Podcasts about MCP

At VMware Explore in Las Vegas, the buzz wasn't just about generative AI, but about where and how it should run. My guest is Tasha Drew, Director of Engineering for the AI team in the VMware Cloud Foundation division at Broadcom, who has been at the center of this conversation. Fresh off the main stage, where she helped debut VMware's new Private AI Services and Intelligent Assist for VMware Cloud Foundation, Tasha joins me to unpack what these announcements mean for enterprises grappling with privacy, cost, and integration challenges. Tasha explains why private AI is resonating so strongly in 2025, outlining the three pillars that define it: protecting sensitive intellectual property, managing regulated or high-value data, and ensuring role-based control of fine-tuned models. She shares how organizations often start their AI journey in the public cloud, but as experimentation turns to production, cost pressures, data compliance, and proximity to data drive them toward private AI. We also dive into VMware's own evolution toward building an AI-native private cloud platform. Tasha highlights the journey from deep learning VMs and Jupyter notebooks to full AI platform services that empower IT teams to deliver models efficiently, save money, and accelerate deployment of retrieval-augmented generation (RAG) applications. She introduces Intelligent Assist for VMware Cloud Foundation, an AI-powered guide that helps teams navigate complex deployments with context-aware support and step-by-step instructions. Beyond the technology, Tasha reflects on the broader ecosystem shifts, from partnerships with NVIDIA and AMD to the role of Model Context Protocol (MCP) in breaking down integration barriers between enterprise systems. She believes MCP represents a turning point, enabling seamless workflows between platforms that historically lacked incentive to work together. This conversation captures a pivotal moment where private AI is moving from theory into enterprise adoption. For leaders weighing their next move, Tasha provides both the strategic framing and the technical insight to understand why private AI has become one of the most talked-about forces shaping enterprise IT today.

You got duped.The MIT '95 % of AI pilots fail' study has taken over the internet, and it's one of the worst studies I've ever read. (And I've read thousands.) ↳ So, what's the truth?↳ Is AI a bubble that's about to pop? ↳ Why is this study rubbish? ↳ And how does it impact you? Join us and we'll dish it all.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:MIT AI Study Claims 95% Failure RateBreakdown of MIT Study MethodologyImpact of Viral MIT AI Study HeadlinesFlaws in MIT Study ROI MeasurementComparison With Reputable AI ROI StudiesMIT Study's Biased Participant SelectionNanda Project Marketing in MIT ReportFive Major Red Flags in MIT AI ResearchBusiness Implications of Flawed AI Pilots DataHow Media Sensationalizes AI Study ResultsTimestamps:00:00 "MIT AI Study Critique"04:16 AI Investments Trigger Stock Market Decline06:37 "Host's Background Overview"10:58 Flawed AI Study Critique13:28 MIT Study Highlights AI Implementation Challenges18:58 AI Work Trends & ROI Insights20:17 "Crossing the Gen AI Divide"23:25 Flawed Study with Misleading Claims29:34 "Uncritical Reposting Spurs Fake Study"30:30 "Read Studies, Not Summaries"Keywords:MIT AI study, 95% AI pilot failure, enterprise AI pilots, generative AI ROI, AI pilot success rate, AI project failure, state of AI in business, gen AI divide, MIT Media Lab, AI investment, AI implementation challenges, AI return on investment, AI research methodology, AI study critique, AI marketing, Nanda project, AI vendor solutions, agentic web, MCP protocol, A2A protocol, Fortune article, AI media coverage, stock market impact, NVIDIA stock drop, Palantir, ARM stock, qualitative AI data, AI structured interviews, AI industry surveys, IDC AI research, Snowflake ESG report, McKinsey AI analysis, Microsoft Work Trend Index, Boston Consulting Group AI study, AI adoption rates, enterprise AI transformation, sample size in AI studies, research limitations, AI productivity impact, AI workflow automation, AI business decisions, AI bubble, AI reporting in media, AI pilot timeline, enterprise AI tools, AI agent capabilities, AI autonomy, custom AI solutions, AI study bias, marketing disguised as research, sensationalized AI studies.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

"If we were building Box today, what would we do?” Ben Kus (CTO @ Box) deconstructs their playbook for enterprise AI innovation. We cover their journey to reimagine & reorient the company to a new technical vision, how they run a “multi-speed” org that balances startup agility and & enterprise-grade stability, and their “platform first” approach to build AI features. Ben also explains why security/compliance was foundational from "day negative one" in their AI strategy, the evolution of agentic AI, determining the right guardrails for AI agents & the future of multi-agent systems, enterprise trends & more. ABOUT BEN KUSBen Kus is the Chief Technology Officer at Box, where he leads technology and AI strategy to help enterprises securely unlock insights from their unstructured data. Ben's career spans engineering, product leadership, and startup innovation—including co-founding Subspace (acquired by Box) and being an early employee at BigFix (acquired by IBM), where he later served as Chief Architect of Mobile Security. Ben holds a degree in Computer Science from UC Berkeley. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

Moinul Khan, co-founder and CEO of Aurascape, joins the show to unpack what it takes to build a cybersecurity startup in the age of AI. With decades of experience at companies like Zscaler, Palo Alto Networks, and FireEye, Moinul shares why AI demands an entirely new security stack, how agentic AI is changing the game, and why prevention—not dashboards—must be at the heart of real solutions. If you're a tech leader navigating the future of AI and security, this is a conversation you won't want to miss.Key Takeaways• Traditional security stacks can't keep up with dynamic, evolving AI tools• Prevention-focused solutions matter more than dashboards or API visibility• Agentic AI is both an opportunity and a security challenge that startups must address• CISOs are rethinking consolidation and becoming more open to best-of-breed solutions in AI security• Building with a long-term prevention mindset creates stronger, more resilient startupsTimestamped Highlights00:37 — Aurascape's mission to deliver an all-encompassing AI security solution02:27 — The “aha” moment: why legacy firewalls and proxies can't secure AI08:23 — How Aurascape's vision has evolved from public AI tools to securing private and third-party applications13:17 — Agentic AI, MCP protocols, and why startups need to secure the next wave of AI agents16:44 — Best-of-breed vs consolidation: where the security market is really heading20:37 — Advice for founders: why prevention-first is the only real path to solving security problemsA standout moment“If you try to patch what you have built in the last 20 years, you will fail. If you want to secure AI, you have to build your entire stack from the ground up.” — Moinul KhanResources MentionedAurascape.aiPro TipDon't build for a quick exit. Focus on prevention, even if it's the harder road—it's what truly solves customer problems in cybersecurity.Call to ActionIf you enjoyed this episode, share it with someone exploring AI security. Subscribe or follow the show for more conversations with the builders shaping the future of tech.

We got a special treat at the end of this episode as Sooner, Bryan, and myself recap Nashcon, Lone Star Open, and Summer Slaughter, some of the biggest summer events of the MCP season, one of which we all went to!f you would like to further support the channel go here to find out more: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/Thegamersguild⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Please join us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Or find us on Facebook here.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are in the US, shop at:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://gamechefs.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to help support the guild and use code: GamersGuild to save an additional 15% on your order!  

How do you build a successful AI company in today's landscape? Do you go broad and build a horizontal platform for everyone, or do you go deep and create a vertical solution for a niche market?In this episode, Dheeraj Pandey and Amit Prakash dive into one of the most critical strategic challenges facing founders today. They explore the paradox of needing broad context for AI to be intelligent, while also requiring sharp focus to find a buyer.The discussion covers everything from distribution models (Product-Led Growth vs. Sales-Led Growth), the role of founder bias, the rise of the citizen developer, and why the most successful AI companies of the future, like the most effective leaders, will need to be "T-shaped."Key Topics & Chapter Markers[00:01:28] Welcome & Summer Recap[00:08:04] Introducing the Core Theme: Breadth vs. Depth in AI[00:10:28] The Technologist's Dilemma: Building a Horizontal Platform vs. a Vertical Solution[00:12:05] The Paradox of AI: Needing Broad Context for Narrow Problems[00:15:00] The Persona Problem: Building for a Builder vs. an End-User[00:27:21] Go-to-Market Models: PLG vs. Forward-Deployed Engineering (SLG)[00:32:40] Founder Bias: How Personal Ambition, Laziness, and Experience Shape Strategy[00:42:55] The Hourglass Model: Let Chaos Reign, Then Reign in the Chaos[00:49:19] Why Every SLG Company Must Have a PLG Motion to Prevent Churn[00:50:21] The "T-Shaped" Metaphor for People and AI Products[00:51:30] Context and Memory: Prompt Engineering vs. Fine-Tuning Models[01:01:20] Finding Your Serviceable Addressable Market (SAM) vs. Total Addressable Market (TAM)[01:04:40] The Power of "Unreasonable Hospitality" in Customer Focus[01:06:00] Teaser for the Next Episode: A Deeper Dive into MCP vs. A2A ProtocolsHosts:Dheeraj Pandey: Co-founder and CEO at DevRev, formerly Co-founder and CEO of Nutanix. A tech visionary with a deep interest in AI and systems thinking.Amit Prakash: Co-founder and CTO at ThoughtSpot, formerly at Google AdSense and Bing, with extensive expertise in analytics and large-scale systems.Follow the Hosts:Dheeraj Pandey:LinkedIn - https://www.linkedin.com/in/dpandeyTwitter - https://x.com/dheerajAmit Prakash:LinkedIn - https://www.linkedin.com/in/amit-prakash-50719a2/Twitter - https://x.com/amitp42Share Your Thoughts:Have questions, comments, or ideas for future episodes? Email us at EffortlessPodcastHQ@gmail.comDon't forget to Like, Comment, and Subscribe for more in-depth discussions on AI, technology, and innovation!

Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-421

Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-421

Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Show Notes: https://securityweekly.com/esw-421

Benedicte builds an MCP server for Outseta. Benedikt and the Userlist team set a launch date for the redesign. Now that school is back on in Norway, Benedicte is trying to validate the idea for an audio guide platform called Omvei by reconnecting with former clients. Benedikt has been working on a new API to manage topics, as well as templating support for workflows in Userlist.Mentioned on the showMicroConf Europe

An airhacks.fm conversation with Antonio Goncalves (@agoncal) about: journey from Java Champion to Principal Software Engineer at Microsoft focusing on AI, the evolution from Java EE standards to modern AI development, writing technical books with LLM assistance, langchain4j as a Java SDK for LLMs providing abstraction over different AI providers, the importance of Java standards and patterns for LLM code generation, Boundary Control Entity (BCE / ECB) pattern recognition by LLMs, quarkus integration with LangChain4J enabling dependency injection and multi-tenancy, MCP (Model Context Protocol) as a new standard potentially replacing some RAG use cases, enterprise AI adoption using Azure AI Foundry and AWS Bedrock, model routers for optimal LLM selection based on prompt complexity, the future of small specialized models versus large general models, tornadovm enabling Java execution on GPUs with 6x performance improvements, GraalVM native compilation for LLM applications, the resurgence of Java EE patterns in the age of AI, using prompts as documentation in READMEs and JavaDocs, the advantage of type-safe languages like Java for LLM understanding, Microsoft's contribution to open source AI projects including LangChain4J, teaching new developers with AI assistance and the importance of curiosity, CERN's particle accelerator and its use of Java, the comparison between old "hallucinating architects" and modern LLM hallucinations, writing books about AI using AI tools for assistance, the structure of the Understanding LangChain4j book covering models RAG tools and MCP, enterprise requirements for data privacy and model training restrictions Antonio Goncalves on twitter: @agoncal

Engineering leadership is undergoing a seismic shift, requiring playbooks to be rewritten, in real-time. In this special episode, hosts Patrick Gallagher and Jerry Li give you an inside look at the ELC Annual 2025 experience, and how the two-day conference will equip you with new mental models, skills, and frameworks required to lead.Get a preview of tactical takeaways from deep operational dives into companies like OpenAI, Amplitude, and HeyGen. Discover how the conference will help you redesign your innovation engine, transform your team's workflows, and blur the lines between engineering, product, and business to drive impactful change. Through a unique mix of tactical sessions, peer-led roundtables, and curated mentorship, you'll learn how to find the community and coaching needed to lead through uncertainty and invest in your own career growth.To learn more & get tickets, go to sfelc.com/annual2025Use code podcast15 for 15% off tickets - group tickets / discounts available. ABOUT ELC ANNUALThe playbook for engineering leadership is being rewritten. ELC Annual 2025, happening September 10-11 in San Francisco, is where you'll gain the insights, strategies, and deep connections needed to lead in this new era. 50+ speakers, 50+ peer-led roundtables discussions, 1:1 matching to expand your network. Insights, connections & support.Join the community of engineering leaders who are co-creating the future of our field.Listener Discount → Use code podcast15 for 15% offGroup Tix → For teams looking to attend together, special group discounts can be found under the 'Tickets' section of our website!Secure your ticket at sfelc.com/annual2025 ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

Join Dan Vega and DaShaun Carter broadcasting live from the Kansas City Developer Conference (KCDC)! In this special episode, the hosts share highlights from the conference and discuss Dan's sessions on MCP and Spring Boot 3. They dive into the exciting news of Spring Boot 4 M1 and Spring Framework 7 M8 releases, exploring what's new and what developers can expect. The team also answers live questions from the KCDC audience and online viewers about the latest developments in the Spring ecosystem.Show NotesKansas City Developer Conference

Why you should listenIsar Meitis reveals why small businesses are actually falling behind enterprises in AI adoption—despite predictions they'd run circles around big companies.Learn the critical difference between tactical AI (saving 2 hours on marketing) and strategic AI (transforming your entire business model) and why leadership buy-in determines everything.Discover how the MCP protocol is creating "USB-like" connections between AI and your existing tech stack, eliminating the need for massive development teams and opening game-changing possibilities for consultants.As consultants struggle to stay ahead of the AI revolution while clients realize that 37-hour project now takes 37 minutes, many are feeling the pressure of hourly billing becoming obsolete. In this episode, I talk with Isar Meitis from multiplai.ai, who provides a reality check on what's actually happening in the AI consulting space. We discuss why small businesses are falling behind despite their supposed agility, the shift from cost-saving to revenue-generating AI strategy, and how new protocols are making enterprise-level AI integration accessible to any consultant. This conversation cuts through the hype to show you exactly where the consulting industry is headed and how to position yourself to thrive, not just survive.About Isar MeitisIsar Meitis is a 4 time CEO with a passion for teaching and mentoring, who drinks and eats AI tech. Isar has always been a mentor by heart, from his early days as an F16 pilot and a flight instructor at the Air Force Academy, all the way to his current days where he mentors CEOs, and other business leaders.As an experienced CEO, investor, and board member, Isar has a holistic approach to business. He helps businesses implement AI using a strategic approach. Isar aims to empower businesses and individuals to maximize their potential through AI-infused strategies, systems, and processes, and produce a positive business impact.Isar has built and implemented technology, systems, processes, and teams in a wide variety of organizations, from small tech startups all the way to multi-billion dollar corporations.The unique combination of Isar's business leadership experience, his fun and outgoing personality, and his passion for tech and mentoring makes him a highly sought-after speaker, instructor, and consultant.Isar is a successful podcaster for over 4 years (Leveraging AI, Business Growth Accelerator), he loves traveling with his family and playing soccer and pickleball.Resources and LinksMultiplai.aiIsar's LinkedIn profileReach out to Isar via email at isar@multiplai.ai Subscribe to Leveraging AI PodcastJoin the next cohort of AI Business Transformation CourseThe AI Daily Brief (Formerly The AI Breakdown)Marketing AI Institute's The Artificial Intelligence ShowChatGPT

Listen now: Spotify, Apple and YouTubeWhat if you could cut your QA cycles from days to minutes—and draft PRDs that actually update themselves as your product evolves?In this episode of Supra Insider, Marc and Ben sit down with Amir M, cofounder of Humblytics, to explore how he's running a two-person startup across engineering, QA, and product using Cursor and Model Context Protocols (MCPs). Amir shares how he builds context-rich workflows, turns documentation into living systems, and uses agentic tools like Firecrawl and Playwright to automate the “boring” but critical parts of product development.If you've been curious about how to bring AI deeper into your product org—not just for brainstorming but for end-to-end execution—this conversation is packed with practical demos and mindsets you can apply today.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Agentic AI is transitioning from demonstration to real-world application, particularly through the Model Context Protocol (MCP), which transforms traditional RMM and PSA systems into more interactive and efficient tools. This shift is expected to significantly impact ticket management, service level agreements (SLAs), and profit margins for managed service providers (MSPs). The discussion also delves into the competitive landscape, with companies like PAX 8 positioning themselves as orchestration layers in this evolving market, raising questions about whether this represents a genuine transformation or merely a rebranding effort.Rich Freeman, a prominent voice in the SMB channel, shares insights on how MSPs are adapting to these changes. He highlights that many organizations are already deploying AI solutions, which are automating tasks traditionally performed by humans, such as service dispatch and help desk operations. This evolution is not just about reducing workforce size but rather reshaping the roles within MSPs, allowing employees to focus on higher-level tasks that drive customer value and differentiation.The conversation also touches on the implications of MCP, which allows AI agents to interact with various backend systems seamlessly. This capability could lead to a future where technicians no longer need to navigate complex interfaces, as they can simply communicate with AI to manage their systems. The rapid advancements in AI technology are prompting MSPs to rethink their operational strategies and prepare for a future where automation plays a central role in service delivery.Finally, the discussion explores the concept of managed intelligence providers, emphasizing the need for MSPs to evolve from merely providing tools to delivering comprehensive solutions that leverage AI for better outcomes. As the industry shifts towards this model, the role of marketplaces and distributors will also change, requiring them to support MSPs in integrating and managing these advanced technologies. The conversation concludes with a recognition of the urgency for MSPs to adapt to these changes or risk falling behind in a competitive landscape. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

An airhacks.fm conversation with Michalis Papadimitriou (@mikepapadim) about: GPU acceleration for LLMs in Java using tornadovm, evolution from CPU-bound SIMD optimizations to GPU memory management, Alfonso's original Java port of llama.cpp using SIMD and Panama Vector API achieving 10 tokens per second, TornadoVM's initial hybrid approach combining CPU vector operations with GPU matrix multiplications, memory-bound nature of LLM inference versus compute-bound traditional workloads, introduction of persist and consume API to keep data on GPU between operations, reduction of host-GPU data transfers for improved performance, comparison with native CUDA implementations and optimization strategies, JIT compilation of kernels versus static optimization in frameworks like tensorrt, using LLMs like Claude to optimize GPU kernels, building MCP servers for automated kernel optimization, European Space Agency using TornadoVM in production for simulations, upcoming Metal backend support for Apple Silicon within 6-7 months, planned support for additional models including Mistral and gemma, potential for distributed inference across multiple GPUs, comparison with python and C++ implementations achieving near-native performance, modular architecture supporting OpenCL PTX and future hardware accelerators, challenges of new GPU hardware vendors like tenstorrent focusing on software ecosystem, planned quarkus and langchain4j integration demonstrations Michalis Papadimitriou on twitter: @mikepapadim

Confused by AI jargon and unsure which tools actually move the needle for your business? We break down the real differences between traditional algorithms, large language models (LLMs), and agents — including agentic AI — and give practical guidance leaders can use now.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Join Simtheory: https://simtheory.ai----CHAPTERS:00:00 - Simtheory plug00:48 - GPT-5 1 Week Later, Reaction to GPT-5 & Our Thoughts on Future of AI Models30:12 - Ideogram Character Reference Fun + Disturbing Photos of Us37:33 - Using creative MCPs together for photos, videos and 3D objects43:16 - MCP output combinations and the explosion of MCPs51:18 - What is needed from the next models like Gemini 3.0 Pro54:30 - Sundar Pendant Design & Final Thoughts56:20 - Final LOLz of week: gaggle poaching58:10 - Surprise GPT-5 Indie SongThanks for all of your supporting and listening to the show! xoxox

We wanted to discuss what our perfect game of MCP would be like right now.

When AI agents move faster than security teams, the game changes, and the risks multiply. Ron welcomes back Marco “Mystic Marc” Figueroa, Program Manager at Mozilla's 0DIN Program, to continue the conversation and update on 2025's most pressing AI and cybersecurity shifts. From the explosive rise of AI agents and OpenAI's rumored browser to the hidden dangers of MCP implementations and prompt injection exploits like the Gemini attack, Marco shares insights that security pros can't afford to miss. Impactful Moments 00:00 - Introduction 02:00 - Why 2025 is the year of the agent 05:45 - MCP's rapid adoption and security risks 10:00 - The Gemini prompt injection vulnerability 15:00 - How attackers hide malicious AI prompts 18:00 - High success rates in non-technical teams 22:00 - Rise of voice-based AI scams 25:00 - Using jailbreaks to bend AI to your needs 30:00 - Predictions on OpenAI's upcoming browser 33:00 - The profit battle between OpenAI and Microsoft 35:00 - Windsurf's rollercoaster of acquisitions Links: Connect with our guest Marco on LinkedIn: https://www.linkedin.com/in/marco-figueroa-re/ Check out our upcoming events: https://www.hackervalley.com/livestreams Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/

Welcome to Episode 408 of the Microsoft Cloud IT Pro Podcast. Part two of our exploration into Model Context Protocol (MCP) servers continues our hands-on discussion about finding, implementing, and getting the most out of MCP servers in your daily workflows. Your support makes this show possible! Please consider becoming a premium member for access to live shows and more. Check out our membership options. Show Notes Silicon Valley: Gilfoyle Made A Bot (Season 6 Episode 1 Clip) | HBO Lokka What is the Azure MCP Server (Preview)? Microsoft Learn Docs MCP Server overview Notion MCP Introducing Slack MCP Support Model Context Protocol servers Docker MCP Catalog About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

This week's guest is Brooke Hopkins, Founder of Coval, a company building automated testing infrastructure for AI agents starting with voice and chat assistants. We unpack her journey from studying in Abu Dhabi to leading simulation infrastructure at Waymo, where she helped ensure autonomous vehicles could operate safely at scale. Brooke shares how that experience shaped Coval's approach to agent evaluation, why voice is the hardest modality to test, and what it means to simulate human-to-agent interactions in a way that actually reflects user intent.Episode Chapters:1:54 - Abu Dhabi for college4:06 - Searching for engineering challenges5:08 - Joining Waymo9:00 - Scaling simulations10:17 - Balancing cost, latency, and signal14:40 - Starting with voice18:16 - Building evals23:44 - Persona surprises26:50 - MCP 27:15 - AI operating system for conversational workflows32:28 - Voice to voice 35:55 - Quick fire roundAs always, feel free to contact us at partnerpathpodcast@gmail.com. We would love to hear ideas for content, guests, and overall feedback.This episode is brought to you by Grata, the world's leading deal sourcing platform. Our AI-powered search, investment-grade data, and intuitive workflows give you the edge needed to find and win deals in your industry. Visit grata.com to schedule a demo today.Fresh out of Y Combinator's Summer batch, Overlap is an AI-driven app that uses LLMs to curate the best moments from podcast episodes. Imagine having a smart assistant who reads through every podcast transcript, finds the best parts or parts most relevant to your search, and strings them together to form a new curated stream of content - that is what Overlap does. Podcasts are an exponentially growing source of unique information. Make use of it! Check out Overlap 2.0 on the App Store today.

#311: In this episode, Viktor and Darin delve into the transformative impact of AI on project development. Viktor discusses how AI tools like Claude Code and Taskmaster have significantly reduced the time required for project development, bringing it down from a month to just a few days. They explore the components of AI-driven development, such as LLMs, agents, and MCP servers, and the roles they play. Viktor shares his personal experiences with AI, including the use of Taskmaster for generating comprehensive PRDs, and how tools like memory MCPs have enhanced productivity. They also touch on the practicality and affordability of AI tools, and the transition from traditional programming to AI-assisted development. The discussion provides insights into the future of AI in everyday coding tasks and project management.   Claude Code https://www.anthropic.com/claude-code   Cursor https://cursor.com/   Taskmaster https://www.task-master.dev/   Memory MCP https://github.com/modelcontextprotocol/servers/tree/main/src/memory   OpenRouter https://openrouter.ai/   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

After many months of making fun of the term "vibe coding," Emily and Alex tackle the LLMs-as-coders fad head-on, with help from security researcher Susanna Cox. From one person's screed that proclaims everyone not on the vibe-coding bandwagon to be crazy, to the grandiose claim that LLMs could be the "opposable thumb" of the entire world of computing. It's big yikes, all around.Susanna Cox is a consulting AI security researcher and a member of the core author team at OWASP AI Exchange.References:My AI Skeptic Friends Are All NutsLLMs: the opposable thumb of computingA disastrous day in the life of a vibe coderAlso referenced:Signal president Meredith Whittaker on the fundamental security problem with agentic AIThe "S" in MCP stands for securityOur Opinions Are Correct: The Turing Test is BullshitAI Hell:Sam Altman: The (gentle) singularity is already hereWhat do the boosters think reading is, anyway?Meta's climate model made up fake CO2 removal ideasOngoing lawsuit means all your ChatGPT conversations will be saved"Dance like you're part of the training set"Some Guy tries to mansplain Signal to…Signal's presidentWSJ headline claims ChatGPT "self-reflection", gets dunkedCheck out future streams at on Twitch, Meanwhile, send us any AI Hell you see.Our book, 'The AI Con,' is out now! Get your copy now.Subscribe to our newsletter via Buttondown. Follow us!Emily Bluesky: emilymbender.bsky.social Mastodon: dair-community.social/@EmilyMBender Alex Bluesky: alexhanna.bsky.social Mastodon: dair-community.social/@alex Twitter: @alexhanna Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Bret and Nirmal are joined by Michael Irwin to discuss Docker's comprehensive AI toolkit, covering everything from local model deployment to cloud-based container orchestration across multiple interconnected tools and services.

Justin's car-negotiation bot accidentally seals a deal, while Jem battles a FedEx account freeze. MCP email antics, Help Scout AI tweaks, DHL/Veeqo rates. Jem hacks Fusion posts for ABB sanding, tests soft‑servo, 3D‑prints a probe, and brings back time‑blocking. Watch on YoutubeDISCUSSED:✍️ Comment or Suggest a TopicPerfect Saturday night. PP ꘎It made a deal!FedEx can eat a bag of D ꘎Time blocking again ꘎Abby sands? ꘎Deep research ABB service docs ꘎MCP enthusiastic emails ꘎Task NoveltyErratic Novelty TaskSoft Servo---Profit First PlaylistClassic Episodes Playlist---SUPPORT THE SHOWBecome a Patreon - Get the Secret ShowReview on Apple Podcast Share with a FriendDiscuss on Show SubredditShow InfoShow WebsiteContact Jem & JustinInstagram | Tiktok | Facebook | YoutubePlease note: Show notes contains affiliate links.HOSTSJem FreemanCastlemaine, Victoria, AustraliaLike Butter | Instagram | More LinksJustin BrouillettePortland, Oregon, USAPDX CNC | Instagram | More Links

Today we are talking about AI, How it can be privacy focused, and What amazee.ai is doing to help with guest Michael Schmid. We'll also cover LiteLLM AI Provider as our module of the week. For show notes visit: https://www.talkingDrupal.com/515 Topics Privacy Concerns with AI Amazee's Privacy-Focused AI Solutions Foundation Models and Their Importance AI-Powered Search in Drupal Customizing AI Responses and Search Proprietary vs. Open Source Models Understanding Neural Networks Training and Weights in Models Integrating AI with Drupal Practical Steps to Implement AI in Drupal AI and MCP for Automation Open Source Models in AI Future Directions for MAI AI Conclusion and Contact Information Resources amazee.ai Foundation models amazee ai provider & amazee ai vector db module Drupal AI module AI Chatbot MCP DrupalGovCon Guests Michael Schmid - amazee.ai schnitzel Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Rich Lawson - richlawson.co rklawson MOTW Correspondent Matt Glaman - mglaman.dev mglaman Brief description: AI provider for using LiteLLM. LiteLLM is a gateway that allows connecting to LLMs without accessing the providers directly using the same API as OpenAI along with other governance goodies. Module name/project name: LiteLLM AI Provider Brief history How old: created on 24 February 2025 Versions available: beta, 1.1.0 and 1.0.0 to track main AI module Maintainership Actively maintained Usage stats: 439 Maintainer(s): marcus_johansson, andrewbelcher, justanothermark of FreelyGive Module features and usage Basically like OpenAI provider but allows it to work with non-OpenAI models and other logic that's in the OpenAI provider module.

In today's special edition of Cloud Wars Live, Bob Evans talks with Kris Rice, Senior Vice President, Software Development, Oracle Database, about the rapid rise of AI, the strategic impact of the new MCP Server, Oracle's unique approach to integrating LLMs with private data, and what to expect at this year's CloudWorld. Rice shares how Oracle is meeting developers where they are, enabling seamless AI-powered interactions with enterprise data.Inside Oracle's MCP StrategyThe Big Themes:Oracle's Strategic Integration of MCP: Oracle's implementation of the Model Context Protocol (MCP) represents more than a technical upgrade. Rice explains that MCP, though technically simple, becomes powerful because of how it's supported across AI agents, Copilots, cloud desktops, and IDEs. Oracle's distinctive approach lies in integrating MCP directly into its existing developer environments rather than layering on new tools.Oracle Marries AI with Data Sovereignty: Oracle has the unique ability to merge large language models (LLMs) with enterprise-grade data privacy and sovereignty. While many companies hesitate to use public AI platforms for sensitive queries, Oracle's approach — running LLMs on private GPUs in Oracle Cloud Infrastructure (OCI) — lets customers leverage cutting-edge AI while keeping data entirely within their own virtual cloud networks.Oracle CloudWorld 2025: Looking ahead to CloudWorld, Rice promises more than vision — he promises practical value. Attendees can expect hands-on labs, demos, and real-world use cases showing exactly how Oracle's MCP server and GenAI services can be applied immediately. From natural language-driven infrastructure provisioning using Terraform MCP to business logic queries run autonomously by AI agents, the event will be centered on tangible outcomes, not speculative futures.The Big Quote: “I saw the other day that the Google AI Studio supports MCP. So you could literally go to the Google AI studio, drop in your Oracle Database MCP support, and talk to your Oracle database that's on GCP, and never leave the boundaries of Google."More from Kris Rice and Oracle:Connect with Kris Rice on LinkedIn and learn more about Oracle and MCP* Sponsored podcast * Visit Cloud Wars for more.

In this episode, I speak with Shiri Mosenzon Erez, Chief Product Officer at commercetools, a global leader in enterprise composable commerce that supports thousands of retailers in hundreds of countries, enabling tens of billions of dollars in revenue annually. Shiri's career journey has taken her from consulting into her first product role at Tesco, through product leadership at Ocado, and now leading at a scale-up with a global enterprise footprint. We cover a lot, including: What commercetools does: An API-first, composable commerce engine powering online trade for major global enterprises and manufacturers, enabling flexibility, resilience, and constant uptime for B2C and B2B commerce. Composable commerce explained: Allowing customers to mix and match best-of-breed components across the commerce value stream or opting for "pre-composed" solutions built on the same composable foundation. Strategic focus in a flexible platform: How the team decides where to build, buy, or partner, using value stream mapping to prioritise and avoid being pulled in too many directions. AI and agents in commerce: From data tagging to conversational assistants and dynamic pricing, Shiri shares early enterprise adoption patterns and the role of commercetools' MCP layer in letting customers plug in the agents they trust. Product team structure: A 55-person product org spanning UX, product management, and close engineering partnerships, with domain-focused teams and a strong CPO–CTO pairing model. Balancing explore vs exploit: Encouraging teams to pivot to higher-value domains when propositions mature, and celebrating decisions to stop work that's no longer impactful. Customer-led vs strategy-led delivery: Using proactive roadmap communication to align big customer requests with company strategy and KPIs, turning reactive asks into collaborative problem-solving. Technical and business balance in PMs: Moving from a largely technical PM base toward a mix of skills, with growing focus on business value and direct engagement with business stakeholders. Leadership approach: Shiri's focus on connecting product strategy to company strategy, advocating at the executive level, and ensuring her teams feel purpose, autonomy, and mastery in their work. Check out commercetools Check out commercetools's website: https://commercetools.com/, or their careers page: https://commercetools.com/careers/jobs. Connect with Shiri You can connect with Shiri on LinkedIn: https://www.linkedin.com/in/shiri-mosenzon/.

Listen now: Spotify, Apple and YouTubeAs AI agents become the new interface for work, a major question looms: how will your product connect into this ecosystem?In this episode of Supra Insider, Marc and Ben sat down with Reid Robinson, product manager leading AI at Zapier. They talked about the rise of Model Context Protocols (MCPs) — the new standard for connecting AI agents to tools and data sources.Reid explains the fundamentals of MCP clients vs. servers, why the standard is gaining traction across players like Anthropic, OpenAI, and Atlassian, and how product leaders can decide where to start. He also shares concrete examples, from personal productivity hacks to enterprise integrations, showing what's possible when you combine MCP with Zapier's 8,000+ app ecosystem.Whether you're building your first AI copilot, figuring out how to expose your product's data to agents, or just want to understand where this ecosystem is headed, this episode will give you a front-row seat to the future of AI interoperability.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

TR is joined by Katie Collins, MCP educator and Alabama Teacher of the Year, to talk about how she uses the model to build community in her classroom and develop a growth mindset with her 1st graders Show Notes Alabama Teacher of the Year (https://alabamanewscenter.com/2025/05/14/katie-collins-named-2025-26-alabama-teacher-of-the-year/) Cottage Gardens (https://www.bhg.com/gardening/design/styles/cottage-style-landscape-design/) The Anxious Generation (https://jonathanhaidt.com/anxious-generation/), by John Haidt Let Grow (https://letgrow.org) Lil' John's meditation videos (https://www.youtube.com/playlist?list=PL5TqRyAI9UpWBy5ydKZW7PFNRF3xFoM7N) Connect with Katie on Instagram @alabamateachersoftheyear (https://www.instagram.com/alabama_teachers_of_the_year/) Contact us, follow us online, and learn more: Email us questions and feedback at: podcast@modernclassrooms.org (mailto:podcast@modernclassrooms.org) Listen to this podcast on Youtube (https://www.youtube.com/playlist?list=PL1SQEZ54ptj1ZQ3bV5tEcULSyPttnifZV) Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Toni Rose: @classroomflex (https://twitter.com/classroomflex) on Twitter and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/) Special Guest: Katie Collins.

In this episode of JavaScript Jabber, we welcome back Erik Hanchett, Senior Developer Advocate at AWS, to dive into his experience at VueConf. From the energy of the Vue community to lightning talks on AI and Nuxt updates, Erik shares his insights on where Vue is heading and why in-person conferences are still so valuable for developers. We also explore the balance between “vibe coding” and spec-driven development, plus Erik introduces us to Amazon Q CLI and its powerful MCP integrations for smarter AI-assisted coding.Along the way, we discuss the evolving state of Vue, the rise of Nuxt 4, Evan You's projects (including Vite and RollDown), and how Amplify is simplifying full-stack app development on AWS. Whether you're a Vue developer, curious about AI in frontend workflows, or just want to catch up on what's happening in the broader JavaScript ecosystem, this episode is packed with insights you won't want to miss.

Sign up to the new Simtheory for GPT-5 & MCP Store: https://simtheory.ai (Use coupon STILLRELEVENT for $10 USD) ----GPT-5 DIS TRACK: https://simulationtheory.ai/ba0ba238-5668-4b65-85e7-8466d68861a8Genie Demo: https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/----CHAPTERS:00:00 - Simtheory plug for v2 & MCPs01:28 - GPT-5 Initial Impressions & Thoughts52:22 - GPT-5 Dis Track1:00:29 - OpenAI's Open Source Models (gpt-oss)1:08:08 - Claude Opus 4.1 Release Thoughts1:14:24 - Google Genie 3 "mind blown" demos1:25:19 - MCP use cases, stories & thoughts on future of AI/MCP1:45:07 - Full GPT-5 Dis Track---Thanks for listening to our average coverage. Like and sub. xox.

In this Episode, Will is joined by Leland from Aegisbrand Studios for a more lighthearted discussion around some of our favorite characters.  We wanted to each present our Top Ten favorite characters in MCP but ran out of time to get them all.  However, we each got 7 that we love and wanted to talk about.  Just a little fun before event season kicks off in full force.  Enjoy! Baron of Dice - HouseParty for 5% off! Patreon and Merch and more! Krydrufi Hobby Station Thing USE CODE: KRYDRUFI-HPP Connect with us on Facebook @housepartyprotocol HPP on Youtube Discord - HPP_Will Email us - housepartyprotocolpod@gmail.com BattleKiwi - PARTYKIWI The Gamer's Guild Blacksitestudio.com - HOUSEPARTY15

It's always a good day if you see a pelican. In Episode 30 of Talking Postgres with Claire Giordano, open source developer Simon Willison—creator of Datasette and co-creator of Django—joins to explore how AI is useful for data engineers today. We move past the hype and boosterism to dig into example after example: structured data extraction, alt text and accessibility, safety and security (aka the fiddly bits), and why Postgres's fine-grained permissions are such a good fit for AI-powered workflows. Also: Pulitzer-worthy data tooling, the science fiction of the 10X engineer, agents, MCP, RAG, the multitude of models, and why Simon spends so many waking hours on the jagged frontier of AI.Links mentioned in this episode:Blog: Simon Willison's WeblogBlog: Simon's Willison's TIL - Things I've LearnedPodcast episode: Working in public on open source with Simon Willison and Marco SlotProject page: Django Web FrameworkProject page: Datasette, for finding stories in data GitHub repo: llm CLI tool and Python libraryDemo: Language models on the command-line w/ Simon WillisonBlog post: OpenAI's new open weight (Apache 2) models are really good, by Simon Willison Podcast episode: Accessibility and Gen AI podcast with guest Simon WillisonBlog post: New dashboard: alt text for all my images, by Simon Willison Keynote talk: Big Opportunities in Small Data, by Simon Willison at Citus Con: An Event for Postgres 2023 Blog post: How OpenElections Uses LLMs, by Derek Willis Blog posts tagged with pelican-riding-a-bicycle on Simon Willison's Weblog Blog post: No, AI is not Making Engineers 10x as Productive, via Colton Voege, featured on Simon's weblogGitHub repo: pgvector extension to PostgresCal invite: LIVE recording of Ep31 of Talking Postgres to happen on Wed Sep 17, 2025

We talk with Lennard Kooy, CEO of Lleverage, about why nobody actually cares about AI—they care about outcomes. Lennard drops hard truths on why most companies are moving too slow, how to accelerate adoption by assisting before replacing, and where agentic workflows are creating real ROI. He also demos a live “gladiator challenge” of building a cold outreach AI agent from scratch, and outlines what every GTM leader needs to do right now to stay relevant. Whether you're a RevOps pro, a BDR sick of cold calls, or a CMO trying not to get fired—this is your wake-up call.   04:43 Interview with Lennard Kooy 09:36 AI-Powered Recruitment and Sales Automation 14:29 Adopting AI in Business Processes 21:29 Practical AI Workflow Demonstration 23:40 Generating Company Lists and Lead Data 24:24 Simplifying Automation for Users 24:47 User Experience and Customer Support 25:39 Quick Wins for New Users 28:10 Potential of Agentic AI in Go-to-Market 30:59 Guardrails for Adopting AI 32:32 The Power of MCP in AI Integration 35:25 Mid-Market Focus and ROI 37:34 Future of AI in Professional Roles 39:41 Advice for Go-to-Market Leaders 42:29 Quick Hits: Practical AI Tips 44:57 Final Thoughts and Takeaways Key Topics Reality Check: Why most businesses don't care about AI—and what they do care about The Trust Layer: How “assist before replace” is the cheat code for adoption Recruiting Reinvented: How Lleverage AI automated 70% of their hiring pipeline Agentic GTM: Where agent workflows are replacing cold calls, research, and lead scoring Demo Time: Watch Lennard build an AI agent live, in under 5 minutes MCP Advantage: Why this new spec removes dev bottlenecks and boosts AI usability Speed > Perfection: Why going slow will kill your competitive edge Hard Truths for Leaders: You will get replaced if you don't move faster Future of Work: What GTM roles look like in a near-agentic future About our Guest: Lennard Kooy is a seasoned tech entrepreneur focused on how emerging technologies can transform business operations. As CEO of AI platform Lleverage, he helps companies automate complex processes without requiring technical expertise, drawing from his experience building and selling martech company Storyteq to ITG. Known for his pragmatic approach to AI adoption, Lennard regularly shares insights on making advanced automation accessible to everyday business teams. He's passionate about strengthening Europe's position in the global AI landscape and frequently writes about the practical realities of implementing AI in enterprise settings.

Daily Trends Report A new trends report will bring you daily data highlights via e-mail. https://isc.sans.edu/diary/New%20Feature%3A%20Daily%20Trends%20Report/32170 NVidia Triton RCE Wiz found an interesting information leakage vulnerability in NVidia s Triton servers that can be leveraged to remote code execution. https://www.wiz.io/blog/nvidia-triton-cve-2025-23319-vuln-chain-to-ai-server Cursor AI MCP Vulnerability An attacker could abuse negligent Cursor MCP configurations to implement backdoors into developer machines. https://www.aim.security/lp/aim-labs-curxecute-blogpost

The rise of AI agents is more than a tooling upgrade - it's a fundamental rewiring of the entire developer experience, with your APIs at the very center. We're joined by Matt DeBergalis, co-founder and then-CTO-now-CEO (congrats Matt!) of Apollo GraphQL, to explore this massive transformation. He introduces the emerging concept of "agent experience," explaining why systems built for human developers are not ready for the unprecedented scale of AI calling APIs.Matt argues that as the old rules of software development get re-evaluated, engineering leaders must rethink their entire stack. He presents a powerful analogy: a structured data layer like a graph is the perfect "left brain" for the "right brain" creativity of LLMs. This provides the semantic precision and guardrails needed for AI to act reliably, enabling a future where user experiences are personalized "to 11" and APIs become the core business asset. This conversation is a crucial guide for leaders on how to prepare by prioritizing higher-level system design, and why clear communication and architecture are becoming far more critical than handwriting code.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):Explore Apollo GraphQL's graph infrastructure and MCP tooling: ApolloDevConnect with Matt on LinkedInConnect with Andrew Boyagi on LinkedInReferenced in today's show:Anthropic caps Claude Code usageOpenAI introduces study modeReady or not, age verification is rolling out across the internetAtlassian research: AI adoption is rising, but friction persistsSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

What if your engineering team didn't just write code, but owned product discovery, wrote the launch messaging, and handled early sales? In this episode, Michael Grinich, CEO and founder of WorkOS, deconstructs their playbook for collapsing the product/engineering stack: no design leads, only one PM, and engineers who own product end-to-end. Michael breaks down how they teach product thinking, build with deep customer insight, and why his most important job is often to "cut scope." You'll learn how to remove the "lossy translation layers" between teams, build a culture of curiosity and customer obsession, and ship higher-quality products, faster.ABOUT MICHAEL GRINICHMichael is the founder and CEO of WorkOS, a developer platform that enables companies to become Enterprise Ready through features like Single Sign-On (SAML). Their customers include many of the fastest-growing startups including Webflow, Drata, Loom, and +200 others. Before WorkOS, Michael co-founded Nylas and studied CS at MIT. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

Alex Lee joins the show to walk us through an end-to-end automated newsletter generator built using N8N, Airtable, and generative AI. From aggregating news and generating summaries to crafting branded HTML and distributing it via email, Alex shows how businesses can reduce newsletter production from 6 hours to 30 minutes. He also shares how Model Context Protocol (MCP) is enabling real-time access to company data, explains his decision-making process between using workflow automation tools vs. vibe coding, and previews what's next in AI-powered business automation.Timestamps:00:23 – Welcome Alex Lee: Career journey from SAP to Google to AI consulting01:31 – How ChatGPT changed his mind about NLP02:38 – Why Alex is focused on AI enablement for businesses03:36 – Use case #1: AI-powered newsletter generator04:49 – The manual pain of newsletter creation06:12 – Why email is the best owned marketing channel07:25 – Step-by-step demo: Aggregating articles, adding context, and generating drafts09:09 – Human-in-the-loop editing and brand tone tuning10:01 – HTML generation and branded email output11:03 – Use cases beyond marketing: Internal custom newsletters15:26 – Why Airtable powers the backend of the workflow17:27 – Behind the scenes: N8N automation workflow overview20:26 – Tool selection: When to use N8N vs. Zapier vs. Make21:49 – Hosting your own N8N instance for cost efficiency24:04 – How clients send the generated newsletter (Mailchimp, HubSpot, EasyMail)27:12 – Vibe coding vs. workflow automation: which path to choose?28:41 – Why Lovable stands out among V0, Replit, Cursor30:19 – Benefits of prototyping and vibe coding for non-technical folks31:24 – What is MCP and why it matters33:05 – Example: Using Claude + MCP to search Google Drive and draft an executive summary38:59 – AI-powered time tracking via calendar and file analysis40:58 – What's next: legacy system integration, coding agents, MCP standardization42:39 – How to contact AlexTools and Technologies Mentioned:N8N – Open-source workflow automation platform used to orchestrate the newsletter processAirtable – Serves as the data layer and user interface for non-technical usersClaude (Anthropic) – Used for summarization, HTML generation, and MCP interactionMCP (Model Context Protocol) – Enables AI models to access external systems like Drive and calendars in real timeZapier, Make – Workflow automation tools considered depending on client preferenceLovable – No-code/low-code app builder that successfully integrates with Supabase and OpenAIHubSpot, Mailchimp, EasyMail – Email service providers used to distribute the newslettersSupabase – Backend database often used in vibe-coded appsSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Our feature guest this week is Josh Peltz, VP of the West for Zero Networks. News from Eldora, COOP Rideshare, Red Canary, Optiv, zvelo and a lot more! Come join us on the Colorado = Security Slack channel to meet old and new friends. Sign up for our mailing list on the main site to receive weekly updates - https://www.colorado-security.com/. If you have any questions or comments, or any organizations or events we should highlight, contact Alex and Robb at info@colorado-security.com This week's news: New Colorado area code rolls out for dozens of counties Nederland to buy Eldora Mountain Resort with support of ski industry heavy hitters Time to buy? Denver housing market hits highest inventory in 14 years Colorado Driver-Owned Ridershare App Relaunches With Improved Service, Same Benefits for Drivers More shady QR codes found on Denver parking meters Colorado among states to pass privacy laws protecting brain data collected by devices Trump Administration's AI Action Plan and New Executive Orders Offer Strategic Opportunities and Legal Risks for Private Businesses Understanding the threat landscape for MCP and AI workflows Cybersecurity Leadership in 2025: The Strategic Role of CISOs in an AI-Driven Era Addressing Legacy Phishing Detection Failure Upcoming Events: Check out the full calendar ISSA Denver - August Chapter Meeting - 8/13 Colorado = Security Picnic - 8/23 ISSA Pikes Peak - Chapter Meeting - 8/27 ISSA Denver - AI/ML SIG: Agentic AI - 8/27 ISSA Denver - Women in Cyber: From Crisis Response to Boardroom: Becoming a CISO the Unconventional Way - 9/3 View our events page for a full list of upcoming events * Thanks to CJ Adams for our intro and exit! If you need any voiceover work, you can contact him here at carrrladams@gmail.com. Check out his other voice work here. * Intro and exit song: "The Language of Blame" by The Agrarians is licensed under CC BY 2.0

Whistling is a skill used to communicate over distances—a whistle can mean anything from “you're cute” to “time to come home for dinner.” There's a complex series of mechanisms in the mouth that need to come together to make a whistle. Hosts Ira Flatow and Flora Lichtman discuss all things whistling with professional musician and whistler Wanda Civic, aka MCP, and speech language pathologist Aaron Johnson.Guests: Wanda Civic aka MCP is a musician and whistler based in New York, New York.Aaron Johnson is a speech and language pathologist at the Voice Center of New York University, in New York, New York.Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

Welcome to Episode 407 of the Microsoft Cloud IT Pro Podcast. In this episode, we dive deep into the Model Context Protocol (MCP) - a game-changing specification that's extending the capabilities of Large Language Models (LLMs) and creating exciting new possibilities for IT professionals working with Microsoft Azure and Microsoft 365. MCP represents a significant shift toward more extensible and domain-specific AI interactions. Instead of being limited to pre-trained knowledge, you can now connect your AI tools directly to live data sources, APIs, and services that matter to your specific role and organization. Whether you're managing Azure infrastructure, creating content, or developing solutions, MCP provides a framework to make your AI interactions more powerful and contextually relevant to your daily workflows. Your support makes this show possible! Please consider becoming a premium member for access to live shows and more. Check out our membership options. Show Notes Introducing the Model Context Protocol Understanding MCP server concepts Understanding MCP client concepts A list of applications that support MCP integrations About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

Join Jason Howell and Jeff Jarvis as they discuss Meta's new chief AI scientist shakeup, Apple losing key AI talent to Meta, Ray-Ban Meta smart glasses tripling sales, and Microsoft debuting a bold AI Copilot Mode in Edge.Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00:00 - Podcast begins 0:01:51 - Meta chief AI scientist Yann LeCun clarifies his role after the company hires another chief AI scientist 0:06:52 - Apple Loses Fourth AI Researcher in a Month to Meta's Superintelligence Team 0:08:47 - Meta's AI Recruiting Campaign Finds a New Target 0:19:43 - Personal SuperintelligenceZuck yammers about "personal superintelligence" 0:24:24 - Oakley Meta HSTN Limited Edition impressions 0:35:06 - Ray-Ban Meta smart glasses revenue tripled over the year, EssilorLuxottica says 0:36:40 - You might want to delve into this paper. I want to underscore, that's a joke you'll comprehend only with meticulous reading of it. 0:45:10 - Donald Trump Says AI Companies Can't Be Expected To Pay For All Copyrighted Content Used In Their Training Models: “Not Do-Able” 0:50:04 - New: Amazon to Pay New York Times at Least $20 Million a Year in AI Deal 0:53:16 - Microsoft revolutionizes Edge as an AI-powered web browser with new experimental 'Copilot Mode' — here's how to enable it right now 0:54:57 - Related: Fellou.ai 0:59:19 - Perplexity for Mac now supports MCP, and you should check it out 1:02:50 - OpenAI's ChatGPT Agent casually clicks through “I am not a robot” verification test 1:04:43 - Google AI Mode adding Search Live video, Canvas, PDF upload, and more 1:08:01 - Meta Is Going to Let Job Candidates Use AI During Coding Tests 1:08:51 - Meta is testing AI use in technical interviews – DTNSB 5070 1:10:21 - Photoshop just made it shockingly easy to edit objects and people into photos 1:12:00 - Imax Teams With Runway On Commercial Screenings Of AI Film Festival Selections Learn more about your ad choices. Visit megaphone.fm/adchoices

Kent C. Dodds is back with bold ideas and a game-changing vision for the future of AI and web development. In this episode, we dive into the Model Context Protocol (MCP), the power behind Epic AI Pro, and how developers can start building Jarvis-like assistants today. From replacing websites with MCP servers to reimagining voice interfaces and AI security, Kent lays out the roadmap for what's next, and why it matters right now. Don't miss this fast-paced conversation about the tools and tech reshaping everything. Links Website: https://kentcdodds.com X: https://x.com/kentcdodds Github: https://github.com/kentcdodds YouTube: https://www.youtube.com/c/kentcdodds-vids Twitch: https://www.twitch.tv/kentcdodds LinkedIn: https://www.linkedin.com/in/kentcdodds Resources Please make Jarvis (so I don't have to): https://www.epicai.pro/please-make-jarvis AI Engineering Posts by Kent C. Dodds: https://www.epicai.pro/posts We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Kent C. Dodds.

Listen to the full episode here (https://podcast.modernclassrooms.org/53) Toni Rose is joined by Emily Dia to talk about using a Unit Zero to introduce the model, and they go on to describe a day in the life of a Modern Classroom once students have internalized the routines. Show Notes Toni Rose's Unit 0 Calendar (https://docs.google.com/document/u/0/d/18bwBGdE0Mfv5bXgOKi1EiTDgfCcNa5zY0z1sSryUAsU/edit) Keeping up with the Modern Classrooms: Episode #1: Unit 0 (https://youtu.be/DOBepbKk_Is) Marissa's Classroom (https://drive.google.com/file/d/1PSLVCDFJN5_vn6vAhcIb-oW0UX7LVL2k/view?usp=sharing) Johns Hopkins research data on MCP (https://drive.google.com/file/d/1eHVDlBCRuObRCJixpz-FaXiec-0QlwGf/view) Unit 0 One pager (https://docs.google.com/document/d/1y4Dzk3WAnq6WpklllbyRQykt9z_gFISI4BZlUE8vZqo/edit?usp=sharing) Family intro email (https://docs.google.com/document/d/1utfOMecEPm9BTV7Cn9NxdDWvgF_xyQxcYE1Wh1Nwijc/edit?usp=sharing) Unit 0 Reflection (https://docs.google.com/forms/d/e/1FAIpQLSdt1Yq1InBJCd0s8gxxasuyBCkzg6ALoCyqsL186Nr1Ib7d8Q/viewform?usp=sf_link) Unit 0, Lesson 1 (https://docs.google.com/document/d/1CxGkwPtwEgmEXtlwd0qD-2R63fE0pvzHGheANcSCL7Q/edit?usp=sharing) Family Communication Toolkit (https://docs.google.com/document/d/1gXhKgdvi1QfDR8m8Ow0YVpdBq2y8RQ589GUOqOEsDp8/edit?usp=sharing) Icebreaker Ideas (https://docs.google.com/presentation/d/1HiJs4x32ndpVQHFhjxiUZvtb1mZPKM25zBPuuHLU4bg/edit#slide=id.p): * Follow the Directions Activity (https://docs.google.com/document/d/1wTJomsZe8DfWU_Dwrybof-k9Ace-bZT9cwxHp5T3Qe0/edit?usp=sharing) * I am From Poem (https://docs.google.com/document/d/1830ckWM3bKuFuhE3bmfyDZS6HyHskiN8IhMnsC0cY-4/edit) Unit 0: Slide Development Template (https://docs.google.com/presentation/d/1gyLx3VYItficSqsKle9JHArLtiQiz1hDCpPFHv7aAnc/edit?usp=sharing) Adding ten minutes of reading time dramatically changes levels of print exposure (https://www.scilearn.com/wp-content/uploads/add-ten-minutes-of-reading.pdf) Follow us online and learn more: Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Kate: @gaskill_teacher (https://twitter.com/gaskill_teacher) on Twitter Toni rose: @classroomflex on Twitter (https://twitter.com/classroomflex) and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://www.learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/)

Every enterprise is legit rushing to build AI agents.But there's no instructions. So, what do you do? How do you make sure it works? How do you track reliability and traceability? We dive in and find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Gemini's Veo 3 Video Creation ToolTrust & Reliability in AI AgentsBuilding Reliable AI Agents GuideAgentic AI for Mission-Critical TasksMicro Agentic System Architecture DiscussionNondeterministic Software Challenges for EnterprisesGalileo's Agent Leaderboard OverviewMulti-Agent Systems: Future ProtocolsTimestamps:00:00 "Building Reliable Agentic AI"05:23 The Future of Autonomous AI Agents08:43 Chatbots vs. Agents: Key Differences10:48 "Galileo Drives Enterprise AI Adoption"13:24 Utilizing AI in Regulated Industries18:10 Test-Driven Development for Reliable Agents22:07 Evolving AI Models and Tools24:05 "Multi-Agent Systems Revolution"27:40 Ensuring Reliability in Single AgentsKeywords:Google Gemini, Agentic AI, reliable AI agents, mission-critical tasks, large language models, AI reliability platform, AI implementation, microservices, micro agents, ChuckGPT, AI observability, enterprise applications, nondeterministic software, multi-agentic systems, AI trust, AI authentication, AI communication, AI production, test-driven development, agent EVALS, Hugging Face space, tool calls, expert protocol, MCP protocol, Google A2A protocol, multi-agent systems, agent reliability, real-time prevention, CICD aspect, mission-critical agents, nondeterministic world, reliable software, Galileo, agent leaderboard, AI planning, AI execution, observability feedback, API calls, tool selection quality.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

LLMs are so yesteryear. The next wave? Agentic browsers. While we're all rushing to bring personalization, company files and more into front-end large language models, agentic browsers have been quietly staking their claim as the next big thing in AI. We explain why.Try Gemini 2.5 Flash! Sign up at  AIStudio.google.com to get started. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Agentic AI Browsers vs. Chatbots OverviewFive Advantages of Agentic AI BrowsersPerplexity Comet Agentic Browser Case StudyOpenAI ChatGPT Agent and Virtual BrowserMicrosoft Edge Copilot Vision Agentic FeaturesGoogle Project Mariner and Gemini UpdatesStartup Agentic Browsers: Fellow, Opera Neon, DIALogged-In State and Workflow AutomationFuture Trends: Agentic Browser Momentum AnalysisTimestamps:05:10 Unlearning for AI-driven Work09:54 Agentic Browsers: Enhanced Context Utilization10:54 "AI Communication Simplified with MCP"15:28 "Hybrid AI's On-Device Speed"18:10 AI Browser Evolution22:40 Google Project Mariner Overview27:30 Streamlining Analytics with Agentic Browsers30:31 Agentic AI in Browsers32:08 Agentic AI's Rapid EvolutionKeywords:Agentic AI, agentic browsers, agentic AI browser, AI in the browser, agentic workflows, large language models, LLMs, front end chatbots, AI chatbot, Perplexity Comet, virtual browser, browser automation, AI-powered browsers, Google Gemini, ChatGPT agent, OpenAI virtual computer, model context protocol, MCP, agentic workflows, A2A protocol, hybrid AI architecture, Chromium-based browser, Microsoft Edge, Copilot Vision, Project Mariner, teach a task mode, Gemini assistant, logged in content, richer context, task automation, cross-site task automation, multi-step task automation, browser memory, shadow windows, Eco framework, natural language agentic workflows, JavaScript agentic workflows, Neon Opera browser, contextual AI, offline AI tasks, cloud browser, Manus AI, multi-agent architecture, browser cookies, contextual assistance, prompt engineering, personalized AI browser experience, task completion AI, web automation, business workflow automation, 2025 agentic browser predictions, virtual desktops.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Wes and Scott talk about how developers can expose powerful tools to AI using the Model Context Protocol. They discuss tool calling, remote MCP specs, authentication, and real-world use cases that make AI more capable through smarter integrations. Show Notes 00:00 Welcome to Syntax! 01:36 What is MCP? 07:23 MCP tools 11:33 MCP resources 13:43 Saving reusable prompts 16:18 Creating and validating MCP tools 18:31 Brought to you by Sentry.io 18:31 Tool calling vs MCP servers 21:28 Remote vs local MCP servers mcp-remote 26:24 Useful MCP servers mcp-server-cloudflare use-mcp awesome-mcp-servers 32:48 Sick Picks + Shameless Plugs Sick Picks Scott: Mario Kart World Wes: anyloop Kid's Watch Shameless Plugs Syntax YouTube Channel Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads