Podcast
The Enterprise AI Show
Hosted by Massive Studios · EN
The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]
As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.
New shows every Wednesday and Sunday.
Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing
66episodes
Episodes
Newest firstAll episodes
Living the Claude-centric Life
Mar 2500:36:56Tap to summarizeSUMMARY: With @bwhichard, we dig into how daily work-life changes when you make @AnthropicAI @claudeai the center of all workflow activities. SHOW: 1013SHOW TRANSCRIPT: The Reasoning Show #1013 TranscriptSHOW VIDEO: https://youtu.be/zEmEH0t67jsSHOW SPONSORS:VENTION - Ready for expert developers who actually deliver?Visit ventionteams.comSHOW NOTES:Topic 1 - How long have you been living the Claude-life, and when did it dawn on you to make this central to your day-to-day activities? Topic 2 - What were the biggest hurdles you had to overcome before you trusted the system and started letting it have ownership over tasks and workflows?Topic 3 - What are some of your best practices in terms of machine setup, how or where you store data, how you decide what to give it access to? Walk me through your thoughts around things like keeping things simple, where to be complex, how you think about security, etc.Topic 4 - How are you learning to give it more responsibilities, or just figure out new ways to be productive with it? Good resources you’re pulling from? Any tips to make it use less tokens?Skills marketplaces?Topic 5 - What have been some of the biggest barriers to successful adoption, or just areas where you’re still struggling to get it to do the things you want? Or are you still in the learning curve stage and things just keep growing on one another?Topic 6 - If you took the knowledge and skills you have now in Claude-life into your day-job, how do you see yourself working, as well as working with the rest of your team/teams? Would it bother you if you didn’t think they were using AI tools as much? FEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →NVIDIA’s Open Software Trap: The Real Cost of the New Inference Stack
Mar 2200:28:00Tap to summarizeSUMMARY: We dig into the NVIDIA GTC keynote and highlight three things - accelerated computing for everything, the complexity of the new inference stack, and NVIDIA’s “open” software stack including NemoClaw.SHOW: 1012SHOW TRANSCRIPT: The Reasoning Show #1012 TranscriptSHOW VIDEO: https://youtu.be/aXOr91q76yMSHOW SPONSORS:VENTION - Ready for expert developers who actually deliver?Visit ventionteams.comSHOW NOTES:NVIDIA GTC 2026 (Keynote)NVIDIA NemoClaw - OpenClaw + OpenShell + NVIDIA Agent ToolkitNVIDIA adds Groq LPU to their rack systemsNVIDIA to invest $26B in Open Weight ModelsInterview with Jensen about Accelerated Computing (Stratechery)Topic 1 - Jensen’s trying to paint the bigger picture of accelerated computing everywhere (robotics, autonomous driving, gen-ai, physical ai - but also just everyday enterprise apps). Everything is about keeping the stock price up, and margins high. The stock price provides the warchest to fight off all foes. Topic 2 - The inference architecture is a complex mix of GPUs, CPUs, ASICs/LPUs, high-speed networking and seems very different from the training architecture. How big is the burden on data center providers? What are the inference alternatives emerging? Topic 3 - Jensen talked a lot about OpenClaw and eventually about NVIDIA’s NemoClaw. How does his interest in Agentic AI tie into his interest in building NVIDIA’s own frontier modelFEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →Kagenti - A Kubernetes Control Plane for AI Agents
Mar 1800:40:35Tap to summarizeSUMMARY: Morgan Foster talks about the Kagenti project, which enables an AI Agent agnostic framework for security, authentication, identity and zero-trust.SHOW: 1011SHOW TRANSCRIPT: The Reasoning Show #1011 TranscriptSHOW VIDEO: https://youtu.be/djFZruLEDiwSHOW NOTES:Kagenti (homepage)Kagenti (use-cases)“Old Things that look like Agents”“What makes Agents different?”CNV - What Makes Agents Different?“Handing your phone to a stranger, why Agents need their own identity”Topic 1 - Welcome to the show. Tell us a little bit about your background and areas you focus on today. Topic 2 - Tell us a bit about the Kagenti project and the types of challenges it’s trying to solve for Agentic AI deployments. Topic 3 - How much commonality exists between different Agentic frameworks that a common, agnostic agentic orchestration approach can work? And how much difference still exists and would drive companies to silo’d deployments? Topic 4 - How far should an Agentic Orchestration framework go, and what types of things do you expect will still be Agentic framework dependent? Is Kagenti more of a control-plane element, or more of a data-plane element? Topic 5 - As Kagenti evolves, what are some of the adjacent things that people should be keeping an eye on that might be a dependency, or could shift the direction of the project?FEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →Code Red - All Jobs are Software
Mar 1500:21:03Tap to summarizeSUMMARY: Brian talks about the rapidly expanding gap between people and companies that augment their work with AI and those who are making AI the center of their work world. SHOW: 1010SHOW TRANSCRIPT: The Reasoning Show #1010 TranscriptSHOW VIDEO: https://youtu.be/tFyLlCnkbsMSPONSORS:VENTION - Ready for expert developers who actually deliver?Visit ventionteams.comSHOW NOTES:WHY THE NEED FOR A CODE RED? Velocity of Code (new companies)Velocity of Productivity (employees)Velocity of Analysis (strategy)AgentOpsToken FactoriesDevs for Business, Re-Wiring the Concept of Business AnalystFEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →Inside OpenClaw and Open Source Innovation
Mar 1100:25:55Tap to summarizeSUMMARY: Sally O’Malley (Principle Software Engineer @RedHat, Maintainter @OpenClaw) talks about her early experiences of immersing herself into OpenClaw and evolution of the OpenClaw community.SHOW: 1009SHOW TRANSCRIPT: The Reasoning Show #1009 TranscriptSHOW VIDEO: https://youtu.be/7xARBtgiMQgSPONSORS:VENTION - Ready for expert developers who actually deliver?Visit ventionteams.comSHOW NOTES:OpenClaw - Personal AI AssistantOpenClaw - RedditOpenClaw, OpenAI and the Future (Peter Steinberger - OpenClaw creator)OpenClaw Foundation (coming soon)Topic 1 - Welcome to the show. Tell us a little bit about your background in software engineering. Topic 2 - You recently jumped into the deep end of the pool with OpenClaw. Tell us about the week of immersion with this new technology. What did you go into it thinking about?What did you learn, what did you create?What new sorts of things did you have to try?Topic 2a - For anyone that’s new to OpenClaw, can you give us the basics of what OpenClaw does?Topic 3 - You mentioned that this is a very different (or completely different) paradigm of how software is created. Can you walk us through the differences, your observations, how you had to really rethink things that you did before and after?Topic 4 - In your day job, you’re focused on software that’s used by large enterprises that have to be concerned with security and stability, as much as they do innovation. How do you see the existing OpenClaw fitting into that world? How do you expect that OpenClaw might need to change?How do you expect that enterprises might need to change to adapt to this new capability that might be unleashed with their employees?Topic 5 - You (very) recently were accepted as a committer to the OpenClaw project. I know it’s only been a few days, but what is opening your eyes about how this community operates, especially in comparison to other open projects you’ve worked on? We could probably have an entire podcast on AI development in open communities.FEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →Understanding NeoClouds with Crusoe
Mar 800:27:40Tap to summarizeErwan Menard - SVP Product Management @CrusoeAI talks about the evolution of NeoClouds, the challenges of matching the speed of data centers, GPUs and software, and how everything is evolving to megawatts and tokens. SHOW: 1008SHOW TRANSCRIPT: The Reasoning Show #1008 TranscriptSHOW VIDEO: https://youtu.be/eA8vpPmSW0YSPONSORS:VENTION - Ready for expert developers who actually deliver?Visit ventionteams.comSHOW NOTES:Topic 1 - Welcome to the show. Tell us a bit about your background, and what you focus on now at Crusoe. Topic 2 - There has obviously been a lot of coverage of AI data center buildouts all over the world for the last few years. Tell us about Crusoe, and your approach to providing “neocloud” services. Topic 3 - What are the biggest challenges facing Crusoe today and in the immediate future - is it technology, energy, financing for expansions, etc.?Topic 4 - Crusoe started as a bitcoin-focused company and has evolved to more of a GenAI-focus. What types of architectural changes did you have to make for this new type of workload? And how do those impact the quality of the services your customers expect from Crusoe?Topic 5 - Is your focus more on environments to enable model training and customization, or more focus on inference for customer-facing applications? Topic 6 - A lot has changed in AI in the last couple years. What has changed the most in the last couple years, and what are you expecting to change the most over the next couple years? Topic 7 - Sovereign AI and Private AI have become much bigger topics over the last 12-18 months, and we’d expect that to grow. What unique things is Crusoe doing to adapt to these changing requirements from customers?FEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →What is an AI Agent?
Mar 400:26:24Tap to summarizeOVERVIEW: Welcome to The Reasoning Show! We dig into one of the foundational building blocks of modern Generative AI, the AI Agent. So what is an AI Agent, and what do we need to think about for the next couple years? SHOW: 1007SHOW TRANSCRIPT: The Reasoning Show #1007 TranscriptSHOW VIDEO: https://youtu.be/4tdj0S0AyhMSHOW SPONSOR:VENTION - Ready for expert developers who actually deliver? Visit ventionteams.comSHOW NOTES:Topic 1 - We’re 3+ years into the Generative AI era. Why do you think AI Agents, or Agentic AI, is now getting so much attention? Topic 2 - If someone asked you to explain what an AI Agent is, how would you do that? Topic 3 - What are some of the core elements of AI Agents that you’re seeing impact how people think about and use agents?How to define tasksLanguages and frameworksAbility to orchestrate multiple agentsHuman-in-the-Loop vs. AutonomousOther?Topic 4 - AI Agents are going to spark the great “how much should I pay for this?” discussion. Have you given this any thought yet? Topic 5 - How do you expect to use AI agents in your day-to-day work, and how do you expect this to impact Enterprise businesses?ESSENTIAL READINGBuilding Effective Agents" by Anthropic: designing agents with tools, memory, reasoning loopsA Comprehensive Review of AI Agents: how agents perceive, reason, decide, actTop 20 AI Agent Concepts You Should Know: covering ReAct, Chain of Thought, memory typesAI Agents in Action: Foundations for Evaluation and Governance: structured foundation for safety aspects of agent deploymentEssential ViewingAI Agentic Design Patterns w/ AutoGen: build autonomous agents that use toolsAI Agent Systems w/ crewAI: orchestrating teams of agentsLangGraph Course: how to build stateful, reliable agentsFrameworks & Tools LangGraph: standard for complex, stateful agents (nodes, edges, loops)CrewAI: Best for structured task delegation and multi-agent collaborationAutoGen: Microsoft's framework for multi-agent conversational systemsModel Context Protocol (MCP): standard for connecting agents, tools, datan8n: no-code/low-code visualFEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →AI & Cloud News of the Month - Feb 2026
Feb 2800:42:03Tap to summarizeThis episode marks the transition from The Cloudcast to The Reasoning Show, focusing more on AI and cloud topics. Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss recent trends in AI, the evolution of tech teams, and the shifting landscape of enterprise AI tools.SHOW: 1006SHOW TRANSCRIPT: The Cloudcast #1006 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SHOW NOTES:Link to February 2026 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpodFEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →How The Cloudcast is changing in 2026?
Feb 2500:17:45Tap to summarizeAaron and Brian discuss how The Cloudcast will be changing going forward, signaling an industry shift from Cloud Computing to AI. SHOW: 1005SHOW TRANSCRIPT: The Cloudcast #1005 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SHOW NOTES:Topic 1 - What are we announcing? (“The Reasoning Show”, a.k.a. “Reasoning”)New name, same RSS feeds (same podcast players)New logoSome existing/renamed and some new social media channels (will be listed)Same co-hosts (and maybe some new friends)Topic 2 - Why are we changing The Cloudcast?The majority of our content is AI focused nowCloud has become mostly stable, AI is at the beginning and so much is changingWe’re not abandoning Cloud, just giving it the amount of coverage needs (monthly Cloudcast, monthly CNOTM)Social media algorithms have changed audience acquisitionTopic 3 - Hasn’t The Cloudcast already been covering AI for a while? Yes, it’s been about 50/50 since 2024We’ve been discussing this change for almost a year. We actually discussed having an OpenAI-specific podcast at one point, but so much as changed in the market (which is a good reason for a diverse podcast)Topic 4 - What can we expect from the new podcast?Still on Wednesday and SundayBoth audio and video formats (Apple, Spotify, YouTube, TikTok/Insta (clips))Trying to make it easier for someone new to follow along - more concentration around core topics, but not exclusivelyAI Technology, AI Economics, AI Trends, AI (Business) Use-Cases, AI Things to Watch, AI Productivity, AI RegulationWe’ll still do a “Cloudcast” once a month, as the Cloud underpins almost everything AIWe’ll likely do a “Reasoning Basics” spin-off, like Cloudcast Basics. We’ll get a newsletter pulled together (hopefully weekly). Topic 5 - Anything else?Listeners don’t have to do anything to keep getting their week podcastSubscribe to the social media channels (show notes)Leave a 5-star review on the podcast playersTell a friend to check out the showFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpodFEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →What's Your Token Budget?
Feb 2200:18:58Tap to summarizeThis episode explores the evolving economics of AI development, the rising costs associated with AI agents, and the implications for businesses and developers. It highlights the shift from centralized to decentralized computing, the importance of understanding token budgets, and the future of AI project management.SHOW: 1004SHOW TRANSCRIPT: The Cloudcast #1004 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"CHAPTERS00:00 - Celebrating Milestones and AI Insights02:48 - The Cost of AI Agents and Realizations06:05 - Centralization vs. Decentralization in AI08:51 - The Evolution of AI Economics12:03 - Future Trends in AI and Project Management14:52 - Connecting AI to Real-World EconomicsKEY TOPICS:AI agent costs and pricing modelsThe shift from centralized to decentralized computingToken budgets and project economics in AIHistorical transitions in computing infrastructureFuture trends in AI project managementSHOW NOTESWhen AI Tokens cost more than your employees Should you own (or generate) your own tokens? On running a startup of Claude Code agents: 1 Billion tokens a monthCan AI grow corn? WE'VE REACHED A POINT WITH AI WHERE PEOPLE ARE STARTING TO THINK ABOUT THE BUSINESS IMPACTSHow much should an AI project cost?How do we translate an AI token into some unit that a business can understand?How companies be their own AI token factories?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpodFEEDBACK?Email: show @ reasoning dot showBluesky: @reasoningshow.bsky.socialTwitter/X: @ReasoningShowInstagram: @reasoningshowTikTok: @reasoningshow
Transcribe →