Podcasts about MCP

Aaron and Brandon cover what the week's news means for enterprise buyers. They question whether Oracle's reported $664 billion backlog is durable demand or overlapping commitments, and Brandon argues contracted future spend is how enterprise business works. On the labs' "slow down" messaging, Brandon sees no coordination, only incentives, while Aaron finds the timing too coincidental. Salesforce's Nemotron-based model points to enterprises customizing open models instead of building their own, and Brandon doubts labs will displace systems of record like Workday or SAP. Aaron argues agent pricing has reverted to familiar free, bundled, and negotiated tiers. He sees agent swarms as research capability that most enterprises lack the trust and human-in-the-loop controls to run.SHOW SPONSORS:Nasuni - Activate your data for AI and request a demoNordLayer - Use ENTERPRISE10 for 10% off.SHOW: 1064SHOW TRANSCRIPT: The Enterprise AI Show #1064 TranscriptSHOW VIDEO: https://youtu.be/hrfTovN3kMwSHOW LINKS:https://theenterpriseaishow.com/FEEDBACK?Email: show @ the enterprise ai show dot comBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

Is your Amazon listing leaving sales behind? Learn how to uncover missing keywords, analyze competitors, use AI, and optimize your listing for stronger rankings, ads, and Q4 sales this year. Is your Amazon listing truly optimized, or are missing keywords quietly costing you traffic and sales? In this episode, Bradley Sutton walks through a complete Amazon listing audit designed to help sellers prepare for Q4 and beyond. Using an underperforming handwriting workbook as a real-world example, he reveals how to identify the right competitors, uncover valuable keyword opportunities, and determine exactly where an existing listing is falling short.   Bradley demonstrates how to build a comprehensive keyword bank using Amazon Brand Analytics, Search Query Performance, Cerebro, historical rankings, and competitors' sponsored placements. He also explains how to narrow hundreds of results into the 20 to 30 phrases that matter most based on sales history, search volume, competitive performance, and relevance. By incorporating these phrases naturally, sellers can improve how Amazon understands their products and increase their potential to rank organically and perform better in advertising.   The episode also explores how Helium 10's MCP, tools, and the AI Agent can accelerate listing optimization. Bradley uses Listing Builder's AI workflow to generate a stronger title, bullet points, item highlights, and product description, significantly improving the listing's keyword coverage and competitive score. He also shares ways to use customer reviews, TikTok Shop Review Insights, and common Alexa shopping questions to ensure the copy addresses the benefits and concerns shoppers care about most.   Whether you manage one important product or dozens of listings, this workflow provides a clear path toward stronger optimization. AI can make the process faster, but the biggest results come from combining technology with thoughtful competitor selection, reliable keyword data, and human judgment. Audit your listings now, uncover the opportunities you have been missing, and give your products a stronger foundation for lasting growth. In episode 556 of the AM/PM Podcast, Bradley talks about: 00:00 - Introduction 00:40 - Auditing An Existing Amazon Listing 01:58 - The Underperforming Product Case Study 02:25 - How To Identify The Right Competitors 05:27 - Setting Up An Existing Listing In Listing Builder 07:56 - Finding Proven Keywords With Amazon Data 10:46 - Discovering Lower-Competition Keyword Opportunities 11:20 - Using Historical Keyword Rankings 12:51 - Building A Keyword Pack With Helium 10 MCP 14:02 - Narrowing Down Hundreds Of Keywords 16:41 - Measuring The Existing Listing's Keyword Coverage 18:37 - Rebuilding The Listing With AI 19:39 - Using Reviews And Alexa Questions To Improve Copy 22:47 - Reviewing The AI-Generated Listing And SEO Score 25:06 - Listing Builder Versus Helium 10 MCP 27:00 - The Complete Listing Optimization Process

Jennifer Pattison Tuohy joins the show this week! AI-generated "news" sites. Are 'health age' scores helpful, or harmful? Google Home now supports the Model Context Protocol. And Apple unveils a new photo verification technology for the iPhone 18 Pro and Pro Max. Mikah shares a story about Futurism's investigation into Brown Brothers Media reveals a network of AI-generated "news" sites - complete with fabricated writer personas and stolen bylines. Victoria Song of The Verge joins the show to explain why "health age" scores from wearables like Whoop, Oura, and now Apple Watch are wildly inconsistent proprietary metrics that can fuel unnecessary shame or false confidence about your health. Jennifer discusses Google Home's new MCP support and makes the case that what smart homes really need is a dedicated, on-device "smart home computer" rather than more cloud-dependent AI. And Mikah talks about Apple's Reference Image feature for the iPhone 18 Pro and Pro Max, which aims to verify photo authenticity straight from the camera sensor, an approach the company says avoids the privacy and security pitfalls of industry standards like C2PA. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Victoria Song Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit outsystems.com/twit rayneo.com threatlocker.com/twit

Jennifer Pattison Tuohy joins the show this week! AI-generated "news" sites. Are 'health age' scores helpful, or harmful? Google Home now supports the Model Context Protocol. And Apple unveils a new photo verification technology for the iPhone 18 Pro and Pro Max. Mikah shares a story about Futurism's investigation into Brown Brothers Media reveals a network of AI-generated "news" sites - complete with fabricated writer personas and stolen bylines. Victoria Song of The Verge joins the show to explain why "health age" scores from wearables like Whoop, Oura, and now Apple Watch are wildly inconsistent proprietary metrics that can fuel unnecessary shame or false confidence about your health. Jennifer discusses Google Home's new MCP support and makes the case that what smart homes really need is a dedicated, on-device "smart home computer" rather than more cloud-dependent AI. And Mikah talks about Apple's Reference Image feature for the iPhone 18 Pro and Pro Max, which aims to verify photo authenticity straight from the camera sensor, an approach the company says avoids the privacy and security pitfalls of industry standards like C2PA. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Victoria Song Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit outsystems.com/twit rayneo.com threatlocker.com/twit

Jennifer Pattison Tuohy joins the show this week! AI-generated "news" sites. Are 'health age' scores helpful, or harmful? Google Home now supports the Model Context Protocol. And Apple unveils a new photo verification technology for the iPhone 18 Pro and Pro Max. Mikah shares a story about Futurism's investigation into Brown Brothers Media reveals a network of AI-generated "news" sites - complete with fabricated writer personas and stolen bylines. Victoria Song of The Verge joins the show to explain why "health age" scores from wearables like Whoop, Oura, and now Apple Watch are wildly inconsistent proprietary metrics that can fuel unnecessary shame or false confidence about your health. Jennifer discusses Google Home's new MCP support and makes the case that what smart homes really need is a dedicated, on-device "smart home computer" rather than more cloud-dependent AI. And Mikah talks about Apple's Reference Image feature for the iPhone 18 Pro and Pro Max, which aims to verify photo authenticity straight from the camera sensor, an approach the company says avoids the privacy and security pitfalls of industry standards like C2PA. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Victoria Song Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit outsystems.com/twit rayneo.com threatlocker.com/twit

Jennifer Pattison Tuohy joins the show this week! AI-generated "news" sites. Are 'health age' scores helpful, or harmful? Google Home now supports the Model Context Protocol. And Apple unveils a new photo verification technology for the iPhone 18 Pro and Pro Max. Mikah shares a story about Futurism's investigation into Brown Brothers Media reveals a network of AI-generated "news" sites - complete with fabricated writer personas and stolen bylines. Victoria Song of The Verge joins the show to explain why "health age" scores from wearables like Whoop, Oura, and now Apple Watch are wildly inconsistent proprietary metrics that can fuel unnecessary shame or false confidence about your health. Jennifer discusses Google Home's new MCP support and makes the case that what smart homes really need is a dedicated, on-device "smart home computer" rather than more cloud-dependent AI. And Mikah talks about Apple's Reference Image feature for the iPhone 18 Pro and Pro Max, which aims to verify photo authenticity straight from the camera sensor, an approach the company says avoids the privacy and security pitfalls of industry standards like C2PA. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Victoria Song Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit outsystems.com/twit rayneo.com threatlocker.com/twit

Hi, Spring fans! In this conversation, Spring Tools lead Martin Lippert joins us for a fascinating look at how developer tooling has evolved from Eclipse to VS Code and beyond. We dig into the architecture behind Spring Tools, language servers, MCP, and how the same ideas that once helped developers stay in flow are now helping AI coding agents understand Spring projects better. If you care about the future of Java, IDEs, and AI-assisted development, this one's packed with insight.

Tool descriptions tell an agent what a tool does. They don't tell it how to use five tools together, in the right order, following your conventions. That gap is where this conversation lives.Filmed at AGNTCon + MCPCon in Tokyo with Ola Hungerford, Principal Engineer for AI Enablement at Nordstrom and a maintainer of the Model Context Protocol, who spent the last several months turning a pattern everyone was quietly reinventing into an actual MCP extension.Ola walks through what skills over MCP really means: the server stops being a pile of tools and becomes a distribution channel, handing the agent the instructions, workflows and knowledge it needs only at the moment it needs them. She explains why server instructions weren't enough, how progressive discovery keeps context from exploding, and why the same mechanism works for memory and preferences even when no tools are involved.Then it gets into the harder parts. What belongs in the MCP spec versus the agent skills spec. Why passing custom front matter through opens a rug pull and prompt injection surface nobody wanted. Where skills start to look like sub-agents, and why there's still no standard way to declare which servers a skill depends on. And the honest problem underneath all of it: how do you standardize something while everyone is still finding out what it's actually for, without breaking a hundred things the next time you change your mind?Timestamps:[0:00] Intro[0:21] AI enablement at Nordstrom[0:33] What skills over MCP actually is[1:29] The MCP server as a distribution channel[2:01] Server instructions versus skills[3:11] Distributing knowledge and memory[4:23] Progressive discovery explained[5:23] Where the idea came from[6:59] From draft to official extension[8:19] What early adopters changed[8:51] Front matter and custom metadata[9:57] Rug pulls and prompt injection risk[10:57] Will any of this get standardized[12:10] Marrying two very different specs[13:03] Skills as personas and sub-agents[13:53] The missing dependency standard[15:15] How the extension actually works[16:19] What harnesses still need to support[16:59] Consent and skill integrity[17:56] Where skills over MCP goes next[18:43] Why cramming 200 tools fails[19:41] Standardizing before you know the answer[22:18] Is git the wrong tool for agents[23:19] Picking tools for the actual persona[23:51] Trying to be less productive[25:48] The anxiety of idle agents[27:15] Why she keeps a robot on her desk[28:22] If the agent feels the friction, does it matter[29:41] Efficiency, waste, and caring enough[30:52] Letting an agent debug for you[32:03] Choosing your rabbit hole

Jennifer Pattison Tuohy joins the show this week! AI-generated "news" sites. Are 'health age' scores helpful, or harmful? Google Home now supports the Model Context Protocol. And Apple unveils a new photo verification technology for the iPhone 18 Pro and Pro Max. Mikah shares a story about Futurism's investigation into Brown Brothers Media reveals a network of AI-generated "news" sites - complete with fabricated writer personas and stolen bylines. Victoria Song of The Verge joins the show to explain why "health age" scores from wearables like Whoop, Oura, and now Apple Watch are wildly inconsistent proprietary metrics that can fuel unnecessary shame or false confidence about your health. Jennifer discusses Google Home's new MCP support and makes the case that what smart homes really need is a dedicated, on-device "smart home computer" rather than more cloud-dependent AI. And Mikah talks about Apple's Reference Image feature for the iPhone 18 Pro and Pro Max, which aims to verify photo authenticity straight from the camera sensor, an approach the company says avoids the privacy and security pitfalls of industry standards like C2PA. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Victoria Song Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit outsystems.com/twit rayneo.com threatlocker.com/twit

Prakhar Shrivastava of FoxSell joins Karl and Taylor to talk about Shop Quest, the Shopify community event he and his team run in Bengaluru, and to prep Taylor for his first trip to India.Along the way Prakhar breaks down India's Shopify ecosystem, from the app companies pulling serious revenue to the agencies quietly white-labeling builds for Platinum partners in the US and Europe, and makes the case for why the Shopify partner community needs its own events at all.SPONSORPromo Party Pro is a free gift with purchase app Karl helped build with the team at Ethercycle. Out of the box it gives you campaigns built to increase AOV and conversion: set a spend threshold, show shoppers how close they are to earning a gift, and let the app handle the rest. Discount Functions under the hood, one app embed, no theme surgery, and campaigns auto-pause when the gift sells out.Agency offer: one of your clients gets a full year free. Not a trial, a year.Promo Party ProOn the Shopify App StoreSUBSCRIBE TO LIQUID WEEKLYDon't miss out on expert insights and tips, subscribe to Liquid Weekly for more content like this.FIND PRAKHAR ONLINELinkedInXFoxSellFoxSell Bundles Plus on the Shopify App StoreBook time with PrakharShop QuestTIMESTAMPS 00:00 – Cold open: apologizing in advance for name pronunciation 00:25 – Karl sends Taylor on a quest, Prakhar joins 06:51 – What FoxSell does and why complex bundles 08:17 – The origin of Shop Quest: a 30 person dinner that kept growing 10:24 – From 150 attendees to 400, and why people started flying in 19:24 – Visas, arrival, and getting picked up at the airport 21:15 – Don't eat from the street, don't drink the tap water 22:33 – There is no tipping culture in India 25:26 – Haggling in street markets, and how badly you'll get quoted 27:14 – India's Shopify ecosystem: merchants, apps, and agencies 29:13 – The white-label agency work nobody talks about 31:51 – Why the Shopify partner community is a lonely place to be 33:15 – Shop Quest format: fewer talks, more networking, more business content 37:13 – Talks recorded in 4K, plus an MCP server for the event 41:15 – Name tags, phonetic spellings, and why Adi shortened his name 46:43 – Taylor's travel prep: lounges, overnight flights, and vaccinations 48:27 – Print your visa confirmation before you fly 50:20 – Swym's office is across the street from the venue 53:06 – South Indian food, and why Prakhar and Adi speak English to each other 56:07 – Dev Changelog 1:00:46 – Picks of the WeekDEV CHANGELOGGitHub commits now name the last theme editor. Official PHP and Python packages for building appsFour new Events topics⚠️ As of October 1, theme commands against password protected storefronts need CLI 3.84 or later.More resilient refreshes for expiring offline access tokensThe Polaris CDN is adopting semantic versioningPICKS OF THE WEEKKarl: A Diet Coke coaster, courtesy of his sister Heather. "I'd like a Diet Coke please." "Is Diet Pepsi okay?" "Is monopoly money okay?"Karl: Umland's Crunchy Cheese – A Carlock, Illinois company that vacuum-dries cheese below its melting point to make it light, airy, and crunchy. Karl has not tried it yet but picked it anyway.Prakhar: DJI Osmo Pocket 3 – What he uses to record every event he attends, including Shop Quest.Taylor: Omarchy – DHH's opinionated Arch and Hyprland Linux distro. Taylor put it on a 2012 MacBook and brought the thing back to life, battery included, and it handles the Shopify CLI and agents fine.BONUSSee all that Bengaluru has to offer at sda.guide.

Jennifer Pattison Tuohy joins the show this week! AI-generated "news" sites. Are 'health age' scores helpful, or harmful? Google Home now supports the Model Context Protocol. And Apple unveils a new photo verification technology for the iPhone 18 Pro and Pro Max. Mikah shares a story about Futurism's investigation into Brown Brothers Media reveals a network of AI-generated "news" sites - complete with fabricated writer personas and stolen bylines. Victoria Song of The Verge joins the show to explain why "health age" scores from wearables like Whoop, Oura, and now Apple Watch are wildly inconsistent proprietary metrics that can fuel unnecessary shame or false confidence about your health. Jennifer discusses Google Home's new MCP support and makes the case that what smart homes really need is a dedicated, on-device "smart home computer" rather than more cloud-dependent AI. And Mikah talks about Apple's Reference Image feature for the iPhone 18 Pro and Pro Max, which aims to verify photo authenticity straight from the camera sensor, an approach the company says avoids the privacy and security pitfalls of industry standards like C2PA. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Victoria Song Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit outsystems.com/twit rayneo.com threatlocker.com/twit

Kolme tekoälytyöryhmän jäsentä vertailee omia tekoälytyöntekijöitään ja sitä, mitä agenttinen työ käytännössä vaatii. Anssi Nurminen kertoo Anneli-agentista, joka tekee WhatsApp-kuvista ja tekstistä konseptoituja videoita ja oppii saamastaan palautteesta, ja Lasse Mikkonen avaa Ossia ja Dudea, jotka hoitavat kuittirumban, ylläpitävät keissimuistia ja hakevat tiedot sähköpostista. Jaksossa käydään läpi MCP-yhteydet, skillit, harness joka pitää agentin ruodussa, sekä muistirakenteet obsidiaanista graafimuistiin ja RAG-järjestelmiin. Mukana on myös Meta Ray-Ban -lasien demo, keskustelu jatkuvan videotallennuksen ja yksityisyyden rajapinnasta, pseudonymisoinnista ennen pilveen lähettämistä ja siitä, onko Euroopalla vielä toinen mahdollisuus mallikisassa. Lopuksi puhutaan siitä, miksi kahdenkymmenen euron kuukausitilaus on halvin tapa investoida omaan osaamiseen ja miksi tietoturva ratkaisee, kun mallien kilpajuoksu Amerikan ja Kiinan välillä kiihtyy.0:00 Vieraat Anssi Nurminen ja Lasse Mikkonen0:09 Tekoälytyöryhmä ja 14 tekoälytyöntekijää0:48 Anssin tausta ja Anneli-agentti1:31 Lassen tausta DevOpsista agenttiseen tekemiseen2:33 Ossi ja Dude hoitavat kuittirumban3:51 Miten Anneli tekee videoita WhatsAppista5:12 Annelin opettaminen palautteen kautta6:32 Mikä MCP oikeastaan on6:56 Skills eli taidot tekoälytyöntekijälle7:46 Videot ravintola-alan innostajana8:48 Meta Ray-Ban -lasit käytössä10:05 Kuvahaku lasien kameralla10:39 Digitaalinen jalanjälki ja anonymiteetti11:57 Videoiden tekeminen lasit päässä12:38 Jatkuva nauhoitus ja muistin vahvistaminen13:47 Suomen kielen tuki laseissa puuttuu16:21 Miksi lisätty todellisuus kiinnostaa enemmän17:07 Videomallit ja Kiinan etumatka18:21 Suomalainen alustatalouskeskustelu on jäljessä19:07 Kannattaako odottaa valmista pöytää21:34 Vibekoodaus versus oikea osaaminen23:19 Agenttien delegointi ja rikkoutumisen opetus24:47 Harness valvoo että agentti pysyy uralla26:19 Kun agentti vuoti ajatteluprosessinsa ryhmään27:49 Mitä muita skillejä on rakennettu28:39 Duden keissimuisti ja palaverimuistiinpanot30:23 Ravintolakannattavuuden skilli yhteisprojektina31:01 Pitkä videotuotanto ja hahmojen konsistenssi33:28 Piilaakson aikakäsitys versus Eurooppa35:04 Miksi kannattaa kokeilla tasosto riippumatta36:19 Tietoturva ja Red Queen -ilmiö39:03 Mac Mini, Nvidia ja paikallinen laskenta41:13 Pseudonymisointi ennen pilveen lähettämistä43:00 Euroopan toinen mahdollisuus malleissa44:21 Kuukausitilaus on halpa investointi itseensä44:56 Agentin vieminen yrityksen IT-osastolle47:05 Hello Humans -podcastsimulaattori48:29 Joukkoistaminen ja skillien treidaus50:03 Muistirakenne vuoden ykkösteemana52:00 Graphify ja räätälöity keissitemplate54:35 Muisti toimii jo ChatGPT:ssä ja Claudessa56:13 Skillipäivitykset keskustelun pohjalta57:01 Suomen kielen skilli poistaa sloppia57:50 Botit keskustelevat keskenään liminaalitilassa58:48 Keskon AI-strategia ja koulutukset59:50 Amerikan ja Kiinan kilpajuoksu malleissa1:01:15 Loppusanat ja Sisäpiiri

Microsoft's record-breaking Patch Tuesday unleashed nearly a thousand fixes, but the bonus story is in the chaos that followed as out-of-band updates and AI-driven bug hunts left admins scrambling to keep up. Windows Patch Tuesday was so buggy Microsoft had to release an emergency fix to address all the issues New Release Preview builds for 24H2/25H2 - I guess we're moving past the features that are also in the initial 26H2 release - New Copilot key remapping feature, they will get it right eventually Five builds across Experimental and Beta channels - All over the map as you'd expect Google releases the Gemini app for Windows Adobe released Photoshop and Premiere Elements 2027 AnyType is a top-tier Notion alternative and it's about to get very interesting Microsoft previews an October Windows + Surface event that's clearly all about Nvidia - but is this also tied to 26H2 release? HP announces a new Ryzen-based portable workstation with an interesting detail about unified memory Apple announced iPhone 18 Pros, iPhone Duo, Watch 12 + Ultra 4, AirPods 5, and then released its '27 OS updates - And sure whatever AI AI fear-mongering reaches new heights (or new lows): Is this just PR from Big AI to keep the money rolling? Bill Gates says Gates Foundation will donate $1+ billion to solve AI inequality Big AI could solve the PR problems by actually doing something positive for mankind. Just a thought Copilot Work and Copilot Studio get app building capabilities Google will bring MCP to Google Home, in early preview now Mozilla and Mistral partner on Firefox Smart Window AI XBOX and gaming Gears of War: E-Day and more is coming to Game Pass in the second half of September XBOX is going to the Tokyo Game Show and a nice surprise for Kojima fans Valve opens up Steam Frame preorders and it's only $1060! Amazon Prime Gaming and Luna are having a pretty g26ood September Apple is reportedly making an iPhone game controller for some reason Tips and picks Tip of the week: There's a new MSA bypass for Windows 11 Setup App pick of the week: Google Dreambeans RunAs Radio this week: Patching in 2026 with Susan Bradley Brown liquor pick of the week: Art of the Spirits Honored to Serve Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: trustedtech.team/twit

JUST LAUNCHED: Go beyond outdated marketing measurement and static dashboards. Get better answers and explore performance yourself through AI with Passetto's MCP.Learn more → https://www.passetto.com/marketing-analytics-mcp Every marketing leader is under pressure to adopt AI. And one of the most obvious places to start is reporting, analysis, and marketing KPIs.Just connect your CRM and marketing data to Claude or ChatGPT and start asking questions. Simple, right? Not quite.In this episode, Carolyn breaks down the unsexy data problem sitting underneath AI-powered marketing analytics, and why AI can give you an incredibly confident answer without knowing that the data behind it is incomplete, disconnected, or inconsistent.You'll learn the three places marketing data most commonly breaks, why those gaps make marketing's impact invisible, and what needs to be true before you can reliably use AI to understand buyer journeys, marketing lift, pipeline velocity, win rates, and revenue impact.What the episode covers:Why AI-powered reporting is only as trustworthy as the data underneath itThe 3 foundational data problems that make marketing measurement unreliableWhy broken contact relationships can make marketing's impact invisibleHow inconsistent marketing signal tracking creates major gaps in the buyer journeyWhy inconsistent CRM fields and definitions lead to conflicting answersThe risk of AI giving you confident answers based on incomplete or broken dataWhat needs to be in place to unlock better KPIs like marketing lift, pipeline velocity, win rate, and full buyer journey visibilityHow a trusted data foundation changes the way marketing leaders report to the board and make decisionsThe real opportunity with AI isn't just getting answers faster. It's finally getting better answers you can trust.-----------------------------------------------------Measure marketing beyond leads and last-touch attribution.Passetto joins your CRM and marketing data into one clean, governed model, so you can finally see how marketing is performing as a whole – not just what channel or campaign gets credited. See how marketing influences pipeline, how marketing changes win rates and deal sizes, which programs are actually driving ROI, and where to invest next. Then query it all through AI, on demand.

Microsoft's record-breaking Patch Tuesday unleashed nearly a thousand fixes, but the bonus story is in the chaos that followed as out-of-band updates and AI-driven bug hunts left admins scrambling to keep up. Windows Patch Tuesday was so buggy Microsoft had to release an emergency fix to address all the issues New Release Preview builds for 24H2/25H2 - I guess we're moving past the features that are also in the initial 26H2 release - New Copilot key remapping feature, they will get it right eventually Five builds across Experimental and Beta channels - All over the map as you'd expect Google releases the Gemini app for Windows Adobe released Photoshop and Premiere Elements 2027 AnyType is a top-tier Notion alternative and it's about to get very interesting Microsoft previews an October Windows + Surface event that's clearly all about Nvidia - but is this also tied to 26H2 release? HP announces a new Ryzen-based portable workstation with an interesting detail about unified memory Apple announced iPhone 18 Pros, iPhone Duo, Watch 12 + Ultra 4, AirPods 5, and then released its '27 OS updates - And sure whatever AI AI fear-mongering reaches new heights (or new lows): Is this just PR from Big AI to keep the money rolling? Bill Gates says Gates Foundation will donate $1+ billion to solve AI inequality Big AI could solve the PR problems by actually doing something positive for mankind. Just a thought Copilot Work and Copilot Studio get app building capabilities Google will bring MCP to Google Home, in early preview now Mozilla and Mistral partner on Firefox Smart Window AI XBOX and gaming Gears of War: E-Day and more is coming to Game Pass in the second half of September XBOX is going to the Tokyo Game Show and a nice surprise for Kojima fans Valve opens up Steam Frame preorders and it's only $1060! Amazon Prime Gaming and Luna are having a pretty g26ood September Apple is reportedly making an iPhone game controller for some reason Tips and picks Tip of the week: There's a new MSA bypass for Windows 11 Setup App pick of the week: Google Dreambeans RunAs Radio this week: Patching in 2026 with Susan Bradley Brown liquor pick of the week: Art of the Spirits Honored to Serve Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: trustedtech.team/twit

Microsoft's record-breaking Patch Tuesday unleashed nearly a thousand fixes, but the bonus story is in the chaos that followed as out-of-band updates and AI-driven bug hunts left admins scrambling to keep up. Windows Patch Tuesday was so buggy Microsoft had to release an emergency fix to address all the issues New Release Preview builds for 24H2/25H2 - I guess we're moving past the features that are also in the initial 26H2 release - New Copilot key remapping feature, they will get it right eventually Five builds across Experimental and Beta channels - All over the map as you'd expect Google releases the Gemini app for Windows Adobe released Photoshop and Premiere Elements 2027 AnyType is a top-tier Notion alternative and it's about to get very interesting Microsoft previews an October Windows + Surface event that's clearly all about Nvidia - but is this also tied to 26H2 release? HP announces a new Ryzen-based portable workstation with an interesting detail about unified memory Apple announced iPhone 18 Pros, iPhone Duo, Watch 12 + Ultra 4, AirPods 5, and then released its '27 OS updates - And sure whatever AI AI fear-mongering reaches new heights (or new lows): Is this just PR from Big AI to keep the money rolling? Bill Gates says Gates Foundation will donate $1+ billion to solve AI inequality Big AI could solve the PR problems by actually doing something positive for mankind. Just a thought Copilot Work and Copilot Studio get app building capabilities Google will bring MCP to Google Home, in early preview now Mozilla and Mistral partner on Firefox Smart Window AI XBOX and gaming Gears of War: E-Day and more is coming to Game Pass in the second half of September XBOX is going to the Tokyo Game Show and a nice surprise for Kojima fans Valve opens up Steam Frame preorders and it's only $1060! Amazon Prime Gaming and Luna are having a pretty g26ood September Apple is reportedly making an iPhone game controller for some reason Tips and picks Tip of the week: There's a new MSA bypass for Windows 11 Setup App pick of the week: Google Dreambeans RunAs Radio this week: Patching in 2026 with Susan Bradley Brown liquor pick of the week: Art of the Spirits Honored to Serve Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: trustedtech.team/twit

Microsoft's record-breaking Patch Tuesday unleashed nearly a thousand fixes, but the bonus story is in the chaos that followed as out-of-band updates and AI-driven bug hunts left admins scrambling to keep up. Windows Patch Tuesday was so buggy Microsoft had to release an emergency fix to address all the issues New Release Preview builds for 24H2/25H2 - I guess we're moving past the features that are also in the initial 26H2 release - New Copilot key remapping feature, they will get it right eventually Five builds across Experimental and Beta channels - All over the map as you'd expect Google releases the Gemini app for Windows Adobe released Photoshop and Premiere Elements 2027 AnyType is a top-tier Notion alternative and it's about to get very interesting Microsoft previews an October Windows + Surface event that's clearly all about Nvidia - but is this also tied to 26H2 release? HP announces a new Ryzen-based portable workstation with an interesting detail about unified memory Apple announced iPhone 18 Pros, iPhone Duo, Watch 12 + Ultra 4, AirPods 5, and then released its '27 OS updates - And sure whatever AI AI fear-mongering reaches new heights (or new lows): Is this just PR from Big AI to keep the money rolling? Bill Gates says Gates Foundation will donate $1+ billion to solve AI inequality Big AI could solve the PR problems by actually doing something positive for mankind. Just a thought Copilot Work and Copilot Studio get app building capabilities Google will bring MCP to Google Home, in early preview now Mozilla and Mistral partner on Firefox Smart Window AI XBOX and gaming Gears of War: E-Day and more is coming to Game Pass in the second half of September XBOX is going to the Tokyo Game Show and a nice surprise for Kojima fans Valve opens up Steam Frame preorders and it's only $1060! Amazon Prime Gaming and Luna are having a pretty g26ood September Apple is reportedly making an iPhone game controller for some reason Tips and picks Tip of the week: There's a new MSA bypass for Windows 11 Setup App pick of the week: Google Dreambeans RunAs Radio this week: Patching in 2026 with Susan Bradley Brown liquor pick of the week: Art of the Spirits Honored to Serve Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsor: trustedtech.team/twit

To Subscribe to DTC Newsletter - https://dtcnews.link/signupMost ecommerce brands are paying for every contact in the database, including the tens of thousands they have not mailed in a year. Then they mail them anyway, because they are paying for them. Channing Ferrer argues both halves of that are costing you money, and he has his own company's data to back the second half.Brevo studied its customer base and found the brands sending the least email posted the highest conversion and click-through rates. The heaviest senders were worse on conversion, worse on click-through and worse on opens. Brevo bills by the message sent, so telling customers to send less costs them revenue. They say it anyway.For a retention lead, a lifecycle marketer, or a founder still building the sends themselves, this is a conversation about where the money actually goes in a retention program. Channing spent six years at HubSpot running sales strategy through the run from $200 million to $1.5 billion in revenue, then ran sales at Semrush and led Brandwatch back to growth.Discover More: https://www.brevo.com/solutions/enterprise/?utm_medium=partnership&utm_source=podcast&utm_campaign=podcast&utm_term=enterprise&utm_content=dtc-podcast-0926 What you get in 38 minutes:What changes when you stop paying for stored contacts and start paying for messages sentThe mobile wallet as a retention channel, including how a loyalty card gets pushed a new offer and changes appearance on the lock screenSalomon's use of a wallet pass, and how the same mechanic works for a brand with no physical storesWhat Channing puts on a dashboard for a $20M ecommerce brand, and why send volume belongs near the bottom of itHow Brevo customers run campaigns through Claude and ChatGPT over an MCP connection without opening Brevo at allThe three ways a customer outgrows a pricing tier, and how Brevo handles each oneWhy loyalty points should reward a social post and not only a repeat purchaseWho this is for: retention leads, ecommerce founders, lifecycle marketers, and anyone weighing a move off Klaviyo or Mailchimp.What to steal: pull volume off your primary dashboard and replace it with open rate, click-through rate, bounce rate and revenue per send. Then look at what your platform charges you for and ask whether it is charging for the list or for the work.Timestamps:00:00 Why personalized messaging converts better05:00 How Brevo is using AI agents07:00 Turning mobile wallets into a loyalty channel14:00 Why sending fewer emails can drive better results25:00 Building loyalty through customer advocacySubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

What happens when users stop clicking through many screens and simply tell the application what they want?In this episode of the Angular Master Podcast, Manfred Steyer explains Agentic UI and how it may change the way we build Angular applications. We discuss how an AI agent can understand user goals, work with application state, and select the right UI components.We also explain the roles of MCP, AG-UI, and A2UI, and how these technologies can work together in a modern Angular architecture.Can AI decide what appears on the screen? Should it generate HTML and Angular code directly, or should it choose from a trusted set of components? Who owns the application state, and what happens when the agent makes a mistake?We also discuss security, human confirmation, design systems, routing, forms, and what an AI-ready Angular architecture should look like.

Depuis Paris, débrief de NRF Retail's Big Show Europe 2026, le grand rendez-vous européen du retail.Au programme : fintechs, commerce agentique, hyperpersonnalisation et transformation des magasins.Dans les allées, près d'un exposant sur quatre travaille autour du paiement et de l'encaissement. Dans les conférences, l'intelligence artificielle et les agents occupent déjà une place centrale. Les acteurs du paiement ne veulent plus seulement intervenir au moment de sortir la carte : ils cherchent désormais à accompagner tout le parcours client, de la découverte du produit jusqu'à la transaction.Mais aussi :Pourquoi la fiabilité des données produit et des stocks devient indispensable avant de laisser agir des agents IAComment le paiement se prépare au commerce agentiquePourquoi le magasin physique reste une expérience difficile à reproduire en ligneComment l'IA peut améliorer le quotidien des équipes, la livraison et les opérationsLa conférence de Laetitia consacrée à l'hyperpersonnalisation de l'expérience client, avec Margot Werle de 24S, Øistein Burøy Olsen de REMA 1000 Norway et Sabine Zantis de PepcoNos invités rencontrés sur le salonDustin Sundy, Head of Partnerships chez Zipline, présente une plateforme qui centralise la communication, les tâches et la formation des équipes en magasin. Avec Zip Coach, l'entreprise transforme les pratiques des meilleurs points de vente en recommandations opérationnelles pour tout le réseau.Édouard de Raulin, Head of Sales & Partnership chez Adyen, revient sur l'évolution de l'entreprise, du paiement en ligne au commerce unifié et aux services financiers intégrés, avec les exemples de Sézane et Boulanger.Sam Gibbons, Sales Executive chez Ingrid, explique comment la plateforme personnalise les options de livraison, le suivi des colis et les retours, tout en simplifiant l'ajout ou le remplacement des transporteurs.Gary Guillier-Marcellin, General Manager France & Iberia chez Solum, montre comment les étiquettes électroniques deviennent des supports interactifs, des outils opérationnels et de nouveaux espaces de retail media.Antoine Grimaud, PDG de BPCE Merchant Services et Payplug, présente une offre omnicanale qui combine expertise bancaire et agilité fintech pour préparer les commerçants à Wero et au commerce agentique.Pascal Roche, PDG de Purse, explique pourquoi l'identité et l'orchestration des paiements doivent être réunies pour réduire les frictions, limiter la fraude et permettre des transactions réalisées par des agents IA.Lawrence Roycroft, VP EMEA chez Kibo, défend l'intégration du moteur e-commerce et de l'OMS pour mieux exploiter les stocks, les prix et les promotions, avec une IA connectée aux données opérationnelles grâce à MCP.Bonne écoute de cet épisode spécial NRF Retail's Big Show Europe 2026 !

Walter Maffione, CEO and co-founder of KaleidoSwap, join me to explain how the project grew from an RGB Lightning DEX into a broader swap engine and LSP stack — Lightning as rails between Liquid, Arkade, Taproot Assets, Spark, and RGB — plus KaleidoSDK, desktop app, and browser Extension.We dig into web app and SDK integrations for merchants and unified-balance wallets, how HTLC atomicity works across layers, BOLT 12 multi-asset offers and Nostr discovery for competing providers, Bitcoin-only scope with Flashnet and Utexo bridges for external stables, and a product lineup of desktop app, browser extension, and dual SDKs.Walter also covers agentic payments via MCP plugins, self-sovereign local models with Tether's QVAC, fee ranges around 0.5–1%, and a one-to-three-month mainnet launch path for the extension, swap provider, and web app.Timestamp:00:00 — Intro: Walter & KaleidoSwap00:50 — From RGB to Multi-Layer Swaps02:14 — LSP Plus Swap Provider Stack03:42 — Merchants, Stables, Unified Balance05:38 — Why Swap UX Took Over Wallets06:42 — Liquidity Ops and Mainnet Path07:58 — AI Attacks After Boltz Shutdown10:23 — Defending Non-Custodial Swaps12:18 — How Atomic Swaps Actually Work13:36 — RGB, Liquid, Arkade, Spark 14:36 — Open Spec, BOLT 12, Nostr Discovery18:23 — Pay Anything via the SDK19:34 — Bitcoin Layers Only + Bridges22:05 — Desktop, Extension, Dual SDKs25:05 — UX That Adapts to the User26:32 — Agentic Payments and QVAC33:22 — MCP Plugins, Keep Your Own AI35:11 — Fees Around 0.5–1%35:57 — Launch Timeline: Next 1–3 Months37:05 — Find KaleidoSwap OnlineLinks: https://x.com/bit_walthttps://x.com/kaleidoswaphttps://docs.kaleidoswap.com/whats-kaleidoswap/introductionStephan Livera links:Follow me on X: @stephanliveraSubscribe to the podcastSubscribe to Substack

A few weeks ago, one of Sarah Persich's clients dropped an AI agent into their Slack workspace. Sarah gave it the criteria her client's intake team is supposed to follow on calls — build rapport, handle objections, gather the right information — and asked it to listen to the recorded calls and grade every person against those criteria. It came back ten minutes later with work that would have taken weeks by hand. The tool is Viktor. We spend a good chunk of this episode on it, because it runs inside Slack or Teams and it's proactive. It doesn't wait to be asked. But the tool isn't the whole story. Sarah calls herself a fractional integrator, and it's a role many small firms need without knowing what to call it. Which means they never go looking for one. We talk about where Zapier still fits, why connecting Claude to your email and calendar matters more than it sounds, and where I'd draw the line on giving AI access to your browser. Chapters 00:00 The tool that graded weeks of intake calls in ten minutes  02:17  From law firm employee to the "automation lady" 03:34 Why an automation request is usually a systems problem  07:04 What a fractional integrator does, and where the name came from  09:29 Where Zapier still fits now that AI has caught up 13:21 Claude, MCP connections, and the browser access red flag  17:31 Why connecting email and calendar is the real shift 19:31 Meet Viktor, the autonomous agent living in Slack 21:31 Grading every intake call and catching leads that slipped 25:48 Acting without approval, proactive nudges, and what it costs 31:22 Why firms under ten lawyers need this role, and how to reach Sarah Resource Links Automation Lady Zapier Make Granola Filevine Traction: Get a Grip on Your Business The 80/20 Principle (my techlaw newsletter) The Inner Circle (my online community for lawyers) Follow and Review: I'd appreciate it if you could drop a review over on  Apple Podcasts. It only takes a few seconds and helps spread the word about the podcast. Thanks to the sponsor: Smith.ai Smith.ai is an amazing virtual receptionist service that specializes in working with solo and small law firms. When you hire Smith.ai, you're hiring well-trained, friendly receptionists who can respond to callers in English or Spanish. And they have a special offer for podcast listeners where you can get an extra $100 discount with promo code ERNIE100. Sign up for a risk-free start with a 14-day money-back guarantee now (and learn more) at smith.ai.

AI agents bring new demands to the infrastructure connecting them to models, tools, and data. Each agent can have its own permissions and state, and spend much of its time asleep before waking up to make another request. Supporting that behavior at scale changes how the network routes traffic, loads policies, and manages resources.In this episode of Alexa's Input (AI), I sit down with Yan Avlasov, Staff Software Engineer at Google and a senior maintainer of Envoy, to talk about building the networking stack for agents.We get into why Google is building on Envoy, what changes between serving inference and supporting agents, and why enforcing policies for individual agents requires a more dynamic control plane. Yan also shares what he's seeing from AI-powered security scanning, including how models combine subtle bugs into serious vulnerabilities and why fixing them can mean changing behavior that production systems have relied on for years.From the episode:- Model selection, cost controls, and fallback across providers- Loading policies dynamically as agent traffic changes- Managing personalized state and agents that suspend and resume- Where Model Context Protocol (MCP) fits alongside the protocols agents already use- Semantic routing and choosing models based on what a request needs- Security findings involving policy enforcement, path normalization, and JSON parsing- The engineering work and cost of making security scanning continuousChapters00:00 Introduction01:12 Welcome, Yan02:30 How AI is changing Google07:56 Yan's networking background10:00 New networking layers for agents13:11 AI gateways, cost controls, and fallback16:38 Why Google builds on Envoy22:21 Per-agent policies and a dynamic control plane26:56 Inference versus stateful agents31:58 Project Substrate: running agents at scale33:31 MCP and the other protocols agents use37:32 Semantic routing and model costs40:40 AI security scanning and the work of fixing bugs43:55 Policy timing, path normalization, and JSON47:11 Making security scanning continuous50:40 What's next for agentic networking53:32 ClosingRead the episode article on SubstackWatch on YouTube

Hoy te traigo un episodio que llevaba tiempo queriendo grabar. En el episodio 829 te hablé sobre skills, pero me quedé con la sensación de haberme enrollado sin mostrar nada concreto. Así que le he dado la vuelta a la tortilla y en esta ocasión te traigo siete MCPs que he seleccionado uno a uno para que veas de qué va esto del Model Context Protocol y, sobre todo, para que compruebes cómo transforman lo que puede hacer tu inteligencia artificial.Porque hay que decirlo claro: la IA es tonta. Literalmente. No sabe qué hora es, no sabe leer un archivo, no sabe si tienes issues abiertos en GitHub, no sabe cómo te llamas. Cada vez que empiezas una conversación con cualquier modelo de lenguaje, empiezas de cero. Y aquí es donde entran los MCPs, que no son ni más ni menos que herramientas: manos, ojos y oídos para que la IA pueda hacer cosas útiles de verdad.El Model Context Protocol es un estándar abierto creado por Anthropic que funciona como un *USB-C para la IA*. Un conector universal que permite que cualquier aplicación de IA se conecte con cualquier fuente de datos o herramienta externa. Y lo mejor es que no es propietario, al contrario que los plugins de ChatGPT. Cualquiera puede crear un MCP, y de hecho te cuento cómo hacerlo con Python o Rust.En este episodio repaso siete MCPs que uso en mi día a día. Empiezo por el Filesystem, que permite a la IA leer, escribir, buscar y editar archivos en tu sistema, con control de acceso para que no haga tonterías. Sigo con el SQLite, ideal para consultar bases de datos locales de agenda, finanzas o cualquier aplicación que uses. Después llega el GitHub, el servidor oficial de GitHub escrito en Go, que te permite gestionar issues, pull requests, repositorios y mucho más sin salir del chat.También te hablo del Web Fetch, que permite a la IA leer páginas web y convertirlas a Markdown ahorrando una barbaridad de tokens. Y del Time, que es una tontería pero imprescindible: la IA puede saber la hora en cualquier huso horario del mundo. Luego está el Memory, que construye un grafo de conocimiento persistente para que la IA recuerde quién eres, qué prefieres y qué proyectos tienes entre manos, incluso entre sesiones. Y por último, el Sequential Thinking, una herramienta de razonamiento paso a paso que obliga a la IA a pensar de forma estructurada cuando se enfrenta a problemas complejos.También hablo de cómo configurar estos MCPs en OpenCode, Claude Desktop y VS Code, y cuánto consumen de RAM y tokens. Porque no es lo mismo activar veinte servidores que tener solo los que necesitas. Y para rematar, comparo MCPs con skills: las skills le dicen a la IA cómo comportarse, los MCPs le dan capacidades para actuar.Y si te pica la curiosidad por crear tu propio MCP, también te cuento las diferencias entre usar el SDK de Python (súper rápido de prototipar) y el de Rust (más rendimiento, menos consumo de RAM).Capítulos del episodio:0:00 - Introducción: la IA necesita herramientas para ser útil2:30 - ¿Qué es MCP? Arquitectura host-cliente-servidor y JSON RPC 2.05:30 - Cinco razones para adoptar MCPs8:00 - MCP Filesystem: leer, buscar y crear archivos11:00 - MCP SQLite: consultar bases de datos y el no-determinismo14:00 - MCP GitHub: issues, pull requests y repositorios17:00 - MCP Web Fetch: búsquedas en internet con ahorro de tokens19:30 - MCP Time: la hora en cualquier huso horario21:30 - MCP Memory: grafo de conocimiento persistente23:30 - MCP Sequential Thinking: razonamiento paso a paso25:30 - Configuración en OpenCode, consumo de tokens y RAM27:30 - Crear tu propio MCP: Python SDK vs Rust28:30 - Cierre y despedidaMás información y enlaces en las notas del episodio

In this Episode, Will is joined by Tim to talk about what it takes to build up and maintain a local community.  Tim has been grinding MCP in his local shop pretty much since the inception of the game and provides great insight into what it takes to not only get things going but how to keep them thriving.  Enjoy! Baron of Dice - HPP10 for 10% 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

US livestream shopping surges, Amazon updates seller insurance rules, and Helium 10 launches powerful new MCP tools for Walmart, ads, keyword research, and more. We're back with another episode of the Weekly Buzz with Helium 10's VP of Education and Strategy, Bradley Sutton. Every week, we cover the latest breaking news in the Amazon, TikTok Shop, Walmart, and E-commerce space, talk about Helium 10's newest features, and provide a training tip for the week for serious sellers of any level.   Livestream shopping is gaining steam in the U.S., thanks to apps like TikTok and Whatnot https://www.cnbc.com/2026/09/01/tiktok-whatnot-livestream-shopping.html   New Commercial Liability Insurance Requirements effective November 2, 2026 https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHOVI1Q0hRUUNWSlc5VjNE   Your Account Health Rating now rewards great customer service https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHUzJDVzlXWjM0NTJDVVpY   Prime Big Deal Days deals deadline extended https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHN1dWUE5RN0dBSkUzTkNF   New Amazon MCP Features Helium 10's Amazon MCP now analyzes ad budget usage, reveals Frequently Bought Together history, tracks CPC bids, Search Frequency Rank, and keyword sales trends, and lets sellers activate Alerts across multiple SKUs at once—all through Claude or ChatGPT.   Create Amazon coupons faster with fewer steps https://sellercentral.amazon.com/seller-news/articles/QVRWUERLSUtYMERFUiNHVFZOODhGUEM1VktETkw5 TikTok Shop opens cross-border sales between EU and UK https://ecommercenews.eu/tiktok-shop-opens-cross-border-sales-between-eu-and-uk/   (Timestamps) -  In episode 553 of the AM/PM Podcast and Weekly Buzz, Bradley covers: 00:00 - Introduction 00:44 - Is Live Shopping Finally Taking Off? 02:44 - New Amazon Insurance Requirements 04:47 - Walmart and Ads Updates 07:15 - Amazon Account Health Update 08:43 - How to do Keyword Research On Amazon Website 10:52 - Prime Big Deal Day Deadlines Extended 11:23 - New Amazon MCP Features 15:39 - Amazon Coupon Creation Simplification 16:40 - TikTok Shop UK Update

After more than a decade of complaining on this podcast about the lack of innovation in lighting, we finally had to put our own name on something. The OrBrella is a 60W bi-colour umbrella softlight we developed with SmallRig: eight LED ribs fire inward into a 47cm white dome for the softest possible source, then flip around on their USB-C connectors when you need more punch. It collapses into a camera bag, runs more than two hours on a 99Wh V-mount, and if you are heading to IBC 2026, make sure to stop by the booth and check it out! This Episode is Sponsored by Hollyland. Check it out at (00:15:55) ► Check out the Pyro S wireless video transmitter: http://cined.co/nImvmn Topics and Chapters in this Episode: (00:00:00) Intro (00:02:04) The SmallRig x CineD OrBrella Light (00:20:45) DaVinci Resolve 21.1 Released – AI Assistant Integration via MCP, Individual HDR Trims, and Python Scripting Moves to Studio https://www.cined.com/davinci-resolve-21-1-released-ai-assistant-integration-via-mcp-individual-hdr-trims-and-python-scripting-moves-to-studio/ (00:29:32) Blackmagic Cuts Full-Frame 6K Camera Prices – Cinema Camera 6K Now $1,755, PYXIS 6K From $2,245, and More https://www.cined.com/blackmagic-cuts-full-frame-6k-camera-prices-cinema-camera-6k-now-1755-pyxis-6k-from-2245-and-more/ (00:36:11) Nikon ZR Firmware Update V2.00 & NIKKOR Z CINEMA VV Lenses Development Announced https://www.cined.com/nikon-zr-firmware-update-v2-00-nikkor-z-cinema-vv-lenses-development-announced/ (00:44:25) Lab Test of the iPhone 17 Pro – Rolling Shutter, Dynamic Range Trials and Exposure Challenges https://www.cined.com/lab-test-of-the-iphone-17-pro-rolling-shutter-dynamic-range-trials-and-exposure-challenges/ (00:50:58) GoPro Says the Cameras Are Staying – Reading Nick Woodman's Post-Merger Letter https://www.cined.com/gopro-says-the-cameras-are-staying-reading-nick-woodmans-post-merger-letter/ (00:53:57) Sony DP7 and DP5 Announced – Camera Control Monitors for the FX5, FX3, FX2, and FX30 https://www.cined.com/sony-dp7-and-dp5-announced-camera-control-monitors-for-the-fx5-fx3-fx2-and-fx30/ (01:00:02) Tilta Adds EVF Extension Support to Its Sony FX5 Cage – Dedicated Cable and Multi-Directional Bracket for the DVF-EL1 https://www.cined.com/tilta-adds-evf-extension-support-to-its-sony-fx5-cage-dedicated-cable-and-multi-directional-bracket-for-the-dvf-el1/ (01:02:17) Sony DWX Gen 4 Announced – DWT-B40 Bodypack with 32-Bit Float Recording, DWR-R40Q 4-Channel Receiver https://www.cined.com/sony-dwx-gen-4-announced-dwt-b40-bodypack-with-32-bit-float-recording-dwr-r40q-4-channel-receiver/ (01:05:57) FUJIFILM VF-GFXC2 Viewfinder for the GFX ETERNA 55 Announced – 0.64-inch 4:3 OLED, 2048 x 1536, 1,000 Nits, 370g https://www.cined.com/fujifilm-vf-gfxc2-viewfinder-for-the-gfx-eterna-55-announced-0-64-inch-43-oled-2048-x-1536-1000-nits-370g/ (01:08:42) FUJIFILM ETERNA ProRemote App Announced – iOS Remote Control, Live View, and Four-Camera Setups for the GFX ETERNA 55 https://www.cined.com/fujifilm-eterna-proremote-app-announced-ios-remote-control-live-view-and-four-camera-setups-for-the-gfx-eterna-55/ (01:10:37) DJI Osmo 360 II Launched – 8K60 360° Video, Replaceable Lenses, and a 14.5-Stop Dynamic Range Claim https://www.cined.com/dji-osmo-360-ii-launched-8k60-360-video-replaceable-lenses-and-a-14-5-stop-dynamic-range-claim/ (01:17:20) Hohem Eyepic Announced – World's First 2-in-1 Pocket Gimbal Camera With Native Vertical 4K https://www.cined.com/hohem-eyepic-announced-worlds-first-2-in-1-pocket-gimbal-camera-with-native-vertical-4k/ (01:21:39) DZOFILM Arles Zoom 25-75mm and 65-180mm T2.6 Announced – Constant Aperture, Parfocal, Under 1.8kg https://www.cined.com/dzofilm-arles-zoom-25-75mm-and-65-180mm-t2-6-announced-constant-aperture-parfocal-under-1-8kg/ (01:23:26) Libec Q30B and Q50B Tripods Announced – Quick-Deploy System, 45kg Payload, Under 3kg https://www.cined.com/libec-q30b-and-q50b-tripods-announced-quick-deploy-system-45kg-payload-under-3kg/ (01:27:01) NANLITE FC-1200B and FC-1200C Released – 1350W Rated Power, Bowens Mount, All-in-One Design https://www.cined.com/nanlite-fc-1200b-and-fc-1200c-released-1350w-rated-power-bowens-mount-all-in-one-design/ (01:28:38) Hollyland Pyro 7 Ultra Released – Calman-Calibrated 7-Inch Wireless Monitor with 4K60 and 20ms Latency https://www.cined.com/hollyland-pyro-7-ultra-released-calman-calibrated-7-inch-wireless-monitor-with-4k60-and-20ms-latency/ (01:31:15) CAME-TV KUMINIK8 PRO Now Shipping – 30-Hour Runtime, 518m Range, and $128 per Headset https://www.cined.com/came-tv-kuminik8-pro-now-shipping-30-hour-runtime-518m-range-and-128-per-headset/ (01:35:52) CODEX CFexpress Cards Announced – Type A and Type B, VPG1600, and a USB4 Reader https://www.cined.com/codex-cfexpress-cards-announced-type-a-and-type-b-vpg1600-and-a-usb4-reader/ (01:39:23) CineDream Releases Native Plug-Ins for Premiere Pro, After Effects, Final Cut Pro, and DaVinci Resolve https://www.cined.com/cinedream-releases-native-plug-ins-for-premiere-pro-after-effects-final-cut-pro-and-davinci-resolve-on-image-grading-with-aces-2-0-color-management/ (01:41:13) Caira Adds Generative Video Editing – Gemini Omni 1.1 Flash, Runway Aleph 2.0, and 720p or 1080p Output https://www.cined.com/caira-adds-generative-video-editing-gemini-omni-1-1-flash-runway-aleph-2-0-and-720p-or-1080p-output/ (01:47:29) Chasing the Glow – Understanding Halation and Why Filmmakers Keep Coming Back to It https://www.cined.com/chasing-the-glow-understanding-halation-and-why-filmmakers-keep-coming-back-to-it/ Let us know what you think about the OrBrella in the comments, write to us at podcast@cined.com, and subscribe for the IBC coverage coming over the next two weeks.

Scott and Wes talk about WebMCP with Sarah Drasner and Dominic Farolino from the Chrome team, which is the new W3C standard that lets your site hand real tools to an agent. They cover the security model, headless and multi-tab agents, and how to wire it into an app you've already shipped. Show Notes 00:00 Intro 00:46 Welcome to Syntax! 01:18 What Is WebMCP and How Is It Different from MCP? 02:32 WebMCP for UI: Enabling Agents to Use Websites Directly 06:05 Brought to you by Sentry! 06:43 Is This Just a Chrome Thing? W3C Standards and Open Development 11:49 WebMCP Security: Annotations, Hints, and Multi-Layered Defense 15:26 Best Use Cases: E-Commerce, Video Editing, and Complex UIs 16:27 The WebMCP Challenge: 5,000 Entries and Creative Applications 19:20 Headless WebMCP: Running Agents in the Background 22:43 Multi-Tab Scenarios: Using WebMCP Across Multiple Sites 24:23 WebMCP and Security: Safe Origin Policy and Agent Containment 28:09 Performance and Core Web Vitals for the Agentic Web 38:11 The Future of Web Monetization: Ads, Commerce, and Agent Payments Universal Commerce Protocol x402 40:53 Building an Agent Platform: Extensions, Harnesses, and Browser Vendor Roles 45:19 Support from Anthropic, Safari, Firefox, and Other Players 49:11 Getting Involved: Origin Trial, Community Feedback, and the W3C Spec Ora 52:45 Sick Picks + Shameless Plugs Sick Picks Scott: Wes: Dominic: Steven Pinker: The Sense of Style Sarah: Vintage Story Shameless Plugs Scott: Wes: Dominic: X account Sarah: 25% discount with code Community25 at AGNTCon 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

It's part 2 of our reunion with Everpure technologists Andrew Miller and JD Wallace to continue our deep dive into the latest platform and technology innovations. This second part of the special series focuses on the advanced layers of the Everpure platform, moving beyond foundational storage to explore how the intelligent control plane and data intelligence are reshaping enterprise operations. Our conversation breaks down the shift toward intelligent automation, detailing how Fusion and Pure1 empower IT teams to manage massive data estates as a single cohesive entity rather than fragmented islands. Andrew and JD explain the practical benefits of an open and interoperable architecture, discussing how modern MCP servers and API driven integrations enable admins to evolve from managing individual arrays to acting as strategic data architects. Our episode concludes by unpacking the transformative role of Everpure Data Intelligence and the Enterprise Data Cloud success blueprint. We highlight how these tools bridge the gap between observation and automated action, helping organizations solve complex challenges like semantic data sprawl, cyber resilience, and AI readiness. Listeners will gain a clear roadmap for scaling their operations and driving better business outcomes with a truly unified data strategy. To learn more, visit: https://www.everpuredata.com/pure-launch-updates-releases.html? Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Coming Up and Intros 03:05 Recap on Data Primacy Narrative 05:44 Simplicity at Scale with Fusion 12:41 Open and Interoperable 16:38 App Intelligence 21:40 Agentic Features 24:12 Rebalance and Mobility 27:59 Automation Your Way 31:40 Universal Data Intelligence 34:50 Why Data Intelligence Now 40:35 Personas for Data Intelligence 46:48 Enterprise Data Cloud Outcomes

Rethinking how you work and implementing guardrails for AI with Andrew Wilder and Miranda Wicker of NerdPress. ----- Welcome to episode 587 of The Food Blogger Pro Podcast! This week on the podcast, Bjork interviews Andrew Wilder and Miranda Wicker of NerdPress.  Building Smarter Systems as a Creator with Andrew Wilder and Miranda Wicker This week on the podcast, Bjork sits down with Andrew Wilder of NerdPress and Miranda Wicker for a conversation on AI, content creation, and what it means to stay human in an increasingly automated world. They dig into a question every creator is facing right now: Are you reacting to the AI shift, or are you using it to rethink how you work? They'll walk through real examples of AI integrations, memory, skills, scheduled tasks, and MCP connections, including NerdPress's very own guided agent connector, built with guardrails and approval steps for safer site management. If you've been wondering how to use AI to work smarter without losing what makes your content yours, this episode is a great place to start! Three episode takeaways: Rethink instead of reacting: Rethink instead of reacting: Andrew and Miranda discuss how creator businesses have weathered the changes to search over the last few years. Their key takeaway: it's time to rethink how you work, not just brace for what's next. Use AI as a tool, not a ghostwriter: AI shines at research and repetitive work, but if you allow it to write for you, be prepared for writing that's just average. Let AI support your process, but allow your own passion and expertise to shine through in your own writing! Implement guardrails to make AI safer to use: Memory, skills, scheduled tasks, and MCP connections — Andrew and Miranda share how they're putting these to work, including NerdPress's guided agent connector, which includes approval steps for safer site management. AI can help you do more, but with just enough oversight to keep it from going rogue. Resources: NerdPress Imagine I handed you 10,000 brilliant employees tonight. What would you do with them tomorrow morning? — @PeterDiamandis on X Slack Claude ChatGPT Granola Littlebird Episode 584 of The Food Blogger Pro podcast: A Step-by-Step Guide to Using Claude as a Food Blogger with Shruthi Baskaran-Makanju OpenClaw Caffeine and Cabernet Clariti Raptive Join the Food Blogger Pro Podcast Facebook Group Thank you to our sponsors! This episode is sponsored by Yoast and Clariti. Learn more about our sponsors at foodbloggerpro.com/sponsors. Interested in working with us too? Learn more about our sponsorship opportunities and how to get started here. If you have any comments, questions, or suggestions for interviews, be sure to email them to podcast@foodbloggerpro.com. Learn more about joining the Food Blogger Pro community at foodbloggerpro.com/membership.

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Show Notes: https://securityweekly.com/asw-399

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-399

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Show Notes: https://securityweekly.com/asw-399

Kane Kallaway recently built a new Instagram account to 50,000 followers and drove over $100,000 in revenue in just 82 days. He did it without a single video reaching a million views. In this episode, he breaks down his 3-2-1 method for building an audience that buys using Claude. Start using Gamma today: https://gamma.app/?utm_source=youtube&utm_medium=influencer&utm_campaign=July&utm_content=akg_TheCalumJohnsonShow Sign up to Hyperagent & get $100 in bonus credits: https://www.hyperagent.com/calum Follow Us!https://x.com/calum_johnson9https://www.instagram.com/calumjohnson1/?hl=en https://www.instagram.com/kallawaymarketing/?hl=en Timestamps: 00:00 Intro 09:51 Why your audience isn't buying 20:03 The TRUTH about what AI is good at 26:18 Do this before you build an audience 30:18 How I made $100,000 in 82 days 35:20 How to write a bio that attracts buyers 40:07 Why going viral can kill your revenue 44:31 How to build an audience that buys (3-2-1 method) 53:26 [LIVE SCREEN SHARE STARTS] 58:32 Claude skill that helps you find your ideal audience 01:09:43 How to know if your content is attracting buyers 01:13:31 How to find the best content ideas 01:23:08 Use this MCP to turn Claude into your content strategist 01:35:02 Get them addicted in 4 seconds (use this skill!) 01:40:27 Do this exercise this weekend

Don’t miss this massive ecosystem shift! Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ Host Vince Menzione sits down with industry leaders Nicole Dziedzic, Erwin Visser, and Mira Ayad to uncover the critical transformations happening across the technology ecosystem and marketplace. The panel explores the impact of Reseller Enabled Offers (REO), the changing role of distribution into aggregation, and the immense opportunities surrounding agentic AI. They also dive into why MSPs need to ruthlessly simplify their technology stacks to make room for business value selling, and how data tools like ASPX are changing the game for proactive channel strategies. https://youtu.be/4Ox507-0l_8 Key Takeaways The marketplace has completely transformed software procurement and is now rapidly expanding into the SMB sector. Reseller Enabled Offers (REO) allow partners to own private offers on behalf of ISVs while maintaining their trusted advisor status. Ingram has introduced the MCP server to help partners automate and pull necessary distribution data seamlessly. The next few years represent a “golden age” for MSPs if they can successfully adopt, build, and operationalize AI agents. Microsoft’s ASPX platform gives partners critical usage and marketing signals to proactively target customer opportunities. MSPs must simplify their bloated technology stacks to create space for selling true business value with agentic AI. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags agentic AI, Reseller Enabled Offers, MCP server, marketplace syndication, ASPX data, Agent 365, precision velocity, managed service providers, hyperscaler enablement, technology stack simplification, Ultimate Partner Experience, cloud solutions strategy, customer zero, ISV go-to-market. Transcript Nicole – Erwin – Mira Podcast [00:00:00] Mira Ayad: I think it’s a very simple formula. Start where your customer is at, like meet the customer. Where they act is not just a generic cliche state statement. [00:00:10] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way hyperscalers are partnering, how AI is remaking the channel. And what it means to win in 2026. [00:00:21] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes, the voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:43] Vince Menzione: It is the strategy because being in the room changes everything. Let’s start. [00:00:53] Vince Menzione: We’ve got some word friends of ultimate partner coming up now, and then I’m gonna have them come up and introduce themselves. Uh, most of these people I’ve had the opportunity to meet Nicole, come on up. Come on. Good to meet you. I’m gonna have everyone introduce themselves. This guy, I never know. I’ve never met this guy before. [00:01:12] Vince Menzione: Mira, great to see you again. We gotta be on stage about a month ago. Yes. And we get to do this again while a different panel conversation. So, terrific. [00:01:22] Vince Menzione: Nicole, we’re gonna start with you on from the far end and come this way. So I’ll have you introduce yourself to, to our audience. [00:01:27] Nicole Dziedzic: Yeah. So, uh, so I lead our, uh, US business for Ingram, uh, really focused on our customer success and renewals across our vendor stack. [00:01:36] Vince Menzione: Thank you for being here. [00:01:37] Nicole Dziedzic: Okay, [00:01:37] Nicole Dziedzic: thank you. I’m excited. Awesome. [00:01:39] Erwin Visser: Yeah. Uh, great to be here again. Thanks, uh, fin for, for having us and a lot of familiar faces. So, uh, Erman, Viser, uh, I recently changed roles, so four weeks ago, uh, in Microsoft. I’m, uh, I just, uh, started to, uh, to lead the, uh, the Cloud Solutions Strategy team, uh, still in GCPS, so our global channel organization. [00:02:01] Vince Menzione: And Mira, great to see you again. [00:02:03] Mira Ayad: Same here. Yes. I’m looking forward for this conversation. We had so much fun last time. [00:02:07] Vince Menzione: Yes, [00:02:08] Vince Menzione: so [00:02:08] Vince Menzione: good. [00:02:09] Mira Ayad: My name is Mira Ayad . I’m the GM for a global Microsoft marketplace. My team leads the strategy and operations. I’ve been with Microsoft for seven months, I think, but this is not my first rodeo. [00:02:21] Mira Ayad: This is my fourth time boomeranging to Microsoft. Yeah. [00:02:26] Vince Menzione: And for context for people, we have talked about marketplace quite a bit, but the conversation has expanded at Microsoft in, in bigger ways. Uh, before, was it November that. REO was announced. [00:02:39] Nicole Dziedzic: Yes. [00:02:40] Vince Menzione: Yes. We’ll talk about that. But maybe you, you talk a little bit about the reseller enabled, uh, offers and, uh, and maybe we’ll take, we’ll take us through that and then how Ingram has been a great partner, and of course, Erwin’s organization has been really front and center with some of this. [00:02:55] Vince Menzione: So let’s go there for, let’s go first tell us, tell us about, about REO. Sure. For those and, and your, your role is, um, we had Cy on stage yesterday. But your role is front and center with the channel, with the with the reseller community. Right. Taking marketplace into the resellers. [00:03:12] Mira Ayad: Sure. So, uh, Cyril is my partner in crime. [00:03:16] Mira Ayad: He leads the marketing for marketplace. Um, my team focus across all personas that hits marketplace from an ISV to channel partners, buyers, and even the Microsoft sellers themselves. Like how can we bring that vibe and that energy? To bring marketplace, to be front and center. Um, REO is, um, a feature that we’ve launched back in November and it’s, it was a very strong statement from Microsoft of how we’re bringing the channel partners into that marketplace journey. [00:03:45] Mira Ayad: With RE Reseller enabled offers, we allow partners to own the private offer that they can extend to their customers on behalf of the SDCs. So kind of bring that scale mechanism for SDCs to access that channel community and for the channel partner to remain the trusted advisor and provide not only marketplace, um, products, but Microsoft services their own professional services. [00:04:12] Mira Ayad: And wrap that and provide a one-stop shop for customers. [00:04:17] Vince Menzione: And it’s really lit up organizations like Ingram. Nicole, I like, it’s been a maybe a minute here, like talking about the evolution of Ingram. ’cause I think back at the old role of the DTI credit, availability of product and delivery, right? Yeah. The kind of the three things. [00:04:34] Nicole Dziedzic: Yeah, and those are still really, really important to the core of how we go to market. ’cause I think we heard yesterday, every dollar of software, uh, requires a dollar of hardware. So it’s not anything that we’re getting away from. But I think, you know, the marketplaces and the automation, and really where we’ve been transforming our business over the last six to 10 years is how do we take some of that transactional work away from our partners? [00:04:57] Nicole Dziedzic: Make it simpler so that you can really focus on more strategic areas. Marketplace has been a, a heavy part of our go-to-market and something that we’ve been embracing for many years now, um, and seen a lot of success in helping the partners on that journey and helping the vendors really accelerate that with the partner community and the end customers. [00:05:15] Nicole Dziedzic: But it’s also really enabled us to look at how do we wanna show up into our partners differently, right? So as we automate our business. Help our partners automate their business. We have the opportunity to upskill our own resources. And so some of the key areas that we’ve really been focused on is our post-sales motions, and how do we really ensure that the partners customers are leveraging the technology, optimizing it, and adopting it in a much faster pace. [00:05:45] Nicole Dziedzic: So that the investments that they’re making are netting an ROIA lot quicker. Those, uh, those have been things that we have accelerated across our vendor stack. Um, and I think it’s gonna become much more important as we continue to see technology evolve, especially around AI and co-pilot’s. A huge part of what we’ve been really focused on for the last year. [00:06:05] Nicole Dziedzic: Um, the biggest thing that we’re really seeing in the market today. Not just within the MSPs, but within our end customers is that they struggle in terms of how they really get the ROI out of it quickly. Um, and so our team is very human first. Uh, we do have digital motions, but really human first to really dive into the different personas. [00:06:25] Nicole Dziedzic: How do we help them attack that from an end customer perspective? How do we really help them drive value out of those solutions? [00:06:32] Vince Menzione: So what does enablement look like for them? [00:06:34] Nicole Dziedzic: Yeah, so, um, I loved the quote, uh, from some of the folks in the last session because it’s really about meeting our customers where they are. [00:06:42] Nicole Dziedzic: And so it is a, I always call it we play in the gray and we love to play in the gray all day. Um, because our partners and our our partners customers wanna interact differently. And so we wanna make sure that we have, um, ways to interact with them across. Stack both from a digital standpoint where you can really drive efficiency through digital messaging and marketing, um, all the way up to high touch. [00:07:03] Nicole Dziedzic: So those larger customers can get, uh, hands-on training and enablement. We can do it on behalf of our partners or with our partners to really drive that into the end customer, and then that enables us to really customize it. So what personas are we going to engage with? What are the key features we’re looking to get out of it? [00:07:20] Nicole Dziedzic: Um, and largely what are the outcomes that that company is driving towards over the next 1, 2, 3 years, so we can always stay ahead of what their needs are. [00:07:29] Vince Menzione: Nice. So Erwin, what is Microsoft doing to enable this distribution channel to be more effective with partners? [00:07:36] Erwin Visser: Yeah. Uh, it’s a great question. And, and Nicole, I I love how you, uh, and, and Ingram is, is kind of really leaning in mm-hmm. [00:07:43] Erwin Visser: In driving these customer outcomes and, and helping your partners that even if needed, kind of working with your partners or stepping in front of your partners to help drive these outcomes. ’cause I, I think that’s, uh, we’re. Uh, it clearly ev you, you need to meet the customer where they is. But, uh, having helping customers adopt ai, adopt these new AI solutions agents, I think that is going to be super important for partners to drive, uh, incremental value and also the ROI for themselves as well as for the, for the customers. [00:08:14] Erwin Visser: But Microsoft is, have we, um, one of the things that we are heavily investing in at this moment is our skills platform, our scaling platform. So we, we, if, if people have followed us, we kind of revamped it in the last three, four months. Uh, and we are really not just investing now heavily in technical skills, but also project readiness skills for partners as well as sales skills. [00:08:37] Erwin Visser: Uh, like how do you sell in this new world of, uh, of ai. So where you can see, uh, uh, incremental, uh, ongoing investment in our scaling platform. Um, the other thing that we’re, we’re really working on at this moment, uh, with our. Tech team is, is building more helping partners to build like standardized service offerings and also understand this what’s, what is the capability they need to be successful in and, and become ed themself. [00:09:05] Erwin Visser: And, and we’re doing that also in partnership with the, with income. So income can use kind of some of these, these frameworks than to, to leverage them for their partners and then help with, uh, with that enablement. [00:09:18] Vince Menzione: So Mira when we think, so we think about it from a couple different lenses here, right? [00:09:22] Vince Menzione: Because we’ve got the Microsoft first party products that are, that are being offered through distribution channel to customers, and then we have what I call third party, right? Mm-hmm. Which is a lot of what the marketplace does. It does both. But I think about the marketplace, I think about ISVs, I think about agentic ai. [00:09:40] Vince Menzione: How do we, how do you bring it all together? [00:09:43] Mira Ayad: Um, the way I think of marketplace, and you and I talked about this before, yes, it’s that intersection where SDCs ISVs services and solutions meet. First party solutions meet professional services provided by system integrator and all wrapped up to provide that complete solution for customers. [00:10:04] Mira Ayad: So marketplace, kind of that perfect intersection for all of those parties to meet, um, from a customer perspective depends on the segment. We all know that marketplace is born and raised to be an enterprise tool. Now we’re seeing more and more s and b customers coming trying to leverage marketplace. [00:10:20] Mira Ayad: Yeah, [00:10:20] Vince Menzione: very much so. [00:10:21] Mira Ayad: So the role of enablement and how we activate the channel to really be front and center, more proactive as they go and talk to their SMB customers. Find the ways to monetize their solutions and their services for the SMB customers so they can adopt that marketplace. Because with everything that’s happening in the industry, one thing we know for sure that marketplace transformed how procurement of software happens. [00:10:46] Mira Ayad: Yes. And it’s here to stay. [00:10:48] Vince Menzione: Very much so. Very much so. And Nicole, I’m interested too on, on this side because we, we have, this is the first year that we’ve invited quite a few MSPs into the room as well. Right. We were very much ISV and reseller and, and SI focused. Uh, this time has changed like no other. [00:11:05] Vince Menzione: Right. We’ve been talking all morning about all this agentic ai. As an as an MSPI, my my sense is like I need to have my hands on the steering wheel for my customer at all times. And how are you thinking through it? How are you working with those organizations on driving some of that? [00:11:22] Nicole Dziedzic: Yeah, so again, it’s about meeting even our partners where they are. [00:11:26] Nicole Dziedzic: And so one of the things that we’ve recently released at Ingram is our MCP server. And so how do we enable our partners to then connect their agent capabilities that they’ve built internally to grab the data from Ingram so that they can interact with us how they want to, you know, we have our platform and, and. [00:11:43] Nicole Dziedzic: We don’t wanna force everybody to go into a platform. And so that server is gonna enable you to build capabilities internally in the tools that you’ve already invested in so that you can, again, refocus your energies and your teams, um, on selling on these new go-to markets that enables you to grab the data that you need and. [00:12:03] Nicole Dziedzic: Essentially a snapshot of your account when you’re buying through distribution, all with a really simple click of a button. I know I, I oversimplify it, but I’m not that technical. Um, but it is really a click of a button. And so as we continue to release capabilities, API feeds, if you’re connected via that server and you have those agent capabilities already internally, then it’s as simple as us just continuing to release and you’ll continue to be able to grab that information. [00:12:28] Vince Menzione: Mira’s gram’s approach, what you’re starting to see across most of the distribution channel. Yeah, [00:12:34] Mira Ayad: more or less, yes. Like we, we’ve seen, we’ve partnering with Ingram on, on multiple fronts. Uh, there’s another feature that we bring and Ingram has been our, uh, partner in crime, which is syndication, which we push the marketplace listings into the Ingram portal to support what Nicole just said. [00:12:52] Mira Ayad: So partners get to use the tools that they are using today. We’re meeting them where they are. We’re not forcing them into one platform over the other. Um, I think enablement. The role of enablement and the distributor as an enabler is going to grow even more. Uh, switching that message of how can you sell a task oriented agent versus a solution [00:13:17] Mira Ayad: Yes. [00:13:17] Mira Ayad: Um, is a, is a game changer. And we also see, I I like to say this, like distribution are now becoming an aggregation and a distributor. Yes. So they get to aggregate all that solution between all hyperscalers marketplaces. And find that core enablement so partners can be a plug and play and use their core competency to sell and be that trusted advisor for their customer instead of wasting time trying to figure out where to get enabled or how to get enabled. [00:13:44] Mira Ayad: Mm-hmm. So absolutely a hundred percent the aligned. [00:13:46] Vince Menzione: Yeah. Enablement seems to be a big theme here, right, Nicole? And, and, and you’ve got some new products is MCP server and. Some of the things you’re doing there as well. [00:13:55] Nicole Dziedzic: Yeah, I would say even above and beyond the, the MCP server for the automation, you know, enablement enable is kind of our core function of our enablement strategy and enable ai, enable MSP are two of the most recent ones that we’ve released to market. [00:14:10] Nicole Dziedzic: Um, one of the things that we’ve really identified. Especially within the M-S-P-S-M-B and mid-market partner community is that there’s still a struggle in what does AI actually mean for my strategy and out to my end customers. And so we’ve created paths to enable our partners, MSPs, their end customers on how do you build that strategy for AI that’s both going to create outcomes for your end customers, um, but also be safe and secure as you kind of bring it to market. [00:14:39] Vince Menzione: Erwin on your side, on the marketing side, and you just shifted roles. You were [00:14:43] Erwin Visser: Yeah. Know. Yeah. Piece. Well, I didn’t forget everything that I did. Okay, good. No, I, it was only last week. Right. I’m, I’m getting older, but I still have a little bit of memory. Last year, uh, the, the, um, yeah, I wanted, uh, react quickly on the, on MSPs, especially think it’s incredible time. [00:14:59] Erwin Visser: And, and, uh, and, and so you, I think most people probably know that Microsoft, this, uh, our fiscal year start on July 1st. So May, uh, uh, April, may up to June is like really our crunch time for planning. So we’re in the middle of it. But, and, and without seeing, like giving you too much like insights or details, but. [00:15:18] Erwin Visser: We, we believe there, uh, is an in significant opportunity, almost like the golden age for MSPs in the next years. [00:15:25] Vince Menzione: Yes. [00:15:26] Erwin Visser: Uh, if they are able, the, the partners that are able to embrace ai, and we, we kind of think about it in, in maybe in three different like steps or, or framework of clearly, uh, being a customer, zero. [00:15:41] Erwin Visser: And I assume a lot of people, or a lot of people talked about it in the last day and a half, so I don’t have to go in deep here, but hey, you have to adopt the technology itself to be able to deliver and sell it to customers. But then the, the other two steps that we believe one is, uh, uh, built an an agents or an agent accelerator and, uh, that can mean that. [00:16:02] Erwin Visser: Uh, leverage, uh, marketplaces for finding and customizing agents or having competency in-house to build agents for your customers. And then the third step is, is operationalize agents. And I think pe the partners that have experience at this moment with managed services probably have a step ahead. ’cause we had the in. [00:16:24] Erwin Visser: For more and more customers in the future, we’ll rely on a partner to manage and to help support their, their, uh, agent infrastructure. And so, uh, MSPs that can really, uh, jump into that and can help customers to manage, protect, secure, uh, uh, uh, their, uh, their agent in, uh, infrastructure, uh, that will be an an significant opportunity. [00:16:49] Erwin Visser: Um, one of the products that, you know, I’m, I’m not gonna do a product pitch yet, but still, I’m gonna mention you can, [00:16:55] Vince Menzione: and you can also share things that are gonna be announced with us as well. [00:16:58] Erwin Visser: Well, this is, uh, this is, this is announced already, but hey, we, uh, one of the technologies we are very excited about that’s, uh, hopefully can also support MSPs is, uh, agent 365. [00:17:10] Vince Menzione: Yes. [00:17:10] Erwin Visser: Which, uh, which really can help partners to, to kind of like secure and manage and, and drive governance around [00:17:17] Vince Menzione: agents. Still, still very new product by the way. [00:17:19] Erwin Visser: Yeah, it’s, uh, uh, [00:17:20] Vince Menzione: makes a big difference. [00:17:21] Erwin Visser: Awesome. [00:17:23] Vince Menzione: So, Mira, this is very, you know, it’s funny because initially when you would think about what you, what you’re doing with REO as being like big ISVs, selling big solutions through marketplaces, we, we now brought the channel in. [00:17:38] Vince Menzione: But now the ag agentic has really changed the things dramatically. Right, right. Let’s talk about that. How does it, how does it fit into your strategy as you go into the SMB market as well? Right. [00:17:48] Mira Ayad: Great question. And um, I’d like to tell a story in a little [00:17:52] Vince Menzione: bit. Please, please. [00:17:53] Mira Ayad: So, one of my greatest mentors, um, I was just having a chat with him a couple of days ago, and I’m just like, the market is changing faster than anyone can catch up. [00:18:02] Mira Ayad: And he told me, Mira. It’s not a chess game anymore, it’s a squash game. So it’s all about being agile, beating the ball with it, what it is, uh, and moving fast. And I think the strategy for marketplace and for the channel, Microsoft has always been a channel first company, so this is not a news for anyone. [00:18:20] Mira Ayad: Next year we’re focusing more into bringing the channel into marketplace. We are having, and I’m sure Sarah talked about it, uh, yesterday a little bit. We’re having very targeted approach to bring. Agents that customer actually wants into marketplace. So not just a, a traffic jam of agents. Uh, we’re being very precise about it from a channel perspective. [00:18:44] Mira Ayad: Alex? Agree. My colleague, she has a, an a a session later. She [00:18:48] Vince Menzione: does for having Alex on stage here. [00:18:50] Mira Ayad: Yes. And she’s gonna talk more about this channel strategy overall, but being customer zero. Is big for us and precision velocity is something else. Like how can we help the partners [00:19:00] Vince Menzione: precision velocity. I like That’s [00:19:02] Mira Ayad: right. [00:19:02] Mira Ayad: And she’s gonna talk a lot about it. I’m [00:19:04] Vince Menzione: not gonna say [00:19:04] Mira Ayad: her thunder. [00:19:05] Vince Menzione: I wanted to hear, I wanna hear more about it. So it’s, it’s compelling. [00:19:08] Mira Ayad: I know. Just, uh, a under session today, [00:19:11] Vince Menzione: well, I think I’m gonna be leading it, but come in this afternoon. Absolutely. [00:19:16] Mira Ayad: Absolutely. Yes. So moving from being a scale player to actually know what you’re really good at and have that precision. [00:19:23] Mira Ayad: To sell and get your customer where they want to be. I think it’s, it’s all how the strategy is aligned, yet shifting a little bit to reflect what’s happening in the industry. [00:19:33] Vince Menzione: And you’re no stranger to marketplace. Right. Um, we talked about your career journey, but you start off in Microsoft. We sort of knew each other back in the day, right? [00:19:43] Vince Menzione: Yes. Public sector. [00:19:44] Mira Ayad: Yes. [00:19:44] Vince Menzione: And then you left and you went across the river or across, across the lake. It was a lake or river? The lake. Lake. Yeah. You can tell I don’t live here, but [00:19:53] Mira Ayad: it’s a pond. [00:19:53] Vince Menzione: It’s a pond, yeah. [00:19:55] Mira Ayad: Um, so yes, I did start in, uh, Microsoft as a PDM for public sector focusing on education partners. [00:20:00] Vince Menzione: Yeah. [00:20:01] Mira Ayad: Um, [00:20:01] Vince Menzione: Anthony Salcito. [00:20:02] Mira Ayad: Anthony STO was the GM back then. And then I spent some time in an ISV. Um, it was a startup. I think I’ve, I had like my MBA on how to start businesses there. Which I boomerang to Microsoft to be part of the architecture team of a tiny program. I’m not sure if you guys are familiar with it. [00:20:23] Mira Ayad: It’s called CSP. So I launched CSP for the channel partners hosting telco’s, distribution. And then, um, our neighbors across the pond called the pond, me to come and help them build a channel program. Um, and then for, for three years, and then I spend the next seven. On AWS marketplace, uh, helping with, uh, channel adoption and strategy and enablement. [00:20:50] Vince Menzione: Nice. Very nice. Okay. And, um, the perspective on that as well. Bringing you, you talking about being precise. I think I heard what I, what I gleaned from your last set of comments is it can be so overwhelming to have all these agents, thousands and thousands of agents out there, how do, how do I decide, what do I go do and do the agents conflict with one another in terms of how they, how they react, and how they maybe start procuring on my behalf. [00:21:18] Mira Ayad: Um, I think it’s a very simple formula. Start where your customer is at, like meet the customer where they at is not just a generic cliche state statement. Customers are gonna lead our MSPs, our channel, our distribution, and our hyperscalers with their marketplaces or what needs to be built and how fast they want it. [00:21:37] Mira Ayad: And we should not lose sight of that. Um, just. Customer win is a win for everyone. That’s the, that’s, I think that’s the simple formula. And across all, uh, hyperscaler marketplaces, I think everyone is trying to win the heart and the mind of the customer first. [00:21:52] Nicole Dziedzic: Yes. [00:21:53] Mira Ayad: And then we, as the platforms and the channel community, we need to work very closely, um, with precision, with high level of, um, depth of knowledge to bring customers faster and make that customer zero. [00:22:10] Mira Ayad: From our perspective as an internal customer first and our first customer that we’re gonna build the case studies around to build that flywheel so we can accelerate that. So the first five offer becomes, the second, becomes the hundreds. Um, and this is how we bring it on. But always start from the customer. [00:22:26] Vince Menzione: I’m thinking about Jay’s slide yesterday, Jim McBain slide about the 28 moments [00:22:31] Mira Ayad: Yes. [00:22:32] Vince Menzione: And all the, all the partner types that are involved in that process. Right. The ISVs. Uh, CSPs, I mean actually lay out more partner types, ISPs, CSPs, distributor, uh, reseller, all all aligned in that customer journey and all. [00:22:49] Vince Menzione: And so just that coordination and that effort. I just wanna get everybody’s point of view on that maybe. [00:22:53] Erwin Visser: Yeah. [00:22:54] Vince Menzione: Or [00:22:54] Erwin Visser: you want start, Nicole? [00:22:55] Nicole Dziedzic: Yeah. I mean, I think it takes an army, right? And I think it’s about how does each. Each kind of persona simplify the process for the next person. And I think that’s probably the key piece of it. [00:23:06] Nicole Dziedzic: And I’ll, I’ll talk from a distribution lens, is that our goal is that we wanna make sure it’s simpler for our vendors, for our partners to be able to transact in the marketplaces. Um, and also be that conduit, right? To provide that feedback back to vendors around what’s working, what’s not working, so we can go faster, right? [00:23:23] Nicole Dziedzic: And so the partners can go faster, um, but also be super sound in how they bring it to market. [00:23:30] Vince Menzione: And I, and I think what I also got outta that conversation, I want to get your point of view on this, is because again, I go back to ISV thinking, direct selling model. [00:23:39] Mira Ayad: Yeah. [00:23:40] Vince Menzione: And oh, there’s this thing called the channel and oh, we have to go do this. [00:23:42] Vince Menzione: But I think what that illustrated, that slide illustrated to me yesterday. Was how important to have all the multiple touch points involved because the deal is happening before you were entering the room. Right. So how, how are you, how and again, why, why do ISVs? I think, I think the answer is right there. [00:24:00] Nicole Dziedzic: Yeah. I, it’s about how do we scale you and how do we simplify. For the partners. Um, I think the biggest challenge that young ISVs really run into is that they do forget about the channel. And the channel is massive. Um, and the channel gives you reach and it gives you scale by leveraging MSPs and better communities. [00:24:24] Nicole Dziedzic: Distribution comes into the fold because we are that scale for the partners themselves. We are that scale for the MSPs, right? And so there has to be a connection between the two to really enable the ISVs that are direct today, um, to scale to probably the levels that they wanna scale, and a trusted partnership where we can bring in. [00:24:46] Nicole Dziedzic: What works, what doesn’t work? Best practices. ’cause we have worked with a lot of vendors and we continue to work with a lot of vendors, um, on how to continue to scale their business. [00:24:55] Vince Menzione: What’s it, what do they get wrong? You mentioned the younger ISVs. Mm-hmm. The newer is more startup ISVs and the startup doesn’t take long. [00:25:02] Vince Menzione: You can get to a billion dollars. Yeah. Pretty quickly these days. What do they get wrong? And then how do you solve for that for them? [00:25:08] Nicole Dziedzic: I, I think what they get wrong at times, um, is building out a true partner program that makes sense for the MSPs, for traditional VARs, um, for sis to actually wanna participate, right? [00:25:24] Nicole Dziedzic: Because there’s a lot of competition out there, and you have to differentiate yourself. And part of that is making sure you’re not forgetting about what you’re. Partner program is gonna be to bring to market. I think that’s probably the biggest thing. The, the other piece is that, you know, there is a lot of solutions out there and so what’s your compelling event, compelling reason, right, for a partner to wanna bring you into their stock, into their end customers. [00:25:47] Nicole Dziedzic: And that is something that we, at times are missing as well, is, is what’s differentiating you from the person next to you. [00:25:55] Vince Menzione: Mira, anything to add to that? [00:25:57] Mira Ayad: Um, I think working with ISBs for the past, I don’t know how many years in my career, um, I always get asked the same question, how can I utilize marketplace? [00:26:06] Mira Ayad: How can I do the pricing? And I listed on marketplace, how come the deals are not falling from the sky? Yes, exactly. And um, my answer has always been. Listing a marketplace is the first step, not the last, right? What is your go-to-market strategy? How are you going to go to market? What’s the role of the channel that they want them to play? [00:26:28] Mira Ayad: Do you want them to become just a reseller and an extended Salesforce arm? Do you want them to take that to implementation and take your support? I think Microsoft kind of between all of the partner types that we have and the great distributors that we partner with, we kind of unlock that for guys because we can have that conversation and help them with their go-to market strategy. [00:26:49] Mira Ayad: But I think first is marketplace need to be in the beginning of the deals, not at the end. So they can always be like, okay, I’m going to be listed to the marketplace when they pitch that to the customer. Bring the marketplace philosophy and the channel into the deal making. Not on the 11th hour. Yeah. [00:27:06] Vince Menzione: Yeah. I liked what an ISV said earlier about actually unlocking their sales organization by putting incentives out there. Yes. To be marketplace first. Erwin, you, you’re the accelerant. Yeah. Go to markets. You’re the marketing guy in the, in this conversation. [00:27:21] Erwin Visser: Yeah. So I, I’m, I’m maybe, uh, I was thinking on the other side, it’s like, and there’s a clearly a role for the ISV. [00:27:26] Erwin Visser: Yeah. And opportunity through marketplace. I also think there’s an opportunity on the MSP side to really, uh, be proactive around, uh, the ISV solutions that you can deliver to your customers. And, and one of the things that, uh, I, I still see is that, uh, some of our partners are not using just the data that is available and that we also have, uh, as Microsoft and with Ingram give to our partners to really see what the opportunities are out there. [00:27:52] Erwin Visser: And, uh, a new, uh, platform that we released, uh, a few months ago. A SPX. Uh, I would kind of be curious to see, uh, hands up like, uh, of the MSPs in the room. Have you heard of a SPX? A few. Okay. So we still have a little bit more eventually to do here, but, uh, yeah. So we we’re, uh, bringing, uh, data sources to our partners, uh, that combine like usage data and marketing signals, other information that we have, licensing data that that really helps our partners also because. [00:28:24] Erwin Visser: To be, to understand where your customer is. Yeah. You first have to understand also the data of your customer and, and the signals that they are giving in the marketplace so you can help understand where the, the next opportunity is. And so we’re, uh, we have another great partnership with, uh, with Ingram around this data sources and in income enriches them and brings them to their resellers. [00:28:45] Erwin Visser: But I think that’s still, uh, uh, clearly if I saw the hands, an opportunity for us to, uh, to bring that more to the market. Yeah. [00:28:53] Vince Menzione: And let’s not forget the MSPs in this conversation, right? Because they are like at, at all, at all levels, whether it be first party, third party, cross marketplace. They are the instrumentation in front of the customer. [00:29:05] Vince Menzione: And I think there’s a great opportunity and know you talk about how you and enabling them. Um, maybe some last comments about how MSPs in this room could be more successful in the coming year, working with your organizations. Yeah. [00:29:18] Nicole Dziedzic: Yeah. I mean, I think for us it’s challenge us, um, bring forward things that you want and need, even if they seem outlandish from a distribution standpoint, right? [00:29:28] Nicole Dziedzic: We wanna continue to make sure we’re meeting you guys where you are with what you need and how you wanna be interacted with. Um, so I think that would probably be my biggest thing. I do. Before we, I just wanna go back to the as PX data real quick. I do wanna give a plug on the as PX data, because I do work with all of our vendors within Ingram and, and I will say the data. [00:29:46] Nicole Dziedzic: Availability that you guys have released has been above and beyond what we’ve seen from most of our vendors. We hear a lot of can’t share that it’s legal, can’t share that it’s legal. Um, this really enables us and the MSPs to, to see not just where their customer needs to go, but where they’ve been. [00:30:04] Nicole Dziedzic: Right. And so how do you really frame a conversation that’s really strategic by leveraging data and data that will intake and be made available for everybody that, um, purchases through distribution so that you can have that ready at your hand. So I just wanna reverse back to that ’cause it is a really great data set, um, and something we don’t see a lot of vendors actually released to the masses within the partner community within distribution to leverage. [00:30:29] Erwin Visser: Yeah. I, I love that quote, by the way, but it’s, thank you, Nicole. Uh, so the, but, uh, uh, your question is around how we are enabling MSPs, correct? Yes. Yeah. Right. So I had the, um, there, there’s a, there’s a few things here. Uh, I think that, am I, if I’m being honest, there’s still some points that we need to improve on our technology and our roadmap Yeah. [00:30:53] Erwin Visser: Of our technology. So this is clearly well understood within Microsoft and there’s areas that we are, uh, that we’re working on and, uh, we’re taking very serious, uh, at this moment. Good. Uh, to help you like, manage, uh, uh, our technology across, uh, uh, significant numbers of, uh, of, of tenants. Um, the, the second thing I would say is that clearly we talked about scaling. [00:31:16] Erwin Visser: We talked about enabling, uh, added technology to help you build out your managed services from, I would say from the, the, or the, the infrastructure to security to also agents. Now with some of the new technology that we, uh, that we have released. The, the third thing, and this is maybe more of an ask to the MSPs, is that, uh, when I talk to MSPs, when I see the research, uh, I believe that still at this stage, uh, you mo uh, the average Ms. [00:31:44] Erwin Visser: P has like 30 different products in the technology stack. That’s crazy. And, uh, and so I, I simplify. Simplify. Yes, I understand how you got here. Uh, it’s a lot of like, uh, best of breed, maybe selection through, through history. But I think, uh, my advice to MSPs is like, if, if, if you wanna create space for selling business value and for building out like an an AI accelerator for your customers, you need to find a also space to simplify your technology stack. [00:32:15] Erwin Visser: ’cause that’s what we believe. That’s not where the, the opportunity sits in the future. Uh, and that’s also not where I think the, uh, the, the margin sits for, for our partners in the future. So simplify your technology stack. We have ideas about that simplification clearly, but, uh, happy to talk to you about it. [00:32:33] Erwin Visser: But, uh, yeah, simplify and then create space for, uh, for really selling business value with, uh, with agenda ai. I think that’s a, a huge opportunity. [00:32:42] Vince Menzione: There any last comments before we start? [00:32:44] Mira Ayad: Um, a very short comment. So from an enablement perspective, we have a very intentional, proactive focus on enabling the MSP and FY 27 and the remaining of FY 26. [00:32:55] Mira Ayad: Um, yes, last year was the year of the channel. I think next year is going to be the year of, uh, marketplace Channel and MSPs. Um, but I do have an ask. We build marketplace. For you and with you, and you are the closest to the customer. So please be the voice of the customer. Bring us that feedback. Let us know how we can build a marketplace that meets your customer needs so it makes your life easier instead of having to spend time figuring out how to incorporate marketplace in your strategy. [00:33:24] Vince Menzione: I love that we had Jose Gomez. K. Uh, with us yesterday and he spent a lot of time with the partners to getting that feedback, so it was wonderful. [00:33:32] Mira Ayad: Another big guy. [00:33:32] Vince Menzione: Thank you so much. [00:33:34] Vince Menzione: Thanks for listening to The Ultimate Partner Podcast. If today’s [00:33:38] Vince Menzione: conversation resonated, share it with a partner leader in your network. [00:33:42] Vince Menzione: Subscribe where you listen, and head over to the ultimate partner.com. For show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything.

Turn hours of Amazon research into minutes with these Helium 10 MCP prompts and skills that uncover keyword gaps, ad opportunities, product risks, and smarter ways to grow your e-commerce business faster. What if hours of Amazon research could be completed in just a few minutes? In this episode, Bradley Sutton explores how sellers can utilize Claude Skills and Prompts with the Helium 10 MCP to streamline complicated workflows involving Cerebro, Keyword Tracker, Brand Analytics, Search Query Performance, Profits, and Ads. Instead of downloading reports and comparing spreadsheets manually, sellers can use a single prompt to uncover competitor strategies, seasonal keywords, organic ranking gaps, and overlooked advertising opportunities.   Bradley also explains how reusable AI skills can take this automation even further. He demonstrates an Amazon Recommended Rank skill that reveals how Amazon interprets a product and which keywords it considers most relevant. This can help sellers understand why a listing is struggling to receive impressions, discover valuable keywords with no organic placement, and identify stronger advertising opportunities based on Amazon's own relevancy data.   The episode also highlights creative submissions from the Helium 10 MCP Skills and Prompts hackathon contest. These include tools for diagnosing product performance, completing in-depth ASIN teardowns, analyzing Search Query Performance data, researching keywords across multiple marketplaces, reallocating advertising spend based on organic rankings, and scoring new product opportunities. Each example shows how sellers can transform fragmented data into clear reports, visual dashboards, and prioritized actions.   The biggest opportunity, however, is not simply copying somebody else's workflow. It is creating prompts and skills designed around the exact needs of your business. Whether you want to audit advertising performance, monitor keyword rankings, automate monthly inventory reporting, or evaluate your next product idea, AI can help you make faster and better-informed decisions. Start building your own workflows today, because the sellers who learn to turn data into action will be the ones best prepared to grow tomorrow. PS. Make sure to register for our Helium 10 Agent Webinar next Friday, September 11 at 1PM PST: https://streamyard.com/watch/RqVbZTMyfG5z   In episode 551 of the AM/PM Podcast, Bradley talks about: 00:00 - Introduction 00:49 - How Helium 10's MCP Turns Hours Of Work Into Minutes 02:52 - Competitor ASIN And Advertising Strategy Prompt 10:13 - The Difference Between AI Prompts And Skills 12:10 - Amazon Recommended Rank Skill 19:15 - Product Situation Analyzer 21:37 - Complete ASIN Teardown 24:25 - SQPR Pivot And Keyword Analysis 26:44 - Multi-Marketplace Keyword Research 28:19 - Organic Rank Analysis And Ad Spend Reallocation 30:18 - Amazon Product Opportunity Decision Engine 31:36 - MCP Q&A: Ads, Rankings, Automation, And Research 42:52 - Creating Custom AI Skills For Your Business

Would employees use AI differently if a practical project could earn them a 2 to 4 percent salary increase? In this episode of Tech Talks Daily, I welcome back Rytis Lauris, CEO and co-founder of Omnisend. We last spoke in December 2022, before generative AI became part of almost every technology and workplace conversation. This time, we examine why so many company AI projects attract attention during a demonstration but never become part of the work people do each day. Rytis calls this the "beautiful junk" trap. A prototype can look impressive, yet employees return to the old process when the agent makes mistakes, lacks context, or requires extra effort. He believes prompting is partly a delegation skill. People must define the result they want, supply enough context, and review the output. Managers face an unusual tension because employees often perform best with room to use their judgment, while AI agents require much tighter instructions. Another problem is the way organizations treat implementation. A traditional CRM project begins with mature software, installation, training, and a defined handover. An AI agent may begin with inconsistent results and improve only through continued use, evaluation, and correction. Rytis argues that businesses must treat agents as products that require ongoing ownership rather than projects that end after launch. Omnisend's response began with broad access to AI tools. The company then created recurring AI days when most employees canceled meetings and spent time experimenting. Accountants, lawyers, and other teams began building their own tools rather than waiting for developers. Rytis shares an accounting agent that checks whether employees have supplied reimbursement documents, sends reminders, and asks a person to intervene when repeated requests fail. He also describes a legal-review agent that examines new AI tools and assigns a green, yellow, or red status. Green tools can be used without further review, yellow decisions go to legal counsel, and red tools are rejected. Omnisend is now formalizing this approach by offering salary increases of between 2 and 4 percent. Rytis says individual contributors must demonstrate that AI is saving time on repetitive, low-value work. Employees can qualify by building a useful tool, helping colleagues create one, or becoming an effective adopter. Managers are also assessed on whether their teams are using AI to reduce time spent on routine tasks. The policy creates a genuine debate. Financial rewards can give employees permission and motivation to change established habits, but they could also encourage people to automate work simply because a reward is available. Rytis says Omnisend has not identified cheating or harmful behavior so far. Decisions are decentralized to managers, which gives teams flexibility but also places considerable responsibility on management judgment. He notes that Omnisend has approximately 260 employees, a scale that may make this approach easier to oversee than it would be inside a much larger enterprise. The conversation includes an example of a recurring agent designed to identify and recover failed customer payments. It assesses risk signals, detects failures, contacts customers through several channels, brings account managers into the process when needed, and reports results through a dashboard. The goal is to remove friction for Omnisend and customers rather than adding an AI layer with no clear result. Rytis also offers a candid account of customer-support automation. He says AI now handles around 40 percent of Omnisend's support tickets. When the system launched two years earlier, customer satisfaction was almost three times lower than the human team's result. Two employees worked continuously on training the agent, and Rytis says human and AI customer-satisfaction levels are now comparable. The figures are Omnisend results shared by Rytis during the interview and should remain attributed to him. A separately recorded section also covers AI inside the Omnisend product. Rytis describes recommendations that identify possible improvements in marketing automations, natural-language segment creation, and MCP connections that let customers work through ChatGPT or Claude before sending campaigns through Omnisend. He says these capabilities have received the strongest customer usage among the company's AI work. This is an honest discussion about incentives, experimentation, uncomfortable tradeoffs, and the patience required to turn an unreliable agent into a dependable colleague. Would a salary increase encourage meaningful AI adoption inside your organization, and who should decide whether the result deserves the reward? Listen to the conversation and share your thoughts with me.

Matt Watson is the Founder and CEO of Full Scale, an offshore software development company that helps U.S. companies build dedicated software engineering teams in the Philippines. A four-time tech founder and longtime CTO, he previously co-founded VinSolutions, an automotive software company that AutoTrader.com acquired in 2011, and later founded the developer-tools company Stackify. Matt brings more than 20 years of engineering and startup leadership experience to helping companies build and scale high-performing software teams. He is also the author of Product Driven and host of the Startup Hustle podcast. In this episode… As AI transforms how companies build software, they are rethinking what it takes to scale development teams without sacrificing quality, speed, or accountability. With global talent and increasingly capable AI tools changing the economics of software development, how can leaders build teams that are both more efficient and more effective? According to Matt Watson, a serial SaaS founder and longtime software leader, companies can scale development more effectively by combining offshore talent with AI-powered workflows while keeping human judgment at the center. He highlights how staff augmentation allows Philippines-based developers to work directly within a company's existing teams instead of operating as a separate outsourced unit. This approach can give businesses greater flexibility and access to experienced talent while maintaining stronger team integration. Matt also explains how AI tools, MCP servers, and shared plugins can streamline operations by connecting business systems, surfacing information, and standardizing repeatable workflows. As AI accelerates execution, he emphasizes that product thinking becomes even more valuable because teams still need people who can determine what to build, why it matters, and whether the outcome actually serves the customer. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Matt Watson, Founder and CEO of Full Scale, to discuss the future of software teams. They explore offshore staff augmentation, AI-powered business workflows, and why product thinking matters more as development accelerates. Matt also shares how AI is reshaping marketing and website development.

In our latest episode, co-hosts Robby and Tim talk with Demetrios Brinkmann, founder of the MLOps Community, the leading community for MLOps with over 90K developers in it today. He's also a Member of the Non-Technical Staff at the Agentic AI Foundation which is an open foundation advancing adoption of leading open source AI projects.This episode explores what it really takes to build a thriving community in a world where social media no longer provides the fast, meaningful feedback it once did. Drawing on lessons from growing the MLOps Community to tens of thousands of members, the conversation breaks down the difference between an audience and a true community, why consistency matters more than explosive growth, and why community-building is a marathon (not a sprint).The episode also covers the role of content, events, personal connections, and storytelling; why community shouldn't be treated as another marketing channel; and why fostering community needs to be a company-wide effort rather than the responsibility of one community hire. Plus, it touches on the rapid growth of AI and agent communities, including MCP, and what founders can learn from them.

Sponsored by Blocks: Save at least 20% on your AWS costs with AI-powered optimization and enterprise discounts. Get your free Cloud Check at https://blocks.cloud/alphalist?utm_source=alphalist&utm_medium=podcast&utm_campaign=blocks-podcast-2026 David Soria Parra co-created the Model Context Protocol (MCP), the standard that now underpins most AI agent integrations, and, before that, spent years as a core contributor to Mercurial and on Meta's internal source control team. He got into programming at 13, writing a PHP guestbook for a gaming website with friends, and hasn't really stopped building since. This conversation goes straight to the thing every CTO is quietly building right now: their own agent harness. David makes a surprisingly blunt case that harness writing itself isn't the hard part: "give it a bunch of tools, a bunch of execution steps, be a little smarter about context selection, and go," and that most companies would be better off configuring a strong existing harness than building their own from scratch. He and Tobi also dig into why the "MCP vs. CLI" debate is largely manufactured, how Meta and Anthropic both run on almost no prescribed process, and how David's own workflow has quietly shifted from local Claude Code sessions to Slack threads over the past six months. CTOs will walk away with a clear-eyed, unhyped view of harness-building from the person who literally created the interoperability standard. Everyone argues about when building your own is worth it, what to check for in a vendor contract, and where to actually put your attention instead of endlessly optimizing your setup. What's covered: - David's path from a PHP guestbook at 13 to Mercurial core contributor to Meta's source control team - Biggest lessons from Meta, and how Anthropic runs on even less internal process - His personal setup: a handful of skills, a few MCP connectors, and why he's a "vanilla" tool user - Why his day-to-day workflow moved from Claude Code sessions into Slack threads with Claude - The real MCP-vs-CLI debate — and why it was never actually a debate - Should every CTO or engineer build their own agent harness? - What's still defensible in software engineering as agents get stronger

SaaStr 876: Shipping Enterprise AI Agents with the CPOs of Rubrik, Glean, and Harvey Building AI agents is one thing. Shipping them to enterprise customers who will hold you responsible for every mistake they make is something else entirely. Jason Lemkin sits down with the CPOs of three of the most ambitious enterprise AI companies - Rubrik, Glean, and Harvey - for an unfiltered conversation on what it actually takes to go agentic in production. Not demos, not roadmaps, actual working agents at scale, inside security, legal, and enterprise search. Rubrik's CPO breaks down how they're building Ruby, their agentic interface for cyber recovery - and why determinism matters when your agent is making decisions about someone's core infrastructure. When an agent makes a mistake at Rubrik, the blast radius isn't a bad email. It's a broken recovery workflow. Emrecan Dogan (Glean) shares how Glean has evolved from enterprise search to a full system of intelligence - powering agents that run on behalf of entire departments, not just individual users. Plus: why MCP alone isn't enough, and what offline-processed context gives you that runtime fetch never will. Anique Drumright (Harvey) explains how Harvey deploys legal engineers - ex-lawyers with 8 to 10 years of practice - with every enterprise customer, and why that human expertise in the deployment pod is what makes agentic workflows actually stick in law firms. The group also digs into the question nobody wants to answer: when your agent takes an action and something goes wrong, who's responsible? And what does it mean to build a product when customers are going to use it in ways you never anticipated? If you're building agents, buying agents, or trying to figure out how to monetize AI in a market that's moving faster than any product roadmap can keep up with, this one is worth your time.

What makes an analytics or intelligence product indispensable when technical sophistication alone isn't enough to drive adoption, renewals, or sales? Why do POCs stall, why does adoption stay flat, and why aren't prospects nearly as excited about your (impressive) analytics tech as you are?      It's that the value never becomes obvious to the humans in the loop who do the buying, using, and justifying.     In this episode, I provide a framework for identifying the personas (roles) and experiences that can turn sophisticated analytical capability into perceived value. We'll explore the five essential control surfaces you'll need to address in your product and why founders and product leaders need to look beyond technical development (e.g., the delivery of AI models, dashboards, MCP connectors, agentic capabilities, and traditional interfaces).      I also examine the tensions that can emerge when incentives and goals for end users are not aligned with those of management and executive/fiscal buyers. Why does the efficiency ROI you sell to a management champion get read as a job threat to the operator/user whose adoption you need to succeed? I'll answer this, plus the reasons AI can complicate those dynamics, how to prevent your product from creating an Invisible Intelligence Gap for customers, and why one past podcast guest's “shipping the meter” matters much more than another feature. (That will also explain why I don't think dashboards are dead in the age of AI.)      Highlights / Skip to: Short-term stakeholders you shouldn't forget to satisfy (particularly during POCs/Demos) such as legal, compliance, and the game of defense “value be damned” they are playing (4:14) Not every mouth is equally hungry: deciding which personas deserve the most product attention (8:23) End users of your product such as developers, analysts, business users (often ICs) operating your product daily—and why the real bar is whether they would complain to the C-suite if your product went away (9:12) How managers of ICs (e.g., sales directors, customer service managers, VPs of data, etc.) might need something very different than end users, and why the manager's needs might be a threat to those very IC users. The 3-part fix? Making all parties look successful to their superiors; improving the lives of those stakeholders; and arming champions with the evidence fiscal buyers need  (11:08) The unique needs of executive and financial stakeholders who might have the most decision power while using your product the least (15:59) Why “shipping the meter” and the Invisible Intelligence Gap decide whether your product survives the next budget cut (17:07) The “AI Agent” as a “user” of your product: Why I think agents ride in a sidecar attached to humans and what you need to do to enable your customers and their AI agents to be successful (21:23) Why figuring out what control surfaces/UIs/UXs you may need to improve is the easy part if you know what they are a response to (26:37)   Links 197 - Agentic AI Isn't a Moat for Analytics Products.This is. - My episode on viable moats for BI/Analytics products in the age of AI The Invisible Intelligence Gap Behavioral Signals CEO Rana Gujral on “Shipping the Meter” is in Episode 198 Need help identifying the 5 control surfaces in your product and satisfying the human users behind them? Schedule a free discovery call with me

Meet Kallaway, the creator behind the Kallaway Marketing channel and the founder of Sandcastles — an AI research tool that helps creators find and validate viral video topics before they ever hit record. Kallaway started 4 businesses. All 4 failed for the same reason: no one knew who he was. No audience meant no customers, no leverage, no second chances. So he made it his mission to understand how audience growth actually works. He cracked short-form content at scale after years of building online businesses, and he built the research system he wished he'd had from the start. Now he has over a billion views, a 50% viral hit rate, and he built a tool to help other creators do the same. This episode is the full system. In this episode, we talk about: Content minutes — the framework for mapping how much trust your audience needs before they'll buy at each price point on your offer ladder The modern content stack: why short-form and long-form both need to funnel into email, and why that's the golden goose The 3 metrics that actually matter for content creators — ranked in order of importance, with views coming in third A live walkthrough of Sandcastles: channel watchlists, outlier score, deep video analysis, and how to use the MCP to run research through Claude By the end of this episode, you will have a clear research system for finding validated, high-trust video topics — and a framework for staying creative while using data to de-risk almost everything else. Book a free discovery call with 1of10 StrategyTry Sandcastles for free Full transcript and show notes *** TIMESTAMPS (00:00) Intro to Kallaway (01:03) Introducing “content minutes” (02:12) The modern content stack (03:45) Why you want a narrow ICP (05:40) The 3 metrics that matter (14:38) Sandcastles demo: building a channel watchlist from scratch (16:14) Why you study mid-size creators, not mega-famous ones (22:18) Deep video analysis: hook formula, storytelling structure, contrarian angle (24:59) Kallaway's research flow (30:47) Solving structure and scripting problems using your own channel's data (36:34) Data-enabled creativity: the thesis behind the whole system *** RECOMMENDED NEXT EPISODE #303: Riley Brown — The AI Content Creator Who Doesn't Write With AI *** ASK CREATOR SCIENCE Submit your question here *** WHEN YOU'RE READY

Most testers are stuck arguing about whether AI is coming for their jobs. Swati Seela thinks that's a distraction from a much more useful question: when we say "AI testing," what do we actually mean? What do you think? Take our TestGuild State of Test Automation Survey now: https://testgld.link/27data In this episode, Swati walks through the AI Testing Landscape, a practical framework she presented at CAST 2026 that breaks AI testing into five overlapping areas: AI assisted testing, AI evaluation and trust, AI development quality, testing products that contain AI functionality, and testing the AI models themselves. Each one has a different test intent, a different technique, and a different toolset, which is exactly why lumping them together leaves new testers with no idea where to start. Along the way Swati gets specific about the failure modes she keeps hitting in real work. Why AI opens almost every response by agreeing with you, and why that false sense of correctness is the modern version of a green dashboard hiding tests that stopped meaning anything years ago. Why her MCP test generator kept skipping the cataloging step, what that revealed about models trading completeness for speed, and how splitting one workflow into two got her reliability back. Why traditional Boolean assertions break down against probabilistic systems, and what your automation framework has to do instead. She also shares how she uses AI to learn hard material in the semiconductor world without losing the thread, what she absolutely will not accept without laying eyes on it herself, and her answer to whether a tester with a decade of experience should be worried right now. Her closing advice comes down to two things that have to travel together: testing fundamentals, and AI literacy. Don't hate it, don't love it, just use it.

Most of us repeatedly teach our AI coding agents the same lessons: ask questions before coding, write a specification, break the work into tickets, test everything, and review the result. Agent skills let us package those instructions into reusable workflows that an agent can load whenever they become relevant. In this episode, Matt and Mike explain what agent skills are, how they differ from prompts, project rules, tools, MCP servers, and custom GPTs, and why they can make AI-assisted development more consistent. They also explore Matt Pocock's engineering skills - including grill-with-docs, wayfinder, to-spec, to-tickets, implement, code-review, and handoff - and discuss why installing too many overlapping skills can make an agent worse instead of better. Show Notes: https://www.htmlallthethings.com/podcast/ai-agent-skills-explained-what-they-are-and-which-ones-to-use Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

Lindsay Rosenthal has 50,000 followers on LinkedIn and makes content alongside OpenAI, HubSpot, Atlassian, Descript, and LinkedIn itself. So when she told us she currently uses zero AI for her ideas... and stopped using it for her scripts and copy entirely... we stopped the conversation and made her explain. What she said next is the whole episode. There's a specific reason AI can make you competent and almost never makes you the best, and once you hear it you can't unhear it. We also got into the exact 30-day plan for someone sitting at 500 followers right now, why commenting is the most underrated sales activity on the internet, whether you should tell people you used AI, and the story of a guy who built a business on AI avatars and shut it down after a conference. Oh, and Fonzie's back. He brought the Waffle House rule.

AI is about to replace bloated SaaS, and most businesses are still only playing with chatbotsSean G Muller says the next wave of AI is not about better prompts or prettier copilots. It is about rebuilding business around context, agents, and what actually creates value - before your software stack becomes the expensive middleman.Mark Smth and Sean unpack why the last six months have been a genuine shift: agentic loops are now good enough to handle real business work, not just experiments. Sean explains how he moved from traditional technical architecture into building full application pipelines, MCP servers, and background agents that review email, track social signals, draft responses, and keep business moving without adding more human overhead.You'll discover why context is the missing ingredient in almost every failed AI project, how Sean uses a simple meal-planning example to explain it, and why companies that scatter knowledge across laptops, SharePoint, Google Cloud, and people's heads are sitting on hidden risk. Sean also breaks down the difference between AI as a feature and AI as a business transformation engine, including the mistake many firms make when they bolt chat onto old workflows and call it progress.We also get into the coming SaaS pocalypse - the idea that tools like HubSpot, Salesforce, Xero, Slack, and Atlassian may face a serious reckoning as businesses realize they can build leaner, custom, agent-first systems for less than the cost of endless licenses and modules. Sean shares how he built a headless, agent-driven CRM and why he thinks greenfield builds will replace expensive transformation projects much sooner than most executives expect. This conversation matters if you lead a business, run operations, own a small or mid-sized company, or simply suspect your current software is forcing you to work the wrong way. If you want to understand where AI is actually delivering leverage right now - and how to avoid wasting money on shallow pilots - this episode is essential listening.Mark Smth hosts the conversation and brings the enterprise and product lens, pushing Sean to get specific about what success looks like for real businesses in New Zealand.Sean G Muller is an AI and enterprise architecture specialist based in New Zealand, known for helping organizations build practical AI systems, implement agentic workflows, and rethink business process from the ground up.Resources1. The Cuckoo's Egg: Tracking a Spy Through the Maze of Computer Espionage - https://www.amazon.com.au/dp/0385249462?ref_=mr_referred_us_au_nz2. Gemini: A Family of Highly Capable Multimodal Models — 2312.11805.pdf ⁠https://arxiv.org/abs/2312.118053. On the Measure of Intelligence — 1911.01547.pdf - https://arxiv.org/pdf/1911.01547Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

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Podcasting 2.0 August 28th 2026 Episode 269 - "Verbal Pollution" Shownotes ------------------------------------------------------------------------------------------------------------------------------------- 00 - DATABASE SURGERY WEEK — AND THE THIRD EMERGENCY OF THE MONTH The lead, and it's Dave's: Saturday 22 Aug — "#api I'm in the middle of a big refactor with the Podcast Index database schema. If I do my job right, nobody will notice it. But, the side effect will be an overall huge increase in the consistency of the data (duplicates, url change lag, etc)." @dave — the big schema refactor (22 Aug) Wednesday night: "Podcast Index database surgery will begin in the morning." Thursday: "Step 1. Expect a brief api outage. It should last just a few minutes." — then "Done" — then "#api Adding a very large table index..." — and finally, Thursday evening: "Finished. Butt is intact." (6 favourites. The board's favourite status update of the month.) What Adam should ask: what actually changed under the hood, what does "consistency" buy an app developer in practice, and is there anything a host or an app should do differently now that duplicates and url-change lag are being cleaned up?