has confirmed some experts’…