Podcasts about Prompt

If you've ever struggled to explain what your business does or felt like your marketing should be converting better, join us for StoryBrand Your Business Live. It's a two-day workshop in Nashville this May 7-8, 2026 where Donald Miller will teach you how to build clear messaging that works. You'll also get direct feedback from StoryBrand Certified Guides so you walk out confident your message connects. Every workshop this year has filled up fast, and this one will too. Register now at http://storybrand.com/live       Chances are, you already know that story is everything when it comes to growing your business. Customers who feel invited into a narrative engage more, understand more, and buy more. The harder question has always been a practical one: where do these stories actually go, and how do you write them without starting from scratch every time?   In this episode, Donald Miller shares the exact 7-part AI prompt he uses with clients to transform flat copy into story-driven messaging, from landing pages to keynotes to product descriptions on Amazon. He walks through how to name the problem, agitate it emotionally, state a clear need, and only then introduce your product as the solution. Use this formula correctly, and you're not just writing better marketing. You're making it nearly impossible for your customer to look away.         Connect with Donald Miller on social media: https://www.instagram.com/donaldmiller/ https://www.facebook.com/donaldmillerwords http://StoryBrand.com   Building a StoryBrand 2.0 is now available! https://buildingastorybrand.com/?utm_medium=social&utm_source=youtube&utm_campaign=&utm_term=cb&utm_content=SB_Framework   Make your marketing and messaging work with the StoryBrand framework—and you can do that with the updated version of the book, Building a StoryBrand 2.0, now available!

Once a month we'll be dropping into the feed with a (totally optional) prompt for listener submissions. This month Mauricio is thinking about navigating the return of his cluster headaches.Submit your questions here! Hosted on Acast. See acast.com/privacy for more information.

Ich bin immer wieder erstaunt, wie wenige Menschen in der Finanzindustrie sich aktuell intensiv mit den Möglichkeiten von KI beschäftigen. Dabei ist künstliche Intelligenz für mich persönlich längst so unverzichtbar wie mein Smartphone. In dieser Folge spreche ich darüber, warum KI Chefsache ist, warum Datenschutz kein Feigenblatt sein darf und warum die Institute, die jetzt nicht loslegen, mittelfristig den Anschluss verlieren. Ich teile konkrete Anwendungsbeispiele aus meinem eigenen Arbeitsalltag und gebe dir zwei Gedanken-Nuggets mit, um sofort bessere Ergebnisse mit KI zu erzielen. Die vier Kernargumente auf einen Blick: 1. Die Einstiegshürde war noch nie so niedrig – Es gibt zu allen Tools Gratisversionen, hochwertigen Content auf YouTube, in Podcasts und Newslettern. Es braucht kein Budget zum Starten. Lade dir Claude, ChatGPT, Gemini und Grok herunter und teste sie parallel – so bekommst du ein Gefühl für die Unterschiede und Möglichkeiten. 2. Ohne Fantasie kein Automatisierungspotenzial – Wer sich nicht mit KI beschäftigt, kann auch nicht erkennen, wo Potenzial liegt. Ob Kreditprozesse, Kundenberatung, Beschwerdemanagement, interne Kommunikation oder Vorstandsvorlagen – überall gibt es Ansatzpunkte. Dafür brauchen Führungskräfte aber beides: Nähe zum Menschen und Nähe zu den Tätigkeiten. 3. Datenschutz ist kein Feigenblatt – Natürlich sind Kundendaten zu schützen, und die Sparkassen haben mit dem SKI-Pilot smart gehandelt. Aber anonymisierte Daten, synthetische Daten und Kunden-Avatare bieten unzählige datenschutzkonforme Möglichkeiten. Nutzt Datenschutz als Argument, aber nicht als Ausrede. 4. Es geht um Wettbewerbsfähigkeit – Wer heute wartet, verliert morgen den Anschluss. Ich bin überzeugt: In zwei Jahren wird es normal sein, digitale Teams aus KI-Agenten zu führen. Die Schere zwischen denen, die machen, und denen, die abwarten, wird jeden Monat größer. Praxisbeispiele aus der Folge Mein automatisierter Reisekostenagent: Ein kleiner KI-Agent liest meinen Kalender, weiß, wann ich wo war, und überführt alles in ein strukturiertes Excel-Sheet für die Buchhaltung. Was mich früher 20 Minuten im Monat gekostet hat, läuft jetzt vollautomatisch. Podcast-Produktion mit KI: Shownotes, Transkription, Klangbearbeitung, Schnitt – die Nachbearbeitungsaufwände haben sich um 90 Prozent reduziert. Kunden-Avatar für die Beratungsvorbereitung: Erstelle ein anonymisiertes Persona-Profil deines Kunden und führe ein Beratungsgespräch mit der KI. Du verbesserst gleichzeitig dein Prompting und deine Beratungsqualität – komplett datenschutzkonform. KI-gestützte Gesprächsvorbereitung für Führungskräfte: Simuliere ein Mitarbeitergespräch mit einem KI-Avatar, der die Persönlichkeit deines Teammitglieds imitiert. So kannst du dich auf schwierige Gespräche vorbereiten und neue Perspektiven gewinnen. Meine zwei Gedanken-Nuggets 1. Lass die KI sich selbst prompten:** Beginne deinen Prompt immer mit „Erstelle einen Prompt für…", beschreibe die Situation, und ende mit „…und stelle mir weitere Fragen, um den Prompt weiter zu verbessern." Die Ergebnisse verbessern sich massiv – und die KI denkt an Dinge, an die du nie gedacht hättest. 2. Analysiere die Wertschöpfung in deinen Bereichen:** Schau in deine Teams: Wo findet Wertschöpfung statt? Was ließe sich qualitativ verbessern? Was ließe sich automatisieren? So entwickelst du eine konkrete Vorstellung davon, was KI für deinen Bereich bedeutet. Aktionsimpulse Für Vorstände und Geschäftsführungen Macht KI zur Chefsache. Investiert in Premium-Lizenzen für eure Mitarbeitenden – 20 Euro pro Monat sind gut investiert in die Zukunftsfähigkeit eures Instituts. Sprecht offen über eure eigenen KI-Erfahrungen. Für Führungskräfte Verschafft euch Transparenz über die Aufgabenallokation in eurem Bereich. Fragt euch: Was machen meine Mitarbeitenden eigentlich den ganzen Tag? Und wo könnte ein KI-Agent Teil meines Teams werden? Nehmt euch 30 Minuten pro Woche, um neue Tools und Möglichkeiten zu er

KI-Sichtbarkeit im Sprint: Wie strukturierte Daten dein Business in ChatGPT & Suchmaschinen bringen   Die Spielregeln für Sichtbarkeit im Internet verändern sich gerade rasant. Klassische Suchmaschinen liefern immer weniger Klicks auf Websites, während KI-Systeme wie ChatGPT, Gemini oder Perplexity Antworten direkt generieren. Unternehmen stehen damit vor einer neuen Herausforderung: Wenn KI die Antworten liefert, muss dein Business Teil dieser Antworten werden. Genau darum ging es in dieser Podcastfolge. Am Beispiel eines kurzen KI-Sprints mit Sichtbarkeitsexperte Fedor Brotkorb wird deutlich, wie Unternehmen ihre Positionierung, Inhalte und technische Struktur so aufstellen können, dass KI-Modelle sie korrekt verstehen und ausspielen. Der entscheidende Punkt: Sichtbarkeit entsteht heute nicht mehr nur durch Keywords, sondern durch klare Positionierung, konsistente Inhalte und strukturierte Daten.   Fédor Brotkorb auf LinkedIn: LinkedIn - https://www.linkedin.com/in/brotkorb//   Sichtbarkeit beginnt nicht bei Technik, sondern bei Klarheit Viele Unternehmen starten beim Thema SEO sofort mit Tools, Plugins oder technischen Optimierungen. Doch der wichtigste Schritt kommt davor: Klarheit über die eigene Positionierung. Bevor Inhalte oder strukturierte Daten erstellt werden, muss beantwortet werden: Wofür steht dein Unternehmen? Wie möchtest du wahrgenommen werden? Welche Leistungen sollen KI-Systeme über dich verstehen? Wenn diese Fragen nicht sauber beantwortet sind, entsteht ein typisches Problem: Inkonsistente Beschreibungen auf verschiedenen Seiten. Eine Website formuliert etwas anders als LinkedIn, ein anderer Text beschreibt wiederum andere Schwerpunkte. Für Menschen mag das kein großes Problem sein – für KI-Systeme schon. KI arbeitet stark mit Kontexten und Zusammenhängen. Wenn diese nicht konsistent sind, sinkt die Wahrscheinlichkeit, dass dein Unternehmen als relevante Quelle erkannt wird. Strukturierte Daten: Die Sprache der KI verstehen Der nächste entscheidende Schritt ist die technische Übersetzung deiner Inhalte in eine Form, die Maschinen eindeutig verstehen können. Hier kommen strukturierte Daten ins Spiel, häufig im Format JSON-LD. Damit wird der KI nicht überlassen, Inhalte auf einer Website zu interpretieren. Stattdessen gibst du sie direkt vor. Mit sauber strukturierten Informationen steuerst du aktiv, welche Informationen über dich im Netz erscheinen – und wie KI-Modelle diese verstehen. KI-SEO funktioniert am besten über schnelle Sprints Ein besonders spannender Ansatz aus dieser Episode ist der Sprint-Gedanke. Statt monatelanger SEO-Projekte geht es darum, in kurzer Zeit erste sichtbare Effekte zu erzielen. Der Ablauf eines solchen Sprints kann zum Beispiel so aussehen: Selbstverständnis klären, Konsistenz herstellen, Strukturierte Daten implementieren und Validierung in KI-Systemen Der große Vorteil: Ergebnisse werden sofort sichtbar. Wenn ein Unternehmen plötzlich korrekt in KI-Antworten beschrieben wird, entsteht ein messbarer Effekt für Sichtbarkeit und Vertrauen. Fazit: Sichtbarkeit in der KI-Ära ist steuerbar Viele Unternehmer glauben noch, KI-Antworten entstehen zufällig. In Wirklichkeit lassen sie sich aktiv beeinflussen. Wer heute sichtbar bleiben will, sollte drei Dinge beachten: Formuliere eine klare Positionierung, sorge für konsistente Inhalte über alle Kanäle und strukturiere Daten speziell für Maschinen. Der entscheidende Perspektivwechsel: Websites werden nicht mehr nur für Menschen geschrieben, sondern auch für KI-Modelle strukturiert. Unternehmen, die das früh verstehen und umsetzen, sichern sich einen enormen Vorteil. Denn während viele noch versuchen, klassische SEO-Methoden zu optimieren, entscheiden künftig strukturierte Informationen darüber, wer in den Antworten der KI überhaupt vorkommt.     Noch mehr von den Koertings ...  Das KI-Café ... jede Woche Mittwoch (>350 Teilnehmer) von 08:30 bis 10:00 Uhr ... online via Zoom .. kostenlos und nicht umsonstJede Woche Mittwoch um 08:30 Uhr öffnet das KI-Café seine Online-Pforten ... wir lösen KI-Anwendungsfälle live auf der Bühne ... moderieren Expertenpanel zu speziellen Themen (bspw. KI im Recruiting ... KI in der Qualitätssicherung ... KI im Projektmanagement ... und vieles mehr) ... ordnen die neuen Entwicklungen in der KI-Welt ein und geben einen Ausblick ... und laden Experten ein für spezielle Themen ... und gehen auch mal in die Tiefe und durchdringen bestimmte Bereiche ganz konkret ... alles für dein Weiterkommen. Melde dich kostenfrei an ... www.koerting-institute.com/ki-cafe/   Mit jedem Prompt ein WOW! ... für Selbstständige und Unternehmer Ein klarer Leitfaden für Unternehmer, Selbstständige und Entscheider, die Künstliche Intelligenz nicht nur verstehen, sondern wirksam einsetzen wollen. Dieses Buch zeigt dir, wie du relevante KI-Anwendungsfälle erkennst und die KI als echten Sparringspartner nutzt, um diese Realität werden zu lassen. Praxisnah, mit echten Beispielen und vollständig umsetzungsorientiert. Das Buch ist ein Geschenk, nur Versandkosten von 9,95 € fallen an. Perfekt für Anfänger und Fortgeschrittene, die mit KI ihr Potenzial ausschöpfen möchten. Das Buch in deinen Briefkasten ... https://koerting-institute.com/shop/buch-mit-jedem-prompt-ein-wow/   Die KI-Lounge ... unsere Community für den Einstieg in die KI (>2800 Mitglieder) Die KI-Lounge ist eine Community für alle, die mehr über generative KI erfahren und anwenden möchten. Mitglieder erhalten exklusive monatliche KI-Updates, Experten-Interviews, Vorträge des KI-Speaker-Slams, KI-Café-Aufzeichnungen und einen 3-stündigen ChatGPT-Kurs. Tausche dich mit über 2800 KI-Enthusiasten aus, stelle Fragen und starte durch. Initiiert von Torsten & Birgit Koerting, bietet die KI-Lounge Orientierung und Inspiration für den Einstieg in die KI-Revolution. Hier findet der Austausch statt ... www.koerting-institute.com/ki-lounge/   Starte mit uns in die 1:1 Zusammenarbeit Wenn du direkt mit uns arbeiten und KI in deinem Business integrieren möchtest, buche dir einen Termin für ein persönliches Gespräch. Gemeinsam finden wir Antworten auf deine Fragen und finden heraus, wie wir dich unterstützen können. Klicke hier, um einen Termin zu buchen und deine Fragen zu klären. Buche dir jetzt deinen Termin mit uns ... www.koerting-institute.com/termin/   Weitere Impulse im Netflix Stil ... Wenn du auf der Suche nach weiteren spannenden Impulsen für deine Selbstständigkeit bist, dann gehe jetzt auf unsere Impulseseite und lass die zahlreichen spannenden Impulse auf dich wirken. Inspiration pur ... www.koerting-institute.com/impulse/   Die Koertings auf die Ohren ... Wenn dir diese Podcastfolge gefallen hat, dann höre dir jetzt noch weitere informative und spannende Folgen an ... über 440 Folgen findest du hier ... www.koerting-institute.com/podcast/   Wir freuen uns darauf, dich auf deinem Weg zu begleiten!    

Seth's just going to have to listen to this one to know what it's about for the social postsRate Us ⭐⭐⭐⭐⭐ on Apple Podcasts!Connect With The Show: Follow Us On Instagram Follow Us On Twitter Follow Us On TikTok Visit Us On The Web  

本集節目由《經理人》副總編輯張玉琦，邀請《經理人》數位內容主編林柏源，分享高效產出簡報的工作方法。【AI 簡報極速工作流】明明用 AI 做簡報，還是好花時間？教你學會顧問級架構 X 專業設計 X 商業說服力，省下7成製作時間！podcast 專屬折扣碼「AIwork」，再折 $400 元！快快點擊購課連結： https://lihi.cc/qJSzd 你是不是也遇過這種情況：拿到大神分享的 Prompt（提示詞）大全，貼上去卻跑不出你要的結果？或者 AI 幫你做出超美簡報，你卻覺得「這根本不像我的風格」而不敢拿去報告？本集《職場來一課》要帶大家誠實面對使用 AI 工具的挫折與焦慮，並告訴我們為什麼學會一套核心的「工作流（Workflow）」，比死背工具指令更重要。 本集重點： 1.小心生成式AI的邏輯幻覺與數字陷阱：AI很聰明，但有時會自作聰明。它可能會根據上下文，幫你「腦補」出一段看似通順、但完全不是你想表達的觀點；或者產出一個設計精美的圖表，但仔細一看，達成率的數字根本算錯，圓餅圖的比例也完全不對。適時地把手放回鍵盤上自己微調，才是最高效的做法。 2.零碎時間的「語音收集法」：做簡報最痛苦的就是在空白螢幕前從零開始。試著把「高強度發想」轉移到「零碎時間」！試著在等客戶、搭捷運時，把腦中凌亂的想法錄音丟給 AI。AI 不會嫌你語無倫次，它能幫你把散狀的思緒，梳理成有條理的簡報大綱，讓你回到電腦前能直接進入設計階段。 3.「Prompt 懶人包」的詛咒與 AI 帶來的「冒牌者症候群」：我們都很習慣四處蒐集「提示詞大全」，但只懂複製貼上，會扼殺我們思考的過程。這也是為什麼課程中堅持要花 10 分鐘解釋 YAML 格式的邏輯。此外，當一個平常不太擅長排版的人，突然用 AI 做出 90 分的精美簡報時，往往會產生「冒牌者症候群」，覺得「太華麗了，這不像我」。其實，你可以透過調整 Prompt 讓風格回歸低調素雅，或者只讓 AI 幫忙整理架構，設計由自己掌握，找到最舒服的人機協作比例。 Powered by Firstory Hosting

All speakers are announced at AIE EU, schedule coming soon. Join us there or in Miami with the renowned organizers of React Miami! Singapore CFP also open!We've called this out a few times over in AINews, but the overwhelming consensus in the Valley is that “the IDE is Dead”. In November it was just a gut feeling, but now we actually have data: even at the canonical “VSCode Fork” company, people are officially using more agents than tab autocomplete (the first wave of AI coding):Cursor has launched cloud agents for a few months now, and this specific launch is around Computer Use, which has come a long way since we first talked with Anthropic about it in 2024, and which Jonas productized as Autotab:We also take the opportunity to do a live demo, talk about slash commands and subagents, and the future of continual learning and personalized coding models, something that Sam previously worked on at New Computer. (The fact that both of these folks are top tier CEOs of their own startups that have now joined the insane talent density gathering at Cursor should also not be overlooked).Full Episode on YouTube!please like and subscribe!Timestamps00:00 Agentic Code Experiments00:53 Why Cloud Agents Matter02:08 Testing First Pillar03:36 Video Reviews Second Pillar04:29 Remote Control Third Pillar06:17 Meta Demos and Bug Repro13:36 Slash Commands and MCPs18:19 From Tab to Team Workflow31:41 Minimal Web UI Philosophy32:40 Why No File Editor34:38 Full Stack Cursor Debate36:34 Model Choice and Auto Routing38:34 Parallel Agents and Best Of N41:41 Subagents and Context Management44:48 Grind Mode and Throughput Future01:00:24 Cloud Agent Onboarding and MemoryTranscriptEP 77 - CURSOR - Audio version[00:00:00]Agentic Code ExperimentsSamantha: This is another experiment that we ran last year and didn't decide to ship at that time, but may come back to LM Judge, but one that was also agentic and could write code. So it wasn't just picking but also taking the learnings from two models or and models that it was looking at and writing a new diff.And what we found was that there were strengths to using models from different model providers as the base level of this process. Basically you could get almost like a synergistic output that was better than having a very unified like bottom model tier.Jonas: We think that over the coming months, the big unlock is not going to be one person with a model getting more done, like the water flowing faster and we'll be making the pipe much wider and so paralyzing more, whether that's swarms of agents or parallel agents, both of those are things that contribute to getting much more done in the same amount of time.Why Cloud Agents Matterswyx: This week, one of the biggest launches that Cursor's ever done is cloud agents. I think you, you had [00:01:00] cloud agents before, but this was like, you give cursor a computer, right? Yeah. So it's just basically they bought auto tab and then they repackaged it. Is that what's going on, or,Jonas: that's a big part of it.Yeah. Cloud agents already ran in their own computers, but they were sort of site reading code. Yeah. And those computers were not, they were like blank VMs typically that were not set up for the Devrel X for whatever repo the agents working on. One of the things that we talk about is if you put yourself in the model shoes and you were seeing tokens stream by and all you could do was cite read code and spit out tokens and hope that you had done the right thing,swyx: no chanceJonas: I'd be so bad.Like you obviously you need to run the code. And so that I think also is probably not that contrarian of a take, but no one has done that yet. And so giving the model the tools to onboard itself and then use full computer use end-to-end pixels in coordinates out and have the cloud computer with different apps in it is the big unlock that we've seen internally in terms of use usage of this going from, oh, we use it for little copy changes [00:02:00] to no.We're really like driving new features with this kind of new type of entech workflow. Alright, let's see it. Cool.Live Demo TourJonas: So this is what it looks like in cursor.com/agents. So this is one I kicked off a while ago. So on the left hand side is the chat. Very classic sort of agentic thing. The big new thing here is that the agent will test its changes.So you can see here it worked for half an hour. That is because it not only took time to write the tokens of code, it also took time to test them end to end. So it started Devrel servers iterate when needed. And so that's one part of it is like model works for longer and doesn't come back with a, I tried some things pr, but a I tested at pr that's ready for your review.One of the other intuition pumps we use there is if a human gave you a PR asked you to review it and you hadn't, they hadn't tested it, you'd also be annoyed because you'd be like, only ask me for a review once it's actually ready. So that's what we've done withTesting Defaults and Controlsswyx: simple question I wanted to gather out front.Some prs are way smaller, [00:03:00] like just copy change. Does it always do the video or is it sometimes,Jonas: Sometimes.swyx: Okay. So what's the judgment?Jonas: The model does it? So we we do some default prompting with sort. What types of changes to test? There's a slash command that people can do called slash no test, where if you do that, the model will not test,swyx: but the default is test.Jonas: The default is to be calibrated. So we tell it don't test, very simple copy changes, but test like more complex things. And then users can also write their agents.md and specify like this type of, if you're editing this subpart of my mono repo, never tested ‘cause that won't work or whatever.Videos and Remote ControlJonas: So pillar one is the model actually testing Pillar two is the model coming back with a video of what it did.We have found that in this new world where agents can end-to-end, write much more code, reviewing the code is one of these new bottlenecks that crop up. And so reviewing a video is not a substitute for reviewing code, but it is an entry point that is much, much easier to start with than glancing at [00:04:00] some giant diff.And so typically you kick one off you, it's done you come back and the first thing that you would do is watch this video. So this is a, video of it. In this case I wanted a tool tip over this button. And so it went and showed me what that looks like in, in this video that I think here, it actually used a gallery.So sometimes it will build storybook type galleries where you can see like that component in action. And so that's pillar two is like these demo videos of what it built. And then pillar number three is I have full remote control access to this vm. So I can go heat in here. I can hover things, I can type, I have full control.And same thing for the terminal. I have full access. And so that is also really useful because sometimes the video is like all you need to see. And oftentimes by the way, the video's not perfect, the video will show you, is this worth either merging immediately or oftentimes is this worth iterating with to get it to that final stage where I am ready to merge in.So I can go through some other examples where the first video [00:05:00] wasn't perfect, but it gave me confidence that we were on the right track and two or three follow-ups later, it was good to go. And then I also have full access here where some things you just wanna play around with. You wanna get a feel for what is this and there's no substitute to a live preview.And the VNC kind of VM remote access gives you that.swyx: Amazing What, sorry? What is VN. AndJonas: just the remote desktop. Remote desktop. Yeah.swyx: Sam, any other details that you always wanna call out?Samantha: Yeah, for me the videos have been super helpful. I would say, especially in cases where a common problem for me with agents and cloud agents beforehand was almost like under specification in my requests where our plan mode and going really back and forth and getting detailed implementation spec is a way to reduce the risk of under specification, but then similar to how human communication breaks down over time, I feel like you have this risk where it's okay, when I pull down, go to the triple of pulling down and like running this branch locally, I'm gonna see that, like I said, this should be a toggle and you have a checkbox and like, why didn't you get that detail?And having the video up front just [00:06:00] has that makes that alignment like you're talking about a shared artifact with the agent. Very clear, which has been just super helpful for me.Jonas: I can quickly run through some other Yes. Examples.Meta Agents and More DemosJonas: So this is a very front end heavy one. So one question I wasswyx: gonna say, is this only for frontJonas: end?Exactly. One question you might have is this only for front end? So this is another example where the thing I wanted it to implement was a better error message for saving secrets. So the cloud agents support adding secrets, that's part of what it needs to access certain systems. Part of onboarding that is giving access.This is cloud is working onswyx: cloud agents. Yes.Jonas: So this is a fun thing isSamantha: it can get super meta. ItJonas: can get super meta, it can start its own cloud agents, it can talk to its own cloud agents. Sometimes it's hard to wrap your mind around that. We have disabled, it's cloud agents starting more cloud agents. So we currently disallow that.Someday you might. Someday we might. Someday we might. So this actually was mostly a backend change in terms of the error handling here, where if the [00:07:00] secret is far too large, it would oh, this is actually really cool. Wow. That's the Devrel tools. That's the Devrel tools. So if the secret is far too large, we.Allow secrets above a certain size. We have a size limit on them. And the error message there was really bad. It was just some generic failed to save message. So I was like, Hey, we wanted an error message. So first cool thing it did here, zero prompting on how to test this. Instead of typing out the, like a character 5,000 times to hit the limit, it opens Devrel tools, writes js, or to paste into the input 5,000 characters of the letter A and then hit save, closes the Devrel tools, hit save and gets this new gets the new error message.So that looks like the video actually cut off, but here you can see the, here you can see the screenshot of the of the error message. What, so that is like frontend backend end-to-end feature to, to get that,swyx: yeah.Jonas: Andswyx: And you just need a full vm, full computer run everything.Okay. Yeah.Jonas: Yeah. So we've had versions of this. This is one of the auto tab lessons where we started that in 2022. [00:08:00] No, in 2023. And at the time it was like browser use, DOM, like all these different things. And I think we ended up very sort of a GI pilled in the sense that just give the model pixels, give it a box, a brain in a box is what you want and you want to remove limitations around context and capabilities such that the bottleneck should be the intelligence.And given how smart models are today, that's a very far out bottleneck. And so giving it its full VM and having it be onboarded with Devrel X set up like a human would is just been for us internally a really big step change in capability.swyx: Yeah I would say, let's call it a year ago the models weren't even good enough to do any of this stuff.SoSamantha: even six months ago. Yeah.swyx: So yeah what people have told me is like round about Sonder four fire is when this started being good enough to just automate fully by pixel.Jonas: Yeah, I think it's always a question of when is good enough. I think we found in particular with Opus 4 5, 4, 6, and Codex five three, that those were additional step [00:09:00] changes in the autonomy grade capabilities of the model to just.Go off and figure out the details and come back when it's done.swyx: I wanna appreciate a couple details. One 10 Stack Router. I see it. Yeah. I'm a big fan. Do you know any, I have to name the 10 Stack.Jonas: No.swyx: This just a random lore. Some buddy Sue Tanner. My and then the other thing if you switch back to the video.Jonas: Yeah.swyx: I wanna shout out this thing. Probably Sam did it. I don't knowJonas: the chapters.swyx: What is this called? Yeah, this is called Chapters. Yeah. It's like a Vimeo thing. I don't know. But it's so nice the design details, like the, and obviously a company called Cursor has to have a beautiful cursorSamantha: and it isswyx: the cursor.Samantha: Cursor.swyx: You see it branded? It's the cursor. Cursor, yeah. Okay, cool. And then I was like, I complained to Evan. I was like, okay, but you guys branded everything but the wallpaper. And he was like, no, that's a cursor wallpaper. I was like, what?Samantha: Yeah. Rio picked the wallpaper, I think. Yeah. The video.That's probably Alexi and yeah, a few others on the team with the chapters on the video. Matthew Frederico. There's been a lot of teamwork on this. It's a huge effort.swyx: I just, I like design details.Samantha: Yeah.swyx: And and then when you download it adds like a little cursor. Kind of TikTok clip. [00:10:00] Yes. Yes.So it's to make it really obvious is from Cursor,Jonas: we did the TikTok branding at the end. This was actually in our launch video. Alexi demoed the cloud agent that built that feature. Which was funny because that was an instance where one of the things that's been a consequence of having these videos is we use best of event where you run head to head different models on the same prompt.We use that a lot more because one of the complications with doing that before was you'd run four models and they would come back with some giant diff, like 700 lines of code times four. It's what are you gonna do? You're gonna review all that's horrible. But if you come back with four 22nd videos, yeah, I'll watch four 22nd videos.And then even if none of them is perfect, you can figure out like, which one of those do you want to iterate with, to get it over the line. Yeah. And so that's really been really fun.Bug Repro WorkflowJonas: Here's another example. That's we found really cool, which is we've actually turned since into a slash command as well slash [00:11:00] repro, where for bugs in particular, the model of having full access to the to its own vm, it can first reproduce the bug, make a video of the bug reproducing, fix the bug, make a video of the bug being fixed, like doing the same pattern workflow with obviously the bug not reproducing.And that has been the single category that has gone from like these types of bugs, really hard to reproduce and pick two tons of time locally, even if you try a cloud agent on it. Are you confident it actually fixed it to when this happens? You'll merge it in 90 seconds or something like that.So this is an example where, let me see if this is the broken one or the, okay, this is the fixed one. Okay. So we had a bug on cursor.com/agents where if you would attach images where remove them. Then still submit your prompt. They would actually still get attached to the prompt. Okay. And so here you can see Cursor is using, its full desktop by the way.This is one of the cases where if you just do, browse [00:12:00] use type stuff, you'll have a bad time. ‘cause now it needs to upload files. Like it just uses its native file viewer to do that. And so you can see here it's uploading files. It's going to submit a prompt and then it will go and open up. So this is the meta, this is cursor agent, prompting cursor agent inside its own environment.And so you can see here bug, there's five images attached, whereas when it's submitted, it only had one image.swyx: I see. Yeah. But you gotta enable that if you're gonna use cur agent inside cur.Jonas: Exactly. And so here, this is then the after video where it went, it does the same thing. It attaches images, removes, some of them hit send.And you can see here, once this agent is up, only one of the images is left in the attachments. Yeah.swyx: Beautiful.Jonas: Okay. So easy merge.swyx: So yeah. When does it choose to do this? Because this is an extra step.Jonas: Yes. I think I've not done a great job yet of calibrating the model on when to reproduce these things.Yeah. Sometimes it will do it of its own accord. Yeah. We've been conservative where we try to have it only do it when it's [00:13:00] quite sure because it does add some amount of time to how long it takes it to work on it. But we also have added things like the slash repro command where you can just do, fix this bug slash repro and then it will know that it should first make you a video of it actually finding and making sure it can reproduce the bug.swyx: Yeah. Yeah. One sort of ML topic this ties into is reward hacking, where while you write test that you update only pass. So first write test, it shows me it fails, then make you test pass, which is a classic like red green.Jonas: Yep.swyx: LikeJonas: A-T-D-D-T-D-Dswyx: thing.No, very cool. Was that the last demo? Is thereJonas: Yeah.Anything I missed on the demos or points that you think? I think thatSamantha: covers it well. Yeah.swyx: Cool. Before we stop the screen share, can you gimme like a, just a tour of the slash commands ‘cause I so God ready. Huh, what? What are the good ones?Samantha: Yeah, we wanna increase discoverability around this too.I think that'll be like a future thing we work on. Yeah. But there's definitely a lot of good stuff nowJonas: we have a lot of internal ones that I think will not be that interesting. Here's an internal one that I've made. I don't know if anyone else at Cursor uses this one. Fix bb.Samantha: I've never heard of it.Jonas: Yeah.[00:14:00]Fix Bug Bot. So this is a thing that we want to integrate more tightly on. So you made it forswyx: yourself.Jonas: I made this for myself. It's actually available to everyone in the team, but yeah, no one knows about it. But yeah, there will be Bug bot comments and so Bug Bot has a lot of cool things. We actually just launched Bug Bot Auto Fix, where you can click a button and or change a setting and it will automatically fix its own things, and that works great in a bunch of cases.There are some cases where having the context of the original agent that created the PR is really helpful for fixing the bugs, because it might be like, oh, the bug here is that this, is a regression and actually you meant to do something more like that. And so having the original prompt and all of the context of the agent that worked on it, and so here I could just do, fix or we used to be able to do fixed PB and it would do that.No test is another one that we've had. Slash repro is in here. We mentioned that one.Samantha: One of my favorites is cloud agent diagnosis. This is one that makes heavy use of the Datadog MCP. Okay. And I [00:15:00] think Nick and David on our team wrote, and basically if there is a problem with a cloud agent we'll spin up a bunch of subs.Like a singleswyx: instance.Samantha: Yeah. We'll take the ideas and argument and spin up a bunch of subagents using the Datadog MCP to explore the logs and find like all of the problems that could have happened with that. It takes the debugging time, like from potentially you can do quick stuff quickly with the Datadog ui, but it takes it down to, again, like a single agent call as opposed to trolling through logs yourself.Jonas: You should also talk about the stuff we've done with transcripts.Samantha: Yes. Also so basically we've also done some things internally. There'll be some versions of this as we ship publicly soon, where you can spit up an agent and give it access to another agent's transcript to either basically debug something that happened.So act as an external debugger. I see. Or continue the conversation. Almost like forking it.swyx: A transcript includes all the chain of thought for the 11 minutes here. 45 minutes there.Samantha: Yeah. That way. Exactly. So basically acting as a like secondary agent that debugs the first, so we've started to push more andswyx: they're all the same [00:16:00] code.It is just the different prompts, but the sa the same.Samantha: Yeah. So basically same cloud agent infrastructure and then same harness. And then like when we do things like include, there's some extra infrastructure that goes into piping in like an external transcript if we include it as an attachment.But for things like the cloud agent diagnosis, that's mostly just using the Datadog MCP. ‘Cause we also launched CPS along with along with this cloud agent launch, launch support for cloud agent cps.swyx: Oh, that was drawn out.Jonas: We won't, we'll be doing a bigger marketing moment for it next week, but, and you can now use CPS andswyx: People will listen to it as well.Yeah,Jonas: they'llSamantha: be ahead of the third. They'll be ahead. And I would I actually don't know if the Datadog CP is like publicly available yet. I realize this not sure beta testing it, but it's been one of my favorites to use. Soswyx: I think that one's interesting for Datadog. ‘cause Datadog wants to own that site.Interesting with Bits. I don't know if you've tried bits.Samantha: I haven't tried bits.swyx: Yeah.Jonas: That's their cloud agentswyx: product. Yeah. Yeah. They want to be like we own your logs and give us our, some part of the, [00:17:00] self-healing software that everyone wants. Yeah. But obviously Cursor has a strong opinion on coding agents and you, you like taking away from the which like obviously you're going to do, and not every company's like Cursor, but it's interesting if you're a Datadog, like what do you do here?Do you expose your logs to FDP and let other people do it? Or do you try to own that it because it's extra business for you? Yeah. It's like an interesting one.Samantha: It's a good question. All I know is that I love the Datadog MCP,Jonas: And yeah, it is gonna be no, no surprise that people like will demand it, right?Samantha: Yeah.swyx: It's, it's like anysystemswyx: of record company like this, it's like how much do you give away? Cool. I think that's that for the sort of cloud agents tour. Cool. And we just talk about like cloud agents have been when did Kirsten loves cloud agents? Do you know, in JuneJonas: last year.swyx: June last year. So it's been slowly develop the thing you did, like a bunch of, like Michael did a post where himself, where he like showed this chart of like ages overtaking tap. And I'm like, wow, this is like the biggest transition in code.Jonas: Yeah.swyx: Like in, in [00:18:00] like the last,Jonas: yeah. I think that kind of got turned out.Yeah. I think it's a very interest,swyx: not at all. I think it's been highlighted by our friend Andre Kati today.Jonas: Okay.swyx: Talk more about it. What does it mean? Yeah. Is I just got given like the cursor tab key.Jonas: Yes. Yes.swyx: That's that'sSamantha: cool.swyx: I know, but it's gonna be like put in a museum.Jonas: It is.Samantha: I have to say I haven't used tab a little bit myself.Jonas: Yeah. I think that what it looks like to code with AI code generally creates software, even if you want to go higher level. Is changing very rapidly. No, not a hot take, but I think from our vendor's point at Cursor, I think one of the things that is probably underappreciated from the outside is that we are extremely self-aware about that fact and Kerscher, got its start in phase one, era one of like tab and auto complete.And that was really useful in its time. But a lot of people start looking at text files and editing code, like we call it hand coding. Now when you like type out the actual letters, it'sswyx: oh that's cute.Jonas: Yeah.swyx: Oh that's cute.Jonas: You're so boomer. So boomer. [00:19:00] And so that I think has been a slowly accelerating and now in the last few months, rapidly accelerating shift.And we think that's going to happen again with the next thing where the, I think some of the pains around tab of it's great, but I actually just want to give more to the agent and I don't want to do one tab at a time. I want to just give it a task and it goes off and does a larger unit of work and I can.Lean back a little bit more and operate at that higher level of abstraction that's going to happen again, where it goes from agents handing you back diffs and you're like in the weeds and giving it, 32nd to three minute tasks, to, you're giving it, three minute to 30 minute to three hour tasks and you're getting back videos and trying out previews rather than immediately looking at diffs every single time.swyx: Yeah. Anything to add?Samantha: One other shift that I've noticed as our cloud agents have really taken off internally has been a shift from primarily individually driven development to almost this collaborative nature of development for us, slack is actually almost like a development on [00:20:00] Id basically.So Iswyx: like maybe don't even build a custom ui, like maybe that's like a debugging thing, but actually it's that.Samantha: I feel like, yeah, there's still so much to left to explore there, but basically for us, like Slack is where a lot of development happens. Like we will have these issue channels or just like this product discussion channels where people are always at cursing and that kicks off a cloud agent.And for us at least, we have team follow-ups enabled. So if Jonas kicks off at Cursor in a thread, I can follow up with it and add more context. And so it turns into almost like a discussion service where people can like collaborate on ui. Oftentimes I will kick off an investigation and then sometimes I even ask it to get blame and then tag people who should be brought in. ‘cause it can tag people in Slack and then other people will comeswyx: in, can tag other people who are not involved in conversation. Yes. Can just do at Jonas if say, was talking to,Samantha: yeah.swyx: That's cool. You should, you guys should make a big good deal outta that.Samantha: I know. It's a lot to, I feel like there's a lot more to do with our slack surface area to show people externally. But yeah, basically like it [00:21:00] can bring other people in and then other people can also contribute to that thread and you can end up with a PR again, with the artifacts visible and then people can be like, okay, cool, we can merge this.So for us it's like the ID is almost like moving into Slack in some ways as well.swyx: I have the same experience with, but it's not developers, it's me. Designer salespeople.Samantha: Yeah.swyx: So me on like technical marketing, vision, designer on design and then salespeople on here's the legal source of what we agreed on.And then they all just collaborate and correct. The agents,Jonas: I think that we found when these threads is. The work that is left, that the humans are discussing in these threads is the nugget of what is actually interesting and relevant. It's not the boring details of where does this if statement go?It's do we wanna ship this? Is this the right ux? Is this the right form factor? Yeah. How do we make this more obvious to the user? It's like those really interesting kind of higher order questions that are so easy to collaborate with and leave the implementation to the cloud agent.Samantha: Totally. And no more discussion of am I gonna do this? Are you [00:22:00] gonna do this cursor's doing it? You just have to decide. You like it.swyx: Sometimes the, I don't know if there's a, this probably, you guys probably figured this out already, but since I, you need like a mute button. So like cursor, like we're going to take this offline, but still online.But like we need to talk among the humans first. Before you like could stop responding to everything.Jonas: Yeah. This is a design decision where currently cursor won't chime in unless you explicitly add Mention it. Yeah. Yeah.Samantha: So it's not always listening.Yeah.Jonas: I can see all the intermediate messages.swyx: Have you done the recursive, can cursor add another cursor or spawn another cursor?Samantha: Oh,Jonas: we've done some versions of this.swyx: Because, ‘cause it can add humans.Jonas: Yes. One of the other things we've been working on that's like an implication of generating the code is so easy is getting it to production is still harder than it should be.And broadly, you solve one bottleneck and three new ones pop up. Yeah. And so one of the new bottlenecks is getting into production and we have a like joke internally where you'll be talking about some feature and someone says, I have a PR for that. Which is it's so easy [00:23:00] to get to, I a PR for that, but it's hard still relatively to get from I a PR for that to, I'm confident and ready to merge this.And so I think that over the coming weeks and months, that's a thing that we think a lot about is how do we scale up compute to that pipeline of getting things from a first draft An agent did.swyx: Isn't that what Merge isn't know what graphite's for, likeJonas: graphite is a big part of that. The cloud agent testingswyx: Is it fully integrated or still different companiesJonas: working on I think we'll have more to share there in the future, but the goal is to have great end-to-end experience where Cursor doesn't just help you generate code tokens, it helps you create software end-to-end.And so review is a big part of that, that I think especially as models have gotten much better at writing code, generating code, we've felt that relatively crop up more,swyx: sorry this is completely unplanned, but like there I have people arguing one to you need ai. To review ai and then there is another approach, thought school of thought where it's no, [00:24:00] reviews are dead.Like just show me the video. It's it like,Samantha: yeah. I feel again, for me, the video is often like alignment and then I often still wanna go through a code review process.swyx: Like still look at the files andSamantha: everything. Yeah. There's a spectrum of course. Like the video, if it's really well done and it does like fully like test everything, you can feel pretty competent, but it's still helpful to, to look at the code.I make hep pay a lot of attention to bug bot. I feel like Bug Bot has been a great really highly adopted internally. We often like, won't we tell people like, don't leave bug bot comments unaddressed. ‘cause we have such high confidence in it. So people always address their bug bot comments.Jonas: Once you've had two cases where you merged something and then you went back later, there was a bug in it, you merged, you went back later and you were like, ah, bug Bot had found that I should have listened to Bug Bot.Once that happens two or three times, you learn to wait for bug bot.Samantha: Yeah. So I think for us there's like that code level review where like it's looking at the actual code and then there's like the like feature level review where you're looking at the features. There's like a whole number of different like areas.There'll probably eventually be things like performance level review, security [00:25:00] review, things like that where it's like more more different aspects of how this feature might affect your code base that you want to potentially leverage an agent to help with.Jonas: And some of those like bug bot will be synchronous and you'll typically want to wait on before you merge.But I think another thing that we're starting to see is. As with cloud agents, you scale up this parallelism and how much code you generate. 10 person startups become, need the Devrel X and pipelines that a 10,000 person company used to need. And that looks like a lot of the things I think that 10,000 person companies invented in order to get that volume of software to production safely.So that's things like, release frequently or release slowly, have different stages where you release, have checkpoints, automated ways of detecting regressions. And so I think we're gonna need stacks merg stack diffs merge queues. Exactly. A lot of those things are going to be importantswyx: forward with.I think the majority of people still don't know what stack stacks are. And I like, I have many friends in Facebook and like I, I'm pretty friendly with graphite. I've just, [00:26:00] I've never needed it ‘cause I don't work on that larger team and it's just like democratization of no, only here's what we've already worked out at very large scale and here's how you can, it benefits you too.Like I think to me, one of the beautiful things about GitHub is that. It's actually useful to me as an individual solo developer, even though it's like actually collaboration software.Jonas: Yep.swyx: And I don't think a lot of Devrel tools have figured that out yet. That transition from like large down to small.Jonas: Yeah. Kers is probably an inverse story.swyx: This is small down toJonas: Yeah. Where historically Kers share, part of why we grew so quickly was anyone on the team could pick it up and in fact people would pick it up, on the weekend for their side project and then bring it into work. ‘cause they loved using it so much.swyx: Yeah.Jonas: And I think a thing that we've started working on a lot more, not us specifically, but as a company and other folks at Cursor, is making it really great for teams and making it the, the 10th person that starts using Cursor in a team. Is immediately set up with things like, we launched Marketplace recently so other people can [00:27:00] configure what CPS and skills like plugins.So skills and cps, other people can configure that. So that my cursor is ready to go and set up. Sam loves the Datadog, MCP and Slack, MCP you've also been using a lot butSamantha: also pre-launch, but I feel like it's so good.Jonas: Yeah, my cursor should be configured if Sam feels strongly that's just amazing and required.swyx: Is it automatically shared or you have to go and.Jonas: It depends on the MCP. So some are obviously off per user. Yeah. And so Sam can't off my cursor with my Slack MCP, but some are team off and those can be set up by admins.swyx: Yeah. Yeah. That's cool. Yeah, I think, we had a man on the pod when cursor was five people, and like everyone was like, okay, what's the thing?And then it's usually something teams and org and enterprise, but it's actually working. But like usually at that stage when you're five, when you're just a vs. Code fork it's like how do you get there? Yeah. Will people pay for this? People do pay for it.Jonas: Yeah. And I think for cloud agents, we expect.[00:28:00]To have similar kind of PLG things where I think off the bat we've seen a lot of adoption with kind of smaller teams where the code bases are not quite as complex to set up. Yes. If you need some insane docker layer caching thing for builds not to take two hours, that's going to take a little bit longer for us to be able to support that kind of infrastructure.Whereas if you have front end backend, like one click agents can install everything that they need themselves.swyx: This is a good chance for me to just ask some technical sort of check the box questions. Can I choose the size of the vm?Jonas: Not yet. We are planning on adding that. Weswyx: have, this is obviously you want like LXXL, whatever, right?Like it's like the Amazon like sort menu.Jonas: Yes, exactly. We'll add that.swyx: Yeah. In some ways you have to basically become like a EC2, almost like you rent a box.Jonas: You rent a box. Yes. We talk a lot about brain in a box. Yeah. So cursor, we want to be a brain in a box,swyx: but is the mental model different? Is it more serverless?Is it more persistent? Is. Something else.Samantha: We want it to be a bit persistent. The desktop should be [00:29:00] something you can return to af even after some days. Like maybe you go back, they're like still thinking about a feature for some period of time. So theswyx: full like sus like suspend the memory and bring it back and then keep going.Samantha: Exactly.swyx: That's an interesting one because what I actually do want, like from a manna and open crawl, whatever, is like I want to be able to log in with my credentials to the thing, but not actually store it in any like secret store, whatever. ‘cause it's like this is the, my most sensitive stuff.Yeah. This is like my email, whatever. And just have it like, persist to the image. I don't know how it was hood, but like to rehydrate and then just keep going from there. But I don't think a lot of infra works that way. A lot of it's stateless where like you save it to a docker image and then it's only whatever you can describe in a Docker file and that's it.That's the only thing you can cl multiple times in parallel.Jonas: Yeah. We have a bunch of different ways of setting them up. So there's a dockerfile based approach. The main default way is actually snapshottingswyx: like a Linux vmJonas: like vm, right? You run a bunch of install commands and then you snapshot more or less the file system.And so that gets you set up for everything [00:30:00] that you would want to bring a new VM up from that template basically.swyx: Yeah.Jonas: And that's a bit distinct from what Sam was talking about with the hibernating and re rehydrating where that is a full memory snapshot as well. So there, if I had like the browser open to a specific page and we bring that back, that page will still be there.swyx: Was there any discussion internally and just building this stuff about every time you shoot a video it's actually you show a little bit of the desktop and the browser and it's not necessary if you just show the browser. If, if you know you're just demoing a front end application.Why not just show the browser, right? Like it Yeah,Samantha: we do have some panning and zooming. Yeah. Like it can decide that when it's actually recording and cutting the video to highlight different things. I think we've played around with different ways of segmenting it and yeah. There's been some different revs on it for sure.Jonas: Yeah. I think one of the interesting things is the version that you see now in cursor.com actually is like half of what we had at peak where we decided to unshift or unshipped quite a few things. So two of the interesting things to talk about, one is directly an answer to your [00:31:00] question where we had native browser that you would have locally, it was basically an iframe that via port forwarding could load the URL could talk to local host in the vm.So that gets you basically, so inswyx: your machine's browser,likeJonas: in your local browser? Yeah. You would go to local host 4,000 and that would get forwarded to local host 4,000 in the VM via port forward. We unshift that like atswyx: Eng Rock.Jonas: Like an Eng Rock. Exactly. We unshift that because we felt that the remote desktop was sufficiently low latency and more general purpose.So we build Cursor web, but we also build Cursor desktop. And so it's really useful to be able to have the full spectrum of things. And even for Cursor Web, as you saw in one of the examples, the agent was uploading files and like I couldn't upload files and open the file viewer if I only had access to the browser.And we've thought a lot about, this might seem funny coming from Cursor where we started as this, vs. Code Fork and I think inherited a lot of amazing things, but also a lot [00:32:00] of legacy UI from VS Code.Minimal Web UI SurfacesJonas: And so with the web UI we wanted to be very intentional about keeping that very minimal and exposing the right sum of set of primitive sort of app surfaces we call them, that are shared features of that cloud.Environment that you and the agent both use. So agent uses desktop and controls it. I can use desktop and controlled agent runs terminal commands. I can run terminal commands. So that's how our philosophy around it. The other thing that is maybe interesting to talk about that we unshipped is and we may, both of these things we may reship and decide at some point in the future that we've changed our minds on the trade offs or gotten it to a point where, putswyx: it out there.Let users tell you they want it. Exactly. Alright, fine.Why No File EditorJonas: So one of the other things is actually a files app. And so we used to have the ability at one point during the process of testing this internally to see next to, I had GID desktop and terminal on the right hand side of the tab there earlier to also have a files app where you could see and edit files.And we actually felt that in some [00:33:00] ways, by restricting and limiting what you could do there, people would naturally leave more to the agent and fall into this new pattern of delegating, which we thought was really valuable. And there's currently no way in Cursor web to edit these files.swyx: Yeah. Except you like open up the PR and go into GitHub and do the thing.Jonas: Yeah.swyx: Which is annoying.Jonas: Just tell the agent,swyx: I have criticized open AI for this. Because Open AI is Codex app doesn't have a file editor, like it has file viewer, but isn't a file editor.Jonas: Do you use the file viewer a lot?swyx: No. I understand, but like sometimes I want it, the one way to do it is like freaking going to no, they have a open in cursor button or open an antigravity or, opening whatever and people pointed that.So I was, I was part of the early testers group people pointed that and they were like, this is like a design smell. It's like you actually want a VS. Code fork that has all these things, but also a file editor. And they were like, no, just trust us.Jonas: Yeah. I think we as Cursor will want to, as a product, offer the [00:34:00] whole spectrum and so you want to be able to.Work at really high levels of abstraction and double click and see the lowest level. That's important. But I also think that like you won't be doing that in Slack. And so there are surfaces and ways of interacting where in some cases limiting the UX capabilities makes for a cleaner experience that's more simple and drives people into these new patterns where even locally we kicked off joking about this.People like don't really edit files, hand code anymore. And so we want to build for where that's going and not where it's beenswyx: a lot of cool stuff. And Okay. I have a couple more.Full Stack Hosting Debateswyx: So observations about the design elements about these things. One of the things that I'm always thinking about is cursor and other peers of cursor start from like the Devrel tools and work their way towards cloud agents.Other people, like the lovable and bolts of the world start with here's like the vibe code. Full cloud thing. They were already cloud edges before anyone else cloud edges and we will give you the full deploy platform. So we own the whole loop. We own all the infrastructure, we own, we, we have the logs, we have the the live site, [00:35:00] whatever.And you can do that cycle cursor doesn't own that cycle even today. You don't have the versal, you don't have the, you whatever deploy infrastructure that, that you're gonna have, which gives you powers because anyone can use it. And any enterprise who, whatever you infra, I don't care. But then also gives you limitations as to how much you can actually fully debug end to end.I guess I'm just putting out there that like is there a future where there's like full stack cursor where like cursor apps.com where like I host my cursor site this, which is basically a verse clone, right? I don't know.Jonas: I think that's a interesting question to be asking, and I think like the logic that you laid out for how you would get there is logic that I largely agree with.swyx: Yeah. Yeah.Jonas: I think right now we're really focused on what we see as the next big bottleneck and because things like the Datadog MCP exist, yeah. I don't think that the best way we can help our customers ship more software. Is by building a hosting solution right now,swyx: by the way, these are things I've actually discussed with some of the companies I just named.Jonas: Yeah, for sure. Right now, just this big bottleneck is getting the code out there and also [00:36:00] unlike a lovable in the bolt, we focus much more on existing software. And the zero to one greenfield is just a very different problem. Imagine going to a Shopify and convincing them to deploy on your deployment solution.That's very different and I think will take much longer to see how that works. May never happen relative to, oh, it's like a zero to one app.swyx: I'll say. It's tempting because look like 50% of your apps are versal, superb base tailwind react it's the stack. It's what everyone does.So I it's kinda interesting.Jonas: Yeah.Model Choice and Auto Routingswyx: The other thing is the model select dying. Right now in cloud agents, it's stuck down, bottom left. Sure it's Codex High today, but do I care if it's suddenly switched to Opus? Probably not.Samantha: We definitely wanna give people a choice across models because I feel like it, the meta change is very frequently.I was a big like Opus 4.5 Maximalist, and when codex 5.3 came out, I hard, hard switch. So that's all I use now.swyx: Yeah. Agreed. I don't know if, but basically like when I use it in Slack, [00:37:00] right? Cursor does a very good job of exposing yeah. Cursors. If people go use it, here's the model we're using.Yeah. Here's how you switch if you want. But otherwise it's like extracted away, which is like beautiful because then you actually, you should decide.Jonas: Yeah, I think we want to be doing more with defaults.swyx: Yeah.Jonas: Where we can suggest things to people. A thing that we have in the editor, the desktop app is auto, which will route your request and do things there.So I think we will want to do something like that for cloud agents as well. We haven't done it yet. And so I think. We have both people like Sam, who are very savvy and want know exactly what model they want, and we also have people that want us to pick the best model for them because we have amazing people like Sam and we, we are the experts.Yeah. We have both the traffic and the internal taste and experience to know what we think is best.swyx: Yeah. I have this ongoing pieces of agent lab versus model lab. And to me, cursor and other companies are example of an agent lab that is, building a new playbook that is different from a model lab where it's like very GP heavy Olo.So obviously has a research [00:38:00] team. And my thesis is like you just, every agent lab is going to have a router because you're going to be asked like, what's what. I don't keep up to every day. I'm not a Sam, I don't keep up every day for using you as sample the arm arbitrator of taste. Put me on CRI Auto.Is it free? It's not free.Jonas: Auto's not free, but there's different pricing tiers. Yeah.swyx: Put me on Chris. You decide from me based on all the other people you know better than me. And I think every agent lab should basically end up doing this because that actually gives you extra power because you like people stop carrying or having loyalty with one lab.Jonas: Yeah.Best Of N and Model CouncilsJonas: Two other maybe interesting things that I don't know how much they're on your radar are one the best event thing we mentioned where running different models head to head is actually quite interesting becauseswyx: which exists in cursor.Jonas: That exists in cur ID and web. So the problem is where do you run them?swyx: Okay.Jonas: And so I, I can share my screen if that's interesting. Yeahinteresting.swyx: Yeah. Yeah. Obviously parallel agents, very popal.Jonas: Yes, exactly. Parallel agentsswyx: in you mind. Are they the same thing? Best event and parallel agents? I don't want to [00:39:00] put words in your mouth.Jonas: Best event is a subset of parallel agents where they're running on the same prompt.That would be my answer. So this is what that looks like. And so here in this dropdown picker, I can just select multiple models.swyx: Yeah.Jonas: And now if I do a prompt, I'm going to do something silly. I am running these five models.swyx: Okay. This is this fake clone, of course. The 2.0 yeah.Jonas: Yes, exactly. But they're running so the cursor 2.0, you can do desktop or cloud.So this is cloud specifically where the benefit over work trees is that they have their own VMs and can run commands and won't try to kill ports that the other one is running. Which are some of the pains. These are allswyx: called work trees?Jonas: No, these are all cloud agents with their own VMs.swyx: Okay. ButJonas: When you do it locally, sometimes people do work trees and that's been the main way that people have set out parallel so far.I've gotta say.swyx: That's so confusing for folks.Jonas: Yeah.swyx: No one knows what work trees are.Jonas: Exactly. I think we're phasing out work trees.swyx: Really.Jonas: Yeah.swyx: Okay.Samantha: But yeah. And one other thing I would say though on the multimodel choice, [00:40:00] so this is another experiment that we ran last year and the decide to ship at that time but may come back to, and there was an interesting learning that's relevant for, these different model providers. It was something that would run a bunch of best of ends but then synthesize and basically run like a synthesizer layer of models. And that was other agents that would take LM Judge, but one that was also agentic and could write code. So it wasn't just picking but also taking the learnings from two models or, and models that it was looking at and writing a new diff.And what we found was that at the time at least, there were strengths to using models from different model providers as the base level of this process. Like basically you could get almost like a synergistic output that was better than having a very unified, like bottom model tier. So it was really interesting ‘cause it's like potentially, even though even in the future when you have like maybe one model as ahead of the other for a little bit, there could be some benefit from having like multiple top tier models involved in like a [00:41:00] model swarm or whatever agent Swarm that you're doing, that they each have strengths and weaknesses.Yeah.Jonas: Andre called this the council, right?Samantha: Yeah, exactly. We actually, oh, that's another internal command we have that Ian wrote slash council. Oh, and they some, yeah.swyx: Yes. This idea is in various forms everywhere. And I think for me, like for me, the productization of it, you guys have done yeah, like this is very flexible, but.If I were to add another Yeah, what your thing is on here it would be too much. I what, let's say,Samantha: Ideally it's all, it's something that the user can just choose and it all happens under the hood in a way where like you just get the benefit of that process at the end and better output basically, but don't have to get too lost in the complexity of judging along the way.Jonas: Okay.Subagents for ContextJonas: Another thing on the many agents, on different parallel agents that's interesting is an idea that's been around for a while as well that has started working recently is subagents. And so this is one other way to get agents of the different prompts and different goals and different models, [00:42:00] different vintages to work together.Collaborate and delegate.swyx: Yeah. I'm very like I like one of my, I always looking for this is the year of the blah, right? Yeah. I think one of the things on the blahs is subs. I think this is of but I haven't used them in cursor. Are they fully formed or how do I honestly like an intro because do I form them from new every time?Do I have fixed subagents? How are they different for slash commands? There's all these like really basic questions that no one stops to answer for people because everyone's just like too busy launching. We have toSamantha: honestly, you could, you can see them in cursor now if you just say spin up like 50 subagents to, so cursor definesswyx: what Subagents.Yeah.Samantha: Yeah. So basically I think I shouldn't speak for the whole subagents team. This is like a different team that's been working on this, but our thesis or thing that we saw internally is that like they're great for context management for kind of long running threads, or if you're trying to just throw more compute at something.We have strongly used, almost like a generic task interface where then the main agent can define [00:43:00] like what goes into the subagent. So if I say explore my code base, it might decide to spin up an explore subagent and or might decide to spin up five explore subagent.swyx: But I don't get to set what those subagent are, right?It's all defined by a model.Samantha: I think. I actually would have to refresh myself on the sub agent interface.Jonas: There are some built-in ones like the explore subagent is free pre-built. But you can also instruct the model to use other subagents and then it will. And one other example of a built-in subagent is I actually just kicked one off in cursor and I can show you what that looks like.swyx: Yes. Because I tried to do this in pure prompt space.Jonas: So this is the desktop app? Yeah. Yeah. And that'sswyx: all you need to do, right? Yeah.Jonas: That's all you need to do. So I said use a sub agent to explore and I think, yeah, so I can even click in and see what the subagent is working on here. It ran some fine command and this is a composer under the hood.Even though my main model is Opus, it does smart routing to take, like in this instance the explorer sort of requires reading a ton of things. And so a faster model is really useful to get an [00:44:00] answer quickly, but that this is what subagent look like. And I think we wanted to do a lot more to expose hooks and ways for people to configure these.Another example of a cus sort of builtin subagent is the computer use subagent in the cloud agents, where we found that those trajectories can be long and involve a lot of images obviously, and execution of some testing verification task. We wanted to use that models that are particularly good at that.So that's one reason to use subagents. And then the other reason to use subagents is we want contexts to be summarized reduced down at a subagent level. That's a really neat boundary at which to compress that rollout and testing into a final message that agent writes that then gets passed into the parent rather than having to do some global compaction or something like that.swyx: Awesome. Cool. While we're in the subagents conversation, I can't do a cursor conversation and not talk about listen stuff. What is that? What is what? He built a browser. He built an os. Yes. And he [00:45:00] experimented with a lot of different architectures and basically ended up reinventing the software engineer org chart.This is all cool, but what's your take? What's, is there any hole behind the side? The scenes stories about that kind of, that whole adventure.Samantha: Some of those experiments have found their way into a feature that's available in cloud agents now, the long running agent mode internally, we call it grind mode.And I think there's like some hint of grind mode accessible in the picker today. ‘cause you can do choose grind until done. And so that was really the result of experiments that Wilson started in this vein where he I think the Ralph Wigga loop was like floating around at the time, but it was something he also independently found and he was experimenting with.And that was what led to this product surface.swyx: And it is just simple idea of have criteria for completion and do not. Until you complete,Samantha: there's a bit more complexity as well in, in our implementation. Like there's a specific, you have to start out by aligning and there's like a planning stage where it will work with you and it will not get like start grind execution mode until it's decided that the [00:46:00] plan is amenable to both of you.Basically,swyx: I refuse to work until you make me happy.Jonas: We found that it's really important where people would give like very underspecified prompt and then expect it to come back with magic. And if it's gonna go off and work for three minutes, that's one thing. When it's gonna go off and work for three days, probably should spend like a few hours upfront making sure that you have communicated what you actually want.swyx: Yeah. And just to like really drive from the point. We really mean three days that No, noJonas: human. Oh yeah. We've had three day months innovation whatsoever.Samantha: I don't know what the record is, but there's been a long time with the grantsJonas: and so the thing that is available in cursor. The long running agent is if you wanna think about it, very abstractly that is like one worker node.Whereas what built the browser is a society of workers and planners and different agents collaborating. Because we started building the browser with one worker node at the time, that was just the agent. And it became one worker node when we realized that the throughput of the system was not where it needed to be [00:47:00] to get something as large of a scale as the browser done.swyx: Yeah.Jonas: And so this has also become a really big mental model for us with cloud, cloud agents is there's the classic engineering latency throughput trade-offs. And so you know, the code is water flowing through a pipe. The, we think that over the coming months, the big unlock is not going to be one person with a model getting more done, like the water flowing faster and we'll be making the pipe much wider and so ing more, whether that's swarms of agents or parallel agents, both of those are things that contribute to getting.Much more done in the same amount of time, but any one of those tasks doesn't necessarily need to get done that quickly. And throughput is this really big thing where if you see the system of a hundred concurrent agents outputting thousands of tokens a second, you can't go back like that.Just you see a glimpse of the future where obviously there are many caveats. Like no one is using this browser. IRL. There's like a bunch of things not quite right yet, but we are going to get to systems that produce real production [00:48:00] code at the scale much sooner than people think. And it forces you to think what even happens to production systems. Like we've broken our GitHub actions recently because we have so many agents like producing and pushing code that like CICD is just overloaded. ‘cause suddenly it's like effectively weg grew, cursor's growing very quickly anyway, but you grow head count, 10 x when people run 10 x as many agents.And so a lot of these systems, exactly, a lot of these systems will need to adapt.swyx: It also reminds me, we, we all, the three of us live in the app layer, but if you talk to the researchers who are doing RL infrastructure, it's the same thing. It's like all these parallel rollouts and scheduling them and making sure as much throughput as possible goes through them.Yeah, it's the same thing.Jonas: We were talking briefly before we started recording. You were mentioning memory chips and some of the shortages there. The other thing that I think is just like hard to wrap your head around the scale of the system that was building the browser, the concurrency there.If Sam and I both have a system like that running for us, [00:49:00] shipping our software. The amount of inference that we're going to need per developer is just really mind-boggling. And that makes, sometimes when I think about that, I think that even with, the most optimistic projections for what we're going to need in terms of buildout, our underestimating, the extent to which these swarm systems can like churn at scale to produce code that is valuable to the economy.And,swyx: yeah, you can cut this if it's sensitive, but I was just Do you have estimates of how much your token consumption is?Jonas: Like per developer?swyx: Yeah. Or yourself. I don't need like comfy average. I just curious. ISamantha: feel like I, for a while I wasn't an admin on the usage dashboard, so I like wasn't able to actually see, but it was a,swyx: mine has gone up.Samantha: Oh yeah.swyx: But I thinkSamantha: it's in terms of how much work I'm doing, it's more like I have no worries about developers losing their jobs, at least in the near term. ‘cause I feel like that's a more broad discussion.swyx: Yeah. Yeah. You went there. I didn't go, I wasn't going there.I was just like how much more are you using?Samantha: There's so much stuff to be built. And so I feel like I'm basically just [00:50:00] trying to constantly I have more ambitions than I did before. Yes. Personally. Yes. So can't speak to the broader thing. But for me it's like I'm busier than ever before.I'm using more tokens and I am also doing more things.Jonas: Yeah. Yeah. I don't have the stats for myself, but I think broadly a thing that we've seen, that we expect to continue is J'S paradox. Whereswyx: you can't do it in our podcast without seeingJonas: it. Exactly. We've done it. Now we can wrap. We've done, we said the words.Phase one tab auto complete people paid like 20 bucks a month. And that was great. Phase two where you were iterating with these local models. Today people pay like hundreds of dollars a month. I think as we think about these highly parallel kind of agents running off for a long times in their own VM system, we are already at that point where people will be spending thousands of dollars a month per human, and I think potentially tens of thousands and beyond, where it's not like we are greedy for like capturing more money, but what happens is just individuals get that much more leverage.And if one person can do as much as 10 people, yeah. That tool that allows ‘em to do that is going to be tremendously valuable [00:51:00] and worth investing in and taking the best thing that exists.swyx: One more question on just the cursor in general and then open-ended for you guys to plug whatever you wanna put.How is Cursor hiring these days?Samantha: What do you mean by how?swyx: So obviously lead code is dead. Oh,Samantha: okay.swyx: Everyone says work trial. Different people have different levels of adoption of agents. Some people can really adopt can be much more productive. But other people, you just need to give them a little bit of time.And sometimes they've never lived in a token rich place like cursor.And once you live in a token rich place, you're you just work differently. But you need to have done that. And a lot of people anyway, it was just open-ended. Like how has agentic engineering, agentic coding changed your opinions on hiring?Is there any like broad like insights? Yeah.Jonas: Basically I'm asking this for other people, right? Yeah, totally. Totally. To hear Sam's opinion, we haven't talked about this the two of us. I think that we don't see necessarily being great at the latest thing with AI coding as a prerequisite.I do think that's a sign that people are keeping up and [00:52:00] curious and willing to upscale themselves in what's happening because. As we were talking about the last three months, the game has completely changed. It's like what I do all day is very different.swyx: Like it's my job and I can't,Jonas: Yeah, totally.I do think that still as Sam was saying, the fundamentals remain important in the current age and being able to go and double click down. And models today do still have weaknesses where if you let them run for too long without cleaning up and refactoring, the coke will get sloppy and there'll be bad abstractions.And so you still do need humans that like have built systems before, no good patterns when they see them and know where to steer things.Samantha: I would agree with that. I would say again, cursor also operates very quickly and leveraging ag agentic engineering is probably one reason why that's possible in this current moment.I think in the past it was just like people coding quickly and now there's like people who use agents to move faster as well. So it's part of our process will always look for we'll select for kind of that ability to make good decisions quickly and move well in this environment.And so I think being able to [00:53:00] figure out how to use agents to help you do that is an important part of it too.swyx: Yeah. Okay. The fork in the road, either predictions for the end of the year, if you have any, or PUDs.Jonas: Evictions are not going to go well.Samantha: I know it's hard.swyx: They're so hard. Get it wrong.It's okay. Just, yeah.Jonas: One other plug that may be interesting that I feel like we touched on but haven't talked a ton about is a thing that the kind of these new interfaces and this parallelism enables is the ability to hop back and forth between threads really quickly. And so a thing that we have,swyx: you wanna show something or,Jonas: yeah, I can show something.A thing that we have felt with local agents is this pain around contact switching. And you have one agent that went off and did some work and another agent that, that did something else. And so here by having, I just have three tabs open, let's say, but I can very quickly, hop in here.This is an example I showed earlier, but the actual workflow here I think is really different in a way that may not be obvious, where, I start t

Hello to you listening in Alexandria, Virginia! Coming to you from Whidbey Island, Washington this is Stories From Women Who Walk with 60 Seconds for Story Prompt Friday and your host, Diane Wyzga. Growing up in a family of 9 I remember a never-ending stack of dishes, cups, bowls and silverware to wash and dry. There was also the never-ending arguing about whose job it was to wash the dishes. Eventually our parents caved and bought a dishwasher; but the arguing didn't end there. Did you know there is a right way and a wrong way to stack items in a dishwasher? Who knew? Dishes face this way, cups face that way, silverware goes like so. One person's different system was perceived as wrong by someone else. Believe it or not, one of the advantages of living in a big family is the ever-present teaching moment, like this one: "Just because you do things differently, you are not wrong.” Story Prompt: When in your personal or professional life have you done something differently only to be told it was wrong? What happened next? Write that story and share it out loud!  You're always welcome: "Come for the stories - Stay for the magic!" Speaking of magic, I hope you'll subscribe, share a 5-star rating and nice review on your social media or podcast channel of choice, bring your friends and rellies, and join us! You will have wonderful company as we continue to walk our lives together. Be sure to stop by my Quarter Moon Story Arts website, email me to arrange a no-obligation Discovery Call, and stay current with me as Quarter Moon Story Arts on Substack. Stories From Women Who Walk Production Team Podcaster: Diane F Wyzga & Quarter Moon Story Arts Music: Mer's Waltz from Crossing the Waters by Steve Schuch & Night Heron Music ALL content and image © 2019 to Present Quarter Moon Story Arts. All rights reserved.  If you found this podcast episode helpful, please consider sharing and attributing it to Diane Wyzga of Stories From Women Who Walk podcast with a link back to the original source.

From boardrooms to headlines, vendor pitches to strategy decks, AI is suddenly everywhere. For many leaders, the conversations surrounding AI can be confusing and overwhelming. Is AI really helpful, or just overhyped? This episode of the Forward Thinking Podcast features FCCS SVP of Marketing and Communications Stephanie Barton and Michael Thomas, Chief Data Scientist at Ketchbrook Analytics for a conversation about AI without the BS – by demystifying AI misconceptions, exploring AI opportunities and risks, and understanding how leaders today can implement AI into the broader digital transformation journey strategy.    Episode Insights Include: Common AI misconceptions in farm credit boardrooms AI being used for loan decisioning.  Generative AI should not be used to make individual loan data decisions.  AI being used as a general blanket for an entire organization.  Generalized AI models can be leveraged to increase productivity.  AI cannot be thrown at all customized business processes.  Individual questions cannot effectively be answered by AI.    Positive applications of AI in farm credit Microsoft CoPilot is being used effectively to effectively summarize and generalize document content.  Extensive pdf documents can be simplified with AI assistance.  Large language models can assist with the farm credit system.    Possibilities for further AI adaptation Prompt-driven user dashboards can allow for quicker recall of desired information.  Large language models can bring data together for the user.  Product catalogues chatbots can provide quick answers for users.  Try it and see – AI has countless possibilities that may be helpful.    AI versus machine learning and automation AI usually refers to generative AI.  Machine learning generally outputs one fixed idea.  Generative AI is a newer concept that produce varying lengths of output.  Machine learning helps organizations make better, data-driven decisions.  Generative AI helps organizations be more efficient across a variety of day-to-day tasks. Both have applicability to automation.    Promising applications for AI application in farm credit Increased efficiency is guaranteed with AI.  Sales should be working with a large language model to create a polished sales pitch.  AI can be leveraged to review the work that you have already done.  AI can support, review, and enhance your original thoughts and work.    Avoiding the risks and dangers of AI There is little to no room for error in farm credit, and AI is not fool-proof.  AI offers promises including improved hiring and productivity gains.  Critical thinking skills are at risk from AI, as well as the messy deployment of fully autonomous AI agents. Additional improvements include revolutionary game-changers in medicine and science.  Troubleshooting problems can be addressed more quickly with AI assistance.  Longterm adaptation has to be rolled out in a way that complements the workforce.    This podcast is powered by FCCS.   Resources   Connect with Michael Thomas – Michael Thomas   Get in touch – info@fccsconsulting.com   "AI should be thoughtfully baked into the products you're already using." — Michael Thomas   "AI has to be rolled out in a way that complements the workforce." — Michael Thomas   "Don't be afraid to use your brain first." — Michael Thomas   "Do not focus on the tools of AI or machine learning, focus on the problems that you want to solve." — Michael Thomas

Luis y Albert se sientan a hablar de cómo están usando la inteligencia artificial en su día a día como media buyers en 2026.Nada de teorías: herramientas concretas, workflows que ya aplican con clientes y una comparativa honesta de qué IA merece tu dinero y cuál no.En este episodio aprenderás:

KI-Sprint statt KI-Marathon: Wie du mit strukturierten Sprints schnell funktionierende KI-Lösungen entwickelst   Künstliche Intelligenz ist in aller Munde. Trotzdem stehen viele Unternehmer und Selbstständige vor derselben Frage: Wo fange ich eigentlich an? Genau hier kommt ein Ansatz ins Spiel, der Geschwindigkeit, Struktur und Umsetzungsfokus kombiniert – der KI-Sprint. In dieser Folge unserer Miniserie sprechen wir mit KI-Experte Thomas Brunner darüber, wie Unternehmen mit einem klaren Sprint-Format innerhalb kürzester Zeit konkrete KI-Anwendungen entwickeln können. Statt monatelanger Konzepte entstehen in wenigen Stunden erste funktionierende Prototypen.   Thomas Brunner auf LinkedIn: LinkedIn - https://www.linkedin.com/in/thomas-brunner-3779822/   Warum klassische Projektmethoden bei KI oft zu langsam sind Viele Unternehmen sind es gewohnt, Projekte nach klassischen Mustern umzusetzen: Analyse, Konzept, Umsetzung – Schritt für Schritt und oft über viele Monate hinweg. Gerade bei KI führt dieses Vorgehen jedoch häufig zu Verzögerungen oder zu Lösungen, die am Ende nicht wirklich genutzt werden. Der Sprint-Ansatz setzt genau hier an. Statt langwieriger Planung geht es darum, schnell in die Umsetzung zu kommen. Ein Sprint ist bewusst zeitlich begrenzt, stark strukturiert und auf Ergebnisse ausgerichtet. Teams arbeiten intensiv zusammen, bringen viele Ideen auf den Tisch und priorisieren anschließend die besten Ansätze. Der große Vorteil: In kurzer Zeit entsteht Klarheit darüber, welche KI-Anwendungen wirklich Potenzial haben und welche nicht. Die Grundprinzipien eines erfolgreichen KI-Sprints Ein KI-Sprint basiert auf mehreren klaren Prinzipien, die den Prozess besonders effektiv machen. Erstens steht der Nutzer im Mittelpunkt. Jede Lösung wird aus der Perspektive der Menschen gedacht, die sie später einsetzen. Zweitens sorgt ein strukturierter Prozess dafür, dass Kreativität und Fokus gleichzeitig entstehen.Typischerweise läuft ein Sprint in mehreren Schritten ab, ein entscheidender Faktor ist dabei die sogenannte Timebox. Jeder Schritt hat ein klares Zeitfenster. Wenn die Zeit abgelaufen ist, geht es weiter. Genau diese Dynamik sorgt dafür, dass Diskussionen nicht endlos werden und Ergebnisse entstehen. Warum KI-Sprints besonders für Unternehmer spannend sind Gerade für Selbstständige und Unternehmer bieten KI-Sprints einen enormen Vorteil. Statt sich wochenlang mit Tools zu beschäftigen, entwickeln sie innerhalb kurzer Zeit funktionierende Prototypen. Der Fokus liegt nicht auf perfekter Technik, sondern auf einer funktionierenden Logik. Die zentrale Frage lautet immer: Welche Aufgabe kann KI heute schon zuverlässig übernehmen? Dabei entstehen oft sogenannte „Low Hanging Fruits" – einfache Automatisierungen, die sofort Zeit sparen oder Prozesse verbessern. Und genau diese schnellen Erfolge sorgen dafür, dass KI nicht mehr nur Theorie bleibt, sondern zu einem echten Bestandteil des Geschäftsalltags wird. Fazit: Schnelle Ergebnisse statt endloser Planung Der größte Fehler vieler Unternehmen im Umgang mit KI ist übermäßige Planung. Sie analysieren, diskutieren und entwickeln Konzepte – ohne jemals wirklich ins Handeln zu kommen. Ein KI-Sprint dreht diese Logik um. Erst testen, dann optimieren. Mit klarer Struktur, kurzen Zeitfenstern und einem starken Fokus auf Prototypen lassen sich innerhalb weniger Stunden Lösungen entwickeln, die sofort Mehrwert liefern. Genau deshalb wird dieser Ansatz für immer mehr Unternehmen zum Schlüssel, um KI erfolgreich in ihre Prozesse zu integrieren.     Noch mehr von den Koertings ...  Das KI-Café ... jede Woche Mittwoch (>350 Teilnehmer) von 08:30 bis 10:00 Uhr ... online via Zoom .. kostenlos und nicht umsonstJede Woche Mittwoch um 08:30 Uhr öffnet das KI-Café seine Online-Pforten ... wir lösen KI-Anwendungsfälle live auf der Bühne ... moderieren Expertenpanel zu speziellen Themen (bspw. KI im Recruiting ... KI in der Qualitätssicherung ... KI im Projektmanagement ... und vieles mehr) ... ordnen die neuen Entwicklungen in der KI-Welt ein und geben einen Ausblick ... und laden Experten ein für spezielle Themen ... und gehen auch mal in die Tiefe und durchdringen bestimmte Bereiche ganz konkret ... alles für dein Weiterkommen. Melde dich kostenfrei an ... www.koerting-institute.com/ki-cafe/   Mit jedem Prompt ein WOW! ... für Selbstständige und Unternehmer Ein klarer Leitfaden für Unternehmer, Selbstständige und Entscheider, die Künstliche Intelligenz nicht nur verstehen, sondern wirksam einsetzen wollen. Dieses Buch zeigt dir, wie du relevante KI-Anwendungsfälle erkennst und die KI als echten Sparringspartner nutzt, um diese Realität werden zu lassen. Praxisnah, mit echten Beispielen und vollständig umsetzungsorientiert. Das Buch ist ein Geschenk, nur Versandkosten von 9,95 € fallen an. Perfekt für Anfänger und Fortgeschrittene, die mit KI ihr Potenzial ausschöpfen möchten. Das Buch in deinen Briefkasten ... https://koerting-institute.com/shop/buch-mit-jedem-prompt-ein-wow/   Die KI-Lounge ... unsere Community für den Einstieg in die KI (>2800 Mitglieder) Die KI-Lounge ist eine Community für alle, die mehr über generative KI erfahren und anwenden möchten. Mitglieder erhalten exklusive monatliche KI-Updates, Experten-Interviews, Vorträge des KI-Speaker-Slams, KI-Café-Aufzeichnungen und einen 3-stündigen ChatGPT-Kurs. Tausche dich mit über 2800 KI-Enthusiasten aus, stelle Fragen und starte durch. Initiiert von Torsten & Birgit Koerting, bietet die KI-Lounge Orientierung und Inspiration für den Einstieg in die KI-Revolution. Hier findet der Austausch statt ... www.koerting-institute.com/ki-lounge/   Starte mit uns in die 1:1 Zusammenarbeit Wenn du direkt mit uns arbeiten und KI in deinem Business integrieren möchtest, buche dir einen Termin für ein persönliches Gespräch. Gemeinsam finden wir Antworten auf deine Fragen und finden heraus, wie wir dich unterstützen können. Klicke hier, um einen Termin zu buchen und deine Fragen zu klären. Buche dir jetzt deinen Termin mit uns ... www.koerting-institute.com/termin/   Weitere Impulse im Netflix Stil ... Wenn du auf der Suche nach weiteren spannenden Impulsen für deine Selbstständigkeit bist, dann gehe jetzt auf unsere Impulseseite und lass die zahlreichen spannenden Impulse auf dich wirken. Inspiration pur ... www.koerting-institute.com/impulse/   Die Koertings auf die Ohren ... Wenn dir diese Podcastfolge gefallen hat, dann höre dir jetzt noch weitere informative und spannende Folgen an ... über 440 Folgen findest du hier ... www.koerting-institute.com/podcast/   Wir freuen uns darauf, dich auf deinem Weg zu begleiten!    

Companies are making moves to monetize AI and intimacy. Bridget Todd joins us to unpack some of the issues around this, and her upcoming audio book tackling the topic 'Love at First Prompt'. See omnystudio.com/listener for privacy information.

Most buyers are still doing due diligence like it's 2015. And the ones who know how to use AI? They're finding better deals, faster, and you'd never even know they were looking. In this episode, Jaryd sits down with Haytham Allos, M&A strategist, AI specialist, and one of the minds behind one of the world's first AI-powered law firms, to pull back the curtain on what's actually happening right now at the intersection of artificial intelligence and buying businesses. And it gets wild. We're talking AI agents that evaluate deals. Smart contracts that close them. Fractionalised ownership that lets someone invest in a business for as little as $50. A future where your AI agent negotiates with the seller's AI agent, and a human just says yes or no at the end. But before we get there? Haytham breaks down what's happening right now. Why most buyers are still flying blind, why AI without the right prompting is actually dangerous in a deal, and the one thing that kills more mergers than bad financials ever will. You'll discover why prompt engineering is the most underrated skill in acquisitions today, how to use AI to get an unfair edge in due diligence without replacing your gut instinct, and exactly where the smart money is already moving. This isn't theory. This is where M&A is heading, and the buyers who understand it now are going to own the next decade. Hit play. Your competition probably already has.

Émilie Delvoye, directrice des communications chez Prompt, reçoit Gabriela Nicolescu, de Polytechnique et Nicolas Ulysse de Mannarino pour discuter d'une solution innovante qui réduit les interférences matérielles et logicielles des systèmes d'exploitation des avions. Merci à Prompt de soutenir la production de Mon Carnet

Radical acceptance is a strong start… then kids still look at you like, “Okay, now what?” In this episode of Overpowering Emotions, Dr. Caroline Buzanko teaches the missing step: agency—helping kids and teens take the next right thing even when they feel anxious, angry, embarrassed, or stuck.You'll hear simple scripts, plus kid-friendly metaphors (GPS detours, storms and umbrellas, rivers, and the “two arrows”) that turn spirals into small, doable moves. Dr. Caroline also shares a real story from parenting a 10-year-old through a tough coaching situation—without swooping in—and shows how to validate emotions while still building resilience.If you support youth with anxiety, school refusal, perfectionism, overwhelm, or big feelings, this episode gives you practical language and quick activities you can use today: grounding in the body, values-based choices, “even though” self-coaching, and daily reflection that trains courage over avoidance.Homework activities for adults supporting kids/teens A) The 3-step reset (use in real time)Prompt 1: “Name the reality.” (“This is hard.” “This hurts.”)Prompt 2: “Find it in your body.” (“Where do you feel it—chest, hands, stomach?” “Left or right?”)Prompt 3: “Pick one small step.” (“What's one thing you can do right now?”)Resource to prep: a tiny cue card for adults (phone note or printed) with the three prompts.B) The “Even though… I still can…” script practice (2 minutes/day)Have the child complete 1 sentence daily:“Even though I feel ___, I still can ___.”“Even though I want to ___ (avoid), I still can ___ (stay/try).”Adults model it too (kids copy what they see).Resource to prep: a note in the kitchen/classroom wall, or a journal page with 10 blank lines.C) Values Compass (15 minutes, then weekly check-ins)Draw a circle, divide into “pie slices” of important areas (friendship, learning, family, health, fun, etc.).Rate satisfaction 1–10 for each slice.Ask: “What makes it a 2 and not a 1?” then: “What bumps it up by 0.5?”Resource to prep: blank “values pie” worksheet (paper + markers) or a whiteboard template.D) Choose-your-response scenarios (flexibility training)Pick one common stressor (pop quiz, reading aloud, being left out, forgotten homework).Brainstorm 3 response types:avoidance (run away)neutral/mixed (ask to read with partner)approach/values-aligned (read one sentence even while nervous)Resource to prep: a list of 10 scenarios relevant to your child/student group.E) Daily “bravery receipt” reflection (2–5 minutes)Question: “What was something hard today?”Question: “What did you do anyway?”Close: “Today, I acted like someone who values ___.”Resource to prep: a journal, sticky notes, or a simple nightly routine prompt.Enjoying the show? Help out by rating this podcast on Apple to help others get access to this information too! apple.co/3ysFijh Follow Dr. Caroline YouTube: https://www.youtube.com/@dr.carolinebuzankoIG: https://www.instagram.com/dr.carolinebuzanko/ LinkedIn: https://ca.linkedin.com/in/dr-caroline-buzankoFacebook: https://www.facebook.com/DrCarolineBuzanko/Website: https://drcarolinebuzanko.com/Resources: https://drcarolinebuzanko.com/resources/articles-child-resilience-well-being-psychology/ Business inquiries: https://korupsychology.ca/contact-us/Want to learn more about helping kids strengthen their emotion regulation skills and problem-solving brains while boosting their confidence, independence, and resilience? Check out my many training opportunities! https://drcarolinebuzanko.com/upcoming-events/

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 585.9800More HMS: holmbergpodcast.com, 98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jeff and Jim sit down with David Llorens, principal at RSM, to break down the RSM 2026 Attack Vectors Report. Drawing from real-world offensive security engagements, David explains why identity continues to be the primary attack surface, how AI chatbots are creating new vulnerabilities through prompt injection, and what separates organizations that get breached from those that don't. The conversation covers MFA gaps, the explosion of non-human identities, why PAM is the top investment priority for 2026, and how CISOs can align security spending with business objectives. Plus, the episode wraps up with soccer stories and some quality trash talk.Connect with David: https://www.linkedin.com/in/david-llorens-009a3310/Review RSM's 2026 Attack Vectors Report: https://rsmus.com/insights/services/risk-fraud-cybersecurity/rsm-attack-vector-report.htmlConnect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.comTIMESTAMPS0:00 - Intro and Jim's big personal news4:51 - Main topic intro: RSM 2026 Attack Vectors Report5:55 - David's origin story and how he got into cybersecurity9:53 - What a principal is at RSM and David's current role11:16 - What the Attack Vectors Report is and how it is created14:40 - Why identity security is a dominant theme in this year's report17:19 - What separates organizations that get breached from those that don't18:18 - MFA as the first line of defense18:45 - Privileged access management as a growing priority19:40 - Detecting lateral movement through identity anomalies21:00 - Credential rotation as an advanced defensive technique22:26 - Non-human identities and service account risks24:37 - Middle market challenges and budget constraints25:17 - Is it the size of the budget or how you spend it?28:29 - Using internal audit and cross-department collaboration for security wins30:15 - Cybersecurity as a business enabler, not a deterrent32:45 - Non-human identities and agentic AI creating new attack surfaces35:51 - Prompt injection attacks and AI chatbot vulnerabilities39:42 - Actionable recommendations for practitioners42:41 - MFA implementation gaps and session hijacking45:02 - The case for FIDO2 and layered conditional access46:35 - Is identity security a board-level issue?49:47 - Three things CISOs should focus on through 202650:52 - PAM as the top investment priority51:28 - Removing unnecessary privileges from users56:11 - Redefining what privilege means in your organization57:43 - Social media accounts as privileged access58:42 - Credentials stored in SharePoint and OneDrive59:38 - Wrap up and where to find the report59:58 - Lighter topic: David's soccer background and playing semi-pro1:05:06 - Best trash talk stories1:07:03 - Jim's trash talk philosophy: scoreboard1:08:00 - Jeff's basketball trash talk and calling his shots1:10:00 - Final thoughts and sign offKEYWORDSIDAC, Identity at the Center, Jeff Steadman, Jim McDonald, David Llorens, RSM, attack vectors report, offensive security, penetration testing, identity security, MFA, multifactor authentication, privileged access management, PAM, non-human identities, service accounts, agentic AI, AI security, prompt injection, lateral movement, credential rotation, FIDO2, conditional access, session hijacking, middle market, CISO, board-level security, certificate-based authentication, active directory, configuration management, shadow AI

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 585.9800More HMS: holmbergpodcast.com, 98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hello to you listening in Pasadena, California! Coming to you from Whidbey Island, Washington this is Stories From Women Who Walk with 60 Seconds (and a bit more) for Story Prompt Friday and your host, Diane Wyzga. I've been binge-watching The Big Bang Theory TV series as I do this time each year to humor me through our Pacific Northwest November to May Rain Festival. As you might know a consistent theme is the characters' devotion to comics and superheroes. Why? The characters are highly intelligent, socially awkward nerds who have difficulty navigating society whereas the superheroes possess save-the-day abilities, rare powers, and bravery. Comics can be a safe place to fantasize living idealized versions of themselves as the nerd-turned-hero. But what do the Superheroes have to say about living life as a Superhero? Following are 7 quotes: 1. “When you decide not to be afraid you can find friends in super unexpected places.” — Ms. Marvel 2. “Everybody's story begins “once upon a time,” and it's up to us to cherish the time we're given to ensure we live happily ever after.” — Scarlet Witch 3. “I have no idea where I'm going to be tomorrow but I accept the fact that tomorrow will come and I'm going to rise to meet it.” — Donna Troy 4. “The fate of your planet rests not in the hands of gods. It rests in the hands of mortals.” — Thor 5. “The future is worth it. All the pain. All the tears. The future is worth the fight.” — Martian Manhunter 6. “The door is more than it appears. It separates who you are from who you can be. You do not have to walk through it… You can run.” — Franklin Richards 7. “A hero can be anyone. Even a man doing something as simple as putting a coat around a little boy's shoulders to let him know the world hasn't ended.” — Batman Story Prompt: For a long time your character has felt that she is more than she appears to be but does not believe she has what it takes to show up fully in her power until one day a door appears in a wall and she .... write that story and share it out loud!    You're always welcome: "Come for the stories - Stay for the magic!" Speaking of magic, I hope you'll subscribe, share a 5-star rating and nice review on your social media or podcast channel of choice, bring your friends and rellies, and join us! You will have wonderful company as we continue to walk our lives together. Be sure to stop by my Quarter Moon Story Arts website, email me to arrange a no-obligation Discovery Call, and stay current with me as "Wyzga on Words" on Substack. Stories From Women Who Walk Production Team Podcaster: Diane F Wyzga & Quarter Moon Story Arts Music: Mer's Waltz from Crossing the Waters by Steve Schuch & Night Heron Music ALL content and image © 2019 to Present Quarter Moon Story Arts. All rights reserved.  If you found this podcast episode helpful, please consider sharing and attributing it to Diane Wyzga of Stories From Women Who Walk podcast with a link back to the original source.

This week, we covered the competition of the Google Discover core update. Also gave a status update on the Google Search volatility. Google had a brief serving issue with Google Search. Google is testing showing vertical...

Mon Carnet, le podcast de Bruno Guglielminetti Vendredi 27 février 2026 Le grand magazine francophone de l'actualité numérique Débrief avec Jérôme Colombain (2:13) Retour sur l'actualité technologique de la semaine Entrevues : Philippe Larose-Cadieux : Un an d'existence pour Qlub (25:13) Dominic Sigouin : Évolution du futur réseau social Sociable (37:38) Brigade IA Québec avec Annie Daigneault (58:30) Rencontres d'innovateurs Prompt (1:11:43) Émilie Delvoye reçoit Gabriela Nicolescu et Nicolas Ulysse Billets : Stéphane Berthomet : Retour sur le Podcasthon (1:21:15) Stéphane Ricoul : Le dernier rempart de la volonté (1:26:56) Entrevue : Jean-François Poulin : Innovation et design au HEC Montréal avec David Brieugne (1:36:24) Collaborateurs : Jérôme Colombain, Stéphane Berthomet, Stéphane Ricoul, Jean-François Poulin www.MonCarnet.com Une production de Guglielminetti.com Février 2026

Lead-Recherche ist der grösste versteckte Zeitfresser im Verkauf. Nicht weil deine Verkäufer schlecht sind – sondern weil der Prozess veraltet ist. In dieser Folge von KI im Sales für Verkaufsleiter zeigt Dieter Menyhart, wie Schweizer Verkaufsteams ihre Recherchezeit von einer Stunde auf drei Minuten reduziert haben – mit klaren, praxiserprobten KI-Methoden. Du erfährst: Wie dein Team mit einem einzigen Prompt ein komplettes Kunden-Briefing erstellt Wie Entscheider-Profile dein Gespräch auf C-Level sofort aufwerten Wie du Wettbewerber sachlich analysierst statt aus dem Bauch zu argumentieren Was diese Zeitersparnis konkret in Franken bedeutet Praxisbeispiele aus Winterthur, Zürich und Bern inklusive. Wenn du willst, dass dein Team besser vorbereitet ist als 90 % des Marktes – dann ist diese Folge Pflicht.

In this insightful episode of the We Don't PLAY!™️ Podcast, host Favour Obasi-ike, MBA, MS demystifies the critical evolution of search in the age of artificial intelligence, focusing on a concept she terms "AI SEO 101." The central theme revolves around the distinction and strategic importance of closing both prompt gaps and keyword gaps to secure valuable brand citations. While traditional SEO has focused on optimizing for short, fragmented keywords (e.g., "best travel deals"), the rise of conversational AI assistants like ChatGPT and Perplexity has given birth to the prompt—a longer, full-sentence query (e.g., "What are the best international travel deals for a family of four in summer 2026?").Favour argues that many businesses are unprepared for this shift, leaving a "prompt gap" in their content strategy. While they may have content targeting keywords, they lack the in-depth, conversational, and authoritative answers that AI models seek when responding to user prompts. The ultimate goal for any brand is to become a direct brand citation in an AI-generated answer, a feat achieved only by providing comprehensive, well-supported information. As Favour compellingly states, the answers provided by AI are sourced directly from the content available on the web: "Where are those responses AI is getting coming from in the first place? They're coming from your website."The core of the strategy lies in recognizing that your website is the foundational pillar of your digital presence. To bridge the prompt gap, Favour advocates for a robust pillar-cluster content model. This involves creating a main "pillar" page that exhaustively answers a primary customer question, supported by numerous "cluster" pages that explore related sub-topics in detail. This creates a dense, interconnected web of expertise that signals authority to search engines and AI alike. The episode emphasizes a shift from merely creating blogs to creating comprehensive resource hubs, complete with FAQs, multimedia content, and evidence-backed claims, much like a digital research paper.Favour provides a clear action plan: identify the core questions your audience is asking, build out content that answers them conversationally and in-depth, and structure this content logically on your website. She also touches on the technical side, noting that URLs should remain concise and keyword-focused, while the content on the page should be rich and prompt-focused. Ultimately, the episode is a powerful call to action for businesses to stop dwelling on information and start implementing a forward-thinking content strategy. By treating your website as a definitive library of answers, you can close the gaps in your SEO strategy and ensure your brand not only survives but thrives in the new era of AI-powered search.Key TakeawaysPrompts vs. Keywords: A prompt is a conversational, full-sentence question (10-25 words) posed to an AI, whereas a keyword is a short, fragmented search query (2-5 words) used in traditional search engines.The Goal is Brand Citation: In the new landscape of AI search, the primary objective is to have your brand and website cited directly as the authoritative source in an AI-generated answer.Your Website is the Foundation: All digital roads lead back to your website. It is the most critical asset for building authority and providing the in-depth answers that AI models are looking for.Close the Prompt Gap with Conversational Content: To appear in AI search results, you must create content that directly and comprehensively answers the full questions your audience is asking, not just targets keywords.Adopt a Pillar-Cluster Model: For each major question your audience has, create one main "pillar" page with a complete answer and support it with multiple "cluster" pages that cover related sub-topics. This builds a powerful web of expertise.Content as a Resource Hub: Think of your content less like a series of blog posts and more like a library of research. Support your answers with data, evidence, multimedia, and links to other authoritative sources to build trust and credibility.Action Over Acronyms: While understanding terms like AEO (Answer Engine Optimization) is useful, the focus should be on the practical implementation of creating high-quality, question-answering content.Memorable Quotes"A prompt is keywords in confirmation of the context that has been started by conversation.""You can't say a brand without connecting a website.""Where are those responses AI is getting coming from in the first place? They're coming from your website.""Don't be in a place where you're dwelling on information and not taking action on implementation.""15% of new searches every day out of at least 8.5 billion searches a day are new, including yours.""You don't put a prompt in your URL, you put a keyword in your URL.""You're not just creating blogs, you're creating calls to action."Frequently Asked Questions (FAQs)What is the main difference between a prompt and a keyword? A prompt is a long, conversational question asked to an AI, while a keyword is a short, fragmented phrase used in a traditional search bar. Your content strategy needs to address both.Why are brand citations important in AI SEO? A brand citation is when an AI search tool names your website as the source of its information. It positions your brand as a trusted authority, driving traffic and credibility.Is blogging still relevant in 2026? Yes, absolutely. However, the format has evolved. Modern blogging should focus on creating in-depth, conversational articles that function as answers to user prompts, effectively turning your blog into a resource hub or "audio blog."How do I start closing the prompt gap on my website? Begin by identifying the most common and important questions your customers ask. Then, create comprehensive content (like a detailed FAQ page or a pillar article) that answers these questions thoroughly and links to supporting cluster pages.What is the pillar-cluster model? It's a content strategy where you create one major "pillar" page that covers a broad topic in-depth. You then create multiple "cluster" pages that address specific sub-topics related to the pillar, with all cluster pages linking back to the main pillar page. This structure organizes your content and signals deep expertise to search engines.Timestamps[00:00] Introduction: AI SEO 101 - Prompt Gaps vs. Keyword Gaps.[01:35] Defining a "Prompt": A conversational query of 10-25 words.[02:48] Defining a "Keyword": Traditional short, medium, and long-tail search terms.[05:52] The Central Role of Your Website in Brand Citations.[06:34] How Search Engines Match Pages to Queries.[07:17] Core Concept: A prompt is "keywords in conversation."[08:03] The Solution: Closing the gap with conversational, FAQ-style content.[09:43] Strategy Deep Dive: The Pillar-Cluster content model (1 Pillar + 9 Clusters).[15:02] Where AI Gets Its Answers: Your website is the source for LLMs.[16:02] Building Authority: Go beyond facts and support claims with experience and evidence.[19:00] Your website is the common thread in all customer interactions.[20:44] Technical SEO Tip: Use keywords in your URLs, not long prompts.[22:36] Market Opportunity: 15% of the 8.5 billion daily searches are entirely new.[23:38] Content with Purpose: Your content should create calls to action, not just exist as a blog.[24:14] Closing Remarks & How to Connect.[25:12] Podcast Outro.Book SEO Services | Quick Links for Social Business>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book SEO Services with Favour Obasi-ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick LinksSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Amazon is entering a new era of AI-driven commerce. AI and Marketing now operate together in shaping visibility, personalization, and purchase behavior. In this episode, we explore how Amazon's evolving algorithms reward conversion rate, velocity, and relevance in new ways.AI powered tools are transforming product discovery. Search results are becoming personalized. Customers receive recommendations based on behavioral signals and intent. Brands must respond with deeper intelligence.AI enabled Market Research is becoming essential. Marketers can now analyze reviews, feature preferences, and competitive gaps at scale. However, AI without strategy produces noise. Prompt quality and disciplined execution separate winners from average performers.We also discuss how creative generation is changing. AI can accelerate testing and production. Yet thoughtful positioning still drives results. Scrappy brands that adopt AI strategically will move faster. Comfortable brands may struggle.This conversation highlights how marketers can stay ahead of the curve. AI is not replacing expertise. It is amplifying it.

Something has been in the works. Bridget shares what's next. LoveAtFirstPrompt.AI Let us know what you think by emailing hello@tangoti.com or leaving a comment on Spotify! Follow Bridget and TANGOTI on social media! || instagram.com/bridgetmarieindc/ || tiktok.com/@bridgetmarieindc || youtube.com/@ThereAreNoGirlsOnTheInternet || bsky.app/profile/tangoti.bsky.social See omnystudio.com/listener for privacy information.See omnystudio.com/listener for privacy information.

In this episode of Excess Returns, we sit down with Matt Russell of Business Breakdowns to explore how AI is actually being used in investing today. We go beyond the hype and break down practical use cases for AI in portfolio management, stock research, due diligence, monitoring, and idea generation. From deep research models and agentic AI to prompt engineering and workflow design, this conversation walks through how professional investors can use AI tools to increase productivity, improve decision-making, and reduce blind spots without losing their edge. If you are an asset manager, analyst, allocator, or DIY investor wondering how AI will impact investing and stock picking, this episode offers a clear, practical roadmap.Main topics covered:The evolution from early large language models to deep research and agentic AI for investorsLLMs vs agent-based AI and why the distinction matters for investment researchHow AI fits into an investor's workflow, from due diligence to portfolio monitoringUsing AI to monitor KPIs, earnings calls, and cross-industry signals in real timeHow AI can help kill bad ideas faster and surface deal breakers earlyPrompt engineering for investors, including mindset framing, audience targeting, and output designBuilding mental models into AI systems to reflect your investment philosophyAI tech stacks for investors, including writing tools, deep research models, and browser-based AIIteration, experimentation, and standardized testing of prompts across model upgradesThe impact of AI on alpha generation, active management, and generalist vs specialist investorsOrganizational adoption strategies for investment firms considering AICustomization, agentic workflows, and what AI in investing could look like five years from nowTimestamps:00:00 How AI tools increase investor productivity01:16 Why early ChatGPT was a head fake for investors03:07 The inflection point with deep research and agentic AI05:00 LLMs vs agents explained in plain English07:01 Where AI fits inside an investment workflow09:28 Replacing manual earnings transcript work11:40 Real-time monitoring and AI alerts19:24 Using AI to kill bad investment ideas faster22:01 Trust but verify, hallucinations and safeguards25:29 Matt's AI tech stack for investing30:00 Prompt engineering breakthroughs33:00 Standardized experimentation across new AI models36:07 Building idea generation prompts step by step40:15 Using AI as an editor and critical reviewer43:50 Does AI compress investor skill differences46:10 How funds should adopt AI internally50:40 Fear of falling behind in asset management53:05 Generalists vs specialists in an AI world55:18 AI and the pursuit of alpha57:00 Customization, agents and the future of investing01:01:10 Coding agents and building tools with AI

Robin Zander hosted a Snafu webinar for the Sidebar community on non-sales selling—think self-promotion for career transitions, freelancers, entrepreneurs, and product people. The goal: learn to "sell yourself" without the ick factor.   Participants shared fears: follow-ups feel intimidating, sales feels slimy, and success seems like a numbers game. Robin reframed it: selling is really about enrollment—being a chief evangelist for your work, not begging for attention.   Drawing on stories from his childhood pumpkin patch, his time as a personal trainer (where desperation lost him clients), and opening Robin's Cafe in San Francisco (raising $40k, serving multiple stakeholders, training staff with Danny Meyer's principles), he showed the difference between selling from need vs. service. Long-term success comes from genuine connection, curiosity, optimism, and passion.   Attendees explored their "authentic attitude" and reflected on times self-promotion felt good versus slimy. Exercises included mapping all the people who benefit from your work—employees, customers, managers, mentees, community—and practicing generosity in selling (a "Miracle on 34th Street" mindset: help customers even if it means sending them elsewhere).   In Q&A, Robin tackled: Asking for promotions as modeling for others, especially women and minorities Persistence in follow-ups (yes, emailing Mark Benioff 53 times counts) Relationship-based enterprise selling Avoiding fear-based AI marketing by knowing who you serve and what problem you solve Recommended reading: Setting the Table (Danny Meyer), Unreasonable Hospitality (Will Guidara), The New Strategic Selling.   Robin also shared upcoming Snafu conference details (March 5, Oakland Museum of California) and reminded everyone: Snafu = situation normal; all fucked up. 00:00 Start 01:06 Audience Fears About Selling Robin Zander welcomes 93 participants to the webinar Notes the session is interactive with exercises planned Encourages participants to drop questions in chat or interrupt him Last 15–20 minutes reserved for questions Robin introduces himself briefly Focuses on storytelling as a tool for self-promotion Shares experience as a community builder Runs a conference called Responsive since 2016 (not Snafu) Tools, structures, and company cultures for resilient organizations Two-day event each September on the future of work Focus on building resilience in organizations Observations on rapid change Technology and work-life changes happening at a fast pace Questions about resilience in individuals Traits needed in careers, personal relationships, professional relationships Ability to stay resilient through change Robin frames his expertise Emphasizes his strength in asking questions and fostering honest conversations Labels himself a reluctant salesperson Not the world's leading expert on self-promotion or selling Key lessons from research and interviews Two buckets matter in business and life: Example: Sidebar community forming coalitions for learning and action Operational excellence: being competent and at least as good as others Promotion/enrollment/sales: standing up, saying what you want, building coalitions Started interviewing people about influence and persuasion Started a weekly newsletter called Snafu Written by hand, not AI Shares lessons from his life and others about self-promotion and resilience Focus on courage to take action: raising hand, offering something valuable Core characteristics of self-promotion and selling yourself Connecting with others: art of connection Courage to ask: inspired by Amanda Palmer's TED Talk and book The Art of Asking Opposes traditional "always be closing" sales mentality Advocates for simply asking for what you want Current work mostly involves storytelling for large companies Clients include Supersonic, Airbnb, Zappos, and others 12:25 Service as the Core Principle Robin introduces the concept of storytelling for self-promotion Stories used to: Get promotions Build coalitions Propel career or organizational growth Emphasizes turning personal, career, or company stories into "commercials" Focus of today's talk: self-promotion with impact Core principle: service Showing up from a place of helping others Through helping others, also helping oneself Distinguishes between sleazy salespeople and effective self-promoters Childhood anecdote: Robin's pumpkin patch Tended plants all summer, learned responsibility and care Harvested pumpkins and sold them using a small red tin box labeled "money" Ran "Robin's Pumpkin Patch" for five to seven years At age five, father had him plant pumpkin seeds Engaged neighborhood kids for fun, collaborative promotion Explained product (pumpkins) enthusiastically to potential buyers Used scarecrow costumes and creative gestures to attract attention Lessons learned from pumpkin patch: Authentic enthusiasm creates value Helping people do what they were already inclined to do Early experience of earning and serving simultaneously Self-promotion is most effective when it's service-driven, not manipulative Applying childhood lesson to career and business Asking for a raise Persuading companies to choose one service over another Promoting oneself or others (e.g., Evan, web developer) Key principle: approach self-promotion from delight and service, not need or fear Authentic enthusiasm as foundation for: Interactive exercise for participants Not influenced by sleep deprivation or stress Could be inspired by childhood or adult experiences Opposite of fear; personal and unique for each participant Question posed: what is your authentic attitude when self-promoting? Examples shared from participants: Curiosity Passion Inspiration Service to others Observation Possibility Insight Value Helping others Creativity Belief in serendipity Optimism Key takeaway from exercise and story Promoting from delight, enthusiasm, and service Promoting from need or fear Two versions of self-promotion: Effective self-promotion aligns with authenticity and enthusiasm, creating value for others while advancing oneself 18:36 Gym Job and Needy Selling Robin shares the next story and sets up the next exercise Gym culture is sales-heavy Initial motivation: love of fitness, desire to help people Quickly realizes environment incentivizes personal trainers to sell aggressively Timeframe: ~20 years later, at age 20, moved to San Francisco First post-college job: personal trainer in gyms Early experience at gyms Key lesson from early failure Selling from need feels gross Promoting oneself from fear or desperation leads to poor results Recognizes similarity to unwanted sales calls received personally First authentic success in self-promotion Worked at Petro and World's Gym in San Francisco, Pilates instructor Owner confronted Robin after two weeks: no clients, potential clients being lost to others Threatened termination by Friday if no clients acquired Robin froze under pressure, approached clients but with needy, desperate energy Outcome: fired by Friday, left gym Encounters man in pain on Valencia Street, offers help as personal trainer Approach comes from genuine care, desire to serve Leads to three-year working relationship, consistent sessions, good income Next client: world-famous photographer Michael Light at UCSF swimming pool Client comes from natural connection, not pushy salesmanship Dichotomy observed: Pushy, need-based self-promotion → freeze, poor results Service-oriented self-promotion → natural connections, sustained relationships Exercise for participants Prompt: identify two moments: One time self-promoting felt slimy → what were you doing? One time self-promoting felt good → what were you doing differently? Two-minute reflection / chat participation Participant reflections/examples Slimy examples: Interviewing for a job during layoffs, giving desperate energy Selling P&L at a hyperscaler Selling computers and printers in UK post-college Sales emails getting ghosted Feeling inauthentic or performative, taking advantage of someone Good examples: Offering services out of care and love rather than ROI Showing impact of work to junior child Knowing services add real value and solve a challenge Being clear on what the other person needs Key takeaway Self-promotion feels different depending on intent and knowledge Slimy → desperate, inauthentic, unclear value to recipient Authentic → service-driven, clear value, connection-focused Effective self-promotion combines knowing your value and serving others, not just pushing for personal gain 25:35 Miracle on 34th Street Lesson Feeling good in self-promotion comes from genuinely helping, solving problems, and sharing information Santa Claus hired at Macy's to hold kids and give candy canes, but real goal: persuade parents to buy from Macy's Santa instead sends parents to competitor to truly serve them Macy's manager initially furious Outcome: customers feel genuinely served, return praising Macy's, become loyal fans Robin references Miracle on 34th Street (original version) Key insight: providing real value, even if it benefits someone else, eventually returns value to you "Put enough bread across the water, eventually good things come back" Participant reflections Slimy: knowing audience expects judgment, catering to them for approval Good: giving the gift of knowledge, providing service freely Takeaway: authentic self-promotion is rooted in service, generosity, and sharing expertise, not manipulating for immediate gain 27:45 Starting Robin's Cafe Through Service Robin shares a major professional turning point: opening Robin's Cafe in 2016 No restaurant experience beyond college busing tables Opened in three weeks, eventually grew to 15 employees by 2018 Worked in multiple industries: Pumpkin patch, personal trainer, circus performer Opened a café/restaurant in Mission District, San Francisco Courage and conviction came from clear focus on service to others Employees: create a great workplace, go-giver culture Investors: $40k raised from friends/family, provided value and potential return Landlords (ODC, nonprofit dance center): wanted success of business to support community Customers: diverse—tech workers, kids in dance classes, local community Robin himself: financial sustainability, learning, personal growth Key audiences served by Robin's Cafe Approach to challenges Used Danny Meyer's Setting the Table as a service-focused framework for employees Philosophy: "giving in order to get paid" Examples: spouse, kids, dog, manager, peers, mentees, clients, community, customers, extended family, mentors Served multiple stakeholders during crises: break-ins, flooding, city permitting, neighborhood issues Exercise: identify all the people who benefit from your work or success Key idea: the more stakeholders served, the easier self-promotion becomes, because it comes from service, not need or pressure Show up thinking: does this serve the person I'm talking to? Principle: selling yourself from a place of service Consider multiple stakeholders simultaneously Audience question: elaborate on applying this service mindset specifically to asking for a promotion Tying service to self-promotion in career advancement Result: asking for a raise, applying for jobs, pitching clients—all easier and more authentic 38:11 Promotion As Service Asking for a promotion from a place of service Example: doing the role already, deserving recognition, asking for what you believe you've earned. Personal perspective: advocating for yourself is a form of service to yourself Recognize other stakeholders in the process: Modeling courage and advocacy for the next generation Authority enables ideas to be taken more seriously Stories gained from new responsibilities enhance value to clients or teams People you mentor, especially women or underrepresented groups The organization: your promotion can make it stronger Your family or children: showing them what it looks like to advocate Concrete examples Outcome: trajectory of career positively influenced, demonstrated courage, modeled behavior Asking first time for a manager role Later asking for VP title as a director Courage and small steps Courage = acting despite fear, not absence of fear Practice by taking incremental steps toward what scares you Avoid masking or hesitation; direct action builds confidence and results Persistence and follow-up Busy people require patience and multiple nudges Example: Mark Stubbings emailing Mark Benioff 53 times before a yes Persistence = respectful, consistent follow-ups Role modeling for women and minorities Demonstrates that asking is a normal, expected, and service-oriented act Many don't ask for promotions or raises due to upbringing or cultural norms Modeling advocacy teaches the next generation, including children, to speak up Service mindset in practice Approach self-promotion by asking: is this good for the other person? Keep intention aligned with service, not desperation Books for guidance: Setting the Table – Danny Meyer: service-driven sales and employee culture Unreasonable Hospitality – Will Guidara: lessons from the restaurant world on giving value and delight Key takeaways for promotion and asking Serve yourself, your mentees, your organization, and your broader audience Take small, courageous steps to ask for what you deserve Follow up respectfully and consistently; don't assume silence = no Self-promotion becomes easier and authentic when rooted in service, not fear or need Snafu Newsletter Weekly newsletter written by Robin Covers influence, persuasion, and modern workplace dynamics A resource for ongoing learning and practical insights 56:55 Where to Find Robin Robin's newsletter covers influence, persuasion, and modern work. Snafu Conference Responsive Conference Robin Zander on social medias  

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Wall Street suffers another A.I.-fueled sell-off with enterprise software and private capital leading losses. Investors' fears reappear following the unveiling of a new Anthropic programming language and a report predicting mass white collar job losses. Asia-focused lender Standard Chartered posts a Q4 miss despite seeing a surge in its wealth management business and the announcement of a $1.5bn share buyback. CEO Bill Winters tells CNBC the current tariff turmoil is delaying investments. As an updated global tariffs regime of 10 per cent take effect, U.S. President Donald Trump warns countries against ‘playing games' with the SCOTUS decision to strike down his reciprocal levy agenda. The EU is to delay approval of its U.S. trade deal following the latest tariff announcements.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This is an Audio Edition episode—originally published on YouTube and optimized for audio listening.Feeling completely stuck in your career and unsure what path to take next? You're not alone — most professionals waste weeks overthinking, taking quizzes, and researching job titles, only to end up more confused. In this video, I'll show you a ChatGPT career clarity prompt that helps you find the right career path, job titles, and action plan in under 10 minutes. You'll learn how to use AI tools like ChatGPT Dictation Mode to build your own career clarity assessment, uncover personalized roles that fit your skills, and generate a step-by-step plan for breaking through career confusion.Whether you're exploring a career change, debating between multiple job options, or just trying to figure out what's next, this AI-powered career clarity framework will help you get unstuck fast and move forward with confidence.

Hello to you listening in Samish, Washington!Coming to you from Whidbey Island, Washington this is Stories From Women Who Walk with 60 Seconds for Story Prompt Friday and your host, Diane Wyzga.Imagine this: a storyteller in a room full of litigators. No! Not alligators - litigators. Trial attorneys who are curious about learning the tools to engage with their own narrative so that they could connect to the stories of their plaintiff clients - not as lawyers but as people. Once they know how to access their own stories they can engage the experiences of the jury, find common ground with the plaintiff's story and, be well on their way to winning the trial.Over 30 years my clients have learned that before you tell someone else's story be very clear about your own. Do the hard work of an archeological dig on your narrative. Once we understand how our narrative shapes and re-shapes our life, our purpose, the relationships we have with others we are well on our way to knowing what we stand for, what we won't stand for, and how we can be of service. Our story can become one of advocacy, leadership, and healing. Our story can shift attitudes, behaviors, even cultures.CURIOUS TO LEARN MORE? Email me at info@quartermoonstoryarts.net for a no-obligation Discovery Call  Story Prompt: Your life isn't about what happened to you; it's about what you did next!  What have you learned as you journeyed from There to Here, and how might it be a healing story of growth? Write that story and share it out loud!You're always welcome: "Come for the stories - Stay for the magic!" Speaking of magic, I hope you'll subscribe, share a 5-star rating and nice review on your social media or podcast channel of choice, bring your friends and rellies, and join us! You will have wonderful company as we continue to walk our lives together. Be sure to stop by my Quarter Moon Story Arts website, check out the Communication Services, email me to arrange a no-obligation Discovery Call, and stay current with me as "Wyzga on Words" on Substack.Stories From Women Who Walk Production TeamPodcaster: Diane F Wyzga & Quarter Moon Story ArtsMusic: Mer's Waltz from Crossing the Waters by Steve Schuch & Night Heron MusicALL content and image © 2019 to Present Quarter Moon Story Arts. All rights reserved.  If you found this podcast episode helpful, please consider sharing and attributing it to Diane Wyzga of Stories From Women Who Walk podcast with a link back to the original source.

Your email gateway isn't enough anymore, attackers are already inside the workspace through OAuth apps, browser extensions, and account takeover.  In this episode, Ron sits down with Rajan Kapoor, VP of Security at Material Security, to break down the real risks hiding inside Google Workspace and Microsoft 365. They cover how phishing has evolved into full-blown business email compromise, why malicious OAuth apps are the new favorite attack vector, and what security teams, especially lean ones, can do right now to lock down their cloud workspace. Rajan also drops practical advice on passkeys, document sharing hygiene, and why data lifecycle management is a problem no one is solving well enough. Impactful Moments 00:00 – Introduction 03:30 – The current state of phishing 05:30 – Outbound email compromise risk 09:30 – OAuth apps as attack vectors 15:00 – AI agents accessing your workspace 16:00 – Prompt injection is the new SQL injection 18:00 – Allow listing apps immediately 24:30 – Google Workspace vs Microsoft 365 security 27:30 – Custom detections require API expertise 28:00 – Why passkeys matter right now 32:00 – Data lifecycle management for shared docs Links Connect with our guest, Rajan Kapoor, on LinkedIn: https://www.linkedin.com/in/rajankkapoor/ Learn more about Material Security: https://material.security  ___ Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/ Check out our upcoming events: https://www.hackervalley.com/livestreams  Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com   

This episode is a full “build a business in 40 minutes” demo showing how AI collapses what used to take teams (creative production + sales ops + support) into a handful of prompts. Samruddhi generates a high-production video ad in Google AI Studio using a JSON-style prompt framework, then spins up a working voice sales/support agent in Vapi via Claude Desktop + MCP—so the agent is created from a single prompt instead of clicking through the UI. The conversation also covers why “interfaces matter less” in an agent-first world, why workflow tools (like n8n) still have a role, and how memory layers like Mem0 unify context across channels (email/WhatsApp/etc.) so you can take actions without hunting.Timestamps0:00 — “Single person billion-dollar company” belief + AI driving 10x execution speed1:57 — Plan: create the ad in Google AI Studio (Veo 3.1) + build a voice agent using Vapi MCP via Claude Desktop2:42 — Smithery: marketplace for MCP servers3:39 — MCP for non-technical listeners: “like an API, but agents use it to talk to external services”4:22 — Inside Vapi MCP: tool list = APIs the agent can choose from5:06 — AI Studio setup: video generation playground + select Veo 3.16:16 — JSON prompting framework begins (structure → production-level output)6:28 — Keys: description, style, camera, lighting, environment, elements, motion, ending, text9:05 — Prompts/scripts can be AI-generated (humans provide guardrails)10:41 — Need an API key to generate videos in AI Studio10:54 — Ad review: strong realism; last segment looks AI-ish → iterate prompt13:05 — Install Vapi MCP via npx from Smithery + add Vapi API key13:46 — Claude Desktop: Vapi MCP appears under Connectors/Tools (not Claude web)14:05 — Prompt the agent build: “Fresh Pause” + role, tasks, FAQs, call flows18:23 — Testing: “Talk to assistant” starts a live call simulation19:20 — Deployment: assign a phone number; Vapi provides free/test numbers (up to a limit)21:57 — Mem0 / Supermemory: memory layer across apps/agents to keep context24:13 — Why memory layers help: fewer MCPs → less slowdown/hallucination; no need to specify where to search26:36 — MCPs + slide decks: mention of Gamma MCP via Claude27:34 — Future of n8n/Zapier: they persist, but prompting increasingly generates workflows31:38 — Prediction market trading algos (Kalshi/Polymarket) + AI improves speed/decision-making36:02 — Closing vision: help orgs 10x execution speed, especially non-technical leaders (40+) with domain expertiseTools & technologies mentionedGoogle AI Studio (Video Generation Playground) — Generate an 8-second video ad.Veo 3.1 — Google video model used for “production-level” output.JSON Prompting Framework — Structured key/value prompts for story, visuals, camera, lighting, motion, ending frame.Claude Desktop — Runs connectors/tools (including MCP servers).MCP (Model Context Protocol) — Lets agents call external services/tools based on intent.Smithery — Directory/marketplace for MCP servers.Vapi — Voice agent platform; create agents + assign phone numbers.Vapi MCP Server — Enables Claude to operate Vapi via prompts (create/list/configure).npx — Installs MCP server quickly from the terminal.API Keys — Required for AI Studio generation + Vapi authentication.Mem0 / Supermemory — Cross-channel memory layer to retrieve context automatically.Knowledge Graph — Underlying structure for semantic retrieval across interactions.Glean — Referenced as a comparison point for search/context retrieval.Gamma MCP — Example of generating slide decks via MCP.n8n / Zapier — Workflow automation tools discussed in an MCP-first future.OpenClaw — Mentioned as agent tooling that can help with steps like obtaining API keys.Kalshi / Polymarket — Prediction markets referenced in the trading/AI speed discussion.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Henrik Werdelin is one of my favorite entrepreneurs. He's founded and incubated several unicorns, most notably BARK, the dog happiness company.Henrik himself is a pretty happy guy — an optimistic guy who likes to ask what could go right? — and on the day we recorded (a few months ago as I was squirreling away interviews for the podcast relaunch), he helped me see through some future of tech gloom I was feeling. I honestly can't even remember what Trump+tech hellscape we were living through that week, but I do remember that Henrik put me in a better mood. I think he'll do the same for you, no matter how you're feeling.

Hello to you listening in Layton, New Jersey and Hancock, New Hampshire!Coming to you from Whidbey Island, Washington this is Stories From Women Who Walk with 60 Seconds for Story Prompt Friday the 13th and your host, Diane Wyzga.I'm an East Coast Girl born and raised. Winter was always a time of mystery and majesty. All that snow! All that wild and welcome time to trek, ski, snowshoe, winter camp, and skate frozen ponds. I yearn for the winter activities being enjoyed by my family still Back East; but even more I want what is yet to be. I want Winter's Promise.Winter's Promise“I do an awful lot of thinking and dreaming about things in the past and the future…the timelessness of the rocks and the hills... all the people who have existed there.I prefer winter and fall, when you feel the bone structure of the landscape,the loneliness of it, the dead feeling of winter. Something waits beneath it,the whole story doesn't show.” –Andrew WyethStory Prompt: What is the promise your life holds for you now? What will you do to realize that promise? What are the stakes? Write that story and share it out loud!You're always welcome: "Come for the stories - Stay for the magic!" Speaking of magic, I hope you'll subscribe, share a 5-star rating and nice review on your social media or podcast channel of choice, bring your friends and rellies, and join us! You will have wonderful company as we continue to walk our lives together. Be sure to stop by my Quarter Moon Story Arts website, check out the Communication Services, email me to arrange a no-obligation Discovery Call, and stay current with me as "Wyzga on Words" on Substack.Stories From Women Who Walk Production TeamPodcaster: Diane F Wyzga & Quarter Moon Story ArtsMusic: Mer's Waltz from Crossing the Waters by Steve Schuch & Night Heron MusicALL content and image © 2019 to Present Quarter Moon Story Arts. All rights reserved.  If you found this podcast episode helpful, please consider sharing and attributing it to Diane Wyzga of Stories From Women Who Walk podcast with a link back to the original source.

It's Thursday, February 12th, A.D. 2026. This is The Worldview in 5 Minutes heard on 140 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By Jonathan Clark Olympics can prompt prayer among Christian viewers (Audio of Olympic theme song) Over 3,500 athletes from 93 countries are competing at the 2026 Winter Olympics Games in Milan, Italy this month. Fourteen of these countries are on the Open Doors' World Watch List of the most oppressive places to be a Christian. Those countries include Eritrea, Nigeria, Pakistan, Iran, India, and China.  Open Doors has a message for Christian viewers of the Olympics. They said, “Use the Olympics in a potentially surprising way: to pray.  … Take a moment to think about the situation of your brothers and sisters in that country and pray for it.” You can reference the organization's prayer guide for each country through a link in our transcript today at TheWorldview.com.  Ephesians 6:18 says, “Pray at all times in the Spirit with every prayer and request, and stay alert with all perseverance and intercession for all the saints.” Canadian gunman killed 10 people at school Tragically, a transgender shooter opened fire at a Canadian school on Tuesday, reports LifeSiteNews.com. Jesse Strang, a 17-year-old male pretending to be a female while wearing a dress, reportedly killed 10 people including himself.  He also injured 25 people. It's Canada's deadliest school shooting in decades.   The shooting took place at Tumbler Ridge Secondary School in northeastern British Columbia which has fewer than 200 students enrolled in Grades 7 through 12. Chris Elston, a Canadian pro-family activist, said, “He was a young man who needed serious help for his mental health. Instead, his delusion was affirmed, and the result is murdered innocent children.” Later, Elston added, “Someone needed to tell this kid the truth and help him to be happy as a man, but it's illegal to do so. It's a criminal offense of conversion therapy. So, he never got help and he got worse. Murdered children paid the price for our politicians' stupidity and cowardice. Not even our police can call him a man. A cult has taken over our society. “ Please pray for the families suffering through this unimaginable loss. YouVersion Bible engagement up dramatically in Latin America Online Bible platforms are seeing unprecedented engagement in Latin America so far this year. This trend marks a year since the YouVersion Bible platform established a regional office in Mexico City. On January 1, nearly two million people subscribed to Bible reading plans. And the app saw over 22.2 million active users on the first Sunday of the year. This marks a 20% growth from last year. Countries with record levels of engagement include Mexico, Colombia, Argentina, and El Salvador.   Only 31% o Protestants read Bible daily In the United States, new analysis from Lifeway Research found most Protestant churchgoers don't read the Bible on a daily basis. Seventeen percent of churchgoers read the Bible at least monthly. Fourteen percent read weekly. Thirty percent read a few times a week. And only 31% read the Bible daily. However, the percentage of churchgoers who read the Bible daily or at least a few times a week is now 61%. That's up from 36% in 2007. Romans 12:2 reminds us, “Do not be conformed to this world, but be transformed by the renewing of your mind, that you may prove what is that good and acceptable and perfect will of God.” GOP to FDA: Abortion Kill Pill is hurting women U.S. Senate Republicans criticized the Food and Drug Administration on Tuesday after a closed-door briefing on the abortion kill pill. The FDA is supposed to be conducting a safety review of mifepristone, one of the drugs used in chemical abortions. Republicans are accusing the agency of dragging its feet on the study. Listen to comments from Republican Senator Josh Hawley of Missouri in an interview on Washington Watch with Tony Perkins of the Family Research Council. HAWLEY: “Tony. I just think, at this point, this study, it's vital. It should be done. I don't have any confidence that the FDA is actually going to do it. And, in the meantime, abortions in this country are increasing. There are more abortions now than when Roe was the law of the land. And that's because of this chemical abortion.” U.S. homicides down 20% The Major Cities Chiefs Association released its latest report on violent crime in the U.S. The report collects data from 67 of America's biggest police departments. Compared to 2024, reported homicides were down nearly 20% last year. And reported violent crimes are falling after a surge of reports during the COVID-era shutdowns. 130,000 new American jobs The United States added 130,000 jobs in January, according to the Bureau of Labor Statistics. Analysts expected only 55,000 jobs. It's the biggest job growth in over a year. The gains were led by healthcare, social assistance, and construction.  The unemployment rate remained slightly elevated at 4.3%. 92% of Americans like religious themes in movies & TV And finally, a new survey found most Americans are open to religious themes in movies and TV shows. The 2026 Faith & Entertainment Index found 92% of U.S. adults say faith has a role to play in modern entertainment. And 77% believe it can have broad appeal. Brooke Zaugg, executive director of the Faith & Media Initiative, said, “Religion can feel scary to talk about — like politics — so it creates the illusion that it's a small group. That makes it easy for filmmakers to oversimplify it or not give it much thought, instead of recognizing how valuable faith storytelling can be when it's done well.”  Close And that's The Worldview on this Thursday, February 12th, in the year of our Lord 2026. Follow us on X or subscribe for free by Spotify, Amazon Music, or by iTunes or email to our unique Christian newscast at www.TheWorldview.com.  I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.

What if AI wasn't about doing more — but about helping you live with more clarity, ease, and intention? In this episode of the Wandering But Not Lost Podcast, we demonstrate how AI can be used as a co-pilot for alignment, not a replacement for intuition. Instead of theory or hype, we walk through three live AI prompts designed to help you: Gain clarity on what truly matters today Reset when you feel behind or overwhelmed Create sustainable, personalized health and wellness support This episode is part of our new AI demo series, but it also stands completely on its own. You'll hear how simple, intentional prompts can save time, reduce decision fatigue, and help you reconnect with what matters most — mentally, emotionally, and physically.

#381Dinosaurs of North DakotaNice Games Jam2025.03.13The clubhouse gets Cretaceous this week; your nice hosts have been challenged to create a game about dinosaurs and their feeding habits.PromptMake a game about the feeding habits of dinosaurs or of paleontologists, bonus points if all the dinosaurs are from the same era.Game typeDesign documentPlayer count1RulesCretaceous periodFlowering plants evolved hereEarly mammals here tooVelociraptors too!Different sized dinosaursName: Dinosaurs of North DakotaPlay as big (T-rex), small (dog-sized) and medium (triceratops)Survive a day as each of these creaturesOrder of playMedium first (herbivore)Big next (T-rex)Small last (scavenger)Then Paleontologist discovers (eats chicken with a PLASTIC fork)Where you die determines how preserved the bones are during the paleontology phaseIf you want more preserved bones you have to choose to not live as long (due to how the preservation works)GameplayPlay as the different creatures, the player chooses when that phase of the game endsCan also end after a certain time playedThen you swap to a new creature and play as them, choosing when to endWhen you get back to a creature, time has passed and things are different in the world (partly due to player influence from other creatures)Player knocking down trees might be knocked down in future scenes, eating a lot of plants may make the area sparse in the futureKeep playing as the different creature until enough time has passedAfterwards, play as a paleontologist and rediscover what you've doneRecord what you've done with the knowledge the paleontologist has (and not the player), so it won't actually be accurate to the player's playthroughBased on what the player's done, it can affect what things the paleontologist will be able to say about the state of things after

Once a month we'll be dropping into the feed with a (totally optional) prompt for listener submissions. This month Mauricio is thinking about power in the wake of elections in Costa Rica.Submit your questions here! Hosted on Acast. See acast.com/privacy for more information.

How did prompt engineering die so quickly? ☠️And what the heck does context engineering even mean? One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. But if the engine is constantly changing, then you also have to change how you drive and the roads you take. That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills. Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Evolution from Prompt to Context EngineeringWhy Prompt Engineering Is Now ObsoleteDefining Context Engineering in AI ChatbotsSix-Part Framework for Context EngineeringFour Layer System for Structuring AI ContextBuilding Reusable Context Vaults and SkillsConnecting Business Data to AI ModelsTechniques to Achieve Expert-Level AI OutputsImportance of Context Windows in Large Language ModelsContext Engineering Best Practices and ScalabilityTimestamps:00:00 "Access AI Community & Tools"03:08 "Mastering Context in AI"07:23 "Smart Models Require Less Precision"12:01 "Context Engineering Beats Prompt Engineering"15:49 "AI Context: Six Key Blocks"16:47 "Building Context for Better Results"19:53 "AI: Training, Not Easy Button"25:17 "Chain of Thought Prompting Decline"29:11 "Show, Don't Tell Techniques"32:13 "Context, Reuse, and Scalable Systems"33:19 "AI Chatbots: Memory and Skills"Keywords: context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot, connectors, apps, searchable index, business data, personalized AI, context clues, reference material, examples, procedures, evaluation rubric, chain of thought prompting, generative AI, nondeterministic behavior, show don't tell technique, few shot examples, rubric first technique, grading criteria, output quality, scalable AI systems,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

OpenClaw is the hottest open source AI agent in marketing and in this episode Shawn Reddy from Cliqk pulls back the curtain. He walks us through the OpenClaw dashboard live, demonstrates social media scraping in action and shows the complete setup process so you can see exactly what it takes to get started. This isn't another episode about AI theory. Shawn shows us the real marketing use cases working today including social monitoring, content research and cross platform automation across Gmail, Slack and LinkedIn. You'll see the dashboard, watch social media scraping pull real time insights and understand what the setup looks like from start to finish. Then we confront the security risks head on. Wiz discovered Moltbook exposed 1.5 million API keys. Malicious plugins are exfiltrating private files. Prompt injection attacks are real. If you're handing an AI agent your credentials you need to hear this conversation. We also explore persistent AI memory for personalization at scale, Moltbook's 770,000+ agents and whether agent to agent interaction changes marketing forever, and the governance frameworks brands need before letting agents act on their behalf.

This is an Audio Edition episode—originally published on YouTube and optimized for audio listening.Most people use ChatGPT the wrong way in their job search which costs them interviews and offers. Generic prompts like “update my resume” or “write me a cover letter” lead to generic, cookie-cutter results that recruiters ignore. In this video, I reveal the best ChatGPT prompt formula (C.R.A.E.) that transforms how you write resumes, craft cover letters, prepare for interviews, and send LinkedIn networking messages. By learning this simple AI prompt framework, you'll save time, get personalized outputs, and dramatically improve your chances of landing more job offers.

Watch the video on YouTube here. Most creators are stuck on an exhausting hamster wheel. They're constantly hunting for new customers to buy their $27 product. Let's say they make a hundred sales in a month. Great job! But next month, they start all over, hunting for those same $27 customers again. But what if that same customer became worth $2,000 to your business? Same effort to acquire them, but 235 times more profitable. Show Notes: MiloTree Sign Up for MiloTree FREE: Digital Product Ladder AI Prompt FREE: Product Goldmine AI Prompt Join The Blogger Genius Newsletter Subscribe to the Blogger Genius Podcast: iTunes YouTube Spotify The $27 Trap: Why Most Creators Are Leaving Money on the Table Here's what most of us do: We create that one product, price it at $27, and pour all our energy into getting new people to buy it. We're constantly putting up Instagram posts, Pinterest pins, writing blog posts, sending emails, running ads. And even when it works, the math is terrible. Let's say you get 100 new customers at $27 each. That's $2,700. Sounds good, right? But next month, you need 100 more new customers to make that same $2,700. It never ends. You're always hustling for new people. Meanwhile, those 100 customers you already have? They trusted you enough to buy once—but you're ignoring them while you chase strangers. That's where most creators are leaving thousands of dollars on the table and burning out. If you're feeling this exhaustion, you're not alone. In my post on why people won't pay for information anymore, I talk about how the old model of selling one product isn't working in 2026. The solution isn't more hustle—it's a smarter business model. What Is a Digital Product Ladder? Here's what smart creators do instead. They build what I call a digital product ladder, and it completely changes the economics of your business. Instead of selling one thing and moving on, you create a journey for your customer: The 6 Rungs of a Product Ladder Freebie/Lead Magnet – This is how you earn their trust. They end up on your email list. Tripwire Product ($27) – Something small that goes deeper at solving their problem. They buy it, get results, and now trust you even more. Product Bundle ($97) – A comprehensive solution combining multiple resources. Course or Coaching ($297) – Premium transformation and deeper support. Membership (Recurring) – They're paying you every month for ongoing value and community. Mastermind/High-Touch Program – For serious implementers who want direct access to you. Same customers. One acquisition cost. But instead of making $27, you're making over $2,000 over time from that same person. And here's the beautiful part: Each sale after the first one costs you almost nothing. They already know you. They already trust you. They are easier to sell to than a complete stranger. This is exactly why I teach the upsell and order bump strategy inside MiloTree—it's the fastest way to increase your customer lifetime value without finding new customers. Your Action Plan: Start Today Here's what I want you to do right now: Step 1: Grab the AI Prompt Download my complete Digital Product Ladder AI Prompt — it's free. Run it for your topic tonight. Don't wait. Step 2: Sign Up for MiloTree's Free Plan Sign up here — no credit card needed. Set up your freebie lead magnet, test it, and see how easy this all is. Step 3: Build Your Full Ladder When you're ready to build your full ladder, upgrade to one of our paid plans. They start at just $19/month. Most people do this within the first two weeks of signing up. What gets them upgraded? The ability to offer multiple freebies to grow their email list faster—so they have more people to sell to. The Bottom Line With MiloTree, you have everything you need to turn that $27 customer into a $2,000 customer. Stop chasing strangers. Start building real relationships. That's how you get to $1,000, $5,000, $10,000 a month without burning out. Other Related Blogger Genius Podcast Episodes You'll Enjoy: How to Pivot from Ad Revenue to $12,500/Month Selling Digital Products The 5 Digital Products Creators Will Use to Make $10K–$50K/Month in 2026 How to Increase Your Revenue with Upsells and Order Bumps How to Automate Your Digital Product Sales and Make Money While You Sleep   Ready to build your product ladder? Start with MiloTree's free plan →  

This Week In Startups is made possible by:Crusoe Cloud - https://crusoe.ai/savingsLemon IO - https://Lemon.io/twistNorthwest Registered Agent - https://www.northwestregisteredagent.com/twistThanks to our guests:Alex Cheema of ExoLabs http://exolabs.netRyan Yanneli of NextVisit https://nextvisit.ai/Today's show: It's the Age of Ultron at TWiST and LAUNCH. We've given our OpenClaw digital Replicants the keys to all of our systems and we're seeing how much of our jobs they can really do when left to their own devices.Producer Oliver stops by the show to give us a peek behind the curtain, at the new control panel and dashboard OpenClaw built FOR ITSELF (with a bit of human assistance).PLUS we're joined by Alex Cheema of ExoLabs. His company helps everyday consumers run powerful frontier LLMs on their own devices, essential to protect your data and personalize your AI experience.ALSO congratulations to Ryan Yanneli from NextVisit on winning our Gamma Pitch Deck Competition! He walks away with $25K from LAUNCH and our friends at Gamma.Timestamps:(00:00) Introducing Alex Cheema to the show(3:17) Why it is so important to run AI on local hardware(6:58) Using OpenClaw Producer to automate TWiST(8:59) How to Train your AI(11:58) What is a Chron Job? (Hint: chron means chronological)(13:24) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/savings to reserve your capacity for the latest GPUs today.(17:53) OpenClaw managing the LAUNCH/TWiST team(19:54)  Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(20:58) Turning AI into Ultron, self optimization(27:21) The Future: frontier models: running on your Iphone!(28:37) Prompt injections: how people can hack your OpenClaw(30:25) Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity —  Learn more at https://www.northwestregisteredagent.com/twist(31:31) OpenClaw invites guests that join the show(40:29) Oliver shows off OpenClaw mission control dashboard(46:30) Stacking Apple Silicon vs. Running Kimi-K(50:18) How Exo Labs works — stringing together Mac Silicon(54:29) Ryan from Nextvisit wins Gamma Pitch Competition(59:10) Industry Season 4 reflects tech regulation*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(13:24) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/savings to reserve your capacity for the latest GPUs today.(19:54)  Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(30:25) Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity —  Learn more at https://www.northwestregisteredagent.com/twistCheck out all our partner offers: https://partners.launch.co/

AI agents aren't “coming” to Ethereum—they're already here, spinning up on dedicated machines, clicking through wallets, deploying contracts, and even building apps for themselves. In this episode, Ryan and David sit down with Davide Crapis and Austin Griffith to map the emerging agent stack: ERC-8004 as a decentralized identity + reputation layer, x402 as payment rails for agent-to-agent commerce, and the real-world “Clawdbot” experiments that show what happens when an agent gets a wallet, a codebase, and a mandate. Along the way: prompt-injection risks, why agents read calldata like it's their native language, and why it may be the best time in history to be a solo builder—even as it gets harder to be a junior dev. ---

Wes and Scott talk with Armin Ronacher and Mario Zechner about PI, a minimalist agent harness powering tools like OpenClaw. They unpack why Bash is “all you need,” the risks of agents, workflow adaptability, and where AI coding agents are actually headed. Show Notes 00:00 Welcome to Syntax! 03:28 What is Pi, and why does it matter? OpenClaw 05:54 What do we actually mean by “agents”? 11:04 Prompt injection: how LLMs get tricked 14:19 Is Claude Cowork actually secure? 22:01 How Armin and Mario use agents day to day 26:37 Brought to you by Sentry.io 27:25 Memory and search: teaching agents to remember 33:04 Do coding agents even need memory? 34:36 “Bash is all you need” 37:21 Adding power: how agents learn new tricks 47:02 Tools and models Armin and Mario are using right now 54:15 Sick picks + shameless plugs Sick Picks Mario: Cards for Ukraine Armin: Pro-Ject Audio Turntable Shameless Plugs Armin: Thorsten Ball Newsletter Simon Willison Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads