Podcasts about prompt engineering

In this episode of "Alter Everything," we sit down with Andrew Merrill, Alteryx product specialist and advocate, to explore best practices for integrating AI and LLMs into data analytics processes. Some topics we discuss include proven design patterns for generative AI, such as feedback loops, routing, and RAG architectures, and learn how to avoid common pitfalls like token overuse and data governance challenges. Andrew shares real-world use cases, tips for leveraging Alteryx Co-pilot, and strategies for prompt engineering to maximize workflow efficiency. Panelists: Andrew Merrill, Alteryx Consultant - @CoG, LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Alteryx Gen AI ToolsAlteryx Co-pilotAlteryx Inspire Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

CMMC 2.0 explained in plain English — what it means for small businesses, defense contractors, and vendors across the DoD supply chain. Learn about Level 1 vs Level 2, self-attestation risks, C3PAO shortages, compliance deadlines, and how to stay audit-ready before 2025.Don't miss out on crucial information about the CMMC 2025 deadline. The Cybersecurity Maturity Model Certification is a vital requirement for businesses dealing with the Department of Defense. If you miss the deadline, you risk losing contracts and facing severe penalties. In this video, we'll explore the consequences of missing the CMMC 2025 deadline and provide valuable insights on how to prepare and stay compliant. Stay ahead of the game and ensure your business is CMMC-ready. Find out what happens if you missed the deadline and learn how to avoid costly mistakes. Tune in now and take the first step towards CMMC compliance. CHAPTERS00:00 – The 4 Letters That Can End Your Business00:15 – CMMC 2.0: Why November 10, 2025 Changes Everything01:35 – Meet the Expert: Frontline View from a CMMC Assessor02:59 – What Is CMMC (In Plain English)?04:20 – FCI vs CUI: The Data That Decides Your Level07:05 – Are You Level 1 or Level 2? How the Flow-Down Really Work10:05 – Why the DoD Stopped “Trusting” Small Contractors11:40 – Supply-Chain Breaches: How Third Parties Take You Down13:00 – Level 1: The 17 “Basic” Controls Everyone Ignores17:00 – The Dangerous Game of Fudging Your Self-Attestation21:15 – Level 2: 110 Controls, SSPs, and the Reality of NIST 800-17123:40 – C3PAO Bottleneck: Why Waiting Means Losing Contracts26:30 – POA&M and the 180-Day “Grace” Trap32:05 – Surprise: Printers, MSPs, and “Non-Defense” Vendors in the Blast Radius35:15 – CMMC Is Not Going Away (And Other Hard Truths)37:05 – Countdown to FallSend us a textGrowth without Interruption. Get peace of mind. Stay Competitive-Get NetGain. Contact NetGain today at 844-777-6278 or reach out online at www.NETGAINIT.com Support the show

W 188 odcinku podcastu Business Marketer rozmawiamy o raporcie badającym rzeczywiste wykorzystanie sztucznej inteligencji przez marketerów w Polsce. W przeciwieństwie do badań deklaratywnych, raport powstał na podstawie obserwacji faktycznych zachowań użytkowników narzędzi AI - analizy promptów, konwersacji i wzorców pracy.Paradoks AI - kluczowe odkrycieSilna korelacja (-0,8) między jakością promptu a skomplikowaniem zadaniaIm prostsze zadanie (np. zmiana koloru na zdjęciu), tym lepsze promptyIm bardziej skomplikowane zadanie (np. strategia marketingowa), tym gorsze promptyEfekt Krugera-Dunninga w działaniu: mniejsza wiedza = większe oczekiwania magicznych efektówCztery archetypy marketerów korzystających z AI:Googlerzy (65% użytkowników)Traktują AI jak wyszukiwarkę GoogleZadają proste pytania, oczekują gotowych odpowiedziCzęsto nie weryfikują źródeł i nie włączają wyszukiwania w sieciNajmniej zaawansowana, ale najliczniejsza grupaKonwersacjoniści (25% użytkowników)Prowadzą dialog z AI krok po krokuUszczegóławiają zapytania w trakcie rozmowyPoświęcają najwięcej czasuProblem: często dają płytki feedback ("nie podoba mi się to" zamiast konkretnych wskazówek)Menedżerowie (9% użytkowników)Konstruują zadania jak dobry menedżer dla zespołuOpisują kontekst, cele i preferencjeKoncentrują się na efekcie końcowym, nie na formatowaniuWyższa satysfakcja z wyników (więcej pobrań)Inżynierowie promptów (1% użytkowników)Stosują wzorcowe techniki promptowaniaStruktura: persona + zadanie + kontekst + formatowanieNajbardziej zaawansowana grupaKluczowe wnioski z raportu:Marketerzy rzadko uwzględniają perspektywę klienta w promptachSłowa "klient", "target", "segment" pojawiają się bardzo rzadkoProblem z feedbackiem - zbyt ogólny i emocjonalny zamiast konkretnegoBrak klientocentryczności w komunikacji z AIAI w tworzeniu strategii:Brak "magicznych" rozwiązań po jednym prostym zapytaniuPotrzeba dostarczenia unikatowych danych o firmie, celach, KPIFrameworki z AI często zbyt podstawowe (pierwsze z Google)Przyszłość: wieloagentowe systemy z przetestowanymi frameworkamiLink do raportu znajdziesz na stronie: https://dfirst.ai/access-insights---------Rozmawiam też z naszym stałym korespondentem książkowym Pawłem Jaczewskim na temat książki "Przyczepne Historie"Książka „Przyczepne historie” pokazuje, jak tworzyć opowieści, które zapadają w pamięć i angażują odbiorców. Autor wyjaśnia mechanizmy skutecznej narracji, podaje praktyczne przykłady i narzędzia, dzięki którym Twoje komunikaty będą bardziej wpływowe i Partnerem podcastu jest Pluxee - globalny lider na rynku narzędzi zwiększania sprzedaży. Pluxee tworzy również treści dla marketerów i handlowców. Dlatego polecam Wam serdecznie najnowszy raport pluxee „ROI w akcji – promocje i nagrody, które zdobywają klienta i napędzają sprzedaż”Pobierz raport na stronie: https://www.pluxee.pl/raport-roi-2025/ Po więcej materiałów o marketingu B2B zapraszam na mój blog: https://businessmarketer.pl Skorzystaj z kodu rabatowego "BUSINESSMARKETER" aby złapać zniżkę na książki wydawnictwa MT Biznes (te, które nie są przeceniowe lub w w promocji) Masz pomysł na odcinek podcastu? Napisz do mnie: lukasz.kosuniak@businessmarketer.pl

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Kreative, hört auf, KI zu fürchten. Nutzt sie, führt sie. Kombiniert Tools, bleibt menschlich. Michael sagt's simpel: „Experimentiert, aber mit Kontrolle.“ Wenn Du über alles aktuelle im Social Ads Kosmos Bescheid wissen möchtest, abonniere gerne unseren Podcast. Hier kriegst Du deinen wöchentlichen Nerds-Input. 🤓 Hier geht es zum [Blog](https://www.dienerds.com/blog), zu unseren [offenen Stellenanzeigen](https://www.dienerds.com/jobs-bei-den-nerds) und zu unserem [Kontaktformular](https://www.dienerds.com/kampagnensteuerung).

Kreative, hört auf, KI zu fürchten. Nutzt sie, führt sie. Kombiniert Tools, bleibt menschlich. Michael sagt's simpel: „Experimentiert, aber mit Kontrolle.“ Wenn Du über alles aktuelle im Social Ads Kosmos Bescheid wissen möchtest, abonniere gerne unseren Podcast. Hier kriegst Du deinen wöchentlichen Nerds-Input.

Kreative, hört auf, KI zu fürchten. Nutzt sie, führt sie. Kombiniert Tools, bleibt menschlich. Michael sagt's simpel: „Experimentiert, aber mit Kontrolle.“ Wenn Du über alles aktuelle im Social Ads Kosmos Bescheid wissen möchtest, abonniere gerne unseren Podcast. Hier kriegst Du deinen wöchentlichen Nerds-Input. 🤓 Hier geht es zum [Blog](https://www.dienerds.com/blog), zu unseren [offenen Stellenanzeigen](https://www.dienerds.com/jobs-bei-den-nerds) und zu unserem [Kontaktformular](https://www.dienerds.com/kampagnensteuerung).

In this insightful episode, explore why everyone is becoming an AI operator and why mastering prompt engineering is the key differentiator in the modern workforce. Learn how to effectively communicate with AI to get the results you want—a skill that takes just 10 minutes of proper setup versus 50 minutes of back-and-forth fixes. The conversation also delves into global marketing challenges across different cultures and geographical regions, examining real examples from Sweden to the UK to show how cultural nuances still matter despite the supposed cultural flattening from media. A major part of this discussion focuses on demystifying "revolutionary" technology buzzwords. Discover how cloud computing, APIs, and AI integration aren't actually new—they're just rebranded existing concepts with fancy names. From AWS RDS being just hosted MySQL to MCP being REST API calls, learn to see through the marketing terminology and recognize the simplicity beneath. The episode concludes with thought-provoking discussions about AI's potential for real-world task automation, existential risks, and why treating AI like a good team member with proper context and instructions leads to superior results. Perfect for: Content creators, social media managers, and anyone looking to understand modern technology without the jargon. Try Vista Social for FREE today Book a Demo Follow us on Instagram Follow us on LinkedIn Follow us on Youtube

On this episode of FDE+, Kortney Harmon and Mike Wolford, CEO of LexDuo, explore how AI is redefining what it means to be a recruiter—and why the future belongs to those who build with it, not just use it.They discuss how recruiters are moving beyond basic prompting into programming and workflow design—creating custom GPTs, connecting APIs, and automating tasks that once drained hours from their day. Mike also explains how imagination has become a recruiter's new competitive advantage and outlines the ethical and legal considerations that come with building AI-driven systems.Key Takeaways • The three levels of AI adoption and how each elevates recruiter performance • Why creativity, not coding, defines success in the AI-driven era • How API connections can integrate your ATS, CRM, and communication tools • The coming divide between corporate TA and staffing—and where opportunity grows • How to “automate and elevate” recruiting by combining AI precision with human judgmentDiscover how forward-thinking recruiters are using AI to amplify—not replace—the human side of hiring.___________Follow Mike Wolford on LinkedIn: LinkedIn | Mike Check out his website: lexduo.net Follow Crelate on LinkedIn: Crelate Want to learn more about Crelate? Book a demo here Subscribe to our newsletter: The Full Desk Experience

In this episode of "The Free Lawyer" podcast, host Gary interviews guest Ana Juneja, an IP lawyer and entrepreneur. They discuss Ana's journey from law firm associate to media company owner. Ana shares how she sold her media business to focus on law and explains how AI has revolutionized her firm's transactional work, enabling a small team to serve clients efficiently. She offers insights on trademark protection, debunks common IP myths, and highlights the importance of early trademark registration. The episode highlights the importance of innovation, transparency, and leveraging AI and social media to empower lawyers and improve client service.As an award-winning intellectual property attorney and the founder of Ana Law®, Ana Juneja is redefining how attorneys leverage AI to create impactful social media content.She empowers celebrities, athletes, influencers, start-ups, entrepreneurs, and corporations to not only protect their brands and ideas but also amplify them across digital platforms using cutting-edge AI-driven strategies.Ana Law® is the first and only law firm offering flat-fee, 100% guaranteed patent, trademark, and copyright services, with Ana maintaining a 100% success rate.Beyond traditional legal work, she speaks widely on the intersection of AI, law, and social media, helping professionals understand how emerging technologies can safeguard and scale their influence.AI's Impact on Legal Practice (00:03:04)Scope of IP and Transactional Work (00:04:20)Scaling with AI (00:05:47)Lawyers' Resistance to AI (00:06:42)AI in Transactional vs. Litigation Work (00:07:37)Best Uses of AI in Litigation (00:09:23)Lawyer Hesitancy and AI Psychosis (00:10:26)Big Law Firms and AI Adoption (00:11:41)Prompt Engineering and Lawyer Skillsets (00:14:10)Ana's Background at USPTO (00:16:02)IP Protection for Businesses (00:17:09)]Basic IP Protections for Businesses (00:19:06)Automating Client Communication with AI (00:21:39)Common IP Misconceptions (00:23:25)Client Types and Fee Structure (00:24:11)Service Guarantees in Legal Practice (00:26:02)Advice for Lawyers New to AI (00:26:54)Personal Freedom and Business Systems (00:27:49)Would you like to learn what it looks like to become a truly Free Lawyer? You can schedule a courtesy call here: https://calendly.com/garymiles-successcoach/one-one-discovery-callWould you like to learn more about Breaking Free or order your copy? https://www.garymiles.net/break-free

In diesem Jobcast® hörst du Holger, Manager Product Development bei SupplyOn, der über die vielschichtige Rolle von Product Ownern spricht. Es geht um agile Methoden, End-to-End Verantwortung, Prompt Engineering und ein internes Kompetenzmodell.Zitat aus dem Gespräch:„Es ist nicht nur trockenes User Story schreiben, sondern ein wirklich konkretes Ausarbeiten auf technischem Level und diskutieren auf Augenhöhe mit der Softwareentwicklung.“

In this live SocialNext: Toronto 2025 conversation, guest host Maddie Alvarez sits down with Charlie Grinnell, digital leader turned co-CEO of research startup Right Metric (ex-Red Bull, Aritzia, adidas Terrex). Buckle up for sharp, candid takes on why language matters more than ever, how to separate opinions from evidence, and why the most effective strategies are often about reduction, not expansion. From buzzword bingo to AI's real role in decision-making, Charlie breaks down how to turn messy metrics into clear choices, without needing a stats degree.Opinions are the guest's own.

This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents.  Visit https://agntcy.org/ and add your support. How is Coxwave Redefining AI Evaluation? In this episode of Eye on AI, host Craig Smith is joined by Yeop Lee, Head of Product at Coxwave. Together they explore how teams move beyond accuracy-only metrics to outcome focused evaluation with Coxwave's Align. We look at how Align measures satisfaction, trust, and task completion across chat, email, and voice, how LLM as judge pairs with human review, and how product teams search conversations to find hidden failure patterns that block adoption. Learn how leading companies design an evaluation stack that guides prompts, agents, and UX, which pitfalls to avoid when shipping updates, and which metrics matter most for success, including completion rate, CSAT, retention, and cost per resolution. You will also hear how to run experiment tracking with model and prompt change logs, set up governance that prevents regressions, and choose between SaaS and on premise deployments that meet security and compliance needs. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

24.10.2025 | Dijital Hayat Bölüm557 - TRT Radyo1 | "Yapay Zeka ile Etkili İletişim: Prompt Engineering" Bilal Eren'in hazırlayıp, sunduğu Dijital Hayat programımızda bu hafta; Yazılım Mühendisi Fatih Kadir Akın ile; - Prompt Engineering Nedir? - Prompt Engineering, Girdi, Komut, İster, Hızlı, Sufle, Talimat gibi Hangi Türkçe Kelime ile Tanımlanabilir? - Hiç Bilmeyenler için Girdi/Komut Mühendisliği Rehberi? - Prompt Engineering, Yapay Zeka ile En Etkili ve Doğru İletişimi Kurmak mı? - Arama Motorlarındaki Verdiğimiz Talimatlardan Farkı Ne? - Yapay Zeka Tarafında Prompt Engineering Aşamaları Neler? - En Etkili Prompt, Talimat/Komut Tasarımı Nasıl Olur? - Prompt Engineering ile Hem Dil Hem Makine mi Eğitiliyor? - Prompt Engineering Uzmanı Nasıl Olunabilir? - Prompt Engineering Yeni Bir Meslek ve Yetenek mi? - Prompt Engineering Eğitimleri? - Prompt Engineering ile En İyi Sonuçlar Veren Yapay Zeka Asistanı (ChatGPT, Grok, Gemini, Copilot, Deepseek gibi) Hangisi? Başlıklarını konuştuk. Dijital Hayat, her cuma saat 15:30'da TRT Radyo1 mikrofonlarında canlı yayında... Tüm geçmiş ve gelecek yayınlarımız için; Web: https://www.dijitalhayat.tv

קצת אחרי שChatGPT יצא, נטבע המושג Prompt Engineering - איך לבחור את המילים הנכונות כדי לגרום לבינה מלאכותית לעשות בדיוק את מה שאנחנו רוצים. היו נבואות שזה יהפוך למקצוע העתיד, שכל חברה תעסיק מומחים בתחום. מה שקצת פחות קרה. שנתיים וחצי קדימה, אנדריי קרפטי קבע מושג חדש - Context Engineering. האומנות והמדע העדין של מילוי החלון הקונטקסטואלי בדיוק במידע הנכון. בפרק מתארח לי טוויטו, מייסד Lank Talks, לשיחה על איך זה באמת עובד בפועל. איך מונעים מאייג'נטים לקבל קונטקסט לא רלוונטי, למה sub-agents פותרים בעיות שלא ידענו שיש לנו, ואיך מנהלים זיכרון ארגוני נכון. האזנה נעימה, עמית בן דור.

This week, Adrian is joined by the insightful and irrepressibly forward-thinking Electra Japonas, founder of TLB, creator of the OneNDA initiative and now Chief Legal Officer at Law Insider. Electra shares her journey from aerospace contracts to legal entrepreneurship, revealing how she carved out a new kind of legal career by trusting her instincts and refusing to settle for outdated ways of working.This conversation dives into Electra's cross-border, cross-discipline legal career and explores some bold and exciting ideas shaping the future of law:How Electra's early years in the European Space Agency and Airbus exposed her to process design, supplier complexity, and the (often painful) interface between law and innovation;Why she stepped away from traditional practice to found The Law Boutique (TLB) and what she learned from bootstrapping a legal ops consultancy with no funding and two pregnancies;The origin of OneNDA, how a single viral LinkedIn post turned into a global standard and why its eventual acquisition by Law Insider gave her “relief, not euphoria”;Why Electra believes AI is already reshaping the legal profession and that “prompt engineering is the new drafting”, meaning lawyers must systematize their judgment, not just repeat it; andHow legal professionals can future-proof themselves by becoming architects, not executors, of knowledge, and why curiosity, collaboration and codified instinct are the new superpowers.

-------------------About Manuel Suarez:Manuel Suarez, known as the "Marketing Ninja" and a "Best Selling Author" of "Marketing Magic", leads Attention Grabbing Media (AGM), a marketing agency honored three times on the Inc 5000 list. With a team of over 120, AGM specializes in turning attention into profit for a wide array of brands. In 2023 alone, brands managed by AGM exceeded 250 million USD in revenue.Manuel is also the co-founder of NaturalSlim, a self-funded high 9-figure brand. He has elevated thousands of businesses across various sectors and has directed marketing campaigns for industry leaders like Dr. Eric Berg, Grant Cardone, and Daymond John.He is also responsible for two of the top 15 largest U.S. YouTube channels—Dr. Eric Berg and MetabolismoTV—which together have over 20 million subscribers. Over seven years, his strategies have amassed 8 billion views, generated 5 million leads, and earned over 500 million USD in revenue.Follow Manuel Suarez on Social Media:- Facebook: https://www.facebook.com/theninjamarketer/- Instagram: https://www.instagram.com/mrmanuelsuarez/- TikTok: https://www.tiktok.com/@mrmanuelsuarez- X (formerly Twitter): https://x.com/MrManuelSuarez- LinkedIn: https://www.linkedin.com/in/mrmanuelsuarez/Learn More About AGM:- Visit our website: https://www.agmagency.comNeed Help with Your Marketing?- Talk to a Ninja: https://www.talktoaninja.comCheck Out Manuel's Book, a #1 Seller on Amazon:- Marketing Magic by Manuel Suarez: https://a.co/d/gbwHKSf

AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI's O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and simple enough to verify the output without deep code inspection. For these thermomix moments, AI proved genuinely transformative. The Pachinko Trap and Tech Stack Matters "It became way more stable when I switched to Svelte from React Native and Flutter, even following the same prompting practices. The AI is just more proficient in certain tech stacks." Alan discovered that some frameworks and languages work dramatically better with AI than others, likely due to the amount of training data available. His e-learning platform attempts with React Native and Flutter kept breaking, but switching to Svelte with web-based deployment became far more stable. This suggests a crucial strategy: choose mainstream, well-documented technologies when planning AI-assisted projects. From Coding to Living with AI Alan has completely stopped using traditional search engines, relying instead on LLMs for everything from finding technical documentation to getting recommendations for books based on his interests. While he acknowledges the risk of hallucinations, he finds the semantic understanding capabilities too valuable to ignore. He's even used image analysis to troubleshoot his father's cable TV problems and figure out hotel air conditioning controls. The Agile Validation "My only fear is confirmation bias—but the conclusion I see other experienced developers reaching is that the only way to make LLMs work is by making them use agility. So look at who's dead now." Alan notes the irony that the AI coding tools that actually work all require traditional software engineering best practices: small iterations, test-driven development, continuous integration, and explicit refactoring. The promise of "just describe what you want" falls apart without these disciplines. Rather than replacing software engineering principles, AI tools seem to validate their importance. About Alan Cyment Alan Cyment is a consultant, trainer, and facilitator based in Buenos Aires, specializing in organizational fluency, agile leadership, and software development culture change. A Certified Scrum Trainer with deep experience across Latin America and Europe, he blends agile coaching with theatre-based learning to help leaders and teams transform. You can link with Alan Cyment on LinkedIn.

In this issue of the Future of Cyber newsletter, Sean Martin digs into a topic that's quietly reshaping how software gets built—and how it breaks: the rise of AI-powered coding tools like ChatGPT, Claude, and GitHub Copilot.These tools promise speed, efficiency, and reduced boilerplate—but what are the hidden trade-offs? What happens when the tools go offline, or when the systems built through them are so abstracted that even the engineers maintaining them don't fully understand what they're working with?Drawing from conversations across the cybersecurity, legal, and developer communities—including a recent legal tech conference where law firms are empowering attorneys to “vibe code” internal tools—this article doesn't take a hard stance. Instead, it raises urgent questions:Are we creating shadow logic no one can trace?Do developers still understand the systems they're shipping?What happens when incident response teams face AI-generated code with no documentation?Are AI-generated systems introducing silent fragility into critical infrastructure?The piece also highlights insights from a recent podcast conversation with security architect Izar Tarandach, who compares AI coding to junior development: fast and functional, but in need of serious oversight. He warns that organizations rushing to automate development may be building brittle systems on shaky foundations, especially when security practices are assumed rather than applied.This is not a fear-driven screed or a rejection of AI. Rather, it's a call to assess new dependencies, rethink development accountability, and start building contingency plans before outages, hallucinations, or misconfigurations force the issue.If you're a CISO, developer, architect, risk manager—or anyone involved in software delivery or security—this article is designed to make you pause, think, and ideally, respond.

In this issue of the Future of Cyber newsletter, Sean Martin digs into a topic that's quietly reshaping how software gets built—and how it breaks: the rise of AI-powered coding tools like ChatGPT, Claude, and GitHub Copilot.These tools promise speed, efficiency, and reduced boilerplate—but what are the hidden trade-offs? What happens when the tools go offline, or when the systems built through them are so abstracted that even the engineers maintaining them don't fully understand what they're working with?Drawing from conversations across the cybersecurity, legal, and developer communities—including a recent legal tech conference where law firms are empowering attorneys to “vibe code” internal tools—this article doesn't take a hard stance. Instead, it raises urgent questions:Are we creating shadow logic no one can trace?Do developers still understand the systems they're shipping?What happens when incident response teams face AI-generated code with no documentation?Are AI-generated systems introducing silent fragility into critical infrastructure?The piece also highlights insights from a recent podcast conversation with security architect Izar Tarandach, who compares AI coding to junior development: fast and functional, but in need of serious oversight. He warns that organizations rushing to automate development may be building brittle systems on shaky foundations, especially when security practices are assumed rather than applied.This is not a fear-driven screed or a rejection of AI. Rather, it's a call to assess new dependencies, rethink development accountability, and start building contingency plans before outages, hallucinations, or misconfigurations force the issue.If you're a CISO, developer, architect, risk manager—or anyone involved in software delivery or security—this article is designed to make you pause, think, and ideally, respond.

Anita Verma is Senior Advisor at Dell Technologies. The discussion centres around employee influence, thought leadership, and how organisations can harness their people as authentic brand advocates. With over 25 years of experience in learning and development, she has successfully managed global programs, developed strategic partnerships, and created engaging content to drive a sales pipeline that serves all IT audiences, at all levels too. Anita is certified in Generative AI and Prompt Engineering and hold a National Diploma in Business Administration and Management from Richmond upon Thames College, and a Level 4 qualification in Adult Teaching from City & Guilds of London Art School. Trained by the Association of Talent Development, Boston, USA in the art of Creative Training Techniques under the instruction of Bob Pyke. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Robby welcomes Dan Cleary, Co-founder and CEO of PromptHub, an organisation focused on enhancing LLM-based applications. He's also one of the organisers behind the Prompt Engineering Conference, the world's first event exclusively dedicated to prompt engineering, taking place in London on October 16th.They discuss prompt engineering and management, what to expect from the upcoming conference, and what this emerging field means for enterprise AI and security.Cleary also shares why centralised prompt management matters, how AI's role in enterprise adoption is evolving, and what security professionals should explore to stay ahead.Send us a text

Welcome back to the Alt Goes Mainstream podcast.Today's episode provides a fascinating window into the world of private equity value creation and how AI can help transform both portfolio company and investment firm processes and operations to create value.We sat down in New York with Hg Partner and Head of Value Creation Chris Kindt to dive into how he spearheaded the growth of the firm's in-house value creation efforts and has built a high-performing team to meet the evolving needs of portfolio companies.Chris brings 15 years of experience in architecting and driving value creation to bear, with 11 years of experience at Hg and another 8 years as a consultant at BCG and Parthenon.Chris and his team are responsible for driving value across a portfolio of 55 companies that represents over $180B in enterprise value and would represent the second largest software company in Europe after SAP if it were a conglomerate.Chris and I had a thought-provoking discussion about value creation and the impact of AI on investing and operating companies. We discussed:How to build a high-performing value creation team.Where value creation has the biggest impact.How AI is transforming investment processes.How Hg has become an “AI-first” investment firm.Where AI will have the most impact in a company today and why agentic AI is transforming certain roles and processes within companies.How professionals can generate the most leverage from utilizing AI – without having cognitive decline.Why prompting and prompt engineering is so critical in the age of AI (and how you can use your weekends to perfect prompt engineering).How a management team can buy into AI and why the current time period represents an interesting opportunity for incumbents, particularly for those building mission-critical enterprise software.Thanks Chris for sharing your expertise and wisdom on company building and AI. We hope you enjoy.Note: this episode was filmed in August 2025.A word from AGM podcast sponsor, Ultimus Fund SolutionsThis episode of Alt Goes Mainstream is brought to you by Ultimus Fund Solutions, a leading full-service fund administrator for asset managers in private and public markets. As private markets continue to move into the mainstream, the industry requires infrastructure solutions that help funds and investors keep pace. In an increasingly sophisticated financial marketplace, investment managers must navigate a growing array of challenges: elaborate fund structures, specialized strategies, evolving compliance requirements, a growing need for sophisticated reporting, and intensifying demands for transparency.To assist with these challenging opportunities, more and more fund sponsors and asset managers are turning to Ultimus, a leading service provider that blends high tech and high touch in unique and customized fund administration and middle office solutions for a diverse and growing universe of over 450 clients and 1,800 funds, representing $500 billion assets under administration, all handled by a team of over 1,000 professionals. Ultimus offers a wide range of capabilities across registered funds, private funds and public plans, as well as outsourced middle office services. Delivering operational excellence, Ultimus helps firms manage the ever-changing regulatory environment while meeting the needs of their institutional and retail investors. Ultimus provides comprehensive operational support and fund governance services to help managers successfully launch retail alternative products.Visit www.ultimusfundsolutions.com to learn more about Ultimus' technology enhanced services and solutions or contact Ultimus Executive Vice President of Business Development Gary Harris on email at gharris@ultimusfundsolutions.com.We thank Ultimus for their support of alts going mainstream.Show Notes00:00 Message from our Sponsor, Ultimus01:18 Welcome to the Alt Goes Mainstream Podcast02:10 Guest Introduction: Chris Kindt03:58 Chris Kindt's Background and Journey05:43 Value Creation at Hg06:55 Pre-Investment and Diligence Process07:44 Management Team Dynamics08:40 Common Value Creation Interventions11:14 Building a Cross-Functional Team12:31 Scaling the Value Creation Team15:40 Measuring Value Creation Impact17:49 Investment Philosophy: Inch Wide, Mile Deep19:28 Partnerships with Management Teams20:03 Embedding AI in Value Creation20:24 Internal vs External AI Applications21:47 AI First Culture22:18 Effective AI Utilization24:04 Prompt Engineering and Whispering26:25 Choosing the Right AI Models26:50 AI Models: Strengths and Weaknesses27:42 Transformative Impact of AI28:21 Skills Needed in the AI Era28:26 AI's Role in Investment Firms28:55 Core Insights and Judgements29:04 The Core Skillset and Efficiency29:12 Philosophical Questions on AI and Talent Development30:18 Building Grit in the Age of AI31:12 Maintaining Discipline with AI32:08 AI as a Value Creation Lever32:35 Operational Efficiency and Copilots33:43 Emergence of Reasoning Models and Agentic Frameworks34:31 10x Efficiency in Engineering36:24 Challenges in Implementing AI37:16 AI Immersion Strategy Days39:52 Organizational Agility and AI42:15 AI's Impact on Investment Strategies43:26 AI in Mergers and Acquisitions45:29 The Importance of Proprietary Data47:12 AI Fatigue and Disillusionment48:07 Building AI Products and Agentic Products48:58 Hg's Internal AI Incubator49:59 The Next Wave of AI51:19 Voice and Multimodality in AI51:55 Globalization and Internationalization of AI53:35 Overestimating and Underestimating AI's Impact54:54 The Competitive Landscape of AI55:42 The Future of Value Creation with AI56:23 Conclusion and Final ThoughtsEditing and post-production work for this episode was provided by The Podcast Consultant.

This is an outstanding AI based discussion of my post, What's All The Fuss, Prompt Engineering Isn't New.  I've noticed the discussions seem much better when they are talking about AI.  I suppose that's natural, we love talking about ourselves  ;-)  Enjoy! Here's the link to the original post:  https://partnersinexcellenceblog.com/whats-all-the-fuss-prompt-engineeringisnt-new/ 

In this Alter Everything Episode, we sit down with Nick Schrock, CTO and founder of Dagster Labs, to discuss the essentials of AI data readiness, the challenges organizations face in context engineering, and the importance of governance in AI-driven data workflows. If you choose to tune in, you will learn how to prepare your data for AI, implement effective data pipeline strategies, and navigate organizational AI mandates. Panelists: Nick Shrock, Founder @ Dagster Labs - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Dagster Labs Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

New Episode! Tell us your feedback! Is Your Company Safe From AI Attacks?This episode covers the intersection of artificial intelligence and cybersecurity, exploring how AI can be used for both protection and malicious purposes. We examine how AI is used to create advanced ai cybercrime and deep fakes, and the rising threat of social engineering attacks. Learn how ai cybersecurity can help defend against ai hackers and other emerging threats. Feeling Kind? Consider Supporting Our Channel by subscribing! Over 84% of viewers do not subscribe to our channel! 

John Berryman (Arcturus Labs; early GitHub Copilot engineer; co-author of Relevant Search and Prompt Engineering for LLMs) has spent years figuring out what makes AI applications actually work in production. In this episode, he shares the “seven deadly sins” of LLM development — and the practical fixes that keep projects from stalling. From context management to retrieval debugging, John explains the patterns he's seen succeed, the mistakes to avoid, and why it helps to think of an LLM as an “AI intern” rather than an all-knowing oracle. We talk through: - Why chasing perfect accuracy is a dead end - How to use agents without losing control - Context engineering: fitting the right information in the window - Starting simple instead of over-orchestrating - Separating retrieval from generation in RAG - Splitting complex extractions into smaller checks - Knowing when frameworks help — and when they slow you down A practical guide to avoiding the common traps of LLM development and building systems that actually hold up in production. LINKS: Context Engineering for AI Agents, a free, upcoming lightning lesson from John and Hugo (https://maven.com/p/4485aa/context-engineering-for-ai-agents) The Hidden Simplicity of GenAI Systems, a previous lightning lesson from John and Hugo (https://maven.com/p/a8195d/the-hidden-simplicity-of-gen-ai-systems) Roaming RAG – RAG without the Vector Database, by John (https://arcturus-labs.com/blog/2024/11/21/roaming-rag--rag-without-the-vector-database/) Cut the Chit-Chat with Artifacts, by John (https://arcturus-labs.com/blog/2024/11/11/cut-the-chit-chat-with-artifacts/) Prompt Engineering for LLMs by John and Albert Ziegler (https://amzn.to/4gChsFf) Relevant Search by John and Doug Turnbull (https://amzn.to/3TXmDHk) Arcturus Labs (https://arcturus-labs.com/) Watch the podcast on YouTube (https://youtu.be/mKTQGKIUq8M) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk)

AI Quick Take: Mastering Prompt Engineering On this episode host Adam Turinas explores the critical concept of prompt engineering. This skill is fundamental in transforming how you use AI tools like ChatGPT, Claude, and Perplexity in your professional work. Most people are using these robust AI systems like glorified search engines, but to unlock their full potential for marketing, sales enablement, and content creation, mastering prompt engineering is essential. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

- Simulation Theory, AI, and Robots for Survival (0:11) - Global Political Tensions and Predictions (1:33) - Economic and Social Implications of Global Conflict (6:49) - The Era of Easy Money and Affordable Goods Ending (7:55) - Preparing for a Collapsing Economy (20:50) - Using AI and Robots for Survival and Decentralization (30:50) - The Role of Drones and Ground-Based Robots (43:32) - The Future of AI and Robotics in Society (56:02) - The Importance of Financial Preparedness (1:01:21) - The Role of AI in Defining Wealth and Success (1:13:48) - Mike Adams' Background and Skills (1:23:20) - The Importance of Clear Instructions for AI (1:25:50) - AI Agents and Their Applications (1:28:42) - Prompt Engineering and AI Skills (1:33:02) - Philosophical and Ethical Considerations of AI (1:34:33) - AI and Human Depopulation Vectors (1:43:05) - The Role of AI in Government and Society (1:47:35) - The Future of Human-AI Relationships (2:00:04) - The Ethical Implications of AI Development (2:02:59) - The Potential for AI to Replace Human Labor (2:04:41) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Unlock the future of recruiting with this episode of The Full Desk Experience. In this special FDE+, host Kortney Harmon sits down with Matt Strain — seasoned technology leader, AI educator, and founder of The Prompt. Drawing on his experience as Adobe's former Head of Innovation, Matt brings a fresh perspective on how artificial intelligence is reshaping the recruiting and staffing industry.In their conversation, Matt explores why curiosity, resilience, and a willingness to experiment are essential traits for executives and recruiters who want to stand out in the age of AI. He shares real-world examples of how AI can streamline everything from sourcing and screening to assessment and selection, while also emphasizing where human judgment and trust remain irreplaceable. Along the way, he introduces a practical framework of mindset, skill set, and tool set that leaders can use to navigate uncertainty, integrate AI confidently, and drive stronger outcomes.Whether you're dipping your toes into AI for the first time or looking to refine your strategy, this discussion offers hands-on insights you can put into practice right away. Tune in to discover how to transform AI-driven curiosity into a true competitive advantage._________________Follow Matt Strain on LinkedIn at: LinkedIn | MattFollow Crelate on LinkedIn: https://www.linkedin.com/company/crelate/Want to learn more about Crelate? Book a demo hereSubscribe to our newsletter: https://www.crelate.com/blog/full-desk-experience

ভাবুন তো আপনি যদি একটি কম্পিউটারকে এমনভাবে কথা বলতে শেখাতে পারেন যেন সে আপনার জন্য ব্লগ লিখে দেয়, ছবি আঁকে, কোড বানায়, এমনকি ব্যবসায়িক পরামর্শও দেয় তাও আবার একেবারে আপনার ইচ্ছেমতো! তাহলে ব্যাপার টা কেমন হবে? আপনার কাছে বিষয়টা অসম্ভব মনে হচ্ছে না? এই অসম্ভবকে সম্ভব করেছে AI বা কৃত্রিম বুদ্ধিমত্তা। আর এই AI-কে সঠিকভাবে কাজ করাতে যে দক্ষতা প্রয়োজন সেটাই হলো Prompt ইঞ্জিনিয়ারিং। এই বিষয় নিয়ে এই Podcast এ আলোচনা করা হয়েছে। Artificial Intelligence-এর অসীম ক্ষমতাকে কাজে লাগিয়ে ফ্রিল্যান্সিং করে খুব সহজে প্রতি মাসে ২০০০-৩০০০ ডলার ইনকাম করতে চাইলে, অথবা AI-এর সাহায্যে কন্টেন্ট ক্রিয়েট, ডিজাইন সেল এবং আরো বিভিন্ন উপায়ে Passive Income করতে চাইলে জয়েন করুন এই কোর্সে ➤ https://www.msbacademy.com/course/artificial-intelligence-masterclass

Prompt engineering can feel like a secret language. April Dunnam returns to explain how Prompt Coach helps everyone speak it more clearly. From refining prompts to checking compliance and teaching best practices, Prompt Coach provides users with a smoother start to using Copilot and agents. We also cover when to roll it out, how it supports adoption, and why prompt libraries matter.   Prompt Coach is open source. Explore it and the community prompt libraries here: https://github.com/pnp/powerplatform-prompts https://github.com/pnp/copilot-prompts

In this AI Quick Take episode, I explore the critical concept of prompt engineering. This skill is fundamental in transforming how you use AI tools like ChatGPT, Claude, and Perplexity in your professional work. Most people are using these robust AI systems like glorified search engines, but to unlock their full potential for marketing, sales enablement, and content creation, mastering prompt engineering is essential.AI systems are competent, but they need context, constraints, and clear objectives to deliver truly valuable results. In the episode, I will review the Five Layer Framework for crafting effective prompts: Define the role and contextSet specific objectivesClarify audience and use caseEstablish format and constraintsDefine success criteriaI also walk through practical examples in market research, campaign planning, and sales enablement, showing how this structured approach can save 20-30 hours of manual work while delivering superior results.Key Topics Covered:"(00:00:00) - Episode Introduction""(00:03:00) - What is Prompt Engineering?""(00:06:00) - Basic vs. Engineered Prompt Example""(00:07:00) - The Five Layer Framework""(00:11:00) - Using AI to Help Create Better Prompts""(00:12:00) - Market Research and Analysis Applications""(00:14:00) - Campaign Strategy and Planning""(00:15:00) - Sales Enablement Applications""(00:16:00) - Advanced Prompt Engineering Techniques""(00:20:00) - Common Mistakes to Avoid""(00:21:00) - Closing and Resources"For a detailed walkthrough of AI prompt engineering, ⁠check out our "How To" guide.⁠If you are interested in discussing this or any other topic, let's have a chat.  ⁠Reach out to me directly⁠ to schedule a no-obligation discussion. This isn't a sales call, but rather an opportunity to talk through your LinkedIn questions and challenges.⁠Follow me on LinkedIn⁠.Subscribe to The HealthTech Marketing Show on ⁠Spotify⁠ or watch us on ⁠YouTube⁠ for more insights into marketing, AI, ABM, buyer journeys, and beyond!Thank you to our presenting sponsors, ⁠HIMSS⁠, a leader in advancing health equity, digital innovation, and data-driven care through technology, policy, and community collaboration. And also ⁠HealthcareNOW⁠, 24/7 expert shows, interviews, and podcasts, powering healthcare leaders with innovation, policy, and strategy insights.

For every English learner, AI can feel like both a miracle and a threat. Can it really do the work for you? The answer is more complex and exciting than you think. Our latest article is a practical guide that shows how AI is the ultimate language tutor for the core skills of reading, writing, speaking, and listening. But more importantly, it unpacks the new, crucial skill for the modern world: Prompt Engineering. Learn the techniques of being specific, providing context, and setting constraints with side-by-side examples of bad vs. good prompts. It's time to stop seeing AI as a crutch and start using it as a creative partner. https://englishpluspodcast.com/from-grammar-to-prompts-why-ai-makes-your-english-skills-more-valuable-than-ever/ To unlock full access to all our episodes, consider becoming a premium subscriber on Apple Podcasts or Patreon. And don't forget to visit englishpluspodcast.com for even more content, including articles, in-depth studies, and our brand-new audio series and courses now available in our Patreon Shop! #LearnEnglish #AIinEducation #PromptEngineering #LanguageLearning #FutureSkills

In this episode of The ROCC Pod, we dive deep into the world of emotionally intelligent AI with Christine Chubenko of CodeBaby. Jon hosts solo while Lisais away, and together with Christine, we explore how AI is reshaping business efficiency, customer interaction, and our daily digital experience.We begin by learning about CodeBaby, a platform that powers emotionally intelligent avatars capable of handling repetitive customer service tasks on behalf of businesses. These avatars go far beyond the likes of "Clippy" — they can smile, laugh, and emulate human responses, allowing businesses to provide 24/7 assistance that reflects their brand tone and values. Christine emphasizes that users maintain full control over their data and avatar behavior, which can evolve over time as the business grows or shifts.Christine shares examples from retail and healthcare. In stores, avatars answer common customer questions, freeing up human staff to focus on higher-priority tasks. In medical practices, avatars or even holograms can offer patients a safe space to ask questions — particularly beneficial for older patients who may hesitate to speak directly to doctors. ("But they're so busy!")As we discuss the broader AI landscape, Christine explains her career roots in computer science and AI, dating back to the 1990s. While the foundation of AI has remained rooted in pattern recognition and statistical models like k-nearest neighbor, the scale and sophistication of modern AI have exploded. She debunks the myth that AI is sentient — emphasizing that despite the human-like responses, these systems are still just machines built by humans with clear limitations and no true consciousness.We explore how AI is already part of our everyday lives through Siri, Alexa, social media algorithms, smart appliances, and personalized streaming suggestions. Christine argues that AI's role is to reduce tedious tasks — not replace humans entirely. Jobs that require emotional nuance, tactile presence, or creativity (like nurses or preschool teachers) remain well out of AI's reach. Meanwhile, automation can fill gaps where businesses struggle to hire, like in food service or basic admin roles.Christine also breaks down what makes AI emotionally intelligent: prompt engineering. It's not just about asking a question; it's about asking it the right way, setting the tone, and defining the persona you want the AI to emulate. For instance, telling ChatGPT to answer as a cardiovascular surgeon or in a humorous tone drastically alters the output.To close, Christine encourages listeners who are curious about AI to simply sign up for a tool like ChatGPT and ask, “Where do I start?” That simple first step leads to powerful learning. She reminds us that while AI may seem intimidating, it's just another tool — and it's one we can all learn to wield effectively.More:Email Christine: cchubenko@codebaby.comCodeBaby Website: https://www.codebaby.com/ Learn more about the Royal Oak Chamber of Commerce: https://www.royaloakchamber.com/Connect with our hosts:Jon Gay from JAG in Detroit Podcasts - http://www.jagindetroit.com/Lisa Bibbee from Century 21 Northland - http://soldbylisab.com/

- Endorsement of Pete Chambers for Texas Governor (0:10) - Chambers' Commitment to Decentralized Medicine and Humanitarian Efforts (1:41) - Importance of Prompt Engineering in AI (4:26) - AI's Role in Software Development and Prompt Engineering Techniques (5:53) - Prediction of a Major Robotics Hoax (19:27) - Comparison of Mainstream Deodorants and Health Ranger Store Deodorant (28:54) - Health Benefits of Purple Okra and Anthocyanins (40:02) - RFK Jr's Investigation into Psychiatric Medications and School Shootings (42:53) - Texas' Role in the Future of the United States (51:09) - Nutritional Tips for Enjoying Barbecue (55:42) - Energy Consumption and Water Usage by Data Centers (1:08:35) - Impact of Data Centers on Texas' Power Grid (1:19:53) - Economic and Environmental Concerns (1:20:58) - Water and Land Use Conflicts (1:23:37) - Governor's Role and Citizen-Led Governance (1:26:36) - Border Security and Governor Abbott's Performance (1:27:34) - Health and Human Services Expenditures (1:34:46) - Education and Food Security Initiatives (1:49:40) - Challenges of Political Corruption and Centralization (1:51:09) - Vision for Texas' Future (2:08:42) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Artificial Intelligence is no longer just a buzzword — it's already finding its way into Quality Assurance (QA) and Regulatory Affairs (RA) in the medical device industry. But what does this mean for compliance professionals? Is AI a powerful tool to accelerate regulatory processes, or a risky shortcut that could jeopardize compliance? In this new episode of the Medical Device Made Easy Podcast, Monir El Azzouzi sits down with RJ Kedziora (Estenda) to explore the opportunities and risks of using AI in regulatory compliance. Together, they discuss: Why more QA/RA teams are experimenting with AI tools like ChatGPT, Gemini, Claude, and Grok How to integrate AI into different product design and regulatory phases The role of Prompt Engineering and why it matters in compliance Practical tips for creating effective AI prompts The warnings and risks you should keep in mind when relying on AI How agencies like the FDA are beginning to explore AI for dossier reviews

Today, we're joined by a familiar voice and a musically inclined CPG thought leader: Chris Perry of firstmovr. He's spent the last several months educating brands on how to prepare for a new age of product discovery and conversion paths with the dawn of AI-enabled search.  We're thrilled to have him back to share key insights and practical takeaways from his recent trainings. Tune in to find out more! KEY TAKEAWAYS In this episode, Julie, Jordan, and Chris discuss: The Changing Digital Shelf: How the digital shelf continues to evolve rapidly and the growing importance of frictionless and personalized shopping experiences driven by AI. Personal Experiences with AI Search: How tools like Rufus and ChatGPT are influencing their own shopping behaviors. Choice Paralysis and AI Solutions: Choice overload for consumers and how agentic AI tools can curate and simplify decision-making, much like a “Costco experience” for endless online assortments. Training and Transition for Brands: Chris details the challenge of bringing legacy organizations up to speed, highlighting the need to expand skillsets from basic e-commerce “math” to effectively leveraging AI “calculator” tools. Brand Case Studies and Shopper Journeys: Through real shopping scenarios (e.g., searching for whitening toothpaste for sensitive teeth), Chris explains how AI-driven search results can differ from traditional ones, urging brands to rethink content strategy and optimization. Prompting and Shopper-Centric Content: Tips for brands to analyze and adapt to AI tools' pre-filled questions and dynamic prompts, which often reveal emerging shopper concerns and influence purchase considerations. Practical Optimization Insights: Actionable steps brands can take, such as focusing on clear, shopper-centric product content and continually testing how products show up in AI-influenced search environments. Looking Ahead: The future convergence of search and AI, predicting that the lines between “search bar” and “AI assistant” will soon blur, fundamentally changing shopper expectations. Tips for Brands: Brands are encouraged to treat the digital shelf as an ongoing process, not a project, and to use practical experimentation, shopper empathy, and iterative optimization to stay ahead.   MENTIONED IN THIS EPISODE Connect with Chris Perry Learn more about firstmovr Connect with our host, Julie Spear Connect with our host, Jordan Ripley Learn more about Acadia

Struggling with technical debt and code quality? Learn how a technical coach can help your team level up.In this episode, Emily Bache, a Samman technical coach, shares her proven method for building better engineering teams through structured learning and collaborative coding. We explore ensemble programming, learning hours, and why AI makes fundamental engineering practices more important than ever.Key topics discussed:The role of a Technical Coach and the Samman Method explainedHow AI amplifies good engineering practices instead of replacing themHow to use ensemble programming to achieve single-piece flowRunning effective ensemble sessions and avoiding common failure modesWhy learning is part of the work, not only a side activityWhy pull requests should not be the primary tool for mentoring junior developersThe dangerous trend of “vibe coding” with AI toolsTimestamps:(00:00) Trailer & Intro(02:22) Career Turning Points(03:23) Being Part of Modern Engineering YouTube Channel(04:27) The Role of a Technical Coach(05:42) The Impact of AI on Technical Coaching(08:20) Sofware Engineering is a Learning Process(09:55) Optimizing Learning With Samman Method(11:40) The Samman Method: Ensemble (Mob Programming)(14:59) The Main Benefit of Ensemble: Single Piece Flow(17:26) How to Do Ensemble and Avoid Common Failure Modes(20:27) The Types of Coding to Ensemble On(22:12) The Importance of Trust, Communication, and Kindness(23:52) Common Things Development Teams Are Struggling With(25:37) Prompt Engineering(27:16) The Samman Method: Learning Hours(29:08) Learning is Part of the Work(31:32) The Practice of Learning as a Team(34:39) The Constraint When Learning from Pull Requests(36:30) Putting Aside Time for Learning Hours(39:14) Becoming a Technical Coach(41:23) How to Measure the Effectiveness of Technical Coaching(43:52) Danger of AI Assisted Coding(46:59) The (Still) Important Skills in the AI Era(49:56) Why We Should Not Refactor Through AI(52:41) The Samman Method & Technical Coaching Resources(53:29) 3 Tech Lead Wisdom(54:56) Finding Mentors for Career Progression_____Emily Bache's BioEmily Bache is an independent consultant, YouTuber and Technical Coach. She works with developers, training and coaching effective agile practices like Refactoring and Test-Driven Development.Emily has worked with software development for 25 years, written two books and teaches courses on platforms including Pluralsight and O'Reilly. A frequent conference speaker, Emily has been invited to keynote at prestigious developer events including EuroPython, Craft and ACCU. Emily founded the Samman Technical Coaching Society in order to promote technical excellence and support coaches everywhere.Follow Emily:LinkedIn – linkedin.com/in/emilybacheX – x.com/emilybacheMastodon – sw-development-is.social/web/@emilybacheGitHub – github.com/emilybacheWebsite – emilybache.comSamman Coaching – sammancoaching.orgYouTube – youtube.com/@EmilyBache-tech-coachModern Software Engineering – youtube.com/@ModernSoftwareEngineeringYTLike this episode?Show notes & transcript: techleadjournal.dev/episodes/230.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

- Announcement of Enoch AI Engine Upgrade (0:03) - Accessing Enoch AI Engine (2:29) - Prompt Engineering and Use Cases (4:59) - Challenges and Successes in Training Enoch (9:25) - Applications and Benefits of Enoch AI Engine (12:21) - Demonstration and Comparison with Other AI Engines (18:10) - Support and Future Plans (1:06:27) - Enoch's Impact on Independent Media (1:17:07) - Conclusion and Call to Action (1:17:27) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

How Pennant Moldings Uses AI and Traditional B2B MarketingB2B Marketing Excellence & AI Podcast with Donna PetersonIndustrial marketing isn't like selling shoes or software. It takes time, trust, and a strong understanding of how real relationships drive long-term results.In this episode, I sit down with Brian Contini, VP of Sales and Marketing at Pennant Moldings, to hear what's actually working for their team right now. We talk about how they're combining traditional methods—like trade shows and in-person visits—with smart use of AI to support research, improve outreach, and build stronger customer connections.Whether you're in metals, plastics, or any industrial space, this episode is full of practical takeaways you can use right away.Top 5 Topics We Cover:Why traditional marketing still works—and when to use itHow Pennant is using AI to streamline sales researchWhat's working in email marketing todayThe importance of knowing your audience in technical industriesHow to maintain trust while integrating new tools like AIWhat You Can Do Today:Revisit your email outreach—are you focusing on the recipient's challenge first?Identify one traditional tactic (like trade shows or phone calls) that deserves renewed attention.Choose one AI tool that could save you time with research or outreach—start testing it in a small way.Talk to your sales team: Where do they feel AI supports their efforts—and where does it get in the way?Let's keep the conversation going:How are you helping your industrial brand stand out and build stronger relationships?Leave a comment, send me a message, or reach out at dpeterson@worldinnovators.com. I'd love to hear what's working for you.If this episode helped you in any way, consider leaving a quick review. It helps us continue sharing real strategies that support industrial brands doing meaningful work.

- Discovery of Secret Room in FBI Building (0:11) - Criticism of FBI and Intelligence Agencies (1:24) - Challenges with Burn Bags and Document Destruction (2:48) - Lack of Arrests and Legal Challenges (5:26) - Summary of Document Findings (9:25) - Trump Administration's Legal Strategy (11:54) - Hopes for Mass Arrests (15:08) - Challenges with Power Grid and AI Data Centers (25:17) - Impact of Tariffs on Transformer Supply (46:48) - Future of Energy and Decentralized Solutions (1:09:21) - Introduction of Enoch AI Engine (1:15:24) - Challenges with AI Data and Personal Experiences (1:25:51) - Development and Performance of the AI Engine (1:28:19) - Decentralization and Open-Source AI (1:30:34) - Training Data and AI Capabilities (1:33:59) - Prompt Engineering and AI Applications (1:40:28) - Challenges and Future of AI Development (1:55:27) - Censorship and Regulatory Concerns (1:57:29) - Global AI Competition and Technological Advancements (2:06:23) - Economic and Political Implications of AI (2:18:04) - Geopolitical Shifts and Centralized Power (2:25:24) - Demoralization and Betrayal of American Dream (2:39:28) - Apocalypse Accelerationism and Christian Zionism (2:42:43) - Critique of Religious Institutions and Their Teachings (2:46:44) - Historical Context and Modern Implications (2:49:42) - Cults and Their Influence on Global Events (2:52:32) - The Role of Media and Education in Shaping Perceptions (2:55:27) - The Impact of Religious Supremacy on Global Conflict (3:12:55) - The Role of Individual Actions in Promoting Peace (3:19:24) - The Future of Global Peace and Understanding (3:21:06) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Want better outputs from AI? Get our free Prompt Engineering guide: https://clickhubspot.com/cnj Episode 69: Why do so many AI-generated websites end up looking generic—and how can you use “vibe coding” to stand out with truly designer-level style? Nathan Lands (https://x.com/NathanLands) sits down with design legend Meng To (https://x.com/MengTo), founder of Design+Code and creator of innovative tools like Aura, to deliver a practical masterclass on prompting AI for web design that's not just beautiful, but memorable and conversion-friendly. In this episode, Meng shares his approach to breaking free from generic, templated looks by leveraging a precise design vocabulary, including layouts, color theory, typography, animations, and unique assets. Learn how to use free resources and smart prompting techniques to turn basic AI outputs into custom-crafted sites that reflect your taste and business needs. If you care about making your site stand out in the age of AI tools like Lovable, V0, and Aura, don't miss this hands-on walkthrough! Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Improving AI Design with Aura (05:32) Single-File HTML/CSS Design Simplicity (07:27) Defining "Beautiful Site" Concepts (10:19) Modern Skeuomorphism and Typography Trends (15:22) Master AI Prompt Engineering (16:16) Website Design: The Hero Component (20:13) AI-Generated Dynamic Color Schemes (22:51) Personalized AI: Create Your Solution — Mentions: Meng To: https://www.linkedin.com/in/mengto/ Design+Code: https://designcode.io/ Aura: https://aura.design/ Spline: https://spline.design/ Unicorn Studio: https://unicorn.studio/ Lovable: https://lovable.so/ V0: https://v0.dev/ Cursor: https://www.cursor.so/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

In this episode of Hands-On IT, host Landon Miles is joined by Automox Security Engineer Henry Smith for a deep dive into prompt engineering and how it's transforming the way IT and security teams work with AI.From crafting high-quality prompts to auditing and hardening code using large language models like Claude and ChatGPT, Landon and Henry share real-world insights, practical strategies, and lessons learned from implementing AI in secure development workflows.They also explore:Why context is king when prompting AISecurity implications of AI-generated codeTips for optimizing token usage and context windowsHow Automox engineers are experimenting safely with AIWhether you're a developer, security professional, or IT leader, this episode offers actionable advice and forward-thinking perspectives on integrating AI into your workflow.

$2 Million Amazon Seller REVEALS How to Use AI to Automate Your Entire BusinessBook A FREE Strategy Call with Carter from VA Fastlane : https://bit.ly/4jeDLC4 In episode 115 of The Side Hustle Experiment Podcast  John (https://www.instagram.com/sidehustleexperiment/) and Drew  (https://www.instagram.com/realdrewd/) talk with Nick Spisak (https://www.instagram.com/nickspisak_/) He's a former software engineer turned 7-figure Amazon FBA seller — who shares exactly how he's using AI tools like ChatGPT, Claude, and Gemini to automate nearly every part of his Amazon business.Whether you're new to Amazon FBA, tired of managing VAs, or just curious about how to leverage AI to scale, this is a masterclass in the future of e-commerce automation.✅ What You'll Learn in This Episode: ✔️ How Nick built a $2.1M Amazon business while working full-time ✔️ The exact AI tools and workflows he uses daily ✔️ How to replace VAs with AI agents (and when you shouldn't) ✔️ Why prompt engineering is the #1 skill Amazon sellers need ✔️ How to build a lean, hyper-efficient FBA operation with AINick breaks down his systems, shares real-world examples, and gives you the blueprint to automate your Amazon business — no coding experience required.

Is AI the Fourth Pillar of Infrastructure?Infrastructure doesn't go away — it layers. And today, AI is emerging as a new foundational layer alongside compute, storage, and networking.Erik Torenberg interviews a16z's Martin Casado, Jennifer Li, and Matt Bornstein breaking down how infrastructure is evolving in the age of AI — from models and agents to developer tools and shifting user behavior.We dive into what infra actually means today, how it differs from enterprise, and why software itself is being disrupted. Plus, we explore the rise of technical users as buyers, what makes infra companies defensible, and how past waves — from the cloud to COVID to AI — are reshaping how we build and invest. Timestamps: (00:00) Introduction (01:49) Defining Infrastructure in the AI Era(03:15) The Fourth Pillar: AI's Role in Infrastructure(06:01) Historical Context and Evolution of Infrastructure(08:20) The Impact of AI on Software Development(10:18) Investment Strategies and Market Dynamics(17:02) Developer Tools and AI Integration(20:57) Defensibility in the AI Landscape(22:16) Founders' Intuition and Industry Progress(22:26) Defensibility in AI Infrastructure(24:00) Expansion and Contraction Phases in the Industry(24:35) The Role of Layers in Market Consolidation(27:43) The Future of AI Models and Specialization(29:27) The Decade of AI Agents(29:54) Context Engineering and New Infrastructure(34:23) The Evolution of Software Development(42:13) Horizontal vs. Vertical Integration in AI(43:54) Conclusion and Final Thoughts Resources: Find Martin on X: https://x.com/martin_casadoFind Jennifer on X: https://x.com/JenniferHliFind Matt on X: https://x.com/BornsteinMatt Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Jacob Visovatti and Conner Goodrum of Deepgram speak with host Kanchan Shringi about testing ML models for enterprise use and why it's critical for product reliability and quality. They discuss the challenges of testing machine learning models in enterprise environments, especially in foundational AI contexts. The conversation particularly highlights the differences in testing needs between companies that build ML models from scratch and those that rely on existing infrastructure. Jacob and Conner describe how testing is more complex in ML systems due to unstructured inputs, varied data distribution, and real-time use cases, in contrast to traditional software testing frameworks such as the testing pyramid. To address the difficulty of ensuring LLM quality, they advocate for iterative feedback loops, robust observability, and production-like testing environments. Both guests underscore that testing and quality assurance are interdisciplinary efforts that involve data scientists, ML engineers, software engineers, and product managers. Finally, this episode touches on the importance of synthetic data generation, fuzz testing, automated retraining pipelines, and responsible model deployment—especially when handling sensitive or regulated enterprise data. Brought to you by IEEE Computer Society and IEEE Software magazine.

Kieran Flanagan is the CMO at HubSpot, where he's led the transformation of their growth strategy from SEO-led to multi-channel and AI-powered. Formerly SVP of Marketing, he helped scale HubSpot's user base to millions and revenue past $2B. Before HubSpot, he drove breakout growth at Marketo and Salesforce. Kieran is one of the most respected voices in SaaS marketing and a pioneer in growth-driven content strategy. Agenda: 00:03 – The Death of Growth Teams? Kieran's Wild Prediction 06:44 – AI Innovation Pods: The New Org Structure for Startups 10:18 – Email Personalization That Tripled Conversions 13:21 – From Software Budget to Labor Budget: The Shift is Happening 16:35 – The Big Lie: Why Autonomous Agents Still Suck 19:24 – The Secret Sauce Behind HubSpot's Email AI Stack 21:44 – Segment-Based Marketing Is Dead. Enter Micro Audiences. 24:15 – Content Collapse: Why Google Organic Is Getting Torched 30:52 – The Future of AI SEO: 1 Product, 100 Pages, Infinite Prompts 33:16 – Memory = Moat: Why ChatGPT Is Becoming Unbeatable 35:46 – Prompt Engineering is the New Coding: Here's How to Win 41:03 – The Death of the Middle Manager Marketer 46:17 – OpenAI vs. Anthropic: Kieran's $400M Bet 48:00 – Europe Is Falling Behind: The Harsh Truth on Regulation 52:39 – CMO Playbook 2025: Micro-Audiences, Creator-Led, AI at Scale    

Sander Schulhoff is the OG prompt engineer. He created the very first prompt engineering guide on the internet (two months before ChatGPT's release) and recently wrote the most comprehensive study of prompt engineering ever conducted (co-authored with OpenAI, Microsoft, Google, Princeton, and Stanford), analyzing over 1,500 academic papers and covering more than 200 prompting techniques. He also partners with OpenAI to run what was the first and is the largest AI red teaming competition, HackAPrompt, which helps discover the most state-of-the-art prompt injection techniques (i.e. ways to get LLMS to do things it shouldn't). Sander teaches AI red teaming on Maven, advises AI companies on security, and has educated millions of people on the most state-of-the-art prompt engineering techniques.In this episode, you'll learn:1. The 5 most effective prompt engineering techniques2. Why “role prompting” and threatening the AI no longer works—and what to do instead3. The two types of prompt engineering: conversational and product/system prompts4. A primer on prompt injection and AI red teaming—including real jailbreak tactics that are still fooling top models5. Why AI agents and robots will be the next major security threat6. How to get started in AI red teaming and prompt engineering7. Practical defense to put in place for your AI products—Brought to you by:Eppo—Run reliable, impactful experimentsStripe—Helping companies of all sizes grow revenueVanta—Automate compliance. Simplify security—Where to find Sander Schulhoff:• X: https://x.com/sanderschulhoff• LinkedIn: https://www.linkedin.com/in/sander-schulhoff/• Website: https://sanderschulhoff.com/• AI Red Teaming and AI Security Masterclass on Maven: https://bit.ly/44lLSbC• Free Lightning Lesson “How to Secure Your AI System” on 6/24: https://bit.ly/4ld9vZL—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Sander Schulhoff(04:29) The importance of prompt engineering(06:30) Real-world applications and examples(10:54) Basic prompt engineering techniques(23:46) Advanced prompt engineering techniques(29:00) The role of context and additional information(39:24) Ensembling techniques and thought generation(49:48) Conversational techniques for better results(50:46) Introduction to prompt injection(52:27) AI red teaming and competitions(54:23) The growing importance of AI security(01:02:45) Techniques to bypass AI safeguards(01:05:21) Challenges in AI security and future outlook(01:18:33) Misalignment and AI's potential risks(01:25:03) Final thoughts and lightning round—Referenced:• Reid Hoffman's tweet about using AI agents: https://x.com/reidhoffman/status/1930416063616884822• AI Engineer World's Fair: https://www.ai.engineer/• What Is Artificial Social Intelligence?: https://learnprompting.org/blog/asi• Devin: https://devin.ai/• Cursor: https://www.cursor.com/• Inside Devin: The world's first autonomous AI engineer that's set to write 50% of its company's code by end of year | Scott Wu (CEO and co-founder of Cognition): https://www.lennysnewsletter.com/p/inside-devin-scott-wu• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Granola: https://www.granola.ai/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder & CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Technique #3: Examples in Prompts: From Zero-Shot to Few-Shot: https://learnprompting.org/docs/basics/few_shot?srsltid=AfmBOor2owyGXtzJZ8n0fJVCctM7UPZgZmH-mBuxRW4t9-kkaMd3LJVv• The Prompt Report: Insights from the Most Comprehensive Study of Prompting Ever Done: https://learnprompting.org/blog/the_prompt_report?srsltid=AfmBOoo7CRNNCtavzhyLbCMxc0LDmkSUakJ4P8XBaITbE6GXL1i2SvA0• State-of-the-Art Prompting for AI Agents | Y Combinator: https://www.youtube.com/watch?v=DL82mGde6wo• Use XML tags to structure your prompts: https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags• Role Prompting: https://learnprompting.org/docs/basics/roles?srsltid=AfmBOor2jcxJQvWBZyFa030Qt0fIIov3hSiWvI9VFyjO-Qp478EPJIU7• Is Role Prompting Effective?: https://learnprompting.org/blog/role_prompting?srsltid=AfmBOooiiyLD-0CsCYZ4m3SDhYOmtTyaTzeDo0FvK_i1x1gLM8MJS-Sn• Introduction to Decomposition Prompting Techniques: https://learnprompting.org/docs/advanced/decomposition/introduction?srsltid=AfmBOoojJmTQgBlmSlGYQ8kl-JPpVUlLKkL4YcFGS5u54JyeumUwlcBI• LLM Self-Evaluation: https://learnprompting.org/docs/reliability/lm_self_eval• Philip Resnik on X: https://x.com/psresnik• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Introduction to Ensembling Prompting: https://learnprompting.org/docs/advanced/ensembling/introduction?srsltid=AfmBOooGSyqsrjnEbXSYoKpG0ZlpT278NHQA6Fd8gMvNTJlWu7-qEYzh• Random forest: https://en.wikipedia.org/wiki/Random_forest• Chain-of-Thought Prompting: https://learnprompting.org/docs/intermediate/chain_of_thought?srsltid=AfmBOoqwE7SXlluy2sx_QY_VOKduyBplWtIWKEJaD6FkJW3TqeKPSJfx• Prompt Injecting: https://learnprompting.org/docs/prompt_hacking/injection?srsltid=AfmBOoqGgqbfXStrD6vlw5jy8HhEaESgGo2e57jyWL8lkZKktt_P6Zvn• Announcing HackAPrompt 2.0: The World's Largest AI Red-Teaming Hackathon: https://learnprompting.org/blog/announce-hackaprompt-2?srsltid=AfmBOopXKsHxy4aUtsvPCUtEu7x74NCAEnlTIdNzo7nfMDVwZ9ilTlkp• Infant with rare, incurable disease is first to successfully receive personalized gene therapy treatment: https://www.nih.gov/news-events/news-releases/infant-rare-incurable-disease-first-successfully-receive-personalized-gene-therapy-treatment• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Copilot: https://copilot.microsoft.com/chats/rcxhzvKgZvz8ajUrKdBtX• GitHub Copilot: https://github.com/features/copilot• Defensive Measures: https://learnprompting.org/docs/prompt_hacking/defensive_measures/introduction• Sam Altman on X: https://x.com/sama• Three Laws of Robotics: https://en.wikipedia.org/wiki/Three_Laws_of_Robotics• Anthropic's new AI model turns to blackmail when engineers try to take it offline: https://techcrunch.com/2025/05/22/anthropics-new-ai-model-turns-to-blackmail-when-engineers-try-to-take-it-offline/• Palisade Research: https://palisaderesearch.org/• When AI Thinks It Will Lose, It Sometimes Cheats, Study Finds: https://time.com/7259395/ai-chess-cheating-palisade-research/• A.I. Chatbots Defeated Doctors at Diagnosing Illness: https://www.nytimes.com/2024/11/17/health/chatgpt-ai-doctors-diagnosis.html• 1883 on Paramount+: https://www.paramountplus.com/shows/1883/• Black Mirror on Netflix: https://www.netflix.com/title/70264888• Daylight Computer: https://daylightcomputer.com/• Theodore Roosevelt's quote: https://www.goodreads.com/quotes/622252-i-wish-to-preach-not-the-doctrine-of-ignoble-ease• HackAPrompt 2.0: https://www.hackaprompt.com/—Recommended books:• Ender's Game: https://www.amazon.com/Enders-Ender-Quintet-Orson-Scott/dp/0812550706• The River of Doubt: Theodore Roosevelt's Darkest Journey: https://www.amazon.com/River-Doubt-Theodore-Roosevelts-Darkest/dp/0767913736—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe