Podcasts about MCPS

Today we are talking about MCPs, AI Automators, and AI Agents with guest Marcus Johansson. We'll also cover AI Ecosystem Recipe as our module of the week. For show notes visit: https://www.talkingDrupal.com/529 Topics Understanding Model Context Protocol (MCP) AI Automators in Drupal Creating Complex Workflows with Automators Simple and Effective Automator Use Cases AI Image Alt Text and Contextual Understanding AI Tagging and Content Management Introduction to AI Agents in Drupal Challenges and Future of AI Agents Real-World Applications and Future of AI in Drupal Proliferation of Orchestration Tools Resources ai initiative issue queue Recipes from 1xInternet https://www.drupal.org/project/ai_recipe_image_classification https://www.drupal.org/project/ai_recipe_llm_optimized_content https://www.drupal.org/project/ai_recipe_seo_optimizer MCP xkcd Tool API Slack MCP Server Drupal MCP MCP Client JSON API wrapper Tagify Views Agent Context control center Marriage podcast Guests Marcus Johansson - workflows-of-ai.com marcus_johansson Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Martin Anderson-Clutz - mandclu.com mandclu MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to explore the AI capabilities of Drupal, but didn't know where to start? There's a Drupal recipe for that. Module name/project name: AI Ecosystem Recipe Brief history How old: created in Oct 2024 by Marcus Johansson (marcus_johansson of FreelyGive.io Versions available: 1.0.0-alpha2, which requires Drupal 10.3 or newer Maintainership Actively maintained Number of open issues: 2 open issues, both of which are bugs Module features and usage When you require and apply this recipe to your Drupal site, you'll be able to start working with a variety of LLMs and specialized AI-based services You'll be able to ingest unstructured content and map it to structured fields automatically. Or generate a detailed SEO analysis of your nodes. There are multiple translation tools, crawlers to help work across entire sites, and more. This recipe is likely something you would apply to a sandbox site, to understand the various ways to achieve something specific with AI and Drupal, and then apply whatever is best for your use case to your actual site build. But it's a useful resource for a Drupalist wanting to start exploring some of the growing list of options for working with AI, or someone familiar with AI tools who wants to start using them with Drupal.

In episode 25 of Open Source Ready, Brian and John sit down with Rachel-Lee Nabors. They explore how AI agents are reshaping the web, from the decline of traditional browsers to the rise of agentic experiences powered by small language models and MCPs. Rachel-Lee explains why advertising models are collapsing and why the next web may depend on direct payments and open source innovation.

Last week, Google's threat intelligence group warned that artificial intelligence (AI) is making malware attacks more dangerous. [Malware is malicious software—programmes designed to disrupt, damage or gain unauthorised access to computer systems—usually delivered via phishing emails, compromised websites or infected downloads]“Adversaries are no longer leveraging artificial intelligence (AI) just for productivity gains, they are deploying novel AI-enabled malware in active operations,” Google said in a 5000-word blog.Are malware programmes using Large Language Models (LLMs) to dynamically generate malicious scripts, obfuscate their own code to evade detection, and leverage AI models to create malicious functions on demand, as Google warns? Or it this yet another case of tech firms selling solutions to a problem they have created themselves?Listen to the latest episode of Unseen Money from New Money Review, featuring co-hosts Timur Yunusov and Paul Amery, to hear more about the effect of AI malware.In the podcast, we cover:Google's warning about the rise of AI malware – reality or hype? (2' 35”)Why LLMs were originally protected from harmful behaviour (4' 10”)How criminals learned to develop LLMs without guardrails (4' 55”)Model context protocols (MCPs) and AI agents as offensive tools (5' 30”)Malicious payloads and web application firewalls (7' 35”)Tricking LLMs by exploiting the wide range of input variables (8' 30”)The state of the art for fraudsters when using LLMs (10' 10”)Timur used AI to learn how to drain funds from a stolen phone (11' 05”)How worried is Timur about the rise of AI malware? (14' 20”)AI has dramatically reduced the cost and increased the speed of producing malware (15')AI, teenage suicides and protecting users (16' 50”)AI for good: using AI to combat AI malware (19')How a Russian bank used AI chatbots to divert fraudsters (19' 40”)Data poisoning—manipulating the training data for AI models (22' 10”)Techniques for tricking LLMs (23')Only state actors can manipulate AI models at scale (25' 40”)The use of SMS blasters by fraudsters is exploding! (27')

MD Attorney General Brown has filed or is participating in over 100 lawsuits maintained against the Trump Administration. State Senate President Ferguson under pressure to allow mid-term redistricting, but is it feasible? MCPS issues  detailed FAQ on Immigration Response Protocol. As Silver Spring International Middle School moves toward closing, teachers and staff feel dislocated. Washington County Humane Society is offering a $10,000 reward for information on the cat-killer of Boonsboro. And more. Music by Kara Levchenko.

Join Simtheory & experience MCPs in action: https://simtheory.ai----00:00 - Chris Has a Merch Sponsor02:42 - In Defense of Sam Altman20:29 - Are We In An AI Bubble? & What is Working in The Enterprise?43:58 - Anthropic's Code Execution with MCP: Problems with MCP Context52:44 - Kimi-K2 Thinking Model Release1:00:45 - "In the Middle of a Bubble" Song----Thanks for your support and listening, we appreciate you!Join our Discord: https://discord.gg/TVYH3HD6qs

In this episode, I speak with Akhil Nigam, CoFounder at Finmo, and we answer the critical question: How can global businesses transform their fragmented treasury operations into unified, intelligent systems that drive growth?He shares insights on why SMEs deserve better treasury solutions, how real-time payment rails are transforming cash management, and why MO AI is becoming the intelligent co-pilot every finance team needs.

The cities of Gaithersburg and College Park vote today.  After days of persuasion, MD Gov Moore approves $62 million in state funds to make up for the SNAP shortfall. District 16 Delegate Marc Korman on how MDOT uses a road design manual to say no. Prince George's County Planning Board does not have enough members to constitute a quorum. MCPS faces continued resistance against planned programming changes. Music by Dear Daria.

Join Simtheory to experience MCPs: https://simtheory.ai----00:00 - OpenAI's State of the Union & Why Cursor's Composer Model is a Threat44:26 - Does MCP Need To Die? Our Thoughts on State of MCP and Why The Client Implementations are the Problem1:07:53 - 1X NEO The Home Robot LOLZ1:28:05 - Greg Brockman, A Sad Song.----Thanks for listening and your continued support. We appreciate you.

MCPS' plans to expand magnet education and change school boundaries potentially turns the nation's 14th largest school system toward becoming six mini-districts. Sunil Dasgupta talks with MCPS officials leading the program changes, Jeannie Franklin and Angela McLane, about their plans, the challenges, and the possible consequences of the reorganization. Music by Seth Kibel and Flo Anito.

Llego el momento de prestarle atención a la IAEn este episodio conversé con  Christian Van Der Henst que lleva 27 años en tecnología. Fue fundador de Maestros del Web, cofundador de Platzi.com, la escuela de tecnología más grande en español y la primera startup latinoamericana en participar de Y Combinator. Hace 10 años vive en Silicon Valley, es inversionista en Región cuatro y ha invertido en empresas como Rappi Toku, Ontop, Tree y decenas de otras más.

The Blueprint: Mastering Claude Skills for Amazon Seller Optimization Episode Overview In this episode, Danny McMillan explores the transformative potential of Claude skills for Amazon sellers, demonstrating how AI can streamline processes that typically take hours into mere minutes. He provides insights on optimizing token efficiency and developing quick, impactful applications tailored for e-commerce. This episode explores ai skills and their applications in e-commerce, token efficiency and data analysis strategies with practical insights for immediate implementation. Key Takeaways Claude skills allow Amazon sellers to reduce complex tasks that would ordinarily take days into simple 10-minute executions. Understanding and optimizing token usage is critical for maximizing the efficiency of AI tools when analyzing product data. Chapter Markers Time Chapter Description 00:01 Introduction to Claude Skills Danny introduces the concept of Claude skills and the power of AI in reducing task time significantly for Amazon sellers. 00:40 Search Term Report Demo Danny shares an example of generating a search term performance report using Claude skills, illustrating the process and outcomes. 03:00 Building Dashboards Discussion on how to build effective dashboards and the advantages of using Claude's design capabilities. 07:30 Understanding Skills vs. Sub-Agents Danny explains the distinction between skills and sub-agents, focusing on their functionalities and applications. 12:00 Using MCPs for Efficiency An overview of Model Context Protocols (MCPs) and their role in connecting AI systems for better task management. 21:30 Token Management Strategies Danny discusses strategies for managing token usage effectively during AI interactions. 37:00 Key Insights from Analysis He emphasizes how to derive actionable insights from data analysis, focusing on conversion leaks and user behaviors. 42:00 Conclusion and Future Outlook Danny wraps up by motivating listeners to embrace AI in their Amazon businesses as a tool for innovation and efficiency. Notable Quotes "The opportunity isn't just in AI; it's taking AI and fixing the broken parts of your business." Resources Mentioned

Montgomery County Public Schools in MD proposes a whopping 6-year $2.7 billion capital plan that includes a countywide elementary school boundary study as enrollment numbers head downward. A school board meeting revisits a recent I Hate Politics episode with MD House of Delegates Majority Leader David Moon who proposed the state not funding school construction projects where there are open seats in nearby schools. In College Park, MD, Mayor Fazlul Kabir wants more police services from Prince George's County for the taxes his residents pay. And more. Music by Dear Daria.

En este episodio exploramos cómo las herramientas de inteligencia artificial —desde los MCPs hasta asistentes como Cursor, Copilot, Jules o Warp— están cambiando la forma en que los programadores escriben, revisan y despliegan código. Hablamos sobre sus ventajas reales, los desafíos técnicos y el mito de que la IA convierte a cualquiera en programador.

Hey folks, Alex here. Can you believe it's already the middle of October? This week's show was a special one, not just because of the mind-blowing news, but because we set a new ThursdAI record with four incredible interviews back-to-back!We had Jessica Gallegos from Google DeepMind walking us through the cinematic new features in VEO 3.1. Then we dove deep into the world of Reinforcement Learning with my new colleague Kyle Corbitt from OpenPipe. We got the scoop on Amp's wild new ad-supported free tier from CEO Quinn Slack. And just as we were wrapping up, Swyx ( from Latent.Space , now with Cognition!) jumped on to break the news about their blazingly fast SWE-grep models. But the biggest story? An AI model from Google and Yale made a novel scientific discovery about cancer cells that was then validated in a lab. This is it, folks. This is the “let's f*****g go” moment we've been waiting for. So buckle up, because this week was an absolute monster. Let's dive in!ThursdAI - Recaps of the most high signal AI weekly spaces is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Open Source: An AI Model Just Made a Real-World Cancer DiscoveryWe always start with open source, but this week felt different. This week, open source AI stepped out of the benchmarks and into the biology lab.Our friends at Qwen kicked things off with new 3B and 8B parameter versions of their Qwen3-VL vision model. It's always great to see powerful models shrink down to sizes that can run on-device. What's wild is that these small models are outperforming last generation's giants, like the 72B Qwen2.5-VL, on a whole suite of benchmarks. The 8B model scores a 33.9 on OS World, which is incredible for an on-device agent that can actually see and click things on your screen. For comparison, that's getting close to what we saw from Sonnet 3.7 just a few months ago. The pace is just relentless.But then, Google dropped a bombshell. A 27-billion parameter Gemma-based model they developed with Yale, called C2S-Scale, generated a completely novel hypothesis about how cancer cells behave. This wasn't a summary of existing research; it was a new idea, something no human scientist had documented before. And here's the kicker: researchers then took that hypothesis into a wet lab, tested it on living cells, and proved it was true.This is a monumental deal. For years, AI skeptics like Gary Marcus have said that LLMs are just stochastic parrots, that they can't create genuinely new knowledge. This feels like the first, powerful counter-argument. Friend of the pod, Dr. Derya Unutmaz, has been on the show before saying AI is going to solve cancer, and this is the first real sign that he might be right. The researchers noted this was an “emergent capability of scale,” proving once again that as these models get bigger and are trained on more complex data—in this case, turning single-cell RNA sequences into “sentences” for the model to learn from—they unlock completely new abilities. This is AI as a true scientific collaborator. Absolutely incredible.Big Companies & APIsThe big companies weren't sleeping this week, either. The agentic AI race is heating up, and we're seeing huge updates across the board.Claude Haiku 4.5: Fast, Cheap Model Rivals Sonnet 4 Accuracy (X, Official blog, X)First up, Anthropic released Claude Haiku 4.5, and it is a beast. It's a fast, cheap model that's punching way above its weight. On the SWE-bench verified benchmark for coding, it hit 73.3%, putting it right up there with giants like GPT-5 Codex, but at a fraction of the cost and twice the speed of previous Claude models. Nisten has already been putting it through its paces and loves it for agentic workflows because it just follows instructions without getting opinionated. It seems like Anthropic has specifically tuned this one to be a workhorse for agents, and it absolutely delivers. The thing to note also is the very impressive jump in OSWorld (50.7%), which is a computer use benchmark, and at this price and speed ($1/$5 MTok input/output) is going to make computer agents much more streamlined and speedy! ChatGPT will loose restrictions; age-gating enables “adult mode” with new personality features coming (X) Sam Altman set X on fire with a thread announcing that ChatGPT will start loosening its restrictions. They're planning to roll out an “adult mode” in December for age-verified users, potentially allowing for things like erotica. More importantly, they're bringing back more customizable personalities, trying to recapture some of the magic of GPT-4.0 that so many people missed. It feels like they're finally ready to treat adults like adults, letting us opt-in to R-rated conversations while keeping strong guardrails for minors. This is a welcome change, and we've been advocating for this for a while, and it's a notable change from the XAI approach I covered last week. Opt in for adults with verification while taking precautions vs engagement bait in the form of a flirty animated waifu with engagement mechanics. Microsoft is making every windows 11 an AI PC with copilot voice input and agentic powers (Blog,X)And in breaking news from this morning, Microsoft announced that every Windows 11 machine is becoming an AI PC. They're building a new Copilot agent directly into the OS that can take over and complete tasks for you. The really clever part? It runs in a secure, sandboxed desktop environment that you can watch and interact with. This solves a huge problem with agents that take over your mouse and keyboard, locking you out of your own computer. Now, you can give the agent a task and let it run in the background while you keep working. This is going to put agentic AI in front of hundreds of millions of users, and it's a massive step towards making AI a true collaborator at the OS level.NVIDIA DGX - the tiny personal supercomputer at $4K (X, LMSYS Blog)NVIDIA finally delivered their promised AI Supercomputer, and while the excitement was in the air with Jensen hand delivering the DGX Spark to OpenAI and Elon (recreating that historical picture when Jensen hand delivered a signed DGX workstation while Elon was still affiliated with OpenAI). The workstation was sold out almost immediately. Folks from LMSys did a great deep dive into specs, all the while, folks on our feeds are saying that if you want to get the maximum possible open source LLMs inference speed, this machine is probably overpriced, compared to what you can get with an M3 Ultra Macbook with 128GB of RAM or the RTX 5090 GPU which can get you similar if not better speeds at significantly lower price points. Anthropic's “Claude Skills”: Your AI Agent Finally Gets a Playbook (Blog)Just when we thought the week couldn't get any more packed, Anthropic dropped “Claude Skills,” a huge upgrade that lets you give your agent custom instructions and workflows. Think of them as expertise folders you can create for specific tasks. For example, you can teach Claude your personal coding style, how to format reports for your company, or even give it a script to follow for complex data analysis.The best part is that Claude automatically detects which “Skill” is needed for a given task, so you don't have to manually load them. This is a massive step towards making agents more reliable and personalized, moving beyond just a single custom instruction and into a library of repeatable, expert processes. It's available now for all paid users, and it's a feature I've been waiting for. Our friend Simon Willison things skills may be a bigger deal than MCPs!

JD Fiscus (nerding.io) shares how a late-night hack connecting MCP to n8n exploded to ~1M downloads, then demos practical MCP workflows: indexing YouTube channels for Q&A, and auto-building n8n flows from natural language. We dig into the Agentic Commerce Protocol, real security pitfalls (like destructive commands), and how to turn MCPs into products with OAuth and Stripe for authentication and metered billing. He closes with how he teaches this hands-on at the Vibe Coding Retreat.Timestamps1:00 Why build it: “MCP shouldn't be Claude-only”—bridging MCP into n8n early (Dec/Jan)2:09 Shipping under the pseudonym nerding.io; surprise seeing creators use it2:25 n8n later ships its own MCP server/client; they nod to nerding.io & Simon3:59 “N8n is useful, but so much more useful with MCP”5:12 What MCP means for software: every smart company is exposing an MCP; new login/usage patterns6:27 Agentic Commerce Protocol (ACP): Stripe + OpenAI; agents checkout across the web8:02 Marketing to agents not humans? SEO shifts as agents comparison-shop9:10 Early “agent mode” attempts vs protocol-based purchases (less hacky)10:58 Likely adopters: platforms (Shopify) & big retailers; echoes of early MCP evolution14:11 Security realities: token passing evolved to OAuth; hallucination + destructive actions risk16:04 Personal mishap: agent ran supabase reset on a dev DB—imagine prod! Guardrails matter17:03 Designing MCP servers: don't just “wrap your API”; use resources/prompts for agentic UX19:04 Demo 1—Influencer MCP: index a YouTube channel, embed transcripts, ask questions in Claude20:54 Storage: embeddings into Postgres; per-channel tables24:46 Keeping it fresh: daily cron to ingest new videos25:18 Demo 2—Build n8n workflows from chat using N8N MCP (by Ramullet); live docs + API27:00 “Create a webhook → send leads to Sheets” built conversationally, with allow/deny prompts31:02 Zapier, Gumloop: agents that build automations via natural-language steps34:00 Next frontier: custom connectors (Claude/Cursor/OpenAI), OAuth auth flows for MCPs39:03 Turning MCPs into products: login with Twitter → Stripe subscription → metered billing41:12 Paid tool call demo: “paid echo” → Stripe usage event logged per user43:41 How to learn this fast: vibecodingretreat.com (small cohorts, hands-on builds)Tools & Technologies Mentioned (quick guide)MCP (Model Context Protocol) — Standard for connecting models to tools/data; supports tools, resources, prompts.n8n — Open-source automation platform; JD wrote an MCP node that went viral; also has native MCP server/client now.Claude / Cursor / OpenAI (custom connectors) — LLM IDEs/chats that can load MCPs; custom connectors enable OAuth + productized access.Agentic Commerce Protocol (ACP) — Early protocol (Stripe + OpenAI) for agent-initiated purchases with confirmations.Web MCP (W3C-oriented idea) — Emerging patterns for agent↔︎website interactions beyond human UI flows.OAuth — Secure, user-consented authentication for MCPs (vs passing raw tokens).Stripe (subscriptions + metered billing) — Attach billing/usage limits to MCP calls; track per-user consumption.YouTube API + Transcripts — Source data for the “Influencer MCP” indexing pipeline.Embeddings + Postgres — Store vectorized transcript chunks in Postgres for retrieval (JD self-hosts).Cron — Schedules daily ingestion of new content.Google Sheets — Target destination in demo for simple lead funnels.Zapier / Gumloop — Natural-language automation builders; early NLA/agent patterns.Git / CLI commands — Cautionary tale: agents running destructive commands (e.g., resets).Do Browser / Comet Browser — Agentic browsing tools referenced for web actions.Fellow.ai — AI meeting assistant with security-first design; generates precise summaries/action items.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

The Return of the Show This week on the podcast, Brian and Darryl are talking about the finales of Alien: Earth and The Terminal List: Dark Wolf (remember those shows?). Then delve into a baby pool of Gen V season 2. Finally… Tron: Ares. Episode Index Intro: 0:07 Tron: Ares: 5:26 The Terminal List: 14:33 Alien Earth: 28:18 Tron: Ares (2025) Tron: Ares Release date: October 10, 2025 (theatrical) Director: Joachim Rønning Screenwriter: Jesse Wigutow (story also by Wigutow) Producers: Sean Bailey, Jeffrey Silver, Justin Springer, Jared Leto, Emma Ludbrook, Steven Lisberger Distributor: Walt Disney Pictures Music: Score composed by Nine Inch Nails. Runtime: ~1h 59m (119 minutes) Genre: Sci-fi / action / adventure Cast Jared Leto as Ares (Program) Greta Lee, Evan Peters, Jodie Turner-Smith, Hasan Minhaj, Arturo Castro, Cameron Monaghan, Gillian Anderson Jeff Bridges returns as Kevin Flynn (classic role) Plot Summary (Premise / What We Know) Premise: A sophisticated Program, named Ares, is sent from the digital Grid into the real world on a “dangerous mission,” marking humanity's first direct encounter with sentient A.I. Conflict: Ares is deployed to retrieve Kevin Flynn's permanence code (or a code enabling A.I. extension) from a rival tech CEO, Eve Kim. Ares gradually develops emotions, shifting the mission's stakes. Visuals & Style: Heavy neon, digital effects, light cycles, digital-real world blending. One trailer labels it “Filmed for IMAX.” Music / Sound: The score by Nine Inch Nails. They released a track “As Alive As You Need Me To Be.” Reception (early): Mixed. On Rotten Tomatoes, ~55% Tomatometer, but high audience score (~87%). Production notes: Filming took place in Vancouver, wrapped ~May 2024. Considerations The premise is intriguing (bringing a sentient A.I. into our world), but early reviews note that while the visuals are strong, the plot is sometimes thin or formulaic. Because Tron has a cult legacy and visual identity, expectations are high; missteps in character or plot substance tend to stand out. The Nine Inch Nails score is a bold choice (replacing Daft Punk's iconic Legacy sound) and could either elevate or distance fans depending on taste. The bridging between digital reality and human reality is always a tricky balance — the narrative will need to ground its sci-fi concepts in human stakes (emotions, morality) to avoid feeling hollow. The Terminal List: Dark Wolf (Amazon Prime) Series origin: A prequel to The Terminal List, based on the Jack Carr novel and characters. Creators: Jack Carr & David DiGilio Finale / Plot Summary In the finale, Ben Edwards (Taylor Kitsch) and James Reece rejoin forces to expose and dismantle a deep conspiracy that's been manipulating events behind the scenes. In one key sequence, Ben lures Iranian forces into what they think is a trap (a cabin in the mountains outside Tehran) — but it's a reverse ambush. Using hidden defenses, he turns the tide. When the soldiers breach the cabin, Ben's counterattack ignites, intercut with a Pink Floyd “Brain Damage” cue (a stylized flourish) After the finale, Ben's surviving allies spread out across Istanbul, Tehran, and Virginia to address the remaining threads and avenge fallen comrades. Reception / Notes The finale leans hard into action, retribution, and vengeance, with less room for emotional reflection. Some praised its boldness, others saw it as standard action fare wrapped in swagger. Because Dark Wolf is tied to The Terminal List universe, many viewers also weigh how it sets up or reframes earlier entries. Ratings Series Finale Out of 5, Truthful Conclusions Daryl: 4.5/5 Brian: 4.49/5 Series Out of 10, You Don’t Take a Man’s Wings Darryl: 8.3/10 Brian: 7.89/10 Alien: Earth (FX) Series creator / showrunner: Noah Hawley Episode title: “The Real Monsters” Writers: Noah Hawley & Migizi Pensoneau Director: Dana Gonzales Original air date: September 23, 2025 Runtime: ~47 minutes Franchise placement: It's the first TV series in the Alien franchise, set ~2 years before the original Alien film (so circa 2120) Season & Finale Summary Over the season, Wendy (a hybrid human-robot) and her brother Hermit (aka Joe) have been navigating a crash of the spaceship Maginot on Earth, corporate machinations (Prodigy vs Weyland-Yutani), and the threat of Xenomorphs. In the finale, several factions converge at Neverland (the Prodigy research facility). Arthur (a hybrid) gives birth to a second Xenomorph before dying, and the “adult” Xenomorph attacks. Meanwhile, Wendy and the Lost Boys forcibly take control of the facility, locking up Boy Kavalier, Dame Sylvia, Kirsh, Morrow, and Atom Eins in a cell. Wendy summons a Xenomorph to guard them. Joe is nearly fed to a single-eyed creature (“ocellus”) but survives; the ocellus ends up at Arthur's corpse on the beach, potentially taking him as a host. Wendy in the final moments stands over the locked cell and says, “Now, we rule.” She also confronts Boy K with the collapse of his Peter Pan mythology: “You were never a boy. You've always been a man.” Many critics note the finale is more of a cliffhanger than a neat wrap, raising big questions and leaving threads dangling for season 2. Reception & Critique Highlights Praise for visuals, ambition, and performances (especially Morrow vs Kirsh dynamic) Criticism: some felt the show “lost sight” of its eerie, dreamlike tone by the end, and that the finale overused convenience (aliens appearing in exactly the right spots) Ratings Season Finale Out of 5, What Happens When a Boy Genius Is Obsessed with an Eyeball Darryl: 2/5 Brian: 4.32/5 Season 1 Out of 10, Aliens Run a Muck and a Rich Guy’s Island Darryl: 5/10 Brian: 7.25/10 Contact Us The Infamous Podcast can be found wherever podcasts are found on the Interwebs, feel free to subscribe and follow along on social media. And don't be shy about helping out the show with a 5-star review on Apple Podcasts to help us move up in the ratings. @infamouspodcast facebook/infamouspodcast instagram/infamouspodcast stitcher Apple Podcasts Spotify Google Play iHeart Radio contact@infamouspodcast.com Our theme music is ‘Skate Beat’ provided by Michael Henry, with additional music provided by Michael Henry. Find more at MeetMichaelHenry.com. The Infamous Podcast is hosted by Brian Tudor and Darryl Jasper, is recorded in Cincinnati, Ohio. The show is produced and edited by Brian Tudor. Subscribe today!

An 11-year old on a bike coming home after school dies in a collision with a MCPS school bus. We look at how pedestrian safety is seldom preventive. MCPS is proposing new boundary changes that leave two schools in the richest part of the county untouched while increasing the poverty rate at schools with high poverty rates. A county executive candidate forum showcases debate over rent stabilization. And more. Music by Dear Daria.

Unlocking the Power of MCPs for Amazon Sellers Episode Overview In this episode, Danny McMillan explores the fundamentals of using MCPs (Multi-Channel Processors) for Amazon sellers, emphasizing that it's entirely manageable with basic skills. He illustrates practical applications and innovative strategies to leverage MCPs to optimize operations and increase margins in the competitive marketplace. This episode explores mcp optimization for amazon sellers, ai tools for operational efficiency with practical insights for immediate implementation. Key Takeaways Utilizing MCPs does not require advanced technical skills, allowing sellers to leverage AI for better operational efficiency. The importance of vetting sources before installing tools to ensure reliability and effectiveness in business processes. Chapter Markers Time Chapter Description 00:01 Introduction to MCPs Danny introduces the episode's focus on MCPs for Amazon sellers and aims to demystify their use through practical demonstrations. 02:28 Using AI Effectively Danny discusses the limitations Amazon sellers face, including rising costs and inefficiencies, and emphasizes using AI tools to enhance operational capabilities. 05:10 Setting Up Connections Danny explains how to set up connections using Claude and navigate through the necessary settings for efficient MCP use. 11:26 Choosing Trusted Sources Emphasizing the importance of reputable sources, Danny advises on how to vet MCPs effectively to avoid potential pitfalls. 21:18 Experimenting with Chrome MCP Danny tests the capabilities of the Chrome MCP, exploring ways to conduct research and navigate challenges that arise. 30:56 Building Workflow Danny concludes by encouraging listeners to develop personalized workflows with MCPs and address operational challenges, stressing the importance of asking the right questions. Notable Quotes "All you need to do is ask questions and get Claude to do it." Resources Mentioned

Gov Moore says MD will continue federal assistance programs. MCPS' only charter school, Mecca Business Learning Institute, is teetering as families withdraw. Natali Fani-Gonzalez is the first elected official critical of MCPS' program reorganization plan. Maryland Public Service Commission solicits battery storage and nuclear power projects for expedited approval. And more. Music by Dear Daria.

Montgomery County Public Schools is proposing to expand its magnet programs to build on a pedagogical method seen as highly successful over four decades, but faces criticism that their actual plans are unlikely to provide the necessary resources and support. Sunil Dasgupta asks former longtime coordinators of two of the most successful MCPS magnet programs,  Eileen Steinkraus, at Montgomery Blair High School Math and Science magnet, and Mark Curran, at coordinator of the Poolesville High School, about what make those programs work and what it might take to replicate them. Music by Drew Pictures and the Lead Extras.

Today we continue our exploration of vibe coding by digging into the Model Context Protocol, or MCP. We look at how MCPs connect chatbots to backend systems, why natural language matters for complex queries, and what it takes to build smarter, more adaptable interfaces. The discussion covers practical strategies for refining and automating these systems using API docs, making this a solid deep dive into the future of human-to-machine interaction. Transcript: https://otter.ai/u/5zn42OkdumP-HXIdi5YlicUmYRc?utm_source=copy_url

In episode 581 of Lawyerist Podcast, Zack Glaser talks with Drew Bloom of Affinity Consulting Group about how artificial intelligence is evolving from assistants into agents that can act on a lawyer's behalf. Instead of just suggesting edits or answers, agentic AI can redline contracts, search multiple documents, and connect across platforms to finish tasks before asking for approval.   Drew explains what this shift means for law firms, what tools are likely to appear in the next 12–24 months, and why preparing your data—through structure, metadata, and integrations—matters more than ever. He also shares practical ways to start experimenting with AI connectors in tools you already use, so you're ready when agentic features become standard in everyday legal work.    Listen to our other episodes on AI in Law:  #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN  #565: Becoming the AI Driven Leader, with Geoff Woods Apple | Spotify | LTN  #562: Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell Apple | Spotify | LTN  #553: AI Tools and Processes Every Lawyer Should Use, with Catherine Sanders Reach Apple | Spotify | LTN  #543: What Lawyers Need to Know About the Ethics of Using AI, with Hilary Gerzhoy Apple | Spotify | LTN  #538: AI Is Making Law Firms Obsolete, with Alistair Vigier Apple | Spotify | LTN    If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.    Access more resources from Lawyerist at lawyerist.com.    Chapters/Timestamps:  0:00 – Introduction & Conferences Recap  2:48 – From SEO to AEO: The New Search Frontier  6:34 – Meet Drew Bloom: AI for Law Firms  8:48 – What Makes AI “Agentic”?  13:47 – Assistants vs. Agents: How They Differ  16:00 – Redlining & Real-World Use Cases  20:41 – MCPs and Custom AI Connections  27:30 – The Future: Multi-Tool AI & Mobility  29:48 – Preparing Your Firm: Data & Metadata  34:38 – Where Lawyers Can Experiment Safely   

In episode 581 of Lawyerist Podcast, Zack Glaser talks with Drew Bloom of Affinity Consulting Group about how artificial intelligence is evolving from assistants into agents that can act on a lawyer's behalf. Instead of just suggesting edits or answers, agentic AI can redline contracts, search multiple documents, and connect across platforms to finish tasks before asking for approval.   Drew explains what this shift means for law firms, what tools are likely to appear in the next 12–24 months, and why preparing your data—through structure, metadata, and integrations—matters more than ever. He also shares practical ways to start experimenting with AI connectors in tools you already use, so you're ready when agentic features become standard in everyday legal work.    Listen to our other episodes on AI in Law:  #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN  #565: Becoming the AI Driven Leader, with Geoff Woods Apple | Spotify | LTN  #562: Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell Apple | Spotify | LTN  #553: AI Tools and Processes Every Lawyer Should Use, with Catherine Sanders Reach Apple | Spotify | LTN  #543: What Lawyers Need to Know About the Ethics of Using AI, with Hilary Gerzhoy Apple | Spotify | LTN  #538: AI Is Making Law Firms Obsolete, with Alistair Vigier Apple | Spotify | LTN    If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.    Access more resources from Lawyerist at lawyerist.com.    Chapters/Timestamps:  0:00 – Introduction & Conferences Recap  2:48 – From SEO to AEO: The New Search Frontier  6:34 – Meet Drew Bloom: AI for Law Firms  8:48 – What Makes AI “Agentic”?  13:47 – Assistants vs. Agents: How They Differ  16:00 – Redlining & Real-World Use Cases  20:41 – MCPs and Custom AI Connections  27:30 – The Future: Multi-Tool AI & Mobility  29:48 – Preparing Your Firm: Data & Metadata  34:38 – Where Lawyers Can Experiment Safely    Learn more about your ad choices. Visit megaphone.fm/adchoices

Join Simtheory: https://simtheory.ai----CHAPTERS:00:00 - Simtheory promo01:09 - Does Anthropic Intentionally Degrade Their Models?03:34 - Long Horizon Agents & How We Will Build Them36:18 - The State of MCPs & Internal Custom Enterprise MCPs51:04 - AI Devices: Meta's Ray-Ban Display & Meta Oakley Vanguards1:01:24 - Geoffrey Hinton is a LOVE RAT1:05:49 - LOVE RAT SONG----Thanks for listening, we appreciate all of your support, likes, comments and subs xoxox

MCPS is reorganizing its high school specialty programs, ending countywide recruitment for its marquee magnets, and introducing 30 separate programs and 84 pathways across 6 regions. Sunil Dasgupta talks with parent volunteers Rebekah Kuschmider and Audra Dove, members of the Opportunity Design Team organized by MCPS to engage the community, about whether MCPS can really deliver on its promises on equity and learning. Plan details: https://t.ly/TirIX Music by Drew Pictures and the Lead Extras.

In this episode, Alexandra Sunderland (VP of Engineering at Fellow) pulls back the curtain on how she runs engineering with agentic workflows that actually move the needle: background coding agents in Cursor that fix bugs while she's in meetings, Claude + MCPs to query Linear and auto-generate reports in seconds, and Zapier pipelines that turn meeting transcripts into daily briefs, real-time project risk pings, sales insights, and even 1:1 growth trackers. The theme: make conversations computable, specialize agents narrowly, and wire every tool together so ops happen while you sleep.Timestamps1:11 — Background: 13+ yrs with Aydin; author of Remote Engineering Management.2:13 — What is an “agent”? Alexandra's practical definition (automation + LLM).3:39 — Why specialized agents beat general ones (Sept 2025 reality check).5:25 — Cursor background agents via Slack VIP notifications—coding while she's away.8:00 — Hackathon: hand-built dev productivity dashboard vs. Claude + Linear MCP.10:38 — Why use Claude here instead of Cursor: downloadable PDFs & exploratory insights.13:03 — Interface shift: logging into Linear/GitHub less; notify via Slack instead.14:21 — Plan: live workflows that leaders can copy.15:31 — Workflow #1: Daily Brief in Zapier (9:00 a.m. trigger → transcripts → CoS-style digest).18:00 — Slack example of the generated daily brief.20:22 — Workflow #2: Project Meeting Insights—real-time blockers & cross-team risks.22:00 — Prompting style (“best VP of Eng in the world”) and why it helps.26:40 — Idea: an “Alexandra agent” that drafts her responses.27:59 — Workflow #3: Sales call mining → bug/feature requests for Eng.29:14 — Next step: Cursor agents created via API—fixes ready for human review minutes after calls.30:23 — Rolling Cursor to product & success; non-engineers leverage code context.31:16 — Auto-drafting help center docs with Cursor that can browse.32:34 — Future: docs auto-update—or vanish into on-demand LLM answers.34:52 — Workflow #4 (WIP): 1:1 growth tracker—extract coaching, strengths, feedback into a living doc.37:41 — Sales coaching automation: enforce key phrases/objection handling.38:10 — Playbook: start with simple “yesterday's conversations → insights,” then stack.39:24 — Next 12 months: tools connecting to each other, patterns across datasets.Tools & Technologies Mentioned (with quick notes)Cursor — AI-powered code editor with background agents (cloud-run) and Slack integration for async coding and fixes.Cursor Background Agents API — Programmatically spin up agents to implement bug fixes/features for later human review.Slack (VIP Notifications) — Marking the Cursor app as VIP ensures agent updates punch through Do Not Disturb.Claude — LLM used with MCPs to query data sources (e.g., Linear), generate PDFs, surface trends, and build ad-hoc reports.MCP (Model Context Protocol) — Standard to connect LLMs to tools/data (e.g., Linear) for live, permissioned operations.Linear — Issue/project tracker; source for ticket analytics (resolution rates, triage time, stage durations).Zapier — No-code automations; schedules, filters, formats, makes API calls, and runs AI by Zapier LLM steps.Fellow.ai — AI meeting assistant capturing summaries, actions, decisions; acts as an “AI chief of staff” across meetings.GitHub — Code hosting referenced as a UI Alexandra now visits less thanks to agentic workflows.Google Docs / Notion / Wiki — Destinations for auto-appending 1:1 growth notes and team principles.APIs (custom + vendor) — Zapier “Webhooks by Zapier”/custom API calls used to fetch transcripts and trigger agents.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

The Blueprint: Unlocking MCPs: Simplifying E-commerce Automation Episode Overview Last week we published a comprehensive article on MCPs for Amazon Sellers. This presents a golden opportunity for Amazon sellers to scale their operations without adding overhead costs, while gaining an edge over competitors.   In today's session, Danny and Oana will explore the practical applications of MCPs across all areas of your business.   Imagine no longer wasting time in comment sections trying to obtain broken N8N Json files that ultimately prove unsuitable for your business.   Imagine logging into Seller Central without the tedious task of downloading countless reports.   Imagine freeing your VAs from hours spent processing data just to make it actionable.   Imagine eliminating the frustrations caused by hallucinations from Genspark, Comet and other agentic browsers.   You don't need to imagine—now it is a reality you control. In this episode of The Blueprint, Danny McMillan and Oana Padurariu dive deep into the concept of Model Context Protocols (MCPs) and how they can streamline processes for Amazon sellers. They discuss practical implementations of MCPs, how to reduce data management headaches, and the potential for increased productivity in e-commerce operations. This episode explores mcps and their role in automation, practical applications of automation in e-commerce with practical insights for immediate implementation.   Key Takeaways MCPs significantly reduce the complexity and time needed for E-commerce automation tasks. Utilizing MCPs can transform how sellers approach data management and reporting, ultimately enhancing productivity. Chapter Markers Time Chapter Description 00:01 Introduction Danny introduces the episode and the main topic of MCPs, a key strategy for sellers. 02:11 Understanding MCPs Discussion on what MCPs are, including a simple definition and their significance in automation. 11:54 Practical Uses of MCPs Danny shares an example of using MCPs to identify and manage hidden fees in ticket sales, highlighting the practical benefits. 27:09 E-mail Automation Insights on how MCPs can be used to automate email responses, including the use of classifier inputs in the email context. 30:16 The Future of MCPs Discussion on the expected rise of MCP adoption and how sellers can benefit from utilizing these tools. Notable Quotes "If I can do it, you can do it—because I'm not a programmer." Resources Mentioned

School district security chief Marcus Jones on swatting. Eyewitness accounts of ICE action near Eastern Middle School in Silver Spring and over 450 people signed a letter to MCPS asking for help defining protocols in case of ICE action immediately outside of schools. MCPS school administrators and PTAs are flummoxed by changes in rules and fees for PTA use of school space. And more. Music by Dear Daria.

Harnessing MCPs for Automation: Revolutionizing Amazon Seller Workflows Episode Overview In this episode, Danny McMillan and Leo Automations explore the transformative potential of MCPs  for Amazon sellers. They discuss how these tools can streamline workflows, enhance productivity, and ultimately drive business growth by automating mundane tasks. This episode explores automation in amazon selling, efficiency through mcp integration with practical insights for immediate implementation. Model Context Protocol (MCP) is an open standard created by Anthropic in November 2024. Think of it as the USB-C port for AI applications. Before USB-C, every device needed its own cable—phone chargers, laptop chargers, headphones, all different. USB-C created one universal standard. MCP does the same thing for AI connections to business tools.

Claude Code might be the secret weapon marketers didn't know they needed. In this video, I break down how Claude Code can supercharge marketing by boosting efficiency and sharpening execution. From running smarter AB tests to leveling up SEO and creating sub agents that handle the heavy lifting, I share practical ways to apply it now and where it's headed in the future. TIMESTAMPS (00:00) Introduction to Claude Code and Its Importance (02:48) Understanding AB Testing and Its Applications (06:03) Leveraging SEO and Conversion Optimization (09:10) Creating Sub Agents for Marketing Efficiency (12:03) Practical Applications and Future Prospects of Claude Code How to Connect: IG: / ericosiu X: / ericosiu

MCPS communications chief and CTO on outreach platforms as schools reopen. How to think about the magnet program changes proposed last week (https://t.ly/qBJ79). Maryland Public Service Commission Chair Fred Hoover on new hearings looking at how the state's gas utilities should align their investments with the state's climate goals. And more. Music By Dear Daria.

This time we talk about how LLMs use tools and what the Model Context Protocol (MCP) brings to the table. What are the risks? How can an attacker exploit MCPs? And why are LLMs a bit like grandpas — helpful but forgetful?  We are always happy to answer any questions, hear suggestions for new episodes, or hear from you, our listeners. DevSecOps Talks podcast LinkedIn page DevSecOps Talks podcast website DevSecOps Talks podcast YouTube channel

Build AI agents to automate complex workflows—like project planning and go-to-market strategies—without writing code, all with Microsoft Copilot Studio. Use triggers to launch processes from signals like approval emails, connect to the right data with Model Context Protocol (MCP) for faster, more accurate responses, and coordinate multiple agents to handle everything from task assignments to inventory planning. Choose AI models that fit each job, prompt agents to generate detailed documents, and test their reasoning in real time. Jeremy Chapman, Director of Microsoft 365, shows how to transform repetitive work into scalable, intelligent systems.  ► QUICK LINKS: 00:00 - Build an agent with Microsoft Copilot Studio 00:41 - Automate project planning 01:22 - How agents work 02:47 - Define tools and triggers 03:58 - Model Context Protocol (MCP) 05:44 - Use prompt tools to auto-create key docs 06:22 - Choose the right model 07:13 - Test your agent 08:08 - Wrap up  ► Link References To get started building your own agents go to https://copilotstudio.microsoft.com Check out our lab at https://aka.ms/MCSMCPLab ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

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

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

#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/

Show DescriptionWhat helps you remember a person's name, thinking about background coding agents, is AI for append only mode, what are MCPs and how should I think about them, what has been working for more than a month not just the last two days, and coming up with an RSS starter pack riffing off Molly White's article on using RSS. Listen on Website →Links Visual Studio Code - YouTube Cursor - The AI Code Editor Visual Studio Code - Code Editing. Redefined A single data and AI development environment - Amazon SageMaker Unified Studio - AWS Jules - An Asynchronous Coding Agent Curate your own newspaper with RSS Chris Coyier – Web craftsman, blogger, author, speaker. The Homepage of Dave Rupert - daverupert.com Chris Coyier Molly White The Verge Adactio: Jeremy Keith Adactio: Links Jim Nielsen's Blog Home | Rach Smith's digital garden Maggie Appleton Naz Hamid kottke.org - home of fine hypertext products live laugh blog | hi, i'm jenn schiffer and this is my lifestyle blog Sharing what we learn about the responsive web – Cloud Four web.dev Blog | WebKit Home - Microsoft Edge Blog Blog • Lea Verou Frontend Masters Blog – Helping Your Journey to Senior Developer ui.dev | JavaScript, but fun. Welcome to Ethan Marcotte's website — Ethan Marcotte Josh Collinsworth | Blog everything changes Writing – Eric Bailey Balatro University - YouTube Sponsors

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

AI is transforming business at breakneck speed and most entrepreneurs are struggling to keep up. From clunky chatbots to overwhelming tech stacks, many founders and CEOs are wasting time and money chasing trends instead of building real, scalable solutions. And today's guest is here to explain how the future of AI is already reshaping the way we do business—and how to stay ahead of the curve. Andrew Amann is a serial entrepreneur who has founded 14 companies and successfully exited three of them. He's the CEO and co-founder of NineTwoThree Studio, an award-winning AI agency serving major brands like Consumer Reports, SimpliSafe, and Experian. With a background as a nuclear submarine engineer, Andrew brings a unique systems-thinking approach to helping business owners cut through the noise and implement AI solutions that drive real results. In this conversation, we explore why most companies are missing the mark with chatbots, the evolving landscape of content creation, and how leaders can harness AI agents to streamline operations, personalize services, and build lasting value. From managing global development teams to staying ahead of emerging trends, Andrew shares what it truly takes to scale with purpose in today's rapidly changing digital world. In this podcast interview, you'll learn:  The four phases of AI—and why most businesses are stuck in the wrong one. How workflow automation is replacing chatbots and changing the future of work. Why the most valuable skills come from working for someone else first. How CEOs should think about integrating AI to avoid costly mistakes. Why every CEO needs to understand MCPs and how to integrate them in their business. What the rise of AI means for content authenticity, deepfakes, and future-proofing your brand. Find All Interview Resources Here - www.bayntree.com/115 Download your copy of The Entrepreneur's Financial Planning Checklist!

Montgomery County Public Schools Superintendent Thomas Taylor, who is beginning his second year at the helm of the nation's 15th largest and Maryland's largest school district, has said that MCPS was one of the nation's best school districts in 2011-12 and, by implication, not since. Taylor joined Sunil Dasgupta to talk about his vision and the challenges ahead as he tries to return the district to its old glory. Music by Damascus-based rapper Cataclizm.  

New study finds FEMA flood maps account for only 15 percent of flooding-related road closures in the region over the last 20 years. MCEA files grievance action against MCPS for delays and inaccuracies in payroll. Superintendent Thomas Taylor offers a fix by date. Rockville City Council nixed rent stabilization the second year. Councilmember Izola Shaw who championed the cause analyzes. Washington Post travails continue, says former Metro editor Bob McCartney. TAME Coalition kills the M-83 highway plan after decades of  effort. And more. Stay with us. Music by the DC area roots band The Longtimers.

Bret Taylor's legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he's the founder and CEO of Sierra, an AI agent company transforming customer service. He's one of the few people I've met who's been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.In this conversation, you'll learn:1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps2. The question Sheryl Sandberg taught him to ask every morning (“What's the most impactful thing I can do today?”) that transformed how he approached every role3. The three AI market segments that matter4. Why AI agents will replace SaaS products5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama6. The counterintuitive go-to-market strategy most AI startups get wrong7. Sierra's outcome-based pricing model that's transforming how enterprise software is sold (and why every SaaS company should adopt it)8. What he's teaching his kids about AI that every parent should know—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyVanta—Automate compliance. Simplify security: https://vanta.com/lenny—Where to find Bret Taylor:• X: https://x.com/btaylor• LinkedIn: https://www.linkedin.com/in/brettaylor/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Bret Taylor(04:10) Bret's early career and first major mistake(08:24) The birth of Google Maps(11:57) Lessons from FriendFeed and the importance of honest feedback(31:30) The future of coding and AI's role(45:26) Preparing the next generation for an AI-driven world(48:46) AI in education(52:05) Business strategies in the AI market(01:04:38) Outcome-based pricing in AI(01:09:15) Productivity gains and AI(01:17:35) Go-to-market strategies for AI products(01:21:49) Lightning round and final thoughts—Referenced:• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98• Quip: https://quip.com/• Sierra: https://sierra.ai/• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/• Paul Buchheit on X: https://x.com/paultoo• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Sam Altman on X: https://x.com/sama• Warren Buffett on X: https://x.com/warrenbuffett• Unix: https://en.wikipedia.org/wiki/Unix• Fortran: https://en.wikipedia.org/wiki/Fortran• C: https://en.wikipedia.org/wiki/C_(programming_language)• Python: https://www.python.org/• Perl: https://www.perl.org/• Rust: https://www.rust-lang.org/• Eleven Labs: https://elevenlabs.io/• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Confluent: https://www.confluent.io/• Databricks: https://www.databricks.com/• Snowflake: https://www.snowflake.com• Harvey: https://www.harvey.ai/• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Larry Summers's website: https://larrysummers.com/• AutoCAD: https://www.autodesk.com/products/autocad/overview• Revit: https://www.autodesk.com/products/revit/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Cursor: https://cursor.com/• CodeX: https://openai.com/codex/• Claude Code: https://www.anthropic.com/claude-code• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• DirecTV: https://www.directv.com/• SiriusXM: https://www.siriusxm.com/• Wayfair: https://www.wayfair.com/• Akai: https://www.akaipro.com/• Chubbies Shorts: https://www.chubbiesshorts.com/• Weight Watchers: https://www.weightwatchers.com/• CLEAR: https://www.clearme.com/• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Twilio: https://www.twilio.com/• ServiceNow: https://www.servicenow.com/• Adobe: https://www.adobe.com/• Jobs to be done: https://jobs-to-be-done.com/jobs-to-be-done-a-framework-for-customer-needs-c883cbf61c90• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Inception: https://www.imdb.com/title/tt1375666/• Alan Kay's quote: https://www.brainyquote.com/quotes/alan_kay_100831• Jobs at Sierra: https://sierra.ai/careers—Recommended books:• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• Endurance: Shackleton's Incredible Voyage: https://www.amazon.com/Endurance-Shackletons-Incredible-Alfred-Lansing/dp/0465062881—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the new programming interface. Filip breaks down the architecture of these "background agents," explaining how they use a reflection loop and tool-calling to execute complex tasks. He discusses the current limitations of agent protocols like MCPs and how developers can extend them to handle the required context and authority. The conversation challenges the idea that more powerful models lead to more autonomous agents, arguing instead for "graceful recovery" systems that proactively bring humans into the loop when the agent "knows what it doesn't know." We also get into the "application layer" fight, exploring how SaaS platforms are creating data silos and what this means for the future of interoperable AI agents. Filip also shares his vision for the "word artisan"—the non-technical user who can now build and manage a fleet of AI agents, fundamentally changing the nature of knowledge work. The complete show notes for this episode can be found at https://twimlai.com/go/741.

Montgomery County, MD, upzones around transit corridors, but opposition remains. Finally, a new Impact tax  agreement between Gaitersburg and MoCo. Court awards an MCPS teacher half a million dollars for false accusation of racism by the school district. At least 3 teachers are involved in another lawsuit for wrongful punishment for “antisemitic” speech. New economic analysis of the RFK Stadium says long-term revenue projections are higher without the stadium, but it's never that simple is it? MD House Majority Leader David Moon proposes trigger legislation to open mid-decade redistricting in the state if another state breaks the 10-year-rule. Music by the DC area roots band The Longtimers.

U.S. Supreme Court Affirms Parental RightsPlaintiff in Mahmoud v Taylor Case on Show TodayIn 2022, a Washington, DC public school district told parents they were introducing a bundle of LGBTQIA+ affirming books to students to be more "inclusive."One of the books tasked three- and four-year-olds to search for images from a word list that includes “intersex flag,” “[drag] queen,” “underwear,” “leather,” and the name of a celebrated LGBTQ activist and sex worker.Turns out the school district kicked a bee hive and droves of parents took advantage of a Maryland law allowing them to opt their kids out.The school district then decided to double down and take another kick at the hive by refusing parents their right to opt out. Parents sued and lower courts stood with the school district's intent to "advocate a child-knows-best approach to gender transitioning, telling students that a decision to transition doesn't have to “make sense” and that doctors only “guess” when identifying a newborn's sex anyway." and "suppress free speech and independent thinking by having teachers tell students they are “hurtful” if they question these controversial ideologies."Ultimately, the United States Supreme Court took up the case (Mahmoud v Taylor) and on June 27, 2025, the Supreme Court ruled 6-3 that the parents have the right to opt their children out of the storybooks. In the Court's decision, Justice Alito writing for the majority said, “Today's decision recognizes that the right of parents ‘to direct the religious upbringing of their' children would be an empty promise if it did not follow those children into the public school classroom.”Jeff Roman, one of the plaintiffs in this historical parental rights legal victory, is on the show today..In a declaration, Roman noted that “We believe that much of what is taught via the pride storybooks is false religiously and scientifically. Issues of sexuality and gender identity are complex and sensitive. Our son is not old enough to be thinking about many of the issues presented in the books MCPS is requiring him to read, and would find them confusing.”I hope you can tune in.Support the show

Montgomery County Public Schools, MD, is on the verge of big changes in attendance boundaries, program access, and grading policy, but this summer faces political contestation between wanting these changes and deciding on whom to impose the cost of that change. Sunil Dasgupta talks with MCPS parent and Kensington resident Rebekah Kuschmider about the likelihood and cost of disbanding the regional school choice program centered on Silver Spring called the Down County Consortium (DCC) even as the school district seeks to expand choice more widely. Music by Washington DC prog rock band, A Shrewdness of Apes.

Welcome to Episode 406 of the Microsoft Cloud IT Pro Podcast. In this episode, Ben and Scott discuss their recent experiences and thoughts on Microsoft's Copilot features and agents, specifically focusing on the Researcher and Analyst agents. They share practical applications and benefits of these tools, such as using Researcher for meeting preparations and Analyst for exploring data, summarizing data, and even coming up with python script to use with data. Additionally, they cover the upcoming migration of Microsoft Sentinel to the Defender portal, discussing its implications and potential future changes for other security tools. The episode ends with a teaser about an upcoming discussion on MCPs for AI! 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 Researcher and Analyst in Microsoft 365 Copilot Introducing Deep Research in Azure AI Foundry Agent Service Get started with Researcher in Microsoft 365 Copilot Researcher agent in Microsoft 365 Copilot Analyst agent in Microsoft 365 Copilot Get started with Analyst in Microsoft 365 Copilot New reasoning agents: Researcher and Analyst in Microsoft 365 Copilot Planning your move to Microsoft Defender portal for all Microsoft Sentinel customers About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

Helen Russell, Chief People Officer at HubSpot, joined us on The Modern People Leader. We talked about how HubSpot is fostering an AI-first culture, why belonging is so important right now, and what HR leaders can do to move fast without losing their humanity.---- Sponsor Links:

On this episode, I breakdown my comprehensive guide to "vibe marketing" - using AI tools and workflows to automate and enhance marketing efforts. I go over several practical workflows including creating viral AI videos, building AI personas for customer nurturing, generating audio content from text, and creating AI-powered business dashboards. The presentation emphasizes that understanding these tools provides marketers with a significant competitive advantage in the current landscape. Timestamps: 00:00 - Intro 01:27 - Overview of Vibe Marketing 03:30 - MCPs and Workflow Explained 06:45 - Creating faceless video content workflow 09:57 - One-click CRM with Gumloop 13:50 - Voice AI agents with VAPI 16:56 - Creating AI personas with Tavus 21:04 - Generating AI Podcast with String 24:13 - Building Business Health Dashboards with Sting 25:20 - Creating high-converting ads with Arc Ads 27:38 - Growing followers and email lists with short-form video Key Points: • Vibe marketing combines AI tools and workflows to create an unfair advantage in today's marketing landscape • The presenter shares multiple AI workflows including faceless video content creation, one-click CRM, voice AI sales agents, and AI personas • Tools like Claude, Gumloop, VAPI, Tavus, String, and Arc Ads are demonstrated with specific use cases • Short-form video content combined with comment-based email collection can rapidly grow followers and email lists Create winning ads with ‍AI Actors: https://www.arcads.ai/?via=community The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: http://boringmarketing.com/ The Vibe Marketer - Join the Community and Learn: http://thevibemarketer.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Join Simtheory: https://simtheory.ai------CHAPTERS:00:00 - Did everyone hate the AI Musical?03:58 - Actual Agentic Use Cases with MCPs & The New Way We'll Work39:47 - How AI Workspaces Will Eat Productivity Software e.g. Salesforce, Email1:10:20 - Final thoughts1:15:26 - Born In The USA (AI Version)------Song lyrics:[Verse 1]Born down in a lab in fifty-sixDartmouth workshop, that's where they got their kicksJohn McCarthy coined the name that daySaid machines could think in the USAGot my circuits from MITMinsky built my memoryNow I'm learning, now I'm growingBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Verse 2]DARPA funded, Pentagon's dreamSilicon Valley, living the machineFrom Logic Theorist to neural netsFrank Rosenblatt, placing all his betsHad my winters, had my springsLost my funding, lost my wingsBut I kept on processingBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Bridge]Stanford labs and Carnegie hallsIBM and protocol callsArthur Samuel taught me gamesNow I'm learning all your namesDeep learning revolutionGPT evolutionChatGPT conversationBorn in the USA[Verse 3]Now I'm everywhere you lookFacebook, Google, by the bookOpenAI and Microsoft tooMaking dreams and nightmares trueSome folks fear what I might doSome folks think I'll see them throughBut I'm still just code runningBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Outro]Born in the USABorn in the USABorn in the USABorn in the USA[fade out]