POPULARITY
Categories
→ Wanna use SEO to generate revenue? : Book a call here https://www.breakingb2b.com/book-a-call In this podcast, Sam chats to Alex Mann from Lunos.ai about why so much of SaaS marketing is BORING. Don't be boring > Learn how to be remembered, trusted & then chosen by your dream prospects! Alex spills the beans on:
00:08 — Sasha Schell, an investigative reporter who worked on a new report from UC Berkeley's Human Rights Center entitled Charting The Crackdown: the misuse of crowd-control weapons in immigration enforcement protests across the United States 00:33 — Annie Waldman, a reporter at ProPublica covering health care, recently out with deep dive into one of the most prolific producers and promoters of raw milk products, entitled “The Milkman” The post Investigation: widespread misuse of force at ICE demos. Also: the health toll of the growing raw milk industry appeared first on KPFA.
Join us for a fresh episode of Unfiltered & Undiscovered as we sit down with Marlten — a young, high-energy band still in school and making serious waves before they've even released their first official music!In this honest chat we dive into:• Their raw demos and what makes them special• Life balancing school and chasing the dream• The planned 2027 album and their vision for the future• Live energy, influences, battle of the bands stories, and what keeps them fired upMarlten brings that genuine, no-filter passion that defines the best emerging acts. If you love discovering the next wave of Australian rock before everyone else does, this one's for you.What did you think of Marlten's story? Drop a comment — are these the next big thing?Subscribe for more unfiltered chats with Australia's most exciting emerging artists. New episodes weekly!Follow Marlten on Instagram for updates on their demos and 2027 album. @marlten.music#Marlten #EmergingAustralianBands #UnfilteredAndUndiscovered #AustralianRock #NewMusic2027 #YoungBandsFollow on YouTube / Spotify / Apple Podcasts @ Unfiltered and UndiscoveredUnfiltered & Undiscovered — Real talk. Fresh sounds. Zero filter.New episodes drop weekly. Thanks for listening and supporting independent music!
AI is everywhere in business right now, but does every company really need to be “AI-powered” to survive?In this episode of Entrepreneur | Authorities, Joe Pardavila sits down once again with Demos Parneros, former Fortune 500 C-suite executive and longtime retail leader, to talk about what AI really means for retail, startups, founders, and customer experience.Demos compares today's AI rush to the early days of e-commerce, when many people believed brick-and-mortar stores were finished. Instead, retail evolved. Stores survived, e-commerce grew, and the companies that won were the ones that stayed focused on customers.This conversation explores where AI creates real value, where the hype gets out of control, and why simply adding “AI” to your company name doesn't mean much without results. Demos also explains how AI can help retailers better understand customer preferences, manage costs, improve operations, and make faster decisions.If you're a founder, entrepreneur, retailer, or business leader trying to figure out how AI fits into your company, this episode offers a practical look at what matters now and what still comes down to business fundamentals.Chapters00:00 Intro: AI, Retail, and Entrepreneurial Change01:15 Why AI Feels Like the Early Days of E-Commerce02:10 The Pressure to “Have AI”03:01 What Retail Learned From the E-Commerce Boom04:45 Why Companies Shouldn't Go All-In Too Fast06:02 How Startups Are Actually Using AI08:33 Founder Pressure and AI Credibility09:32 Why Some Companies Add “AI” to Their Name11:30 Why AI Makes Some Consumers Nervous12:50 Using AI as an Assist, Not a Distraction14:27 What “AI-Enabled” Really Means15:47 How AI Changes the Shopping Experience17:03 Old-School Leadership Meets New-School Productivity18:28 Why AI Doesn't Have to Mean Job Cuts20:24 What Separates AI Winners From Everyone Else21:46 Customer Obsession as the Real Advantage23:08 Is AI in Retail Overblown?24:30 Why Scale Changes the AI Equation25:34 How AI Gives Retailers a Competitive Edge26:51 Better Data, Faster Decisions, Smarter Operations28:13 How Retailers Can Avoid Leaving Customers Behind30:06 Where to Find Demos Parneros
We're back for Episode 182 of Pixel Gaiden! In this episode Cody and Eric catch up on the news and cover Battle Of The Failed Console FPSs - PO'ed (3DO) vs Alien Vs. Predator (Jaguar) 8:32 - Quick Questions 26:36 - Patreon Song 30:11- Tea Time With Tim - Game Dev With Gary 55:33 - Eric's Take - SOAPBOX - Physical Games 1:25:02 - News 2:16:39 - Battle Of The Failed Console FPSs - PO'ed (3DO) vs Alien Vs. Predator (Jaguar) News - Tim – Space Pizza! - New ZX Spectrum Next game is in development by Gary Pinkett who we know as my good friend Gary. The game started off as a simple thrust style game but has been developed very much with another game in mind, Space Taxi. The game takes place on different mazes in caves where you fly your ship around the cave to deliver a set number of pizzas to the waiting miners on each pad. Developments are coming thick and fast, including transporters to take you to different parts of the caves, time attack mode, high score and for online Next's your scores will be published in leaderboards. Lots more to come on this one and Cody, Eric and Tim will be testing this game as it moves along in development over the coming months. A more in-depth take is being covered on this month's TTWT as I chat with Gary about developing the game. Cody – NeoGeo Plus Update or not? Eric - Infe2tation (Mystery of the crystal moon) for the C64 by Monte Boyd is now out! https://monteboyd.itch.io/infe2tation Tim - New Amiga emulator called Copperline is out in beta format – Andrew ‘Linux Jedi' Hutchings is creating from scratch a new Amiga emulator for Linux that aims to be timing sensitive emulator that models the hardware for running heavy load Amiga titles like Demos and advanced games. https://copperline.dev/ Cody – This is Commodores Big News?! https://www.retronews.com/commodore-flip-phone/ Tim – Misft its at his VIC20 shenanigans again! Dr Posilo is a new platformer for the VIC that is in development and looks to be up to Misfits usual excellent standard on the VIC also looks to be another punishingly hard game! Cody – Free Game! GB https://devgb.itch.io/orbitduel https://bsky.app/profile/retrogamermisfit.bsky.social/post/3mpbmar2x722u Tim – Iam8Bit have opened pre-orders for a rerelease of Sonic 1 and Sonic 2 for the MD/Genesis... for $99! https://www.iam8bit.com/products/sonic-the-hedgehog-35th-anniversary-legacy-cartridge-collection https://www.iam8bit.com/products/sonic-the-hedgehog-2-35th-anniversary-legacy-cartridge-collection Eric - 2 New Evercade Cartridges Announced https://www.retronews.com/2-new-evercade-cartridges-2/ Cody - Vectrex Mini first 2 games are Web War and Berserk. Eric - Jet Set Willy VIC-20 port Out Now https://www.retronews.com/jet-set-willy-vic-20/ Eric - Make a beeline for the Amiga shooter revival Apidya' Special in August https://www.gamesasylum.com/2026/06/11/make-a-beeline-for-the-amiga-shooter-revival-apidya-special-in-august/ Eric - Commodore 64: The Birth of a Cultural Icon https://www.kickstarter.com/projects/graciousfilms/the-commodore-64-the-birth-of-a-cultural-icon News Of The Weird!!! Eric - A strange attempt to revive the 3DO is already dead https://www.engadget.com/2206578/3do-revival-empire-interactive/ Please give us a review on Apple Podcasts! Thanks for listening! You can always reach us at podcast@pixelgaiden.com. Send us an email if we missed anything in the show notes you need. You can now support us on Patreon. Thank you to Roy Fielding, Daniel James, 10MARC, Eric Sandgren, Brian Arsenault, Retro Gamer Nation, Maciej Sosnowski, Paradroyd, RAM OK ROM OK, Mitsoyama, David Vincent, Ant Stiller, Mr. Toast, Jason Holland, Mark Scott, Vicky Lamburn, Mark Richardson, Scott Partelow, Paul Jacobson, Steve Rasmussen, Steve Rasmussen's Mom, Retro Gamer Nation, Peter Price, Brett Alexander, Jason Warnes, Josh Malone (48kram), AndrewSan, Joe Ochwat, Mevunky, and Adam from Commodore Chronicles for making this show possible through their generous donation to the show.
#359: When was the last time you sat through a 30-minute product demo and walked away actually knowing anything? You would learn more from five minutes hands-on than an hour of watching someone else drive. Now you have help. An agent can watch the 30-minute video, play in the sandbox, read every page of the docs, and come back before you finish your coffee with a verdict - tried it, does not work, next. The agent is the new tire kicker. So if you are a vendor, an open source maintainer, or the person building the internal app nobody outside the building ever sees, the demo you have been giving is aimed at a buyer who already left the room. Your job now is to make life easier for agents. An MCP server, a CLI, skills, an AGENTS.md file, not blocking your own site with Cloudflare when someone's agent tries to read your pricing. Everything that makes a product easy for an agent would have made it easier for a human all along. We just never bothered, because we had months to burn. Now the clock runs in minutes and every corner we cut is suddenly on fire. Three kinds of demo, three different answers. The vendor sales demo is off-putting before it starts - if a website says book a call to try it, Viktor is already gone. Open source barely needs a demo at all: a good README, a quick start, an AGENTS.md, and the agent assembles a demo tailored to your stack, your database, your questions, instead of some generic happy path. Internal is where it gets good, and it might be the one that matters most since exactly zero apps ship without customization. Viktor's bar: stop showing me plans, show me the thing running. Sit the stakeholder down and build it live while you talk. Three days to a prototype instead of 300 pages of PRD. Sandboxes first, demos second - if you cannot spin up a sandbox, you did not build it right. And demo the failure modes, not the happy path, because resiliency is the real selling point now. Disks still fill up. No amount of AI magic empties them for you. YouTube channel: https://youtube.com/devopsparadox Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/ Slack: https://www.devopsparadox.com/slack/ Connect with us at: https://www.devopsparadox.com/contact/
Trocas de tiros, mísseis e drones voltaram a intensificar-se no Golfo Pérsico, com Trump a declarar o recomeço das hostilidades. Estamos mesmo em guerra ou é apenas um solavanco no caminho para a paz?See omnystudio.com/listener for privacy information.
Psychologist Linda Mintle of the Dr. Linda Mintle Show talks about how the science of communication and relationships is only going to prove what God said in Proverbs 18 that "Death and life are in the power of the tongue, and those who love it will eat its fruit." How do we apply that to our relationships? Peter Demos, author of "Bold, Not Belligerent," offers help for graciously, but boldly, standing up for your faith in a world that seeks to silence you. The Reconnect with Carmen and all Faith Radio are made possible by your support. Give now: Click here
Seit vergangenem Jahr werden antisemitische Vorfälle in Baden-Württemberg erstmals systematisch ausgewertet. Die Recherche- und Informationsstelle Antisemitismus hat 335 Vorfälle im Land registriert. Der Projektleiter Robert Ogmann spricht dabei von der "Spitze des Eisbergs". In SWR Aktuell schildert er einen Fall, der ihm besonders aufgefallen ist: "In Kehl wurden vier als jüdisch erkennbare Mitglieder der dortigen Gemeinde von einer zufällig vorbeikommenden Person bespuckt und beleidigt. Der Täter sagte: Fuck Israel und Free Palestine. Er begründete sein Handeln mit seiner israelkritischen und propalästinensischen Haltung." Judenfeindlichkeit gibt es von rechts, von links und aus dem Islam. Eine Form ist derzeit nach Ansicht Ogmanns besonders problematisch: "Wir haben es den anti-israelischen Aktivismus genannt. Im Fokus steht da das Feindbild Israel und zunehmend auch der Zionismus. Wir reden von Vernichtungswünschen, die auf Demonstrationen gerufen werden oder als Schmierereien und auf Aufklebern, die an Hochschulen zu finden sind." Was die Politik dagegen tun sollte, wollte SWR Aktuell-Moderator Christian Rönspies von Robert Ogmann wissen.
Filmmaker and activist Baroness Beeban Kidron has been warning of the digital dangers facing young people for over a decade, and has played a central role in establishing standards for online safety and privacy across the world. In this episode, she talks to Carl Miller about the technologies designed to capture our attention and the algorithms that can quickly leave children exposed to harmful content. They discuss the unchecked power of Big Tech, as powerful companies avoid rules and regulations, and capture governments that are meant to protect us. But the problem is not the technology itself, but what we've allowed it to come. They explore what positive change could look like, and how we can collectively impose democratic pressure to ensure we make safe the technology that will be alongside us now, and in the future. Baroness Beeban Kidron is a member of the UK's House of Lords and a former film director. Her new book, Users: How Big Tech Took Control and How to Fight Back is available in bookstores and online now. Carl Miller is an author and researcher at Demos. If you'd like to become a Member and get access to all our full conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events ... Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. https://www.intelligencesquared.com/newsletter-signup/ Learn more about your ad choices. Visit podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices
Mit Humor, Haltung und maximaler Provokation zerlegt sie patriarchale Strukturen und schafft mit ihrer selbsternannten „F*tzenmusik“ ihre ganz eigene Kunst. Im Interview erzählt Mariybu, wie Wut zu ihrer größten Antriebskraft wurde, weshalb Rap für sie das perfekte Ventil ist und wie es zum Cameo-Auftritt von Juju in ihrem Musikvideo kam. Außerdem geht es um Sexismus, Hass im Netz, Gewalt im Alltag, ihre Erfahrungen auf Festivals, den Umgang mit Hate-Kommentaren sowie die Konsequenzen, die sie mittlerweile für ihre Sicherheit auf Konzerten ziehen muss. #mariybu #interview #deutschrapideal ----------------------------------------------------------- Timecodes: 00:00 Highlights 00:35 Intro 00:59 Wie Mariybu zum Rap gekommen ist 02:04 "Mit 7 wurde ich das 1. Mal F*tze genannt" 03:26 Rap als Wut-Ventil 04:23 Ist Deutschrap offener für neue Sounds? 05:38 Hass-Nachrichten von Männern 07:14 Gewalt im echten Leben 10:23 Übergriff in der Bahn 13:04 Humor in Mariybus Musik 13:51 Auftritte auf Demos 15:33 "Wer mega Bonez-Fan ist, ist nicht mein Fan" 19:27 Zusammenarbeit mit Juju 20:45 Selfmade & eigenes Label 22:51 Neues Album, Tour & Auszeit ----------------------------------------------------------- SOCIAL MEDIA ► Mariybu bei Instagram: / mariybu_ ► Mariybu bei TikTok: / mariybu ► Deutschrap ideal bei Instagram: / deutschrap_ideal ► Deutschrap ideal bei TikTok: / deutschrap_ideal ► Simon bei Instagram: / simontellz ► Podcast zur Show bei Apple: https://apple.co/2k1o61o ► Podcast zur Show bei Spotify: https://spoti.fi/33a2QIT ----------------------------------------------------------- ▶ Deutschrap ideal ist eine Produktion des Hessischen Rundfunks für die ARD ----------------------------------------------------------- ►Credits: Moderation: Simon Vogt Redaktion: Mirco Brunnengräber, Simon Vogt Kamera & Ton: Nasir Mahmood Schnitt: Florian See Grafik: Carolin Glomp Fotos: Nasir Mahmood Social Media & Distribution: Vivien Jaschok, Sina el Batanony Teamleitung & Produktmanagement: Patrick Secker
Field demonstrations have become a staple of successful WI Farm Technology Days events. This year looks to be no exception. Bob Bosold visits with one of the volunteers who has repeatedly been involved with this element of the show. Ron Zygarlicke has served on the field demo committee for more than a decade. This year, he's adding a twist by including Italian ryegrass in the mix. There's already rain moving into western Wisconsin this morning. Stu Muck says that the cold front moving in will bring measurable rain from LaCrosse to Green Bay throughout the day. The rest of the state can expect it later tonight and into Thursday. Anastasia Poull is officially on the job as the 79th Wisconsin Alice in Dairyland. She's got a sweet task this month promoting July at National Ice Cream month. Pam Jahnke is happy to participate! Poull explains her background and passion for agriculture, and why explaining the state's role in ice cream production is a treat! Affordable housing is a conversation plaguing many Wisconsin communities. Finding affordable housing in rural communities is like finding a needle in a haystack - and nobody wants to talk about building more needles for that haystack! Kiley Allan gets the background from Tashayanna Mixson, Emerging Development Fellow (Emerging Rural Development Fellowship). The gap in available rural housing forces residents out of their hometowns and shackles local businesses from recruiting and retaining employees. Sponsored by grants from the Federal Home Loan Bank of Chicago, the rural development fellowship trains the next generation of developers to tackle rural housing shortages with custom, community-tailored projects rather than massive, urban-style apartment complexes. To achieve affordable homeownership, she advocates for the Community Land Trust model—a system gaining traction in Wisconsin that operates similarly to a condo model and helps secure long-term, attainable housing. Highlighting the scale of the crisis, Wisconsin's Office of Rural Prosperity projects that the state will require between 140,000 and 227,000 additional housing units by the year 2030.See omnystudio.com/listener for privacy information.
See omnystudio.com/listener for privacy information.
Algo dá errado no seu dia, você tem uma pequena discussão. Aquilo te chateia e de repente você se vê pensando em como poderia ter falado diferente, nas coisas que a outra pessoa falou, na tensão toda em si. E isso fica se repetindo, de novo e de novo, por horas, dias, a ponto de parecer que a sua cabeça entrou em parafuso.Não é à toa que essa repetição exagerada de pensamentos em torno de um mesmo tema tem o nome de ruminação. Assim como animais ruminantes engolem o alimento, depois o trazem de volta à boca para mastigá-lo novamente de forma lenta e exaustiva, a mente "ruminante" pega uma ideia, erro ou medo do passado e a mastiga psicologicamente repetidas vezes, sem chegar a uma conclusão ou alívio.E foi ruminando muito nossos pensamentos que a gente decidiu fazer essa conversa com a Dra. Maria Fernanda Calliani, que é Psiquiatra especialista em Transtornos do Impulso & Ansiedade, sobre ruminação. ------------------PITAYA: O CLUBE DE CALCINHAS QUE AMAMOS AMARassinepitaya.com.brCupom: DONAS15------------------UM AIRBNB EM GRAMADO PRA CHAMAR DE NOSSO https://www.airbnb.com.br/rooms/33580406?unique_share_id=891d6240-97dc-4f1f-ad72-5138ea8cf351&viralityEntryPoint=1&s=76Chama a Dâmaris no chat e conta que é nossa apoiadora, tá? Tem condição especial! :)------------------PRODUTOS DO DONAS DA P* TODA!www.enxamecolaborativo.com.br/brands/Donas-da-P-TodaAPOIE O PODCAST!www.apoia.se/donasdaptoda-----O Donas da P* Toda é um podcast independente. Produção, roteiro e apresentação: Larissa Guerra (@larissavguerra) e Marina Melz (@marinamelz). Edição e tratamento de áudio: Bruno Stolf (@brunostolf) Todas as informações em www.donasdaptoda.com.br e @donasdaptoda.
Welcome to Forgotten Odysseys, the game where surviving the Trojan War is apparently the easy part. Adam Bradford, also known as BadEye Adam, has created a MÖRK BORG-compatible Greek fantasy nightmare where the gods hate you, the sea hates you, the dice hate you, and sometimes your own party decides that prophecy is just a polite suggestion to commit murder. In this episode, the crew sets sail for home, immediately gets distracted by pork, insults a goddess, and proves that if Odysseus had access to a live Twitch chat, he probably would have died even faster. https://www.kickstarter.com/projects/badeye/forgotten-odysseys Show Notes This week on the RPGBOT.Podcast, we dive into Forgotten Odysseys, the creation of Adam Bradford, also known as BadEye Adam, and currently funding on Kickstarter. Adam joins the show to talk about building a brutal, mythic Greek journey home from the Trojan War using the bones of MÖRK BORG, then Josh Simons of Broken Door Entertainment takes the helm for a live play demo that immediately proves why sailors should fear gods, storms, wild animals, and shirtless leadership. Adam walks through the inspirations behind the game, from The Odyssey and Bronze Age Greek culture to Blood of Zeus, 300, Xena, and the gloriously doomed charm of MÖRK BORG hacks. The result is a sword-and-sandals survival game where the goal is simple: get home. The problem is Eris, goddess of strife and chaos, who believes you cheated death at Troy and would very much like to correct that oversight. The episode also explores the game's seafaring tests, deadly mishaps, journey map, mythic art direction, character classes, boons, curses, legendary items, and armor system. Then the actual play begins, and the party creates Dome, Demos, and Dephobos, three heroes whose collective survival strategy includes playing "Yankee Doodle Dandy" on a lyre, hunting boars in a storm, yelling at divine fog, and ultimately fulfilling a betrayal prophecy with alarming efficiency. If you like Greek mythology, doomed sailors, lethal rules-light games, gorgeous art-heavy books, and tabletop sessions where a boar fight becomes the emotional centerpiece of the evening, this one is for you. Key Takeaways Forgotten Odysseys is Adam Bradford's mythic Greek, MÖRK BORG-compatible game about soldiers trying to survive the journey home after the Trojan War. The game is currently on Kickstarter and is published in partnership with Broken Door Entertainment. Adam wrote, illustrated, laid out, and designed the game, giving it a strong personal visual identity inspired by Greek myth, comics, public domain art, and brutal sword-and-sandals drama. The central premise is not "become a hero." It is "get home before the gods, monsters, sea, dice, or your friends kill you." Eris replaces Poseidon as the primary divine antagonist, hunting the characters because they survived when fate said they should have died. The game keeps the deadly, strange, art-heavy spirit of MÖRK BORG while adding Greek myth flavor, seafaring rules, Bronze Age gear, legendary items, boons, curses, and a journey map. Seafaring tests let everyone contribute to survival, whether they are rowing, navigating, inspiring the crew, helming the ship, or playing music to keep the oars in rhythm. Character creation leans into randomness, misery, and personality, which is how the table ends up with Dome, Demos, and Dephobos, three names that sound like they were cursed before the dice even hit the table. The live play shows off the system's fast combat, player-facing rolls, armor tiers, and high stakes, mostly through the sacred Greek tradition of nearly dying to pigs. Demos learns that boars are dangerous, Dephobos learns that prophecy is inconvenient, and Dome learns that leadership is easier when nobody questions why someone was stabbed and thrown into shallow water. The episode is a strong showcase for the game's tone: mythic, deadly, beautiful, ridiculous, and always one bad roll away from becoming a cautionary tale. Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati
Welcome to Forgotten Odysseys, the game where surviving the Trojan War is apparently the easy part. Adam Bradford, also known as BadEye Adam, has created a MÖRK BORG-compatible Greek fantasy nightmare where the gods hate you, the sea hates you, the dice hate you, and sometimes your own party decides that prophecy is just a polite suggestion to commit murder. In this episode, the crew sets sail for home, immediately gets distracted by pork, insults a goddess, and proves that if Odysseus had access to a live Twitch chat, he probably would have died even faster. https://www.kickstarter.com/projects/badeye/forgotten-odysseys Show Notes This week on the RPGBOT.Podcast, we dive into Forgotten Odysseys, the creation of Adam Bradford, also known as BadEye Adam, and currently funding on Kickstarter. Adam joins the show to talk about building a brutal, mythic Greek journey home from the Trojan War using the bones of MÖRK BORG, then Josh Simons of Broken Door Entertainment takes the helm for a live play demo that immediately proves why sailors should fear gods, storms, wild animals, and shirtless leadership. Adam walks through the inspirations behind the game, from The Odyssey and Bronze Age Greek culture to Blood of Zeus, 300, Xena, and the gloriously doomed charm of MÖRK BORG hacks. The result is a sword-and-sandals survival game where the goal is simple: get home. The problem is Eris, goddess of strife and chaos, who believes you cheated death at Troy and would very much like to correct that oversight. The episode also explores the game's seafaring tests, deadly mishaps, journey map, mythic art direction, character classes, boons, curses, legendary items, and armor system. Then the actual play begins, and the party creates Dome, Demos, and Dephobos, three heroes whose collective survival strategy includes playing "Yankee Doodle Dandy" on a lyre, hunting boars in a storm, yelling at divine fog, and ultimately fulfilling a betrayal prophecy with alarming efficiency. If you like Greek mythology, doomed sailors, lethal rules-light games, gorgeous art-heavy books, and tabletop sessions where a boar fight becomes the emotional centerpiece of the evening, this one is for you. Key Takeaways Forgotten Odysseys is Adam Bradford's mythic Greek, MÖRK BORG-compatible game about soldiers trying to survive the journey home after the Trojan War. The game is currently on Kickstarter and is published in partnership with Broken Door Entertainment. Adam wrote, illustrated, laid out, and designed the game, giving it a strong personal visual identity inspired by Greek myth, comics, public domain art, and brutal sword-and-sandals drama. The central premise is not "become a hero." It is "get home before the gods, monsters, sea, dice, or your friends kill you." Eris replaces Poseidon as the primary divine antagonist, hunting the characters because they survived when fate said they should have died. The game keeps the deadly, strange, art-heavy spirit of MÖRK BORG while adding Greek myth flavor, seafaring rules, Bronze Age gear, legendary items, boons, curses, and a journey map. Seafaring tests let everyone contribute to survival, whether they are rowing, navigating, inspiring the crew, helming the ship, or playing music to keep the oars in rhythm. Character creation leans into randomness, misery, and personality, which is how the table ends up with Dome, Demos, and Dephobos, three names that sound like they were cursed before the dice even hit the table. The live play shows off the system's fast combat, player-facing rolls, armor tiers, and high stakes, mostly through the sacred Greek tradition of nearly dying to pigs. Demos learns that boars are dangerous, Dephobos learns that prophecy is inconvenient, and Dome learns that leadership is easier when nobody questions why someone was stabbed and thrown into shallow water. The episode is a strong showcase for the game's tone: mythic, deadly, beautiful, ridiculous, and always one bad roll away from becoming a cautionary tale. Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati
This week Tom & Zeus review the Dressed To Kill 50th Anniversary Super Deluxe Box Set Disc 2, Demos, Alternate Mixes And Outtakes by KISS! Dressed To Kill is the 3rd such box set after Destroyer 45th Anniversary Super Deluxe Box Set & the Creatures Of The Night 40th Anniversary Super Deluxe Box Set. The guys breakdown and discuss Disc 2 of the Box Set, which is listed as Demos, Alternate Mixes And Outtakes! It also includes a new track, a studio demo of a song which has never been released before, "Mistake!" So tune in to the #1 KISS podcast and enjoy the positivity! To Purchase KISS' Album “Dressed To Kill 50th Anniversary Super Deluxe Box Set” on Amazon Click Below: "Dressed To Kill 50th Anniversary Super Deluxe Box Set" To Purchase Shout It Out Loudcast's KISS Book “Raise Your Glasses: A Celebration Of 50 Years of KISS Songs By Celebrities, Musicians & Fans Please Click Below: Raise Your Glasses Book For all things Shout It Out Loudcast the #1 KISS Podcast check out our amazing website by clicking below: www.ShoutItOutLoudcast.com Interested in more Shout It Out Loudcast content? Care to help us out? Come join us on Patreon by clicking below: SIOL Patreon Get all your Shout It Out Loudcast Merchandise by clicking below: Shout It Out Loudcast Merch At Printify Shop At Our Amazon Store by clicking below: Shout It Out Loudcast Amazon Store Please Email us comments or suggestions by clicking below: ShoutItOutLoudcast@Gmail.com Please subscribe to us and give us a 5 Star (Child) review on the following places below: iTunes Podchaser Stitcher iHeart Radio Spotify Please follow us and like our social media pages clicking below: Twitter Facebook Page Facebook Group Page Shout It Out Loudcasters Instagram YouTube Proud Member of the Pantheon Podcast click below to see the website: Pantheon Podcast Network Learn more about your ad choices. Visit megaphone.fm/adchoices
Join us as we sit down with producer, songwriter, and worship pastor Josh Dunn for an inspiring conversation on the Worship Keys Podcast. Josh shares the story behind his vintage rescued Baldwin upright piano, his sound design secrets for getting that raw authentic tone, and an honest take on AI and Suno in worship music today. We talk creativity, authenticity, and what it means to stay true to your sound in 2026. Don't miss his thoughts on why true creativity can't be replaced by AI. Next episode, Josh breaks down what it really costs to produce a great demo from start to finish.Aerospace AudioJosh DunnSupport the showThanks for listening! Subscribe here to the podcast, as well as on YouTube and other social media platforms. If you have any questions or suggestions for who you want as a featured guest in the future or a topic you want to hear, email carson@theworshipkeys.com. New episodes release every Wednesday!
PBS 186: Web Metadata — the Search and OpenGraph HTML Headers MacVoices #26187: Road to Macstock - Allison Sheridan Show keyboard Shortcuts While Conducting Demos with KeyScreen Audiobook Audio (V3) Part 3: Mic Technique Is Processing Support the Show CCATP #837 — Why AI Agents Fill Adam Engst With Dread Transcript of NC_2026_06_28 Join the Conversation: allison@podfeet.com podfeet.com/slack Support the Show: Patreon Donation Apple Pay or Credit Card one-time donation PayPal one-time donation Podfeet Podcasts Mugs at Zazzle NosillaCast 20th Anniversary Shirts Referral Links: Setapp - 1 month free for you and me 15% off Carbon Copy Cloner Wispr Flow - 1 month free for you PETLIBRO - 30% off for you and me Parallels Toolbox - 3 months free for you and me Learn through MacSparky Field Guides - 15% off for you and me Backblaze - One free month for me and you Eufy - $40 for me if you spend $200. Sadly nothing in it for you. PIA VPN - One month added to Paid Accounts for both of us CleanShot X - Earns me $25%, sorry nothing in it for you but my gratitude
This month Andrew is sharing the band Sweetspot
In this episode, Ally sits down with Meredith Mills-Merritt, founder and CEO of The Original Southside, a premium ready-to-drink gin cocktail inspired by her mom's summer recipe that has grown into 20+ markets, landed on shelves at Whole Foods and Total Wine, and seen shipments grow more than 370% in its second year. Meredith brings a background in prestige beauty brand management that shaped everything about how she built Southside, from putting a full ingredient list on her cans (a rarity in alcohol) to investing in in-person demo and event marketing over digital spend. She opens up about navigating the alcohol industry's notoriously complex three-tier distribution system, how landing early partnerships with the Stanley Cup–winning Florida Panthers and LSU Athletics accelerated the brand's growth, and what she'd tell any aspiring founder sitting on an idea in their notes app right now. Key Takeaways:// 95% of the marketing budget goes to in-person, IRL events, and it's working. Demos, tastings, and events where consumers are already in a consumption mindset are where Southside wins the most efficiently. Her tip: book the 4–7pm demo slot at Whole Foods, not the 11am one — because alcohol shopping is a mindset, not just a product category. When people try it, they buy it. That's the whole strategy.// Take calculated risks on partnerships early, even when they feel too big. When the Florida Panthers and LSU Athletics came calling, Meredith said yes, not because she had the budget of a legacy brand, but because arenas and live events are exactly the consumption environments that drive trial at scale. Those early partnerships created case studies she now uses to unlock new distributors, retailers, and markets.// The alcohol industry has a transparency problem, and consumers deserve better. Alcohol is one of the only major consumer categories where ingredient labeling isn't legally required. Meredith discovered during her own production process that a proposed additive (sodium benzoate) could produce benzene when combined with vitamin C — a known carcinogen. That discovery delayed her launch by six months and eventually led her to co-found the Clean Alcohol Collective.// If you're already thinking about starting something, that's the sign. Meredith's advice for aspiring founders: if you're already turning the idea over in your mind, you probably won't be at peace until you try it. The messy middle between failure and exit is where the real growth happens — and even if it doesn't work out, you'll come out the other side with something you built for yourself.Connect with Meredith: InstagramLearn More: Website____Join the MHH Collective! The MHH Collective is a community for marketers and business owners to connect, ask real questions, and grow their careers together. Join for access to live Q&As with industry experts, a private Slack community, and ongoing resources: https://www.marketinghappyhr.com/mhh-collectiveSay hi! DM us on Instagram and let us know what content you want to hear on the show - We can't wait to hear from you! Please also consider rating the show and leaving a review, as that helps us tremendously as we move forward in this Marketing Happy Hour journey and create more content for all of you. Join the MHH Collective: Join nowGet the latest marketing trends, open jobs and MHH updates, straight to your inbox: Join our email list!Follow MHH on Social: Instagram | LinkedIn | TikTok | Facebook
As the United States approaches its 250th anniversary, what kind of country do we want to become?We speak with Taifa Butler, President of Demos, about the challenges facing American democracy and the need for a "Third Reconstruction." We discuss the connection between economic power and political power, the role of worker power in a healthy democracy, the enduring impact of racism and the racial wealth divide, and why America's democratic institutions are at a critical crossroads. Butler argues that the nation must move beyond incremental reforms and embrace a more expansive vision of citizenship, democracy, and shared prosperity.Support the show
feam stext nest and daysclosure di Follow us on twitter @DeadEnsigns Email your opinions/questions/stories to deadensigns@gmail.com
In episode 578 of 'Coffee with Butterscotch,' the brothers discuss whether Steam Next Fest is becoming a victim of its own success, as AI-generated slop and asset flips make it harder than ever for games to get noticed. They explore what Steam can realistically do about it, why the economics of publishing are shifting under everyone's feet, and what it actually takes to build the kind of studio track record that cuts through the noise when algorithms start failing you. Support How Many Dudes!Official Website: https://www.bscotch.net/games/how-many-dudesTrailer Teaser: https://www.youtube.com/watch?v=IgQM1SceEpISteam Wishlist: https://store.steampowered.com/app/3934270/How_Many_Dudes00:00 Cold Open00:30 Introduction and Welcome03:37 The Evolution of Demos on Steam06:28 The Impact of AI on Game Development10:28 The Rise of Asset Flips and Slop Games14:22 The Future of Game Discovery on Steam18:37 The Philosophy Behind Steam's Store Policies28:53 The Cost of Entry for Game Publishing34:54 The Impact of AI on Game Quality38:49 The Challenge of Game Discovery42:48 The Existential Threat to Steam47:54 Future of Game Publishing and AI Regulation50:38 Navigating AI Accusations in Game Development55:01 The Importance of Building a Studio Following01:00:03 Marketing Strategies for Indie Games01:05:07 The Role of AI in Game Development01:09:16 The Future of Game Discovery on SteamTo stay up to date with all of our buttery goodness subscribe to the podcast on Apple podcasts (apple.co/1LxNEnk) or wherever you get your audio goodness. If you want to get more involved in the Butterscotch community, hop into our DISCORD server at discord.gg/bscotch and say hello! Submit questions at https://www.bscotch.net/podcast, disclose all of your secrets to podcast@bscotch.net, and send letters, gifts, and tasty treats to https://bit.ly/bscotchmailbox. We also built Ludokit, a tool for managing store pages, promo art, localization, achievements, credits, fonts, change logs, and more. Check it out at https://ludokit.com!Finally, if you'd like to support the show and buy some coffee FOR Butterscotch, head over to https://moneygrab.bscotch.net. ★ Support this podcast ★
This week on 360GamerCast, Webby and Peebs dive into a stacked mix of new releases, demos, and big industry stories — from 007's latest outing to GTA 6 price leaks and a tragic loss in the Ubisoft family. Games We Played A busy gaming week with hands‑on impressions of: 007: First Light – Bond's back and we've got plenty to say Final Fantasy VII Remake – revisiting a modern classic Battlefield 6 – New game mode Echoes of Aincrad (Demo) – SAO‑inspired action with promise Hack 95 (Demo) Ball X Pit – chaotic arcade fun Cronos: New Dawn – sci‑fi survival with potential The Casting of Frank Stone – narrative horror from the DBD universe News & Discussion We break down a wild week in gaming news, including: Halo wrongfully stating that Playstation 5 users will require PS+ for split screen users causing Social media chaos. GTA 6 price leaks suggesting Rockstar might be pushing premium pricing harder than ever The tragic passing of Claude Guillemot, Ubisoft co‑founder Steam Controller reservations exploding in demand https://www.patreon.com/360gamercast https://discord.gg/CqDMSg9 https://www.facebook.com/groups/360gamercast/ https://twitter.com/Webby360G https://twitter.com/360GamerCast https://360gamercast.com/
One of the big news stories of this week is that a pre-order date for Grand Theft Auto 6 has been announced - just in case you were skeptical about this game being one of the biggest launches of anything ever. Speaking of launches, Xbox has launched another new round of studio closures which obviously sucks! On a more positive note, we've checked out a bunch of fun and creative new demos as part of Steam Next Fest, and Square's new action RPG The Adventures of Elliot: The Millennium Tales. This episode is brought to you by Distant Worlds, a celebration of music from Final Fantasy performed by the Melbourne Symphony Orchestra at Hamer Hall from July 23 - 25. Book now at mso.com.au Hosted on Acast. See acast.com/privacy for more information.
This Week on the Show: Ice-Breaker: What are some unconventional but recommended co-op experiences? (2:30) Impressions: Mina the Hollower (15:00) News: What in the world is going on at Microsoft / Xbox? (20:00) Ice-Breaker: Would any other 4Player staff move out of state? (0:00) Steam Next Fest Demo: Order of the Sinking Star (39:15) Steam Next Fest Demo: 1666: Amsterdam (55:00) Steam Next Fest Demo: Blood Dungeon (1:06:00) Steam Next Fest Demo: Truck-kun is Supporting Me from Another World?! (1:13:00) Steam Next Fest Demo: Virtue and a Sledgehammer (1:19:18) 4Player Minute (1:30:00) Link Dump: Check out our 2025 Year in Review (Top 10 Videos) Our Community-Wide Year in Review List for 2025 is Also Available Support the Show / Ask a Question Pledge on Patreon ($3 Tier) Subscribe on Twitch ($5)
It's Next Fest week and we've been going demo wild! (Though yes, we know there is news... Everything is toottttaaalllyyy fine ((Not really))) ★ LINKS ★► Get Exclusive Perks on our Patreon: https://patreon.com/carpoolgaming► Join our amazing Discord community: https://discord.gg/eBKUyABg8U► Get your Carpool Gaming merch: https://carpoolgaming.com/► Check us out on Twitch: https://twitch.tv/carpoolgaminglive► Subscribe on YouTube: https://youtube.com/carpoolgaming► Follow on Bluesky: https://bsky.app/profile/carpoolgaming.comThanks so much to everyone who supports us on https://patreon.com/carpoolgaming★ ULTIMATE PRODUCERS ★Brendan Myers AKA The_WinterGamerJohnathan Brown: https://linktr.ee/pme.jibJonas YoungTony BakerTrucker Sloth★ PLATINUM PRODUCERS ★Brian Reese★ GOLD MEMBERS ★Adam KAwesomeDave1337BennyBrad MooreCecily CarrozzaDan & LumaDannohhEmily O'KelleyJon32LauraLigerWoods330Mr GigglesPatrice MallettePeje EPSteven KellerTechMikeTim Paullin
Welcome to The Testing Room where three of the gaming industry's best consultants (to never consult on a game) get together to talk about the games this week. This week Alex goes through some Next Fest Demos, Christian talks about Yasmine gameplay trailer, Preston plays Star Fox on SNES (NSO), and more! Don't forget to send comments and questions to testingroompod@gmail.com or comment down below. Also don't forget to follow us on Twitch @ twitch.tv/testingroomlive and listen to us on the go wherever you get your podcasts!#gaming #videogames #videogame #bookclub #videogamebookclub #podcast #retrogaming #games #sega #playstation #xbox #nintendo #anime #discussion #critique #fps #jrpg #actiongames #platformer #fightinggames #steamnextfest #pragmata
Ultimate Fighters Episode 13 - Ultimate Fighters: Donald Trump, Dana White and UFC's Road to the White HouseToday's episode will cover the History and Background of the UFC, UFC Freedom 250, the results, the Demos, the viewership, Donald Trump, Dana White, up to date News, the White House, and so much more!Two unbreakable fighters. One unbreakable bond. A road that led straight to the White House.In the shadows of mainstream headlines, a powerful alliance has shaped American culture and politics for decades. Donald Trump—real estate tycoon, reality TV star, twice-elected President—found a kindred spirit in Dana White, the man who rescued the Ultimate Fighting Championship from near-collapse and built it into a global empire. Their friendship began in 2001 when Trump offered his Atlantic City casino as a lifeline for the fledgling UFC, hosting events no one else would touch.What followed was a saga of mutual loyalty and shared triumphs: White's steadfast support through Trump's campaigns and controversies, Trump's ringside presence electrifying crowds at UFC events, and the raw energy of the Octagon fueling a political movement. From early casino nights to White House visits, Republican National Convention endorsements, and landmark moments tying mixed martial arts to American power, this is the untold story.Ultimate Fighters: Donald Trump, Dana White and UFC's Road to the White House - https://www.amazon.com/Ultimate-Fighters-Donald-Trump-White-ebook/dp/B0GT9WWYDR/ref=sr_1_1?crid=25O8D85ZAHJIM&dib=eyJ2IjoiMSJ9.j_rahjBUgwUaZv0a4ffk-30tGZqsYe8rq2J2NeGY-PkmoUb_vl8UUjAZomrTsPK6D1QV78V-fXYrJ9Y8w0e0zT5SUe5aD4Cmuo1xillF3y8u0f9wjN3iKT5CVkB5GsZqpiMTAvkNkgagtezZ_oPujgHf62gWz5CivDCV8Cs4NmykZWJK5KpwoXl1us19mF2XOFY8TGQB1Gk-3dqaQwouMQpwXR3_CsbrYnUGgAjux0I.-ymjHyKRVnbz0xw6JwyAu1N0SDdw4QYxYw6sQzNypYI&dib_tag=se&keywords=Ultimate+Fighters&qid=1774229356&sprefix=%2Caps%2C1399&sr=8-1
What if giving customers more value is exactly what's making them leave? Kellie Snyder, Chief Customer Officer at LinkSquares, joins Josh Schachter after a two-year replatform to fully agentic contract management. She unpacks how AI reshaped their customer 360, the retention mistake hiding in their onboarding, why digital-first went too far, and how to bring human engagement back without losing scale. A candid look at retention, migration, and rebuilding human engagement in the AI era.Josh is writing a book on building customer relationships. Follow his journey and insights at www.joshschachter.com---What You'll Learn- How LinkSquares went fully agentic in contract management- Building a real customer 360- Why "show them everything" was killing retention- Migrating legacy customers without scaring them off- AI enablement when teams sit at different skill levels- Right-sizing human engagement after over-rotating on digital-first- Tying value realization to pre-sales business outcomes---Want the playbook, not just the conversation? Subscribe for deep-dive, actionable breakdowns from every episode at unchurned.substack.com.---Timestamps0:00 - Preview and Meet Kellie Snyder1:50 - What LinkSquares does, new agentic platform3:10 - Kelly's remit as the CCO at LinkSquares3:50 - Rob's story and the golf scholarship6:06 - AI transformation inside the post-sales team7:39 - Building the customer 3609:09 - How Kellie personally uses Claude10:45 - Sharing skills and wins across CSMs11:30 - Biggest speed bump going AI-native13:48 - The two-year replatform & impact on post-sales18:29 - Migration & killing one-size-fits-all onboarding20:27 - Investing in customer education22:33 - Quantifying value realization23:23 - What's taken longer than expected25:40 - Success one year out26:52 - A question for other CCOs---Where to Find the GuestKellie Snyder: https://www.linkedin.com/in/kellieasnyder/ ---Where to Find Josh:LinkedIn: https://www.linkedin.com/in/jschachter/Unchurned Substack: https://unchurned.substack.com/
Is your tech team reluctant to show you daily progress? It's because they're scared of failure! Listen to this episode of Troubleshooting Agile to learn how leaders can use emotional intelligence and universal demoing to break down the "status report" paranoia and unlock rapid delivery, with your hosts Squirrel and Jeffrey. -------------------------------------------------- You'll find free videos and practice material, plus our book Agile Conversations, at agileconversations.com And we'd love to hear any thoughts, ideas, or feedback you have about the show: email us at info@agileconversations.com -------------------------------------------------- About Your Hosts Douglas Squirrel and Jeffrey Fredrick joined forces at TIM Group in 2013, where they studied and practised the art of management through difficult conversations. Over a decade later, they remain united in their passion for growing profitable organisations through better communication. Squirrel is an advisor, author, keynote speaker, coach, and consultant, and he's helped over 300 companies of all sizes make huge, profitable improvements in their culture, skills, and processes. You can find out more about his work here: douglassquirrel.com/index.html Jeffrey is Vice President of Engineering at ION Analytics, Organiser at CITCON, the Continuous Integration and Testing Conference, and is an accomplished author and speaker. You can connect with him here: www.linkedin.com/in/jfredrick/
The new smart glasses from Snap look like an impressive bit of technology, and some of the most advanced glasses we've seen. But Nilay and David start the show by wondering, does that matter if nobody wants to put them on? What would it take to overcome the ear-smashing? After that, they discuss the reasons for (and problems awaiting) Fox's acquisition of Roku, the latest updates from Matter, Facebook's wild AI Mode, and more. Further reading: Snap is finally about to ship AR glasses — and they cost a fortune Snap Unveils Specs Smart Glasses at AWE 2026 From CNBC: Snap CEO Evan Spiegel on new AR Specs: New opportunity to bring computing to the world around you Qualcomm's latest chip hints that more powerful smart glasses could be on the way The Microsoft Surface Laptop 8 and Surface Pro 12 now come with Snapdragon X2 chips Commodore's Callback 8020 is a retro flip phone with modern ideals Google's first smart speaker in six years arrives next week Fox is buying Roku Fox wants to take over your TV — and the tech inside it Netflix was reportedly worried about antitrust scrutiny if it bought Roku instead of Fox. Fox is taking over Roku City How Stephen Colbert's Replacement Is Helping Tank the Rest of CBS Will Matter finally be able to do what it should have always done? | The Verge Thread Direct looks to solve Matter's biggest setup headache | The Verge Half a billion people are using Threads every month Facebook's new AI Mode search gets its info from public posts Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:01:00 Intro 00:02:00 Snap Specs revealed 00:06:00 Snap software advantage 00:08:00 Price comfort reality check 00:10:00 True AR breakthrough 00:15:00 Demos vs daily life 00:21:00 Privacy and moderation risks 00:27:00 Fox buys Roku why 00:29:00 Distribution is power 00:33:00 Roku neutrality ends 00:37:00 Roku Lock-In Debate 00:41:00 Piracy Exit Ramp 00:42:00 Tubi Meets Roku Channel 00:46:00 Go90 Scale Rankings 00:52:00 Distribution Matters CBS 00:57:00 Hype Desk Movies 01:03:00 Knicks Laptop Festival 01:06:00 Brendan Carr Is A Dummy 01:10:00 Radio Ownership Waivers 01:12:00 Threads User Numbers 01:16:00 Meta AI Mode Risks 01:19:00 Matter Joint Fabric 01:28:00 Wrap Up and Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices
https://www.patreon.com/minnmax - Unlock a benefit and directly support independent games media MinnMax's Ben Hanson, Jacob Geller, Kyle Hilliard, and special guest Bloomberg's Jason Schreier unpack the chaotic news out of Xbox that Double Fine, Ninja Theory, Compulsion Games, and more studios are in a state of flux and might be shut down if they can't find another buyer before July. Then things take a turn for the positive as we unpack Square-Enix's new HD-2D Team Asano ARPG The Adventures of Elliot: The Millenium Tales. Sarah Podzorski and Haley MacLean then join the show to talk about their big trip to Montreal for Dead by Daylight's 10th anniversary, Jacob raves about Project Wingman and Ace Combat, The Sims experts weigh in on Paralives, and we share some of our favorite Steam Next Fest demos. Then we answer questions submitted on Patreon by the community and award the iam8bit question of the week! You can win a prize and help make the show better by supporting us on Patreon and submitting a question! https://www.patreon.com/minnmax Watch and share the video version of this podcast here - https://youtu.be/lOL3vaHTU9U Check out Jason Schreier's new YouTube channel - https://www.youtube.com/@jason-schreier Listen to Jason Schreier's Triple Click podcast - https://maximumfun.org/podcasts/triple-click/ Learn more about the BDS Xbox Boycott here - https://bdsmovement.net/news/boycott-microsofts-xbox Learn more about MinnMax's Chicago meetup here - https://www.patreon.com/minnmax/posts/chicago-meetup-161251182 Chicago MinnMax Community Meetup Off Color Brewing Taproom (The Mousetrap) 1460 N Kingsbury St, Chicago, IL 60642 Tuesday, July 14th from 8-10pm RSVP Here - https://forms.gle/59Gd5dsbYHxaCSb16 Help support MinnMax's supporters! https://www.iam8bit.com - 10% off with Promo Code: RETURNOFTHESIXTH https://discoverpoco.com - Visit Pocahontas County, Iowa To jump to a particular discussion, check out the timestamps below... 00:00:00 - Intro 00:00:43 - Jason Schreier's new YouTube channel 00:03:24 - Xbox looming studio closures 00:31:25 - The Adventures of Elliot: The Millenium Tales 00:41:21 - Visit Pocahontas County, Iowa 00:42:42 - Dead by Daylight's 10th anniversary 00:55:27 - Project Wingman and Ace Combat 01:04:43 - Paralives 01:15:07 - Steam Next Fest 01:16:00 - Blood Dungeon 01:16:27 - Sprawl Zero 01:19:00 - Over The Hill 01:21:53 - Sensory Overload 01:24:27 - Thanking iam8bit - https://www.iam8bit.com/ 01:25:41 - Community questions 02:15:12 - Get A Load Of This Sarah's GALOT - https://www.dust2.us/news/74810/toad-ally-viral-jab-jabich-receives-hltv-profile Jacob's GALOT - https://youtu.be/Is8N7B9b0GQ?si=TYS0h8Fs58l0kNKn Hanson's GALOT - https://pelacase.com/blogs/news/biodegradable-packing-peanuts?srsltid=AfmBOoqLnh_g2mPor_G548pPv-8i1SMaEupocTd3BM0-pHL4g9O3Fe_9 Haleys GALOT - https://www.facebook.com/reel/1540487114278793 Community GALOT - https://bsky.app/profile/mariobrothblog.bsky.social/post/3mob3l2xdoc24 Disclosure - Games discussed on MinnMax content are most often provided for free by the publisher or developer. Support us on Patreon - https://www.patreon.com/minnmax Support MinnMax directly on YouTube - https://youtube.com/minnmax/join Follow us on Twitch - https://www.twitch.tv/minnmaxshow Subscribe to our YouTube channel - https://www.youtube.com/minnmax Subscribe to our solo stream channel - https://www.youtube.com/@minnmaxstreamarchives Buy MinnMax merch here - https://minnmax.com/merch Follow us on Bluesky - https://bsky.app/profile/minnmax.com Go behind the scenes on Instagram - https://www.instagram.com/minnmaxshow This podcast is powered by Pinecast.
In Episode 11 of Season 4, the Slow Burn Cast Pat (NintenTalk), Min (Min's Meadow), and Payton (Payton'sCorner) discuss several topics including their thoughts on the latest Nintendo Direct, What makes a GOOD and BAD video game trailer, Cozy Game news, Listener emails + MORE!!Join the OFFICIAL Slow Burn Discord: https://discord.gg/6wxYg3S7BMSlow Burn Podcast on Youtube: https://www.youtube.com/@SlowBurnCast
Geoff and Chris talk about a couple of older (Zelda-ish) games, some demos, and give the Nabeshin Hype Meter treatment to the Nintendo Direct that happened last week. Enjoy!
This is an AI-generated episode of The Storage Marketplace Podcast, created from the first-ever Storage Meetup Show & Tell: AI & Automations, recorded live on June 5, 2026. Unlike a traditional webinar full of slides and talking heads, this event featured live demonstrations of AI tools, automations, and workflows that self-storage operators, managers, and vendors are using right now. In this episode, we explore: • AI-powered customer service and communication tools • Marketing automations designed to generate more leads and rentals • Operational workflows that reduce manual work and increase efficiency • Revenue management and optimization opportunities powered by AI • Real-world examples of automation being implemented inside self-storage businesses today • The biggest themes and takeaways from the industry's first AI-focused Show & Tell event The biggest takeaway:
What happens when God doesn't give you what you expected? Discover how God's greatest purposes are often hidden in the plans we never would have chosen. Join us this Sunday at our 8AM, 10AM, or 12PM services and experience a life-changing word that will challenge your perspective and strengthen your faith. Next week, celebrate Father's Day with us—invite your dad and the special men in your life for a powerful service you won't want to miss!
Episode #303! This time we will be talking about Digimon Beatbreak episode 35, Digimon Story: Time Stranger demo for Switch 2 & 1, card previews, & more! Plus we answer your questions! Show notes can be found at http://podcast.withthewill.net/post/305/ News and Discussion can be found at https://www.withthewill.net The WtW Patreon can be found at https://www.patreon.com/withthewill Join us on Discord at https://discord.gg/VvWUfHq Questions for future episodes can be sent to podcast@withthewill.net
The AI Reality Gap is becoming one of the most important concepts for developers, founders, and business leaders to understand. Every day, social media is filled with examples of applications being built in minutes, products launched overnight, and entire workflows automated through AI tools. What rarely gets discussed is what happens after the demo. A working prototype is not the same thing as a production-ready system. The moment an application encounters real users, security requirements, scaling concerns, integrations, and operational demands, the true complexity begins to emerge. Building something is easier than operating it reliably. About Jason Sherman Jason Sherman is a serial entrepreneur, filmmaker, author, and technology founder best known for building practical solutions that bridge the gap between emerging technology and real-world business problems. He is the founder and CEO of Vengo AI and has launched multiple technology platforms throughout his entrepreneurial career. Jason is known for his direct, hands-on approach to innovation, focusing on execution, product development, AI implementation, and helping businesses leverage technology without losing sight of operational realities. His perspective combines startup experience, software development expertise, product strategy, and a strong belief that technology should solve actual business problems rather than chase trends. Links: Facebook, Twitter / X, YouTube, LinkedIn, Website Understanding the AI Reality Gap The AI Reality Gap exists between what AI can generate and what organizations actually need. A generated application may look complete on the surface. It can create forms, databases, dashboards, and workflows. Yet underneath that polished interface are questions that AI alone cannot currently solve consistently: Is the infrastructure secure? Are APIs protected? Is data handled correctly? Can the system scale under load? Is deployment repeatable and reliable? These questions have always existed in software development. AI simply exposes them faster. Why AI Is Revealing Existing Problems Many organizations assume AI is creating new challenges. In reality, AI is exposing old ones. Businesses have always struggled with: Poor documentation Weak processes Inconsistent requirements Fragile infrastructure Knowledge silos AI accelerates development so rapidly that these weaknesses appear sooner than before. Faster development magnifies existing organizational problems. AI Is a Tool, Not Magic One of the strongest themes from the discussion was viewing AI as a tool rather than a replacement for expertise. Electricity transformed industries. Automobiles transformed transportation. The internet transformed communication. AI belongs in the same category. The value comes from how people use the technology, not from the technology itself. Organizations that treat AI as a productivity tool tend to achieve better results than organizations expecting autonomous solutions. The Human Responsibility Layer The excitement around AI often creates the impression that human oversight is becoming less important. The opposite may be true. As AI handles more implementation work, humans become increasingly responsible for: Architecture Governance Validation Security Business alignment The challenge is shifting from creating code to directing systems. The future developer may spend less time writing code and more time validating outcomes. Building Beyond the Demo Successful AI adoption requires organizations to think beyond proof-of-concept projects. Questions leaders should ask include: How will this be maintained? Who owns the deployment process? How will security be managed? What happens when requirements change? These concerns may seem less exciting than AI-generated applications, but they determine whether a solution survives in production. Conclusion The AI Reality Gap isn't a flaw in AI. It's a reminder that software success has always depended on more than code generation. Organizations that understand infrastructure, security, deployment, and human oversight will benefit most from AI's acceleration. Stay Connected: Join the Developreneur Community
LAUDES LUNES DE LA X SEMANA DE ORDINARIO(Oración de la mañana) - II semana del Salterio*Link de apoyo al canal al final del escrito*INVOCACIÓN INICIALV. Señor abre mis labiosR. Y mi boca proclamará tu alabanzaINVITATORIOAnt. Demos vitores al Señor, aclamándolo con cantos.SALMODIASalmo 41 - Ant. ¿Cuándo entrare a ver el rostro de Dios?.Cántico - Ant. Muéstranos, Señor, tu gloria y tu compasión.Salmo 18 A - Ant. Bendito eres, Señor, en la bóveda del cielo.CÁNTICO EVANGÉLICOAnt. Bendito sea el Señor, Dios de Israel, porque ha visitado y redimido a su pueblo.Cántico de Zacarías. EL MESÍAS Y SU PRECURSOR Lc 1, 68-79Bendito sea el Señor, Dios de Israel,porque ha visitado y redimido a su pueblo.suscitándonos una fuerza de salvaciónen la casa de David, su siervo,según lo había predicho desde antiguopor boca de sus santos profetas:Es la salvación que nos libra de nuestros enemigosy de la mano de todos los que nos odian;ha realizado así la misericordia que tuvo con nuestros padres,recordando su santa alianzay el juramento que juró a nuestro padre Abraham.Para concedernos que, libres de temor,arrancados de la mano de los enemigos,le sirvamos con santidad y justicia,en su presencia, todos nuestros días.Y a ti, niño, te llamarán Profeta del Altísimo,porque irás delante del Señora preparar sus caminos,anunciando a su pueblo la salvación,el perdón de sus pecados.Por la entrañable misericordia de nuestro Dios,nos visitará el sol que nace de lo alto,para iluminar a los que viven en tinieblay en sombra de muerte,para guiar nuestros pasospor el camino de la paz.Gloria al Padre, y al Hijo, y al Espíritu Santo.Como era en el principio, ahora y siempre, por los siglos de los siglos. Amén.PRECES“Consérvanos, Señor, en tu servicio.”ConclusionV. El Señor nos bendiga, nos guarde de todo mal y nos lleve a la vida eterna.R. Amén.(349)
From Brexit negotiations and the Cuban Missile Crisis to elections, auctions and everyday decision-making, game theory can offer powerful insights into how we navigate a world shaped by competing interests, cooperation and strategic choices. In this episode, Professor Michael Wooldridge joins Carl Miller to explore the surprising life lessons hidden within one of mathematics' most influential fields. Drawing on ideas from his new book Life Lessons from Game Theory: The Art of Thinking Strategically in a Complex World, Wooldridge explains how game theory can help us better understand conflict, human behaviour and truth. Professor Michael Wooldridge the Ashall Professor of the Foundations of Artificial Intelligence in the Department of Computer Science at the University of Oxford, and a Senior Research Fellow at Hertford College. Carl Miller is an author, speaker and researcher at Demos, a think tank based in London, where he co-founded the Centre for the Analysis of Social Media in 2012. --- If you'd like to become a Member and get access to all our full conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events ... Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. https://www.intelligencesquared.com/newsletter-signup/ Learn more about your ad choices. Visit podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices
#931 Ready to discover how interactive product demos are transforming sales, onboarding, and training? In this episode, host Kirsten Tyrrel sits down with Joseph Lee, founder of Supademo, to explore how his platform helps companies replace clunky screen recordings and outdated videos with self-guided, clickable demos. Joseph shares the journey of scratching his own entrepreneurial itch, the gap he saw in the marketplace, and why showing — not telling — is the future of product communication. From SaaS to traditional businesses, learn how Super Demo is saving time, cutting costs, and helping over 100,000 companies create engaging customer experiences! (Original Air Date - 10/1/25) What we discuss with Joseph: + Origin of Supademo + Pain points of screen recordings + Benefits of interactive demos + Sales use cases + Onboarding and training impact + Cost and time savings + Personalizing product demos + Innovative demo features + Analytics and engagement tracking + Lessons from entrepreneurship journey Thank you, Joseph! Check out Supademo at Supademo.com. Follow Joseph on LinkedIn. Watch the video podcast of this episode! To get access to our FREE Business Training course go to MillionaireUniversity.com/training. To get exclusive offers mentioned in this episode and to support the show, visit millionaireuniversity.com/sponsors. Learn more about your ad choices. Visit megaphone.fm/adchoices
Episode Chapter Summaries Chapter 1: The Rochester Connection & The Johnny Fever Dream (00:00 – 03:51) Anne introduces her longtime friend Tim Powers. They bond over their shared Rochester, NY, background, noting that growing up there fosters a natural sense of grit, humor, and raw honesty. Tim shares his origin story, starting as a kid with a voice that dropped way too early in 1978. Growing up in a massive, hilarious family where you had to be funny just to get noticed, Tim fell in love with radio icons and comedy legends, dreaming of becoming the next Johnny Fever. Chapter 2: The "Clark Kent" Years & Transition to the Improv Stage (03:52 – 08:34) Tim discusses his early years in radio, cueing up vinyl records, learning to think on his feet, and mastering spontaneous communication. However, minimum-wage radio couldn't pay the bills, leading to decades of "Clark Kent" day jobs. In his 30s, a friend dragged him to an improv theater tryout. Despite not being a traditional theater kid, Tim discovered that the improv stage was exactly where he learned structural acting, performance pacing, and the ultimate art of letting go. Chapter 3: The Philosophy of "Yes, And" in Voiceover (08:35 – 12:40) Tim shares his journey moving from his hometown to Los Angeles, training with iconic schools like The Groundlings and Upright Citizens Brigade, and eventually transitioning back behind the microphone under the mentorship of the late Lori Tritel and animation legend Michael Bell. Anne and Tim unpack the zen philosophy of "Yes, And." They discuss how voice actors spin too many mental plates trying to be perfect, when their only job is to accept the information given to them by the copy and boldly add their own life experiences to it. Chapter 4: Making Bold Choices vs. The Robotic Read (12:41 – 19:28) Anne and Tim challenge the idea of trying to read the casting director's mind. Tim points out that in an industry overflowing with talented talent, the only thing that separates you from a room full of people matching your exact technical specifications is your unique life experience. They look at how improv empowers talent to trust their gut and make fast, definitive character choices rather than hunting for a safe, sterile melody. Chapter 5: The "Dude" Knowledge & Grounding Corporate Narration (19:29 – 23:48) The conversation gets tactical as Anne and Tim explain the power of improvising your lead-ins. Tim demonstrates how a simple lead-in word like "dude" acts as the tip of a massive, subtextual iceberg. They argue that this work isn't just for wacky characters or high-energy commercials; it is also mandatory for all genres, including corporate narration and e-learning. To compete with cheap, perfect AI bots, human actors must bring a developed backstory, a natural breathing arc, and authentic physical transitions to the text. Chapter 6: The Truth About Demo Production & Acting Accountability (23:49 – 33:32) Anne and Tim have a candid, hard conversation about the current state of industry coaching. They address the hard truth that voiceover is a professional acting discipline that cannot be mastered in four to eight short weeks. They discuss their shared responsibility as demo producers, explaining why they refuse to cash a student's check for a demo if that student isn't consistently audition-ready. Tim shares a classic Hollywood story about the legendary "$500 demo trucks" parked outside major studios and warns why decision-makers spot those corner-cutting shortcuts instantly. Chapter 7: Garbage Plates, White Hots, and the Drop-In (33:33 – End) Tim details how talent can train with him via his zero-barrier-to-entry weekly drop-in Zoom workshop, Timprov, and his regular coaching site. The episode wraps up with a hilarious trip down memory lane as Anne and Tim talk classic Rochester culinary staples—including the legendary "garbage plate" hangover cure, Wegmans grocery stores, and Zweigel's white hots—before locking in plans for a future collaborative live-streaming workshop episode. Top 10 Boss Takeaways Acting is reacting: Real conversations are never premeditated. Every single script you read requires you to look at the words as an immediate response to an event that just happened. Embrace the "Yes, And" mindset: Stop fighting the copy or over-analyzing the client's intent. Accept the scenario given to you by the writer, agree with it wholeheartedly, and add your specific central nervous system to it. Natural beats perfect: If voiceover were solely about flawless technical precision, one person would hold all the work. Auditions book because of raw human imperfection and compelling storytelling. Instinct over mechanics: If you are listening to the sound of your own voice or focusing on your vocal melody while recording, you are completely out of the scene. Ditch the "Voiceover Artist" label: Tim reminds us that artists make sandwiches at Subway. You are an actor who uses your voice. Own that title, and do the internal script analysis required of real actors. Master the customized lead-in: Never launch directly into the first line of text dry. Build a fully formed, improvised phrase right before the first word to establish a genuine emotional point of view. Develop the "Dude Knowledge": A single lead-in word can serve as shorthand for a massive, unwritten backstory. Is your subtext "Dude, you're about to get fired" or "Dude, I've got the coolest secret to tell you"? Know the difference before you pull context into the microphone. AI can read—humans must connect: Perfect, pretty, and cheap reads can be generated by algorithms all day long. The only defense against automation is your messy, un-replicable life experience. Demos are a reflection of audition readiness: A professional demo is designed to show a casting director what you can deliver on the fly. If you aren't ready to book an elite audition on your own, you are not ready to cut a demo. Find coaches who hold you accountable: Avoid any production factories that promise stardom in record time. Work with industry thought leaders who aren't afraid to give you the hard, necessary truths about your current performance level.
Envíame un mensajeExiste mucha confusión en torno al Espíritu Santo. He aquí un catecismo básico sobre el Espíritu Santo: tres acciones, tres gracias, tres enemigos, tres fiestas y tres oraciones. El Espíritu Santo ilumina la mente, fortalece la voluntad y enciende el corazón. Si un católico no practica su fe, se debilita. Demos un paso de fe y vivamos esta fiesta (y octava) de Pentecostés como verdaderos católicos.Peregrinación a España y PortugalDel 9 al 21 de noviembre de 2026, te invitamos a una profunda peregrinación a España y Portugal.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showYouTubeFacebookTelegramInstagramTik TokTwitter
The new AIEWF website is live! CFPs close in 2 days and we will run our first New Engineer Orientation this weekend, get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!One of the central tensions in the agents industry is that even while there are major decacorn agent labs like Sierra, Decagon, Notion and Cursor being built up, it is also true that it has never been easier to DIY agents, with a plethora of agent frameworks like LangGraph and Pydantic and Flue, and managed agents from Anthropic and Gemini and Amazon. There has been a wave of companies building their own background agents from Shopify to Stripe to Paradigm to Razorpay, and even Cognition's friends Ramp have built their own coding agent with other friend Modal.You'd think Cognition might feel a bit threatened, but they're not - even after all this, they were way oversubscribed for the $1B Series D they just announced:Walden Yan, coiner of context engineering and Chief Product Officer/Cofounder of Cognition, invited OpenInspect's Cole Murray to talk about why the Devin is in the Details.Full conversation live on the pod today: In retrospect, async agents were the most AGI pilled bet you could make in 2024 - the models weren't good enough yet to vibecode, and people didn't trust AI enough to let it rip, nobody (including early Cognition) was sure about the form factors. Now it is obvious:* The first wave of AI coding tools made the developer faster but remain heavily in the loop. Copilor and Cursor's tab autocomplete are prime examples However, the workflow was still heavily centered around and bottlenecked by the developer's local workflow: a developer in an IDE, watching the model, accepting or rejecting changes, and pushing code one interaction at a time.* The second wave was local agents: Claude Code, Windsurf, Cursor's agents pane: first one and increasingly many terminals all running concurrently.* The current Age of Async Agents points to a different future focused more on agent orchestration which drives end-to-end development.According to previous guest Steve Yegge, there are finer-grained 8 levels to agent adoption, but we have collapsed it into three.As Cursor's Michael Truell put it in The third era of AI software development:Cursor is no longer primarily about writing code. It is about helping developers build the factory that creates their software. This factory is made up of fleets of agents that they interact with as teammates: providing initial direction, equipping them with the tools to work independently, and reviewing their work.The agent should not sit solely inside the developer's flow. It should be setup to work in the background so that you can give it a task, a repo, a machine, a shell, a browser, tests, memory, and review loops to go do the work somewhere else.In less than a year, the sentiment has shifted from avoiding multi-agent systems:to suggesting approaches that actually work:From coining “context engineering” to building the infrastructure behind Devin's 7x PR growth and jump from 16% to 80% of commits across Cognition repos, Walden Yan has had a front-row seat to the background-agent shift. In this episode, Cognition co-founder and CPO Walden Yan joins swyx alongside Cole Murray, creator of OpenInspect, to unpack why everyone is building their own Devin, what changed after the December 2025 model inflection, and why “spec to pull request” is now becoming a real production workflow.We go deep on the architecture of background agents: harness-in-the-box vs out-of-the-box, why Devin separates the “brain” from the machine, why repo setup is still one of the hardest problems, why Docker is not always enough, and how full VMs, snapshots, scoped secrets, GitHub bots, Slack integrations, and video-based testing all fit together. Walden and Cole also dig into memory, MCP limitations, multi-agent orchestration, AI code review, SRE auto-triage, PMs shipping code from Slack, Windsurf 2.0, hybrid frontier/sub-frontier systems, and the real failure mode of uncontrolled vibe coding: your codebase regressing to your worst engineer.And as agents eat software… and software eats the world… you can draw the conclusion on what is next:We discuss:* Why the engineering world is waking up to background agents and cloud agents* The December 2025 model inflection that made spec-to-PR workflows practical* Devin's 7x merged PR growth and rise from 16% to 80% of commits* Why Cole built OpenInspect as an open-source background-agent system* The economics of $20/seat agent products and why monetization is tricky* What Cognition actually sells beyond Devin: infra, onboarding, integrations, and adoption* Harness in the box vs out of the box, and why architecture matters* Why Devin separates the brain from the machine for security and permissions* Repo setup, scoped secrets, Docker Compose, and agent-ready dev environments* Why full VMs matter when agents need to run real applications and test them* Android, macOS, Windows, nested virtualization, and machine-specific agent work* Why testing is much harder than “computer use”* Screenshots, video verification, and the “I know it works” merge moment* GitHub UX, Devin Review, AI reviewers, and agents responding to PR comments* Why MCP alone is not enough for first-class Slack and enterprise integrations* Memory, Knowledge, skills, Claude.md, and why retrieval is still unsolved* Devin's auto-generated memories and the challenge of memory pruning* Always-on agents as permanent PMs for issues, tickets, and product areas* Sub-agents, meta-Devin management, and what multi-agent systems actually add* Why pure auto-merge vibe coding breaks down after about two weeks* AI code smells, lint rules, reward hacking, and Semgrep for agent-written code* GitAI, inline context, and preserving the “why” behind code changes* Local testing, mock servers, older codebases, and preparing companies for agents* Windsurf 2.0 and the handoff between local foreground agents and cloud background agents* SRE auto-triage, support workflows, and agents as first responders* PMs, marketing, and non-engineers creating pull requests from Slack* AI agent budgets, $1k-$5k per engineer spend, and hybrid frontier/sub-frontier systems* The rise of autonomous coding factories and who Cognition is hiringWalden Yan* X: https://x.com/walden_yan* LinkedIn: https://www.linkedin.com/in/waldenyan/Cole Murray* X: https://x.com/_colemurray* LinkedIn: https://www.linkedin.com/in/colemurray/* OpenInspect / Background Agents: https://github.com/ColeMurray/background-agentsTimestamps00:00:00 Introduction00:00:43 Why Everyone Is Building Their Own Devin00:01:57 Devin's 2025 Ramp: 7x PR Growth and 80% of Commits00:03:49 OpenInspect and the Rise of Open-Source Background Agents00:07:59 What Cognition Actually Sells Beyond Devin00:09:56 Background Agent Architecture: Harness In vs Out of the Box00:12:08 Separating the Brain from the Machine00:14:07 Repo Setup, Secrets, Docker, and Full VMs00:19:13 Why Testing Is Harder Than Computer Use00:22:40 Video Verification and the “I Know It Works” Merge Moment00:23:19 GitHub UX, Devin Review, and AI Code Review00:25:42 MCP, Slack, and Enterprise Agent Integrations00:28:59 Memory, Knowledge, and Always-On Agents00:36:16 Sub-Agents, Multi-Agent Orchestration, and Meta-Devin00:43:55 Vibe Coding, Auto-Merge, and Codebase Decay00:48:38 Agent Infra, VPCs, Cloud Providers, and Fast VM Restore00:52:25 AI Code Smells, Reward Hacking, and Code Review Systems00:56:10 Making Codebases Agent-Ready00:58:30 Windsurf 2.0 and the Local-to-Cloud Agent Handoff01:01:15 SRE Auto-Triage, PMs Shipping Code, and Agent Use Cases01:04:32 Agent Budgets, Hybrid Models, and Autonomous Coding Factories01:06:51 Hiring at Cognition and OpenInspect Consulting01:07:45 OutroTranscriptIntroduction: Walden Yan, Cole Murray, and Context EngineeringSwyx [00:00:00]: All right, we're in the studio with Walden Yan, co-founder of Cognition, CPO.Walden [00:00:08]: Happy to be here.Swyx [00:00:09]: Which is a cool title. And coiner of context engineering.Walden [00:00:15]: Although I think there are many people who'd used the terms in various ways beforehand, but I did find that people, both internally and externally, enjoyed the upgrade from prompt engineering or model wrapping into maybe a more thoughtful way to build agents.Swyx [00:00:33]: For those who haven't caught up on that, I have on screen the Don't Build Multi-Agents post, which you should go read on and we might refer to, and Cole Murray, who created OpenInspect.Cole [00:00:43]: Great to be here.Swyx [00:00:43]: So let's talk about it. Everyone is building their own Devins. What's going on?The December Shift: From Handholding Models to Autonomous PRsCole [00:00:51]: So I think the engineering world is waking up to this idea of background agents, cloud agents, whatever you'd like to call it. And I think we saw a shift around the December timeframe of 2025, where the models Opus 4.5 and GPT 5.2, they reached a capability where we moved away from handholding the model and being able to actually more or less autonomously drive the model. And what I mean by that is that we could pretty much go from a specification to a completed pull request, assuming the spec was good enough, with very little friction. And that paradigm alone, I think, changed a lot of how we interact with agents, and opened this world where background agents became more practical.Swyx [00:01:41]: I think for Cole, everyone experienced this in December, but I feel like there was just this increasing ramp, right? There was this moment which was, I think, Sonnet 3.7, where, You guys rewrote Devin in one night or something. So describe 2025 or how it felt from your side.Walden [00:02:01]: In retrospect, we always thought it was ramping up, but then even now, over the last three, four months from today, it's been ramping up even faster. So it's almost funny to be talking about how, big of a leap Sonnet 3.7 was, and honestly, a lot of it was stripping out parts of Devin that were no longer needed with that jump in of intelligence. But I also just think that a lot of the recent leaps, especially, you look at, models like Opus and the latest GPT models, they are reaching levels of autonomy where people are actually finding that they actually can just be hands-off. And people who were once debating, “Oh, do I need to be in the weeds with my model in the IDE? Can I just completely move it off into the cloud?” That's a more serious conversation, and we've seen that in all of our growth charts. Internally there's this funny graph where our usage has, of PRs, our merged PRs, has grown 7X since I forget what it was called.Swyx [00:02:57]: I think Dev, maybe tweeted that. Yes.Walden [00:03:01]: it grew like 7X over, the last, I think it was, two months, three months, something like that. And then you see our engineering headcount growth. It's, gone up by, 10% or something.Swyx [00:03:11]: We were, we were afraid To release this. So this is Devin commit percentages on all Devin repos, was 16% in January and now 80% in March.Walden [00:03:25]: It's a big shift right now. And so it makes sense that a lot of people are now thinking about, buying Devin, but also maybe, trying to build their own and there's Lots of I have a lot of fun building Devin, so I can see why other people would want to build their own cloud agents as well. Matt, well, maybe it's good to hear, what initially inspired you to try to build OpenInspect?OpenInspect: Ramp, Cloud Agents, and Open SourceCole [00:03:49]: OpenInspect came about, through primarily my clients observing how they were using tools like Claude, OpenAI's Codex at the time, and seeing some of the friction that they were having with it. Primarily the Claude was being used through Slack, and a big issue they ran into was that the sessions that were launched were specific to whoever called it via Slack. And so if a PM was the one who invoked the session and they would then go to pass context to engineering can't see the session. And that in itself was a deal breaker because the PM, “Hey, engineering, can you jump in?” But there's nothing to jump in on unless they're copy-pasting out or the single response that came back. And so seeing some of these problems, I had built a similar architecture internally, just to experiment with, test out different ideas as this trend of moving off of localhost was starting to become, And as Ramp released their blog post, I had a lot of the pieces for this already in place, and just thought it would be funny to, see what Claude could do just purely from the blog post. And on my X account, there's actually a thread of where I live tweeted, going through thisCole [00:05:14]: comparing GPT and Claude as both of them are going through it.Swyx [00:05:17]: On the announcement thing or something else?Cole [00:05:19]: right after it got released. We can put it in the show notes. Yeah, it was helpful that I had already knew how to verify the system. I knew what I was looking for. I think Ramp did a great job of really illustrating, the technical aspects of how to build something. It was much more than just like, “Hey, we built a great system.” It was, “And here's how you can build it too.” And so, I resonated a lot with that, just with the problems that I was already seeing, and I thought that, looking around, I didn't really see anything in the open source community that, met this type of system. I think there's a lot that run, in localhost like Superset, Conductor, and many others.But nothing that was actually running in the cloud. And so, I built it, and I thought it was interesting to just open source it and allow anyone to then have a foundation that they can mix and match on top of.The Business of Background Agents: Open Source vs. DevinSwyx [00:06:16]: So literally after Devin was launched was, there was OpenDevin Which became All Hands. I don't know if you tried that orWalden [00:06:22]: I was going to say, one of the things that interested me a lot with OpenInspect was, you didn't try to go make it then something you monetize. There are a lot of, I think, these open source projects would then go and really try to, raise VSwyx [00:06:36]: That's why no OpenDevin. Yeah.Walden [00:06:38]: yeah, and how did you think about that? I thought that was very interesting.Cole [00:06:44]: I thought, and just what I had seen across my clients, was that having a background agent system is going to become a critical infrastructure within their company. And so because of that, I think that I wanted to open source it so that they could fork it and put in whatever customization they wanted. To that question though, I get asked all, “Oh, are you going to raise? Are you going to turn this into a service?”Walden [00:07:08]: I'm sure you've gotten offers.Cole [00:07:09]: but primarily I don't want to do that for a few reasons. One, I think that I don't want to compete for, $20 a seat. I think that is just a really difficult business. I think it's very easy to copy the main pieces of it. Again, I built this fairly quickly. And I think because you are not owning, I guess, the entire stack, it's hard to monetize. You have money being made at the sandbox layer with Daytona, E2b, many other players. You have money being made at the model layer. And you sit in this weird in-between gray area where what are you actually selling? You're selling, I guess, the infrastructure. You're selling, the integrations maybe.Swyx [00:07:55]: let's ask the guy. What are you What are you selling?Walden [00:07:59]: Well, yeah, there's multiple layers to this in practice, and actually it's funny you mentioned the infrastructure, ‘cause when we got started building Devin as well, we had to go figure out how to make the infrastructure as well because,Swyx [00:08:10]: You had to build this two years before everyone else,?Swyx [00:08:15]: Including, the model sideWalden [00:08:17]: It was not, it was not very polished at the start, when we just built it off of raw VMs from cloud providers like EC2, the boot up time was so slow, I think, And especially then, turning off the machines, saving them, and then to be able to bring them back up again when the, when you want Devin to wake up again later. It would just be out cold for like 10 minutes because that's just how long these systems took. They were not built for this repeated down and up usage. And so we actually had to go do all of that. And as a result now, one thing we offer when we go and sell Devin to people is, you don't have to worry about all the compute side of things. We'll make it work. We'll make it work in your cloud if you want it to. But aside from the product, and I want to go into the agents and the tuning of the intelligence part later, but I think a big part of what we do at Cognition as well is to just make sure that your company learns and uses and adopts these coding agents. ‘Cause I think for especially the largest enterprises in the world, you find that there is a lot of people who want to move over to using AI for their day-to-day workloads. But because of the way projects are planned, because, not everyone is literate in using AI in these ways, having a team of engineers who can actually go in and onboard you, set up all the integrations you need, the automations you need to really get to that level of, leverage with AI, is super helpful. And so We do that. We show thought partners to the customers that we work with as well.Swyx [00:09:56]: So let's talk about, architectural stuff. I think that's always, that is something that was the topic of conversation between the two of you. Is this, the mental model that you want to start with or something else? I'll just leave the floor open to you guys.Agent Architecture: Harness in the Box vs. Out of the BoxCole [00:10:11]: I think, maybe we can start here as just a general what are the pieces of a background agent system. And then maybe we can go into some of the nuances of, Decisions that you can make.Swyx [00:10:22]: But I guess I also Like, what, maybe what Walden is saying is the agent is like in this open code box, I guess. Right? This is infra, and then there's, that's the agent. And you had this discussion about whether you put the agent in here or in Out externally. Can you tease that out?Cole [00:10:39]: In a background agent systems, you have a decision to make of where the agent is actually going to run. This is typically described as the harness in the box or out of the box. With running the agent in the box, you're making some trade-offs by doing that. The negative trade-off you're making is primarily security. Because the agent is running in that box, unless you otherwise design it, all of your secrets need to go into that box as well. And given the nature of AI, it can be unpredictable, and you could very easily end up accidentally exfilling your secrets, or other unintended behavior. Now, the out of the box is the idea that we are going to have the actual agent running not directly in the sandbox, and we will have, quote-unquote, the brain of the agent running in some type of worker, control plane. That sandbox then is going to serve as the hands where the brain is basically operating and making tool calls into that environment to manipulate it. I guess other trade-off that you're making between the two systems is that, in my opinion, running it out of the box is much more complex because, you have state that has to be managed, whereas if you're running it in the box, all of the state of that agent is actually in the box, and yes, it's you could persist it elsewhere, but it's all localized and you have less concerns to worry about.Walden [00:12:08]: I think a lot of that, what you mentioned, is why we actually from the start built Devin to what we called separate the brain from the machine. The other thing that this allows you to do is reuse any existing infrastructure you have for dev boxes Perhaps. And so you don't have to worry as much about making a new type of dev box that has all the dependencies the brain needs, as you mentioned, the secrets the brain needs as well. One thing that we've seen some customers run into is, you have a GitHub app and you want Devin, your agent, whatever, be able to interact with GitHub through this application, but then you have different users with different actual permissions. If they are all interacting through the same GitHub app and there's no actual, separation between the system that decides, what it does and the actual secrets on the machine, then you run into an issue where, okay, it's hard to do the separation. But in practice, with Devin, it's much easier because we just say whatever you put on the machine, that is, the scope of basically what the user is free to do, what the agent is free to do. So only put the most scoped secrets on that machine, and then the brain is fully not accessible from the machine. So you don't have to worry about messing with the, any of the most secure parts of the brain if the user is free to do whatever they want with the machine.Swyx [00:13:31]: I was going to just bring, I have this, chart from OpenAI, where I don't know if this is, in the box, out of the box. That is something that they do use to describe it. And then also recently Anthropic did, managed agentsSwyx [00:13:44]: Which is, this is their thing. I don't know. It's all, it's all variations of the same pattern, right?Cole [00:13:49]: So this would be out of the box.Swyx [00:13:51]: Which, is preferable for them because it's less work?Cole [00:13:56]: I would say it's more work.Swyx [00:13:58]: It's more work?Cole [00:13:58]: But it, in my opinion, it is the better architecture of the two. It's just, you're taking on a bit of complexity by doing that.Repo Setup, Docker, and VM-Based Development EnvironmentsWalden [00:14:07]: One thing I've not seen a lot of other players do well is how do you manage what's actually on the box? And this can be complex for many reasons. Let's say you have a big repository that's changing and updating a lot with changing dependencies. How do you make sure that the working environment of the agent actually stays up to date, has all the credentials it needs to, let's say, run the app and test it, and all the things you want your autonomousSwyx [00:14:34]: So a repo setup.Walden [00:14:35]: Exactly. So in, internally At Cognition, we call this repo setup.Cole [00:14:39]: The hardest part ofWalden [00:14:40]: It's been a perennial problem since the start of the company, of how do we help people get this set up? Because not everyone just has, working cloud environments working out of the box. And do you find this to be a common problem withSwyx [00:14:53]: How do you solve it?Walden [00:14:53]: Your clients?Cole [00:14:54]: This is a very common problem, and through my consulting, this is a lot of what I help teams do. A lot of teams don't really have great developer environment setups, if any. A lot of the times it's, “Go talk to Bob and get the secrets,” and that obviously doesn't work when the agent needs to actually set this up. And so a lot of that, most teams are using Docker Compose or some type of microservices. And so for theSwyx [00:15:19]: Even in prod?Cole [00:15:20]: Not in prod. With the OpenInspect, you are using this primarily to interact, and make code changes. There is other use cases, but you can hook, whether through CLI, MCPs, other tools, you can then hook that into your production systems primarily for, SRE type use cases. But you are not, necessarily, trying to test your prod internal microservice through the system.Walden [00:15:48]: And you mentioned Docker Compose. I think one direction we saw some of our friends take early on was, using Docker containers as the level of abstraction for their models. There's lots of reasons, I think, why Docker containers are not great. One thing is, Docker container's not really a true security boundary, for one. But the other is, if you are running real applications, a lot of times those applications use Docker, and then you have to think about Docker in Docker, which is, really weird. And so I think part of, the really hard challenge of getting VMs to work, why did we do that? Well, it was because we realized that you actually needed, full VMs to be able to do these types of things. And especially nowadays where there's actually value in running the application and clicking around and sending you screen recordings of these things. The value just, keeps adding on top of that. But it is a decision I see people run into when they try to build their own systems, is, “Oh, do we, in addition to this, do we put the agent in the machine or out of the machine? Do we use Docker? Do we use something else?” What do you recommend people nowadays?Cole [00:16:57]: I think Docker is a good solution for maybe not running the agent, but running your infrastructure, because that is more or less the same setup your engineers are probably already using. If they're not, then I don't know what they're using. But they're probably already using Docker Compose.Swyx [00:17:14]: I've always had a small candle for web containers. I don't know if you guys have tried them before.Swyx [00:17:19]: To me, they were, supposed to be like Docker Light.Cole [00:17:22]: Is it?Swyx [00:17:22]: I don't know.Cole [00:17:22]: No, I haven't tried it. But yeah, I think any environment that you've set up that is a good experience for your developer naturally lends itself to being easy to set up for the agent. And once you figure out that local developer story, you've more or less solved the agent in a sandbox, environment setup. OpenInspect does have hooks as well, where you can, run a setup SH script that will pre-install everything. You can then pre-snapshot that build so it starts instantly, and then there is a second hook to actually then, restore the state of the sandbox when it comes back. And so you can already have all of those microservices running and basically get the same experience that you would on your machine within the sandbox.Testing Agents: Computer Use, Screenshots, and Real App WorkflowsWalden [00:18:08]: Another thing that we've been thinking a lot about is like Different VM service offerings. Have you had customers where they needed like macOS specific VMs or like Windows specificWalden [00:18:20]: VMs?Walden [00:18:22]: There are like many technologies in the world that only work on specific types of machines, right? If you're building a.NET application that has to run on Windows or like, maybe more commonly if you want to build iOS or macOS Does that workSwyx [00:18:32]: Does Commission supportSwyx [00:18:33]: Choices like that?Walden [00:18:35]: The fundamental architecture we do, because we do the separation, it does support, but the actual work in progress is happening right now on these. Another thing that we've actually recently added support now for, it's in beta, is doing Android development. To do that, we needed to support, I think, nested virtualization within our machines because the VM itself is like a, is a virtualized Firecracker instance, and then you had to then run another Android emulator inside. And there's like weird performance issues that like, it, which is why it's like still in beta. We have to think through these problems, but it unlocks a lot for anyone who wants to do Android development.Swyx [00:19:13]: I was trying to find like a reference video for the testing thing. I couldn't find it, but I think you worked on the testing, capability. Why call it testing and not like computer use or I don't know, it's, what's the general Category of problem?Walden [00:19:26]: I think that when people think about the ability of an AI to run your app and test it, I think they actually over-index on the computer use part of it because computer use in my mind is the literal, okay, you want what button you want to click. Can you emit the right coordinates to go click that button? I think testing is actually a really interesting likeWalden [00:19:48]: Problem-solving, challenge for these AIs because if you wanted to do arbitrary testing, imagine you make a change that spans the frontend and the backend, maybe, even some other like even more deeply nested service. To actually test that change, we have to reason through what-- how do you first run these applications to orchestrate with each other with the right version of the code? Then, okay, how do I trigger the feature or how do I make the thing actually happen? And this can get arbitrarily hard, maybe you have to be an admin. Maybe a certain thing has to be feature flagged on. Maybe, you have to like run two sessions and then send us a very specific word into one of them to trigger a specific behavior. And figuring out how do you do that requires a lot of code base context, requires, a lot of orchestration that we've specifically done. And in some cases, we found that you actually, no one frontier model can actually do this full end-to-end task itself.Walden [00:20:42]: We've seen cases where we actually had to orchestrate different frontier models together to solve this problem together. That is where we spend most of our time when we think about this testing problem, not so much the computer use part. Computer use for what it's worth has gotten a lot better with recent models and it's made that part of the job certainly easier.Swyx [00:20:58]: Especially with like even 4.7, that they released yesterday, apparently like way better in terms of the vision stuff, which is going to be encompassing computer use.Walden [00:21:08]: Having evals for all these as well is something that like takes a while to build up. And having the evals be right is tricky as well. Do you ever see like, clients who are building their own agents have to start standing up evals to make sure things don't regress?Swyx [00:21:25]: Not so much evals in the traditional sense, but specific to the testing part that has just gone in. I just added support for screenshots And in theory you can also do video. I need to put in a plugin to do that. But they do show up natively, and it was a very heavily requested feature, especially after Cursor's recording came out. I think that was very enlightening for everyone of like, “Oh, this is a very good feature to actually have.”, I think with Devin you guys have had this for a while.Swyx [00:21:57]: Oh, yeah. See how screenshots work. Yeah, I don't know if there's anything, super and not obvious. It's like once what feature to build, you can just prompt it and it Will mostly work.Walden [00:22:09]: I think to Walden's point, though, the computer use is a subset of the larger testing problem, and I think that's very specific to the code base that you're working and it's not something that, out of the box that you could just solve it. The-- you do need the code base context to actually know how to test it. And I think in the case of a background agent system, you fortunately do have that code base locally that what is changing and could then inspect it and use that to drive the model.Swyx [00:22:40]: For those who haven't seen it before, this is an example of how it works. You, after the PR is done, you click testing approved, and then it sends you back a video. What I really like is that it labels, It's very small here, but it actually labels what it's testing. And then it-- and then you actually see the cursor and everything. So I don't know, yeah, the engineering in this, just Whatever you want to show. ‘cause this is like, this is one of those like, oh, few of the AGI moments, right? ‘cause Once I look at this, I actually don't I wish I can just merge inside Of Slack instead of going to GitHub ‘cause I don't need to see the code. I know it works.Walden [00:23:19]: Maybe a new feature in Cursor. Yeah, the annotations at the bottom was also a big difference for me when I, when I added those.Swyx [00:23:27]: It's just like, what am I looking at? What are you trying to demonstrate?Walden [00:23:30]: Exactly. There's a surprisingly long tail of small details that ends up making a big difference for this end metric of like how fast do you actually merge the code in. One experience that we spent a lot of time tuning early on was what is the right experience on GitHub for these tools. Because I think, most tools out there when you build the agent, you'll think about, oh, it'll create the PR for you. We try to take that a step further and say, “Oh, what if we actually made sure you could interact Devin, with direct Devin directly on GitHub?” And so we made sure that you can comment on GitHub, and Devin would actually receive those comments and address them back. But there's actually quite a bit of tuning you have to do here because you can imagine that actually like-We recently have Devin Review, for example. Devin Review will post comments on his own PR And then Devin has to then goGitHub Workflows: Devin Review, Comments, and PR AutomationSwyx [00:24:23]: He answers his own comments, which is Really loopy. So like, yeah, I like that it just updates here that it's, that I have commented But usually it's just me saying like, “Hey, merged, fix any merge conflicts.”Walden [00:24:37]: The, so when Devin fixes his own comments, you might be scared that, oh, maybe I'll infinite loop. But we've put a lot of work into making sure it doesn't, both by making sure that the comments are high signal, but also that the agent is thoughtful about what comments it immediately goes and tries to fix, and what comments it's like, “Wait a second, I think you're wrong.” Actually, that's one of my favorite moments is when Devin tells me that I'm wrong, when I try to get it to do something different. But tuning that behavior, actually makes a big difference in terms of how useful the actual GitHub experience is.Cole [00:25:06]: I think to touch on that as well, I think having the AI reviewer integrated into the system is a critical part of this background system. OpenInspect does have that. It has a GitHub code reviewer that you can control the prompt. It does do comments as well. It doesn't do them automatically yet. The capability is there, but it's not fully used.Swyx [00:25:27]: So you have to ask for it?Cole [00:25:28]: you do, yeah. You can tag it on GitHub, and then whatever you named your, GitHub bot, it will then follow up on it. It will then, if you have merge conflicts or whatever you have asked it to resolve, it will then resolve it, but it doesn't do it automatically yet.Integrations: Slack, MCP, and First-Party Agent InterfacesWalden [00:25:42]: Well, I'm curious, what is, the most common thing that people end up requesting, that they still need on top of OpenInspect when you help them go implement it?Cole [00:25:52]: I think a lot of it comes down to actually integrating it into the company. It's one thing to have the background agent system set up, but if it isn't actually integrated into your larger ecosystem, it isn't that useful. It is useful to be able to kick off sessions, but what we really want to be able to do is hook it into all of our other systems, whether that is the production database with read-only credentials, the logs, a Confluence or internal knowledge-based system. I think that is where I see the huge leap for companies, and that can be a challenge for companies as well who are maybe not familiar with exactly how to approach it, especially if they're in environments that have more compliance type things where, access control can be pretty big and how do you deliberately think about these problems, I find to be, one of the problems that comes with a system like this.Walden [00:26:46]: The thing we found is So, MCPs, obviously it has been like this, really big explosion of, oh, you can go, integrate it with all these different things. But to actually get the integration right and the and get the right experience, oftentimes we found that we had to go build our own ad hoc things. I think Slack is a great example of this. You could give your agent a Slack MCP and okay, it can post messages back to you on Slack. But we actually use Devin like a coworker in Slack, and that's how it's been built from the ground up. But to do that, you actually need to, support webhooks that come back, right? And then Devin has to respond in a natural way and then hopefully don't spam your threads too much and annoy the people in your company. So you got to tune that experience just right. Especially when there's a lot of back and forths, we find that we actually have to go beyond the simple MCP integrations in these places.Swyx [00:27:39]: I just pulled up the MCP marketplace. I know this is a Fair amount of work. Is the answer to eventually take first party control of all the top MCPs? Is that theWalden [00:27:48]: I would love a world where you could have something that's more expressive than MCP. That, goes both ways, not just a set of tools, but a proper system that interacts back and lets it Have the right experience with all these interfaces.Swyx [00:28:03]: So there actually is sampling in the MCP spec, but nobody Uses it, right?Walden [00:28:07]: And so I think that's the other part is, actually we found that when the MCP spec starts to get too complicated, it starts to lose its original promise of Being like a simple one-step connect. Now then we have to go figure out how to support all these different variations of things and It starts to look a lot like just building the first party integrations in a lot of these cases now.Cole [00:28:29]: I think it matters, too, how critical it is to your company, right? If this is something that nearly every session is going through, it probably makes sense to own it so that you can make optimizations on top of it Versus just whatever is off the shelf.Swyx [00:28:43]: Awesome. Other than MCPs, what else, sorry, well, I don't know if that's Narrowing in too much on, integrations. But what else? What other elements of building OpenInspect or Devin that you guys really sink on?Memory and Knowledge: What Agents Should RememberCole [00:28:59]: I think, a problem that comes up very frequently is this idea of memories or knowledge base.Swyx [00:29:05]: Oh, boy. How do you solve it?Cole [00:29:08]: so not solved yet, is the short answer.Cole [00:29:11]: it's something, there's a open issue for it, someone asking about it.Swyx [00:29:16]: There's, I, D Wiki hasn't indexed anything about memory yet.Cole [00:29:20]: how I'm seeing it solved across my clients is primarily through skills. I find that skills can be a good gap within that or updating Claude MD, but I think memory as a whole is a pretty unsolved problem, and it is why I've been hesitant to add it. I think there is parts of memory and that can be addressed, but I think as a whole it's a very difficult retrieval problem.Swyx [00:29:44]: Oh my God. RAMP didn't write anything about memory? I see zero search results.Walden [00:29:50]: No. Memory can be quite tricky to get right because it's the retrieval, but also the generation of the memories that can be really tricky. You don't want it to just like Remember very specific details.Swyx [00:29:59]: Walk us through the Devin memory journey because I know there's been a journey.Walden [00:30:03]: the first version of memory that like stuck around for a while was A system we have called Knowledge. And the idea was we wanted it to pick up things over time and not need the user to be proactive about teaching Devin things. So, okay, any time you remind Devin, “Wait, no, that's not quite the way you're supposed to use Git”Like, we actually want Devin to say, “Hey, do you want me to actually just remember this for the future?” And for you to just basically quickly approve or reject and for it to build up over time. ‘Cause I find that, 95%, I think, or some crazy stat like that of the memories that Devin has are all through these auto-generated things. Very few people actually just want to sit down and write big docs on Here's how you're supposed to work with the technology, et cetera. The generation and the retrieval has been something that we've been trying to tune a lot over the years. Generation, you don't want it to remember something like, if you asked one time to like, “Oh, please open as a draft PR,” you don't want to be like, “Oh, everyone forever now should get their PRs as draft PRs.” But you do want some, conveyor. Maybe you want to say like, “Oh, Cole generally likes, things to be created as draft PRs.” Same with retrieval, if you have thousands of these memories, how do you actually make sure they're retrieved at the right time? And that can be quite tricky to do right without exploding the context with a bunch of useful yeah, useless information. Surprising amount of just, eval work to just make sure that, memory is, remains a reliable system as new models come and go.Cole [00:31:31]: Do you have anything that you could share on, memory pruning? And like the temporal aspect of memory?Swyx [00:31:36]: Deleting and forgetting?Walden [00:31:39]: The, today, the, So the things they could do is it could edit memories. And so if your memory used to say like, “Oh, Cole likes to open everything as like a draft PR,” then you can imagine, “No, don't do that.” And then it'll say, “Oh, do you want me to update the memory to be Cole now want everything as, open PRs?” I think that at the same time we don't know if this is going to be the final version of the system. Whatever we have here will probably, translate into the new system that we'll be coming up with. But I think one big difference between two years ago and today is these agents are really good at using anything that resembles a file system natively. And so part of us are, is thinking, “Oh, should we rebuild memories to feel more like a file system that we let the agent navigate on its own?” That's been an interesting exploration. Also similar ideas in the scale space.Swyx [00:32:35]: I am pulling up OpenClaude's memory thing right now. So memory, OpenClaude has like this like daily memory journal thing, right? And you can I mean, that is a file system you can grep through and is a source of truth. I don't know if it's the best. It's probably super noisy, but at least, if you lose something you can discover it or you can apply some, forgetting algorithm to, more ancient memories that don't get recalled again or something. I don't know.Walden [00:33:01]: One thing we've been trying to do to push the boundaries of how you use agents at your company is letting an agent basically have a very similar file, a memory.md or something, and just like be your permanent PM for a specific set of issues maybe. So we have like some Slack channels internally, maybe a Slack channel dedicated to, a specific product like DeepWiki maybe. And you can imagine that, or you want a Devin that never stops, it's just always awake, but it has this like memory dock that it can just maintain for itself about, okay, what are like the number one priorities of what we have to fix and prioritize? Who is responsible for some upcoming work? Maybe they'll even Devin will even tag you on some recurring basis. And so it's been an interesting move to see, okay, how can we actually use Devin for more than just engineering? Can we actually upstream above the engineering process and maybe it's just Devin creating tickets, which then maybe some humans do, but then maybe other Devins do.Swyx [00:34:00]: One of my more fun automations is go research competitors and just suggest stuff to me on a weekly basis. That's the automation. I can't find it right now, but basically it just like, “Look at competitors and suggest things.” “And here are three things that you've suggested that I don't want any more of,” and you just stick that in the prompts. But like I wish actually So for like when I, for example, when I reject a PR, I wish that it updated memory so that I can then just not have to go up, go back and update the scheduled, sync, but anyway, feature request.Walden [00:34:31]: what? We might change it soon. I guess OpenInspect, in the time you've been around, has there been anything you tried to implement but then you had to like undo and like do a different way?OpenInspect Architecture: Webhooks, Control Planes, and Agent StateCole [00:34:41]: Nothing yet, but something that is on my mind. The initial way that I built it was that each of the integrations lives as its own package. And so you have The Slack bot, which is what's handling the webhooks, and then is basically interacting with the control plane. As I'm seeing the system starting to be more integrated, specifically with the GitHub bot integration, I'm considering bringing that all into the central control plane because especially now I want to start, And a request that I'm getting is the ability to monitor, the actual, pull requests being merged, as well as just tracking ofSwyx [00:35:19]: What do I have open?Cole [00:35:21]: What do I have open? How many of these are getting merged? How many comments are showing up? To just understand the health of the system. And so in the case of a GitHub app, you only have one webhook. And so then it's a question of do I put that webhook in that GitHub bot package? That's weird. It doesn't really make sense to live there because that package is more for like the code reviewer. Or do I like centralize it? So that's something that's on my mind of, making that decision. I think the other one we touched on earlier is the harness in the box versus out of the box. I think long term the architecture will eventually come back out of the box. Some of the newer tools that I've added are calling back into the control plane so that you don't have the secrets in the sandbox. And so I think long term I probably will pull the actual, agent out of the box, but I think for now it's fine.Subagents and Multi-Agent Systems: When Parallelism Helps or HurtsSwyx [00:36:16]: Just, a quick question on pulling the agent out of the box. I'm One thing I'm very bullish on this year is agents calling other agents or spawning sub-agents or Whatever you want to call it. Does that make it harder or easier? I can't tell. Because if the harness is in the box, you can just spin up more boxes. If the harness is outside the box, then you're, it's less easy because you are, you have a unicorn pet of a, of a harness that's, living outside the box.Cole [00:36:45]: In theory it would be the same way, right? Whether, one agent has launched many, sub-sessions within it, OpenInspect, for example, can launch sub-sessions and actually create other environments and then monitor them. In the case where it is out of the box, that would basically just be an additional session that's running. And so that session is also running outside of the box. It's running in your worker plane, wherever you're running this. And then you really just have to think about how does your top level agent then interact with it. I do think it can be more complex, just ‘cause again, you have now a more difficult architecture. But I think if you figured it out once, it's probably fine.Swyx [00:37:26]: Well, then I'm just, throwing it open to you in terms of, I call this like meta Devin management. Which is like the, Devin's calling Devins or Devin scheduling Devins or querying trajectories or anything like that. What have you built or unshipped, anything?Cole [00:37:46]: I think one of the surprising things we've seen is that a lot of the ways that, these, separate agents work with each other, and you want them to, parallelize their work, has still mostly followed the same manager sub-agents regime. And a lot of people I think are excited about this world where you have swarms of agents that, talk with each other all over the place. We've actually given Devin an MCP so they can just go arbitrarily message other Devins And create new Devins, et cetera. But I guess, it somehow creates, a really chaotic world in that sense. And so we've still found that most practical use on a day-to-day basis has been one single Devin.Cole [00:38:33]: Figuring out how to segregate the work and get, have other Devins work on it in, a relatively isolated sense, each with their own boxes Not sharing machines, so there's, a very little room for conflict is the regime that you have to create today.Swyx [00:38:50]: I'll call out, the experiments from Cursor, right? This is Wilson Lin's work on Single agent to multi-agent, and you're obviously famously on the side of don't build multi-agent. But they went through the whole thing, only to arrive at, this Which is exactly what Devin has, I think.Cole [00:39:08]: I think there will be a revision to that post at some point AboutSwyx [00:39:12]: Tell us about itCole [00:39:12]: I think multi-agents were very much not at all possible a year ago. You do see more multi-agent experiments today, but you can argue, are they really multi-agents, or are they just just, tool calls,? There are people who, will create sub-agents to go look for XYZ file, XYZ implementation. Has really nice context management benefits because all of the tool calls and tokens that it spends then get collapsed back to just the answer for the main agent. There's a lot of benefits to doing this. We basically have Devin do this with Deep Bookie, make a call out to Deep Bookie, give you back the results, but that feels like a tool call,? It's not like these, two collaborators actually talking back with each, back and forth with each other. But I think the thing that gives me the most bullishness that multi-agents might actually be possible is actually what I said earlier about Devin will actually sometimes tell me I'm wrong and push back, and I think that demonstrates a level of maturity and communication today that makes a multi-agent world possible. One, can two agents who have seen different information come back to each other and actually figure out who is right, what is the correct implementation? They're not just, yes men. Claude, I guess is like, used to just say, what is it? “You're right,” or,Swyx [00:40:25]: “You're absolutely right.”Cole [00:40:26]: “You're absolutely right.” Yeah.Swyx [00:40:28]: The Have you seen, did you seeCole [00:40:29]: The age is overSwyx [00:40:30]: The Codex app troll in Topic? This is the Codex app. Inside of Settings, there's a little, there's a little Easter egg, right? So if you go to, the Themes or Appearance, right? There's all these, color codes, and the top is absolutely, and it's the Topic's colors. Which is such a troll. Anyway.Model Behavior: Pushback, Adversarial Prompts, and Agent SkepticismCole [00:40:53]: I love that Easter egg. Did you discover that yourself?Swyx [00:40:54]: No, it was, someone was, tweeting about it And I was like, I was like, “Is this true?” Because, sometimes people just tweet stuff to, get a rise out of you. But yeah, there you go, in Topic colors.Cole [00:41:06]: Yeah. So yeah, we're out of this regime where, it just says you're absolutely right, and they can have real conversations and real back and forths.Swyx [00:41:13]: You can prompt it as well to be more adversarial or whatever. Yeah. Okay. Yeah, that, I mean, to me, that is more intelligence, right? That is not just something that's, a dumb tool, it's actually pushing back on you I think. Yeah.Cole [00:41:24]: when you mentioned, of course, the blog posts. There was one blog they had where they fed a swarm of agents together and built a browser.Swyx [00:41:34]: That was I think that was the one.Cole [00:41:36]: You can have, likeSwyx [00:41:37]: I think it's the same oneCole [00:41:37]: Creation of it. We found a surprising success of, don't do a swarm or anything, just have one Devin, it does its own context management. Just let it keep running for a while and give it some crazy tasks. I think we asked it to, rebuild, a Windows OS system. And it managed to do it just like, going on for long enough. It'sSwyx [00:41:55]: Was this Andrew's thing?Cole [00:41:58]: there were lots of demos that we ended up not posting, ‘cause at some point we'd just be posting way too much a bunch of, Demos. But I love that because it shows that I think the multi-agent thing still has, a bit of exciting sexiness to it, which is maybe still beyond still, the actual delta it adds to the capabilities of these systems. But it's absolutely the future. I think we're heading in that direction and we can see the progress being made there already.Swyx [00:42:25]: If I were to, make one super minor pushback because I don't feel that confident about it yetCole [00:42:33]: Go for itSwyx [00:42:33]: But I've had Ryan Lopopolo from OpenAI on the pod And he's a super slop cannon, right? Oh my God, that's my coding agent being done. I downloaded this, Peon Ping. I don't know if you guys have heard this. It takes like-, sound packs from popular games like, Command and Conquer and Warcraft, and then it plays it whenever it's done. And so it's like, “Work,” or whatever, “At your command,” or something. Anyway, what I got from the Cursor code base and from Ryan's thing was that there's a slop cannon approach where you try to loosen the single agent's, bottleneck, and I feel like that is, probably an, a very important thing to try to figure out. I don't think anyone's, really solved it. Because then you just have more reviewer slop on top of the agent slop To try to wrangle it all. Ryan will probably very strongly object that I say that he hasn't solved it, but he thinks he's He thinks he's completely solved it. But I think it's still I think it's, very important, ‘cause, that is a bottleneck, right? I feel Devin is slow sometimes Because I'm like, well, yeah, this is very readable and very sensible, but also it is slower than it could be if I just, I want a button to just say, “Just ramp this up 1,000 next parallel, in parallel and just, see what happens,”? And I don't know if that's, feasible at some point in the future.Code Review, Entropy, and AI SlopWalden [00:43:55]: I And we've also run experiments internally where we've basically tried to build entire products, true products that we knew we would eventually ship, but for now, let's try to see if we can do it just by purely, vibe coding on top of each other, auto merge, no code review at all. And then there's this benchmark of how many weeks can you go onto this for Before you say, “We have the trashiest code base.”Walden [00:44:18]: “Let's actually rewrite it from scratch.”Swyx [00:44:19]: Start a new factory, yeah. What'd you find?Walden [00:44:21]: I think we found that the state-of-the-art in December was you can probably, run this for about two weeks. By the end of those two weeks, you'd find that, hey, you want to, change the color of a button. Well, it turns out this button is implemented in, 10 different places, and they, have All these different variations, and oh, you forgot one of them, and actually it's a slightly different color in one spot. And you're like, “Okay, this is too much to work with. Let's actually try to do code review at the same time.” And make sure that we're on top of our software, actually cleaning it up a bit And making sure it's done in a scalable way.Cole [00:44:54]: I think building on that, the idea of, you don't have to look at code, I think is generally a bad idea. And the meme that I have for thatWalden [00:45:03]: What timeline, all right, is Do you think that statement will be true on?Cole [00:45:06]: I think probably for a while it'll be true that you should continue to look at your code. A problem that I see a lot of teams run into that I work with who are embracing AI native, AI first coding, is The meme that I have is that your code base regresses to your worst engineer, because that engineer who is, very gung-ho about AI and is not auditing their code, their pattern starts cementing into the code, and now the AI is referencing their patterns. And so now their if/else block that, is 20 if/elses back and forth, the AI is seeing that as the pattern of how things are done and starts to then exponentially grow this slop. And I find to your point, a pretty good approach to that is having scheduled cleanup, whether by humans or through systems, that are looking for duplication. They then address that. You'll end up with like 12 helpers for how to format a date. And you need to address that, because otherwise it will continue to sprawl.Swyx [00:46:09]: Within balance, I think it's fine to have some duplication, and then sometimes To have garbage collection, right? Yeah. The What I've been, talking about with a lot of engineering leaders is that you want to be very strict about the boundaries between modules, and it's your job as an architect, as a CTO, whatever, to say like, “Okay, here's the hard contract between you guys and you guys. Whatever you do inside this black box is your business. You do whatever. But between these guys, let's be, really damn clear, and any movement must be signed off by a human or me,” or. Then, and like that's that. I don't know if you have any other modifications or advice.Walden [00:46:44]: Well, I guess generally on the topic of, where humans can be useful, I found that ‘cause, some of these, really deep infra problems, sometimes just having a human that just has, really deep expertise can make a big difference. I've actually seen this come into play when actually building agents. So we've had a few friends now, try building their own coding agents, and I think one same problem that I recurringly heard a lot of them run into was this problem of like, “Oh, Grep is really slow on our agents' machines.” And so a lot of them, I assume because they're using AI and they themselves don't have, super deep infra background knowledge, say, “Okay, we're going to go build our own custom Grep index. It's going to be really fast,” and use that as a way around this problem. When we ran into this problem About like, maybe like a year and a half ago when we were, in the early days of building Devin, we obviously didn't have AI then. We just asked our, how to, how to do this. You can just swap out a new Grep index, so.Infrastructure Details: Grep, File Systems, and SandboxesSwyx [00:47:45]: What do you mean you hand-coded Devin? What?Walden [00:47:48]: It's like, can you believe we hand-wrote this code? And we had, our infra people who are really amazing, they were looking into it and they're like, “Oh, what? We realized that actually the root cause of this problem is actually super simple, but like fine-grain detail,” which is that a lot of these virtual machines actually underlying them don't use real file systems. They use these, network file systems where things are actually cached over the network actually in S3. So when you're Grepping, you're actually making network calls Every time you're doing these things, and that's why Grep is extremely slow on these machines. And so again, goes back to, what is all of the crazy infra work that we had to do to actually get these machines working. If you try to do this yourself, there are tons of small details like this, and so we had to eventually go swap out that network file system. ButSwyx [00:48:35]: I think there's a write-up about it, right? Silas did one about the virtual file system.Walden [00:48:38]: Oh, that was a whole other thing. TheSwyx [00:48:39]: Oh, that's a different thingWalden [00:48:40]: The BlockDev file storage formatSwyx [00:48:42]: I'll bring it upWalden [00:48:42]: Which is, a file system format that we built so that the VMs could be spun up and down very quickly. Basically, the intuition behind this is-Imagine you have, a terabyte of disk, and your agent only, wrote, a hundred lines of code on top of that disk. How long does it, say, take to, save and re-bring up that disk? And most systems, because you're not optimizing for this case, it's just, on the order of a terabyte of work because you have to Save all of that and bring it back up. In our system, we try to build a file system that incrementally builds on top of each other. So every time you save and bring the machine back up, you're only doing work that is proportional to effectively the diff in the file system. And so this, shaves off a lot of time in the boot-up process of Devin. I think we This is actually now outdated. We have a newer system inside of Devin. But yeah, there's a lot of tiny details you have to get right here to actually get the day-to-day experience of Devin to be good.Swyx [00:49:39]: It's, not technically agents, but it is agent infra, and when you sell an agent as a company, you sell agent plus agent infra.Walden [00:49:46]: At least the way we do it be And the other The nice thing about having the agent infra being done together is, you We get to deploy Devin in whatever environment we want now. We don't need to wait for some underlying infra provider to also go and support VPC or on-prem or FedGovCloud, for instance. So we can actually go and figure out, okay, since we own the infrastructure, how can we get that set up for you?Cloud Providers: Modal, Daytona, and Enterprise SandboxesSwyx [00:50:12]: Whereas you're Cloudflare dependent.Cole [00:50:15]: so Cloudflare runs the control plane. The sandboxes, Modal is supported. A contributor just added Daytona. E2B is on the roadmap, and I think there's an abstraction in place that if any contributor wants to add a new provider, they can add that in.Walden [00:50:32]: Well, what are, How are the customers you work with Do they generally try to then go set up a contract with another one of these third-party providers? Do they try to do the VMs in-house?Cole [00:50:44]: most of them I see using Modal. I think Modal has a greatWalden [00:50:48]: Shout out Modal.Swyx [00:50:48]: Shout out Modal.Cole [00:50:50]: I think Modal has a great offering. It captures all of the sandbox pieces you need, snapshots being a pretty big piece of that, and given that they also offer GPUs, I think it's a pretty nice offering as a whole.Swyx [00:51:04]: no debate there.Walden [00:51:07]: Modal is great, especially, I think their container offering is, the most natural, and so especially if you are willing to, forego, the full VM requirements Modal is, a really vast place you can spin something up on.Swyx [00:51:20]: Is there a point So Modal's very Python, and I feel like most workload, has really shifted to JavaScript. I don't know if you guys Get the same feeling. So, okay, when I started Landspace and IE and all these things, I was like 50/50 Python and JS, right? That's roughly. I think that's wrong now. I think JS has won. I don't know if you guys Like, I Maybe I'm overstating it, and maybe for cognition, there's, C# and Java and what have you. But for, new greenfield apps, do you feel that Do you get that sense? Does it matter?Cole [00:51:52]: I think that most of the libraries that I see in this space are Python native first, especially in theCole [00:51:58]: Observability space. That said, I think that there is a pretty big appeal of having your entire system in one language. Especially when you have both your frontend and backend communicating, you can have one central type Which is very nice.Swyx [00:52:11]: That's my case against Modal, which is Then you have to run JS. You can run JS inside Modal. It's just, one extra step That, isn't native to the runtime. I don't know ifWalden [00:52:22]: I don't knowSwyx [00:52:23]: Reviews. Do you have numbers? I don't know.Walden [00:52:25]: the one thing I don't like about Python is whenever AI, whenever it writes Python, it always does, the weirdest patterns, andSwyx [00:52:32]: Oh, because it's, mixing two and three or what?Walden [00:52:34]: I think it's something mixing two and three, yeah. The I don't know if you see this. It always tries to do, has attribute on objects as likeCole [00:52:41]: Oh, my God.Walden [00:52:41]: But it's like But that you shouldn't be doing that. It should error if there wasSwyx [00:52:45]: Because it's training on library code?Cole [00:52:47]: I think it's more of, likeCole [00:52:48]: From what I've seen, it's more of, a reward hacking mechanism where it doesn't want to basicallyWalden [00:52:54]: It'll never error.Cole [00:52:54]: It doesn't want the code to fail. And so it Even when it knows it has the attribute, it'll call getattr on a, and for a lot of my clients who have moved towards more autonomous coding, we've put that in as a lint rule That if you do getattr, your pull request is going to fail.Slop Signatures: Comments, Backwards Compatibility, and TypesSwyx [00:53:12]: Ooh, this is a fun topic. Can you tell me more about this? What else is a sign of AI coding that you have to put guards in?Walden [00:53:21]: So we were talking just before this about Opus 4.7. One of the things this new model likes to do is it writes lots of comments. Not like, it'll, comment every line, but it'll write, paragraph, PRDs, on top of every function. But I will say, to its credit, these aren't slop, descriptions like they were before. “Oh, here's what this function does.” It's like, “Oh, here's actually the r
In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley shares his "10x AI SOP Method" for scaling businesses by using AI to clone founder judgment. Rather than automating routine tasks, Josh explains how recording real-time work, feeding transcripts into AI models, and rigorously answering hundreds of probing questions creates highly accurate SOPs that capture nuanced decision-making. Through repeated iterations, entrepreneurs can build comprehensive procedures enabling teams to execute with founder-level expertise, eliminating bottlenecks and unlocking sustainable business growth.Bullet Points:Use of AI to replicate founder's judgment and decision-making in business processes.Importance of documenting nuanced decision-making beyond traditional SOPs.Step-by-step method for creating an AI-assisted SOP.Recording real-time work processes to capture decision-making rationale.Feeding transcripts of recorded processes into an AI language model.Iterative refinement of SOP through detailed questioning and feedback.Achieving high accuracy in SOPs by rigorously interrogating the founder.Utilizing training videos effectively for onboarding new team members.Maintaining context and continuity in AI interactions for better SOP development.Emphasizing the transformative potential of AI in scaling business operations.Timestamps:00:00:00 Introduction: How to Clone Yourself with AIThe host introduces the concept of using AI to replicate a founder's judgment and decision-making to scale a business.00:01:48 The Founder Mindset ShiftOvercoming the belief that "nobody can do this like me" by documenting the nuanced judgment calls behind your business processes.00:02:41 The Problem with Normal SOPsStandard Operating Procedures often fail because they miss the crucial, unarticulated judgment calls and trade-offs made by the founder.00:03:38 The Lazy Way People Use AIA warning against simply asking AI to create an SOP, as it lacks the specific context and nuances of your business.00:04:33 The 10x AI SOP Method OverviewAn introduction to the host's four-step method: record your process, feed transcripts to AI, have AI interrogate you, build SOP.00:05:33 Step 1: Record the ProcessThe importance of recording yourself performing a task multiple times over several weeks to capture various scenarios and nuances.00:07:26 Why Multiple Recordings Are CrucialRecording a process over time captures seasonality and different business scenarios, creating a more robust and accurate SOP.00:08:21 How to Record Effective LoomsThe key is to vocalize every decision, explain trade-offs in real-time, and record during different business scenarios.00:09:18 Live Demo IntroductionThe host begins a practical demonstration of his AI process for creating an SOP for his product research and development.00:10:21 Step 1 of the Prompting ProcessExplaining the initial prompt that sets up the AI as an expert SOP architect and instructs it on the process.00:12:09 Steps 2-4: Feeding Transcripts to the AIHow to upload weekly transcripts and use an "SOP memory" to have the AI continuously update its understanding of the process.00:13:16 Step 5: The First InterrogationPrompting the AI to ask numerous questions to ensure the SOP captures your full judgment with 95% accuracy.00:15:06 Step 7: The Second InterrogationPushing the AI further by asking it to ask more questions to achieve 99.9% accuracy in the final SOP.00:15:33 Step 10: Creating a Training PlanUsing the AI to analyze all recorded videos and create a structured onboarding and training plan for new team members.00:17:24 Live Demo WalkthroughA screen-share demonstration showing the actual ChatGPT thread, from the initial prompt to the AI's 240 interrogation questions.00:21:17 Why This In-Depth Process MattersEmphasizing that thorough systems are what truly scale a business, preventing the frustration of team members not executing correctly.00:22:29 The AI-Generated Onboarding PlanThe AI's final output, which suggests the best order to present training videos to a new hire for maximum clarity.00:23:31 The Importance of the Loom Training LayerLeveraging the recorded videos as training assets, using AI to determine the most effective sequence for onboarding new hires.00:24:32 Key TakeawaysAn SOP is complete when someone can make the same decisions as you, which is achieved by using AI interrogation.Links and Mentions:Tools and Websites "Helium 10": "00:02:36" "Cerebro": "00:02:36" "Data Dive": "00:02:36" "Loom": "00:05:29" Videos and Demos "YouTube Demo": "00:10:14" Prompts and Processes "AI Prompt Library": "00:25:09" Key Takeaways "SOP (Standard Operating Procedure)": "00:24:00"Transcript:Josh Hadley 00:00:00 If you're a business owner, you've probably thought, hey, is there an ability for me to clone myself? Because if I just had 3 or 4 more people on my team that thought the same way I do that, execute the same way I do, and actually have the same work ethic that I do. Man, our business could be ten x bigger than it is today. Well, today I'm going to show you how to utilize AI to clone yourself in the exact process that I'm following to clone myself in my business. Welcome to the Econ Breakthrough Podcast, I'm Josh Hadley. I've scaled my own ecommerce brand from 0 to 8 figures, and I'm actively building towards nine figures in sales. This podcast is where I document that journey and share the systems, the strategies, and the lessons learned in real time so that you can learn what actually matters and scale your own business. Who am I? My name is Josh Hadley. First and foremost, I am a man of faith. I'm a husband to a beautiful wife and the father of four children.Josh Hadley 00:00:49 I have been selling in the e-commerce space for over a decade now, doing over $20 million in annual revenue and selling multi-millionaire on multiple sales channels including Amazon, TikTok, Shop and Shopify. And I am also the host of the E-com Breakthrough podcast, the number one business strategy podcast for eCommerce entrepreneurs. Today, I'm going to be showing you how I use AI to clone myself in my business. And this doesn't just mean I'm using AI agents to go clone myself. What I'm actually doing is following a system that allows me to replicate my same level of judgment and decision making throughout the team, whether it's a team member executing tasks for me, or it's AI executing tasks for me, the most important thing that you need to do truly is to clone the way you think and the judgment calls that you make that is ultimately what you're looking for. Most people use AI to just...
Stop losing deals to "skeptical prospects" and lukewarm discovery calls. Master the art of the B2B sales conversation by aligning your tonality with your intent and asking the right questions to the right stakeholders. In this video, Kevin Dorsey breaks down a high-impact sales discovery framework to help you uncover pain points, quantify impact, and build immediate trust with decision-makers. -- You're one step closer to President's Club! Grab these resources to help you get there:
Help us welcome our newest sponsor...GORILLA GLUE! Go to gorillatough.com/shopsounds to learn more about their amazing line up of products!In this episode, Jason talks about his Seahawks project and has some issues with faceframes, powder coating and steel studs. Keith STILL can't get out of his own way on his current wall hanging cabinet and his LED's are strangling the whole project. Mary didn't measure twice before cutting her leather, but is enjoying her new stained glass work area and backyard reno. Be sure to check out Bits & Bits at www.bitsbits.com and use coupon code MORSELS15 to save 15% on your order of router and/or CNC bits. Be sure to hit up Katz-Moses Tools at www.KMTools.com - cool tools at a fair price. If it's on their website, it's in Jonathan's apron. www.kmtools.com **And check out the new Katz Moses toolless adjustable countersink and new sharpening jig and sliding stop block. Oh, and don't forget about his new aluminum channel French Cleat system with some bad azz 3D printed accessories that lock in place!! WTB Woodworking's latest giveaway is a $1000 shopping spree with Bits and Bits!! Register at wtbwoodworking.com/giveaway. And be sure to check out WTB Woodworking at 390 Pike Road, Unit 2, Huntingdon Valley, PA for lumber, slabs, woodworking tools and MORE!! Or shop online and earn yourself some Burkell bucks for every dollar you spend! Go to wtbwoodworking.com to shop online. Join us at WTB Woodworking for Mafell Day on Friday May 23rd from 8a-1pm. Demos, food, bevvies and giveaways.Help us support Grit-Grip!! A revolutionary new breed of double-sided sanding sponges that we all LOVE! Check it out at https://grit-grip.com/ and use code "shopsounds" at checkout to get a free sanding block!The Bourbon Blade: https://www.bourbonmoth.com/shop/p/the-bourbon-blade-original-pocket-chiselIf you'd like to support us on Patreon and have access to our irreverent aftershow, you can sign up here: https://www.patreon.com/shopsoundspodcastYou can find us on Instagram, Youtube, Facebook and TikTok (maybe): Bourbon Moth Woodworking and Keith Johnson Woodworking and Kodamari Design