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4 episodes with prompt engineering
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3 episodes with prompt engineering
How do you stay in control of AI while still benefiting from everything it can do? As AI becomes more powerful, many leaders are focused on getting AI to do more work. But perhaps the better question is: How do you make AI more effective without letting it influence your thinking, your brand, or your business direction? In this episode of Grounding AI, Donna Peterson explores why leaders must remain the decision-makers while using AI as a tool to strengthen expertise, deepen customer relationships, and improve business outcomes. You'll learn why AI should enhance your knowledge rather than replace it, how to train AI around your company's goals and values, and the questions every leader should ask before using AI-generated recommendations. If you're responsible for marketing, sales, leadership, customer relationships, or business strategy, this episode offers practical guidance for maintaining control while leveraging AI effectively. In This Episode: Why AI naturally influences decisions and direction The difference between getting AI to do more and getting AI to be more effective How leaders can maintain ownership of their expertise Why your brand voice must remain stronger than AI suggestions The importance of building AI libraries and organizational knowledge Questions to ask before every AI prompt How to keep customer relationships at the center of AI adoption A simple test to determine if AI is helping or leading your business Key Takeaway Before every prompt, ask yourself: What am I trying to accomplish? Why does it matter to my audience? What action do I want people to take? Does this align with our company values and goals? The more direction you provide, the more valuable AI becomes. Connect With World Innovators // Website: www.worldinnovators.com Subscribe for weekly conversations on AI, leadership, trust-building, marketing strategy, and practical business growth. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.
Stewart Alsop sat down with Michael Shackelford to discuss their experiences building applications through vibe coding—the practice of using AI to create software without traditional programming expertise. Stewart, who runs the AI Whispers community in Buenos Aires and hosts the Crazy Wisdom podcast (with over 660 interviews), shared how he went from teaching people prompt engineering to building his own video conferencing software as a Riverside.fm replacement, while Michael opened up about his year-long journey creating Genrupt Inc, an AI-powered content generation tool for e-commerce sellers. The conversation covered everything from the decline in quality of Claude's reasoning capabilities and how Chinese companies used distillation attacks to copy Anthropic's models, to the importance of spaced repetition systems for managing knowledge in the age of LLMs, with both sharing battle-tested prompting strategies like asking AI to "explain it to me in genius terms" and using deep research queries to reverse engineer how competitors build their products.Show Notes:- Dan Martell's book "Buy Back Your Time" was mentioned as one of the best business books for thinking about life and business- Check out John Vervaeke's "Awakening from the Meaning Crisis" for understanding relevance realization and why AI fundamentally cannot determine what's relevant to humans without being toldTimestamps00:00 Michael discusses being exhausted from getting his app ready for launch, working nonstop with AI to prepare landing page for podcast traffic driving beta signups05:00 Stewart explains starting AI Whispers in Buenos Aires after leaving OpenAI vendor company, meeting early adopters like Torin who was building mind-reading EEG technology10:00 Discussion of how corporations resist AI adoption due to political games and job security fears while some companies use AI as excuse for pandemic-era layoffs15:00 Stewart describes teaching workshops on using LLMs as linguistic tools rather than coding tools, noting technical people often lack humanities background needed for prompting20:00 Explaining chatbot wrappers, API calls, and how Anthropic's reasoning quality declined after Chinese distillation attacks copied their secret sauce developed with philosophers25:00 Technical discussion of model training, fine-tuning versus RAG for new information, and different approaches to updating AI knowledge beyond initial training30:00 Stewart describes building podcast recording software to replace expensive Riverside, struggling with syncing audio and video files across different computer clocks35:00 Discussion of critical factors in vibe coding, discovering unknown technical requirements, and how AIs don't automatically reveal missing information40:00 Stewart's reverse engineering process using deep research function to study competitors' hiring and technology stacks, separating planning agents from coding agents45:00 Prompting techniques including "explain like I know everything" and using spaced repetition systems to capture valuable prompts and technical knowledge50:00 Michael explains his Generux app for generating ecommerce content using Amazon review data analysis to inform high-converting listing images and videos55:00 Discussion of founder mentality involving self-delusion about project timelines, Michael working nine-plus hours daily for nine months on app development60:00 Comparing Amazon's expert software to prosumer software approach, discussing distribution challenges and future robotics applications for customized products65:00 Stewart demonstrates spaced repetition app for memory improvement and knowledge retention, explaining relevance realization problem that AI agents cannot solve without embodimentKey Insights1. Stewart Alsop started AI Whisperers in Buenos Aires after leaving his role at Invisible Technologies, which was OpenAI's largest vendor for RLHF work. He noticed that machine learning engineers at tech companies lacked the humanities background needed to properly interact with large language models, which are fundamentally linguistic tools. This led him to create weekly workshops teaching non-technical people how to use AI effectively, running events every Thursday for two years straight. The group attracted intense geeks from the start and eventually led to Stewart speaking right after Vitalik Buterin at DevConnect, marking a significant milestone for the community.2. Large corporations are resistant to AI adoption due to multiple factors including political dynamics within organizations and employees fearing job loss. Many companies that grew during the pandemic are now using AI as an excuse to downsize when the real issue is inefficiency from rapid expansion. Stewart observed that even technical people in machine learning often don't understand how to properly use AI tools because they lack linguistic and humanities training. The fundamental problem is educational, requiring companies to train people how to use these new tools while those same people resist learning them.3. Vibe coding has evolved significantly with Claude Code being a game changer that reduced the technical barrier to entry. Before Claude Code, developers needed substantial technical knowledge to work through constant doom loops and debugging cycles. The success of coding AI tools stems from thirty years of testing infrastructure that provides clear yes or no feedback on whether code works. This infrastructure doesn't exist in the same way for manufacturing, science, and other fields, which is why software became the dominant area for AI assistance initially.4. Claude's quality degradation over recent months resulted from multiple factors including distillation attacks by Chinese companies who reverse engineered Anthropic's reasoning capabilities. Anthropic had hired philosophers, sociologists, and psychologists to develop exceptional reasoning in Claude 4.5, but this was expensive to run. When Chinese models like Kimi copied these capabilities at one tenth the cost, and when mainstream users flooded the platform before Anthropic's planned IPO, the company had to reduce quality to manage computational costs. This represents a significant loss for power users who relied on Claude's superior reasoning abilities.5. Stewart built a podcast recording application to replace Riverside because he needed API access to automate workflows, which Riverside wanted one thousand dollars monthly to provide. The technical challenge involves syncing audio and video from local recordings on multiple computers with different clocks through a server, then merging them so voices match lip movements. This problem requires understanding complex timing issues across different network conditions and file formats. Stewart has been working through AI psychosis for months on this FFMPEG pipeline problem, illustrating how vibe coding still requires building intuition about technical problems even without traditional coding knowledge.6. The transition from expert software to prosumer software represents a major opportunity for AI-enabled tools. Expert software like Photoshop, Blender, and terminal interfaces have extreme complexity that intimidates beginners, but AI is making these capabilities accessible through natural language. The reign of specialists is ending as generalists with broad knowledge and curiosity can now build complete applications by leveraging AI to fill technical gaps. This shift particularly benefits entrepreneurs and founders who specialize in getting into difficult situations and figuring them out, even when they originally thought tasks would be easier than they turned out to be.7. Building applications with AI requires accepting massive time investments beyond initial estimates and developing strategies for overcoming knowledge gaps. Michael estimated his ecommerce content generation app would take months but spent nearly a year working over nine hours daily, while Stewart spent months solving audio-video sync issues. Success requires using tools like deep research to understand how competitors solve problems, maintaining separate planning and coding agents, and learning to ask the right questions. The key insight is that vibe coders can achieve ninety percent of functionality independently, but the final ten percent often requires understanding specific technical concepts that AI cannot intuit without proper context and domain knowledge.
Conference season is back, and so are the real conversations. In this episode, Peter Maddison and Dave Sharrock catch up after a busy stretch of travel and dig into something Dave has been road-testing at conferences: why most people given access to AI tools freeze up, and what actually helps them move past that.Dave ran a workshop at the Global Scrum Gathering in Vancouver for non-technical roles - product managers, Scrum Masters, agile coaches - people who've been told "use AI" but have no clear picture of where to start. What he found is that the problem isn't motivation or technical ability. It's the lack of scaffolding. Give people the right structure and the right room to experiment, and things shift pretty quickly.The conversation then moves into multi-agent systems - how Dave's team built a group of agents that continuously refresh the workshop itself based on current thinking. Peter adds his own take on testing these systems with personas and automated quality evaluation. It gets a bit technical, but in the best way.This is a good episode if you're thinking about how to help your organization actually use AI, not just adopt it on paper.Key Takeaways:Context beats generic. Prompts work when they're specific to your role and your actual problems. A product manager needs product management context, not a one-size-fits-all example.Think in teams, not steps. Multi-agent systems work best when you treat them like a team reviewing an artifact, each agent checking for something different, rather than a linear build process.Don't assume everyone gets it. The gap between people who use AI daily and people who tried it once and gave up is wider than most of us realize. Getting both groups in the same room is where the real learning happens, for everyone.Have a question or something to add? Reach out at feedback@definitelymaybeagile.com or find us at definitelymaybeagile.com. And if you're finding the show useful, subscribing and leaving a review goes a long way.
The Masonic Roundtable - Freemasonry Today for Today's Freemasons
In this episode of The Masonic Roundtable, we explore the cutting edge of the digital age with Prompt Engineering Your Lodge Experience. We discuss how real-time generative AI can be utilized as a modern "working tool" to enhance various aspects of our fraternal life, from streamlining administrative tasks to deepening our educational research. Our panel examines the practical applications of AI in crafting engaging presentations, organizing complex schedules, and even generating thought-provoking prompts for lodge discussions. Join us as we consider the balance between traditional methods and new technology, and how the art of the "prompt" can help us build a more efficient, informed, and connected brotherhood in 2026.
Most organizations think they're doing AI. They've bought the licenses, rolled out the tools, and told the team to start using Copilot. But adding AI on top of a 40-year-old process isn't transformation. It's decoration. Andre Kaminski, Director of Advanced Technology Solutions at WorkSafeBC and author of "The AI-Native Software Development Lifecycle," joins Peter and Dave to talk about what it actually means to rebuild your delivery process around AI, not just bolt it on. They get into why optimizing code generation alone is the wrong focus, what the six phases of an AI-native SDLC look like in practice, and why the biggest challenge isn't the technology at all. It's the identity shift that comes with it. If your organization is asking "which AI tool should we use?" this episode will help you realize that's probably the wrong question.In this episode:Why AI-augmented and AI-native are very different thingsThe compounding learning effect and why early adopters are pulling further ahead every monthWhat prompt architecture actually means and why it matters more than codeHow to think about governance when prompts become your new source of truth Want to keep the conversation going? Drop us a line at feedback@definitelymaybeagile.com or find us at definitelymaybeagile.com. If this episode got you thinking, share it with someone who needs to hear it.
Effective artificial intelligence (AI) prompting is essential for students to use AI to enhance critical thinking and clinical decision-making skills. Dr. Zeigler shares a framework she and a colleague developed for effective prompting: the CARE (Context, Action, Role, Expectation) Prompt Engineering Framework. The CARE framework provides a systematic outline for nurse educators to use in teaching students clinical decision-making skills and to ensure that effective AI prompts are used.
Während Deine Konkurrenz ihre App bereits verkauft, ist Dein Team noch beim Mockup.Was, wenn Prototypen in Minuten statt Wochen entstehen könnten? …darüber sprechen wir in diesem #KIundTECH Podcast Interview.In dieser Episode spricht Holger Winkler mit Jens Rusitschka, von Kick & Boost über AI-gestütztes Rapid Prototyping und was es konkret bedeutet, Figma und Penpot hinter sich zu lassen. Statt wochenlanger Mockup-Zyklen entstehen erste klickbare Prototypen heute in Minuten – direkt aus dem Workshop-Scribble. Wer als Produkt- oder UX-Team nicht jetzt umdenkt, riskiert, vom Markt überholt zu werden. Warum sollten Sie dieses Interview nicht verpassen?Sie erfahren, warum führende Start-ups Figma komplett aus ihrem Prozess gestrichen habenSie verstehen, welche Rolle UX- und Produkt-Designer im AI-Zeitalter wirklich spielen – und warum sie wichtiger sind denn jeSie lernen, welche Skills Produkt- und Tech-Teams jetzt aufbauen müssen, um wettbewerbsfähig zu bleibenSie bekommen eine ehrliche Einschätzung zur Qualitätsfrage: Wann liefert AI-Prototyping wirklich gute Ergebnisse?Sie erhalten konkrete Empfehlungen, wie Unternehmen AI-First-Kompetenzen schrittweise und ohne Risiko aufbauenTakeaways aus dem Interview:AI Rapid Prototyping kombiniert Produkt- und Nutzerkontexte mit Prompt Engineering, um klickbare Prototypen in Minuten statt Wochen zu erstellenDie Qualität steht und fällt mit dem Setup: Nutzerkontexte, Style Guides und klare Guidelines sind entscheidendWer als UX- oder Produkt-Designer seine Prozesse nicht beschleunigt, riskiert, vollständig aus dem Entwicklungsprozess herauszufallenPrompt Engineering und ein grundlegendes Verständnis von Softwarearchitektur werden zu Pflichtkompetenzen für Design- und ProduktteamsAI ohne erfahrene Designer produziert schlechte Ergebnisse – die Technologie macht gute Leute besser, ersetzt sie aber nichtUnternehmen sollten AI-First-Skills in kleinen, risikoarmen Projekten aufbauen – nicht mit dem ersten großen KundenprojektDie besten Ergebnisse entstehen, wenn A-Mitarbeiter mit echtem Interesse die neuen Methoden intern vorantreibenÜber #KIundTECH – der KIundTECH Podcast:KI & TECH in Unternehmen und Gesellschaft: Wettbewerbsvorteil oder Sargnagel?Was machst Du daraus?Wir sprechen mit Anwendern und Vordenkern über Chancen, Risiken und Auswirkungen von KI – klar, praxisnah und auf den Punkt. Damit unsere Hörer schneller die richtigen Entscheidungen treffen können.Mehr erfahren: https://kiundtech.com/ Holger Winkler auf LinkedIn: https://www.linkedin.com/in/holger-winkler/ Du möchtest einen Gast vorschlagen oder selber zu uns in die Sendung kommen?Alle Informationen und ein Bewerbungsformular findest du auf unserer Webseite!
In dieser Folge gehen wir den nächsten Schritt im KI-Schwerpunkt und zeigen ganz konkret, wie Logistiker mit einfachen Mitteln echte Mehrwerte schaffen können. Im Fokus stehen dabei drei praxisnahe Anwendungen: eigene GPTs bauen, Prozesse KI-tauglich machen und komplexe Informationen effizient auswerten. Anhand konkreter Beispiele wird deutlich, dass KI nicht nur ein Buzzword ist, sondern direkt im Alltag eingesetzt werden kann. Besonders spannend: Viele dieser Anwendungen lassen sich ohne große IT-Infrastruktur sofort umsetzen. Damit wird klar, wie schnell man von der Theorie in die Praxis kommt. - Eigene GPTs für wiederkehrende Aufgaben: Wie du dir mit wenigen Klicks ein System baust, das z. B. Kundenmails standardisiert beantwortet und dir täglich Zeit spart. - Prozesse KI-tauglich machen: Warum saubere, strukturierte Prozesse die Grundlage für erfolgreiche KI-Nutzung sind – inklusive Beispiel zur automatischen SOP-Erstellung. - KI als Analyse- und Wissens-Tool: Wie du mit Tools wie NotebookLM komplexe Inhalte aus mehreren Quellen zusammenführst und sogar Netzwerkplanungen ableiten kannst. Diese Folge zeigt sehr klar: Der Einstieg in KI ist keine Frage von Budget, sondern von Verständnis und Anwendung. Wer seine Prozesse kennt und strukturiert denkt, kann schon heute enorme Effizienzgewinne realisieren. Gleichzeitig wird deutlich, dass KI kein Ersatz für Denken ist, sondern ein extrem starkes Werkzeug zur Unterstützung. Wenn du wissen willst, wie du KI konkret in deinem Alltag einsetzen kannst, solltest du diese Folge unbedingt hören.
AI is changing how products get built. That part isn't news. But it's also changing who needs to do what - and that's a conversation most organizations haven't had yet.In this episode, Peter and Dave dig into one of the more interesting tensions emerging in 2026: as coding agents take on more of the actual development work, the thing that drives quality output isn't just better tooling. It's better context. Clear, structured, well-owned context that tells agents what you're actually trying to build, who it's for, and what can't be compromised.Which raises a real question. Who owns that? Where does it live? And what happens when it's missing - which, let's be honest, it usually is?They get into the rise of "context engineering" as a role, why the name creates its own problems, and what this shift means for product owners, product managers, and the long-standing gap between business and technology teams.Key takeaways from this episode:Most organizations have never truly written down their product intent in a structured, usable way. AI is making that gap impossible to ignore.Good context drives better outcomes from agents - and the work of capturing, structuring, and maintaining that context needs a clear owner.Start asking: what context exists to guide your products? Where is it stored? Who creates it? Who picks it up and moves it through the system?The business and technology divide matters more now, not less. You can't afford to throw things over the wall anymore. The two groups need to work closely together, not in parallel.What's new here isn't the idea. It's the urgency. These are transformations organizations have been attempting for years. AI is just forcing the issue.Want to continue the conversation?If this episode brought up questions about how your teams are navigating the shift to agentic development - or where context ownership actually sits in your organization - reach out at feedback@definitelymaybeagile.com. We'd love to hear what you're seeing.
Recorded live at Smart Marketer Mentor Tables in Nashville, this is Kurt's full talk on why most people are bad at AI and what to do about it. The pitch was that AI would let you do less work and produce better output. What actually happened: everyone is producing more slop, faster. Inside: the RTF framework that fixes any prompt in 30 seconds, the 10 AI tools Kurt actually uses every day (not the ones he gets paid to recommend), and why Claude Cowork is the single tool worth your attention in 2026. SPONSORS Swym - Wishlists, Back in Stock alerts, & more getswym.com/kurt Cleverific - Smart order editing for Shopify cleverific.com Zipify - Build high-converting sales funnels zipify.com/KURT LINKS Smart Marketer: https://smartmarketer.com Microsoft Clarity: https://clarity.microsoft.com Topaz Labs: https://www.topazlabs.com Adobe Enhance: https://podcast.adobe.com WhisperFlow: https://wisprflow.ai Whisper Transcription (Mac app): https://goodsnooze.gumroad.com/l/whisper-transcription Adobe Firefly: https://firefly.adobe.com Nano Banana (Google): https://gemini.google.com Grok: https://grok.com Claude Code: https://claude.com/claude-code Claude Cowork: https://claude.com Crisp Chat: https://crisp.chat Tidio: https://www.tidio.com Matrixify: https://matrixify.app WORK WITH KURT Apply for Shopify Help ethercycle.com/apply See Our Results ethercycle.com/work Free Newsletter kurtelster.com The Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.
This episode of Inspiration Nation sees Ryan Boniface and Jose Noya exploring content absorption, social media addiction, dopamine hits, and how different generations have experienced the shift from pre-internet childhoods to today's always-on digital world. From three-channel television, newspapers, and Dallas hysteria to TikTok, Instagram reels, AI, and algorithm-driven attention, the conversation asks a powerful question: are we using technology intentionally, or is it using us? The central quote, “We don't think our way to action, we act our way into habits of thinking,” shapes the whole episode, reminding us that real change does not come from endlessly scrolling, overthinking, or consuming more content, but from taking small, deliberate actions that build better habits and a better mindset.Ryan and Jose reflect on boredom, planning, execution, the attention economy, doom scrolling, phone addiction, and how tools like Google, AI, AutoTrader, Facebook Marketplace, and smartphones can either distract us or help us move forward. It is an honest and relatable discussion about media consumption, digital habits, productivity, and making technology work for your goals instead of against them. Enjoyed the episode? Be sure to like, subscribe, and leave a review for the podcast, follow Inspiration Nation on X at @ListenToIN, and visit www.InspirationNation.org.uk for more.
In this episode of Inspiration Nation, Lee Kemp and Ryan Boniface explore how social media, AI, short-form content, dopamine-driven scrolling, and the speed of modern news are reshaping the way we think. Using the quote, “We don't think our way to action, we act our way into habits of thinking,” they unpack whether we are truly developing deeper thought or simply reacting faster to an always-on digital world. From attention spans and doom scrolling to clickbait, algorithms, validation, and the rise of AI tools like ChatGPT, this conversation digs into how our opinions are formed and why intentional thinking matters more than ever.At the heart of the episode is a powerful reminder that today's challenges are not entirely new, they are just arriving in a different form: a devil in a different dress. Lee and Ryan discuss AI as a crutch or catalyst, the value of consuming diverse opinions, and why changing your mind based on informed thinking is a strength, not a weakness. If you are interested in mindset, critical thinking, social media habits, attention span, AI, personal growth, and modern decision-making, this episode is packed with insight. Like, subscribe, and leave a review to support the podcast, follow Inspiration Nation on X at @ListenToIN, and visit www.InspirationNation.org.uk for more.
En este episodio vamos a charlar sobre algunas técnicas que podemos usar para mejorar las respuestas y la calidad de nuestros prompts.
Ansh Mehra is the Founder at the Cutting Edge Group, and has trained global enterprises in UAE & India on AI and Automations. He's also represented India at the Global Prompt Engineering Championship 2025. Ansh is also the official instructor for OpenAI Academy as well, where he teaches the basics of Prompt Engineering in Hindi & English. He's competed at MIT, Harvard and Microsoft Imagine Cup as a student and also judged Stanford TreeHacks.His organisation, The Cutting Edge School has trained teams for The Economic Times, The Times of India, Dubai Future Foundation, Dubai Holdings, Lenskart, Reliance Digital, HP, Intel and many other global brands. They were also awarded the Best AI Educator of the Year by Economic Times Edge as well. His cohorts have been attended by professionals across 55 countries. His online courses have students from age 8 to 89!His profiles have a following of more than 800K+ audience of AI Learners and Developers across social media. Check him out
This Podcast is sponsored by Team Simmer. Go to TeamSimmer and use the coupon code DEVIATE for 10% on individual course purchases. The Technical Marketing Handbook provides a comprehensive journey through technical marketing principles. (Getting an update soon) Sign up to the Simmer Newsletter for the latest news in Technical Marketing. NEW SIMMER COURSE ALERT! - Data Analysis with R - taught by Arben Kqiku LIMITED 20% off offer on the Javascript for Digital Marketers Course - Get it while it lasts! Latest content from Simo Ahava Add IPv6 Support To Your Server-side GTM Load Balancer Latest content from Juliana Jackson The business model is THE strategy (subscribe to the newsletter for more amazing content) LIVE from Measurecamp Helsinki - 40' of content about main effects & interactions with Matt Gershoff - will be available to all my Substack subcribers - sign up to my newsletter here: https://julianajackson.substack.com/ Mentioned in the episode: META announcement for new Click-Through Measurement Definition STAPE Content re: Meta Conversion tracking (comment from Stape team - Meta have changed the definition of view-through and added engaged-through etc., but it didn't affect how you report to pixel/capi) - https://stape.io/solutions/facebook-capi-tag - CAPI tag- https://stape.io/solutions/facebook-pixel-tag - pixel tag- https://stape.io/gtm-set-up-assistant Google Universal Commerce Protocol Agentic Misalignment (Anthropic): https://www.anthropic.com/research/agentic-misalignment Natural Emergent Misalignment from Reward Hacking (Anthropic): https://assets.anthropic.com/m/74342f2c96095771/original/Natural-emergent-misalignment-from-reward-hacking-paper.pdf This podcast is brought to you by Juliana Jackson and Simo Ahava.
“If you don't specify, it will fill in the gaps itself… and that's when you go wrong.” This episode of Inspiration Nation dives into the art (and myth) of “prompt engineering,” breaking it down into something far more relatable: communication. Lee, Ryan, and Jose explore how using AI tools like ChatGPT can feel frustrating when you can't quite articulate your thoughts—but also how small changes, like setting a role, giving context, and defining the output, can transform your results. From Excel struggles to tennis coaching, the trio share real-world examples that show AI isn't magic—it's a powerful “intelligent toddler” that thrives on clear direction.Packed with practical insights and humour, this episode is a must-listen for anyone using AI for productivity, learning, or everyday problem-solving. Whether you're refining prompts, exploring tools like Microsoft Copilot, or just curious about how to get better results, you'll walk away with actionable tips to improve your workflow and confidence. Enjoyed the episode? Don't forget to like, subscribe, and leave a review! Follow us on X @ListenToIN and visit www.InspirationNation.org.uk for more inspiring content.
Why 90% of organizations use AI but only 9% have mastered it — and how that gap is your golden ticket to freedom https://DarkHorseEntrepreneur.com Episode Summary Discover the 9 essential AI skills every digital entrepreneur and busy parent should master to create profitable side hustles and replace their paychecks. In this episode, we explore how AI-driven online entrepreneurship offers incredible marketing strategies and income opportunities. Learn why AI-skilled professionals earn significantly more and how this trend is reshaping the work-from-home landscape for parents seeking flexible, passive income streams. We'll guide you through step-by-step methods to develop these in-demand skills starting today, helping you balance entrepreneurship with family life. Tune in to gain insights into digital marketing tips, online business strategies, and how to harness AI for sustainable financial freedom while preserving precious family time. Key Timestamps & Insights 00:00 - Opening 01:15 - Episode Overview 05:00 - The Discovery 06:00 - Skill #1: AI Literacy 07:30 - Skill #2: Prompt Engineering 09:15 - Skill #3: AI Tool Proficiency 10:45 - Skill #4: Critical AI Evaluation 12:00 - Skill #5: AI-Powered Data Analysis 13:30 - Skill #6: AI Automation Engineering 15:30 - Skill #7: AI Ethics and Governance 17:00 - Skill #8: Human-AI Collaboration 18:15 - Skill #9: Continuous Learning and Adaptation 20:30 - The Bigger Picture 21:45 - Whiskered Wisdom Strategies Shared AI Literacy Development Strategy Daily 30-minute experimentation with AI tools Challenge AI responses and ask for reasoning Build intuition through hands-on practice Prompt Engineering Mastery Four-part formula: Role, Context, Command, Format Develop master prompts for recurring tasks Focus on one task type before expanding Tool Proficiency Approach Pick one AI tool and master it completely Depth over breadth strategy Integrate tools into existing workflows Critical Evaluation Framework Three-question system for every AI output Cross-reference important information Understand AI limitations and biases Automation Implementation Start with one repetitive task Use no-code platforms connected to AI services Build workflows that run independently Resources Mentioned AI Tools: ChatGPT (OpenAI) Claude (Anthropic) Microsoft Copilot Google Gemini Automation Platforms: Zapier Make.com n8n Microsoft Power Automate Learning Frameworks: OECD AI Literacy Competencies Partnership for 21st Century Learning Pyramid Principle (referenced in style) Research Sources: World Economic Forum skills projection BBC AI accuracy study Stanford University collaboration research Microsoft Copilot productivity data Action Steps to Take Immediate (This Week): Choose one of the 9 AI skills that resonates with your situation Spend 30 minutes researching that specific skill Sign up for one AI tool (ChatGPT, Claude, or Copilot) Practice the three-question evaluation framework Short-term (Next Month): Develop your first master prompt for a recurring task Identify one repetitive workflow to automate Join AI communities and networks Create a learning schedule for skill development Long-term (Next Quarter): Master your chosen foundational skill completely Begin developing a second complementary skill Apply skills to create income-generating opportunities Document your progress and results Subscribe to the AI Escape Plan newsletter for parents ready to break free from the 9-to-5 grind. Get praical, AI-powered strategies to start, grow, and streamline side hustles while protecting family time. DarkHorseInsider.com
In this episode of CDW Tech Talks, Brian Matthews and Ashley Otto explore how organizations can train and leverage AI Copilot agents effectively within their workflows. They focus on practical strategies, real-world use cases and best practices to maximize AI agent impact. To learn more, visit cdw.ca Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
The truth is, most financial advisors know they should be using AI. Very few know where to actually start. Too many tools. Too many platforms. Too much noise. But the advisors who take the time to learn it now will have a significant edge over those who wait. In this special edition of Advisor Talk, Frank LaRosa is joined by Chief Information Officer Sue Cheema, Chief Marketing Officer Brian Lutz, Director of Marketing and Brand Strategy Wade Shields, and co-host Stacey Frank for a wide-ranging roundtable on what AI actually means for financial advisors today. The group breaks down how advisors can use AI to grow their business, serve clients more effectively, and free up time, including how to build custom GPTs, craft better prompts, and choose the right platform for the right task. They also address the bigger picture: what AI will never be able to replace, why the human side of financial advising remains irreplaceable, and why advisors who ignore AI risk being left behind by the ones who embrace it. Frank and the team also discuss how AI is changing the way advisors should think about their brand, their marketing, and the client experience, and why the advisors who lean into what AI cannot do will be the ones who win long term. Questions answered in this episode include: Will AI replace financial advisors? How should a financial advisor start using AI in their practice? What is the difference between ChatGPT, Claude, and Gemini? What is a custom GPT and how can advisors use one? What is prompt engineering and why does it matter? How is AI changing financial advisor marketing and branding? What can AI never replace in the advisor-client relationship? Chapters: 00:00 – Introduction and Why AI Matters for Advisors 03:57 – How Firms Are Already Using AI to Scan Books of Business 07:03 – What AI Cannot Replace: Empathy and the Human Edge 11:23 – Prompt Engineering: How to Get Better Answers from AI 14:10 – Building Custom GPTs for Your Advisory Practice 22:37 – ChatGPT vs. Claude vs. Gemini: Which One Should You Use 44:08 – Why AI Will Not Replace Advisors But This Will 49:05 – How to Reach the Team at Elite Consulting Partners Learn more about Elite and our resources: Elite Consulting Partners | Financial Advisor Transitions https://eliteconsultingpartners.com Elite Marketing Concepts | Marketing Services for Financial Advisors https://elitemarketingconcepts.com Elite Advisor Successions | Advisor Mergers & Acquisitions https://eliteadvisorsuccessions.com JEDI Database Solutions | Technology Solutions for Advisors https://jedidatabasesolutions.com Listen to more Advisor Talk episodes: https://eliteconsultingpartners.com/podcasts/ Follow us on LinkedIn: https://www.linkedin.com/company/elite-consulting-partners/ Listen to more Advisor Talk episodes: https://eliteconsultingpartners.com/podcasts/
Die größte Chance für Organisationen seit Jahrzehnten
Send a textFirst Aired Apr 23, 2025If you've been following the AI space lately, this episode hits differently the second time around.When Al sat down with Ruchir Puri — Chief Scientist of IBM Research, IBM Fellow, and the architect behind Watson and watsonx — the conversation covered ground that's only gotten more relevant since: the death of prompt engineering, the rise of agentic AI, and why 2025 was always going to be the year agents broke through in the enterprise.Ruchir doesn't deal in hype. He deals in systems — real ones, running at scale, in industries where a hallucinated number has consequences. In this masterclass, he walks through inference scaling, memory in AI systems, and what it actually means to build AI that's useful rather than just impressive.If you're new to the show, this is the episode to start with. If you've heard it before — trust us, it lands differently now.Key moments:12:21 — Why prompt engineering is already fading (and what replaces it)13:39 — Inference scaling: the frontier that's not about training anymore16:26 — Why AI systems that "forget" are failing us17:56 — The full agentic loop: Think, Plan, Act, Execute, Observe, Reflect23:45 — Why enterprise AI agents are no longer a future stateMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
Send a textFirst Aired Apr 23, 2025If you've been following the AI space lately, this episode hits differently the second time around.When Al sat down with Ruchir Puri — Chief Scientist of IBM Research, IBM Fellow, and the architect behind Watson and watsonx — the conversation covered ground that's only gotten more relevant since: the death of prompt engineering, the rise of agentic AI, and why 2025 was always going to be the year agents broke through in the enterprise.Ruchir doesn't deal in hype. He deals in systems — real ones, running at scale, in industries where a hallucinated number has consequences. In this masterclass, he walks through inference scaling, memory in AI systems, and what it actually means to build AI that's useful rather than just impressive.If you're new to the show, this is the episode to start with. If you've heard it before — trust us, it lands differently now.Key moments:12:21 — Why prompt engineering is already fading (and what replaces it)13:39 — Inference scaling: the frontier that's not about training anymore16:26 — Why AI systems that "forget" are failing us17:56 — The full agentic loop: Think, Plan, Act, Execute, Observe, Reflect23:45 — Why enterprise AI agents are no longer a future stateMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
In this episode of the Scrum.org Community Podcast, Eric Naiburg, COO at Scrum.org and Darrell Fernandes, Executive Advisor at Scrum.org continue to dive into how to make AI a true teammate in product development while answering questions from a recent webinar on the topic. They explore the importance of creating a context library to store domain-specific knowledge, enabling AI to provide accurate, efficient answers. Learn how consistent definitions, thoughtful prompt engineering, and regular updates to your AI context can improve team collaboration, reduce costs, and empower Scrum Masters to guide effective AI usage.
Lots of people are afraid of artificial intelligence and its potential for deception, fraud, harm and control. We also know that the bible's words will be fulfilled when the NWO system weaponizes this technology to shut dissidents out of society. But can such a thing glorify God? Today I want to share with you some thoughts after spending many hours working on a big project involving AI, and what I learned about technology and the glory of God. * 00:00 - Introduction* 25:35 - Lesson #1: Challenges & Good Works* 33:24 - Lesson #2: Computers & The Gospel* 45:42 - Lesson #3: Creation* 59:27 - Lesson #4: Prompt Engineering * 1:12:18 - Lesson #5: God's Sovereignty* 1:27:47 - Final Thoughts This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.danceoflife.com/subscribe
Send a textAI automation is changing how businesses handle sales calls, website builds, internal systems, and admin tasks using AI agents, prompt engineering, and real business data. This episode breaks down real world AI use cases including sales call analysis, website automation, email prioritization, and building internal AI software to replace manual workflows. Learn how companies can use AI integration, AI coding tools, and process documentation to improve efficiency, reduce overhead, and prepare for the AI shift already happening.If AI is already costing you time and money, get on a strategy call and build a custom AI system before your competitors figure it out: https://bit.ly/4jMZtxu#AIautomation #BusinessAutomation #ArtificialIntelligence #AIagents #entrepreneurship --------------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:2026 Q1 Repeat Buyer Formula: https://bit.ly/47KJmOdGrowth Email Marketing Strategies: https://hubs.ly/Q04457QF0Amazon Proft Margin Defense 2026: https://hubs.ly/Q042trRH0Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTAmazon Seller Strategy Report 2026: https://bit.ly/3YN1RME2026 Ecommerce Website & SEO Readiness Checklist: https://hubs.ly/Q040Jg0M0Amazon Crisis Kit: https://bit.ly/4maWHn0TIMESTAMPS00:00 – AI Is Finally Ready for Business02:00 – Using AI to Analyze Sales Calls and Customer Pain Points04:00 – Extracting Amazon Seller Pain Points With AI Tools05:20 – Why Businesses Are Pivoting to AI Services09:56 – The AI Singularity and What It Means for Companies14:30 – Cutting Costs With AI Instead of Cutting Teams17:00 – Replacing Admin Work With AI Agents18:58 – Building an AI Website in One Afternoon21:35 – Live Demo: Updating a Website With AI25:42 – Building Internal AI Software With Company Data28:00 – Prompt Engineering and Iteration at Scale30:40 – Automating Email With AI for Daily Efficiency32:28 – Packaging AI Services and Selling in Public34:56 – Why AI Content Can Reach a Bigger Audience36:04 – Fixing Websites Fast With AI38:46 – AI FOMO and Moving Before It's Too Late________________________________Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast:My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show
Geschätzte Lesedauer: 9 Minuten Hallo und herzlich willkommen! Hier ist euer Host Christopher Funk. Schön, dass du dir heute wieder die Zeit nimmst. Konkret Zeit, um an deinem Vertrieb zu arbeiten und nicht nur im Vertrieb. Wenn du aktuell merkst, dass deine alte B2B Vertriebsstrategie nicht mehr richtig zieht, dann bist du hier genau richtig. Zunächst lass mich direkt mit einer echten Story aus meiner letzten Woche starten. Ich saß bei einem Chef eines richtig starken Maschinenbauers. Es ist ein tolles Unternehmen mit super Produkten. Zudem ist die Firma extrem innovativ. Dennoch saß der Chef mir gegenüber, schüttelte den Kopf und sagte: "Christopher, mein Außendienst dreht langsam völlig durch." Warum passiert das? Früher fuhr der Verkäufer zum Leiter der Produktion. Zuerst trank man Kaffee. Anschließend besprach man die Details der neuen Anlage. Schließlich machte der Verkäufer einen guten Preis. Und der Deal war durch. Heute ist das allerdings alles ganz anders. Wie bringst du dein Team mit einer modernen B2B Vertriebsstrategie daher wieder auf die Erfolgsspur? Genau das schauen wir uns heute sehr genau an. Die neue Realität für deine B2B Vertriebsstrategie Wenn wir heute über messbaren Erfolg im Verkauf sprechen, müssen wir zunächst ehrlich sein. Das Spielfeld hat sich nämlich radikal verändert. Die alten Zeiten sind definitiv vorbei. Folglich muss sich auch dein Ansatz anpassen. Warum der Verkauf heute so viel schwerer ist Heute sitzen in den Terminen plötzlich Leute, die früher nie dabei waren. Zum Beispiel ist der CFO da. Zusätzlich spricht der IT-Leiter mit, weil die Anlage in das Netz der Firma passen muss. Ein Chefeinkäufer redet ebenso ein Wörtchen mit. Und dann gibt es oft noch einen Projektmanager aus Italien. Plötzlich wollen also alle mitreden. Dadurch zieht sich der Weg zum Kauf wie Kaugummi. Deine Verkäufer wissen deshalb oft gar nicht mehr, an welcher Front sie eigentlich kämpfen sollen. Und weißt du was? Du bist damit natürlich nicht allein. Die B2B-Welt ist schlichtweg brutal komplex geworden. Das Buying Center: Über 5 Entscheider am Tisch Das sogenannte Buying Center ist mittlerweile riesig. Eine Analyse zeigt beispielsweise: Im Schnitt sind heute 5,4 Leute an der Entscheidung für eine neue Lösung beteiligt. Überleg mal, was das konkret für deine Verkäufer bedeutet. Aktuelle Studien von Gartner sagen hierzu, dass 72 Prozent der Verkäufer völlig überfordert sind. Die Menge an Skills, die heute von ihnen verlangt werden, ist einfach enorm. Jeder Zweite kapituliert fast vor der Masse an neuen Tools. Wenn dein Team also stagniert, liegt das nicht daran, dass sie das Verkaufen plötzlich verlernt haben. Vielmehr hat sich die Welt um sie herum einfach rasant gedreht. Die DNA der Top-Performer: Eine neue Sichtweise Genau deshalb sezieren wir heute die DNA der Top-Verkäufer. Was machen die besten Leute heute eigentlich anders? Sie haben vor allem eine glasklare B2B Vertriebsstrategie, die auf drei Säulen aufbaut. Warum alte Tricks heute nicht mehr wirken Es reicht heute einfach nicht mehr, stumpf die reinen Daten einer Maschine zu nennen. Die Kunden kennen diese Fakten meistens schon aus dem Internet. Wer heute lediglich Features aufzählt, verliert. Der Kunde nickt zwar freundlich, kauft aber am Ende bei der Konkurrenz. Die drei Säulen für deinen echten Verkaufserfolg Gartner hat kürzlich über 3.500 B2B-Verkäufer genau analysiert. Und zwar über alle Branchen und Länder hinweg. Dabei kamen schließlich drei ganz konkrete Kernkompetenzen heraus. Verkäufer, die diese drei Säulen in ihre B2B Vertriebsstrategie einbauen, übertreffen ihre Ziele damit mit einer bis zu vierfach höheren Chance. Das ist übrigens keine reine Theorie, sondern das sind echte, belegte Zahlen. Säule 1: Mentalizing – Das Upgrade für dein Team Die erste Kernkompetenz nennt sich Mentalizing. Das klingt vielleicht wie aus einem Studium der Psychologie. Ist es aber nicht. Es ist vielmehr ein zutiefst menschliches Basic im Vertrieb. Nur eben auf einem völlig neuen Level. Die wahren Wünsche des Kunden richtig lesen Mentalizing ist grundsätzlich die Fähigkeit, echte Motive und Einwände der Käufer zu finden. Du musst dafür tief hinter die Fassade blicken. Technik spielt hier überhaupt keine Rolle. Es geht rein um den Menschen. Vier konkrete Skills für besseres Mentalizing Gartner teilt dieses Mentalizing daher in vier konkrete Skills, die du deinem Team beibringen musst. Aktives Zuhören als absolute Basis Das ist wirklich absolut wichtig. Aktives Zuhören ist nämlich eine Technik, die man lernen kann. Es geht nicht darum, auf den eigenen Text zu warten. Es geht vielmehr darum, dem Käufer voll und ganz zu folgen. Der direkte Wechsel der Perspektive Deine Leute müssen sich zudem wirklich in die Lage des Käufers versetzen. Wie sieht die Welt eigentlich aus seiner Sicht aus? Welche Probleme plagen ihn täglich? Echte Empathie im harten Verkaufsgespräch Verstehe außerdem, wie sich der Kunde auf seiner schweren Reise zum Kauf fühlt. Empathie bedeutet dabei, diese tiefe Unsicherheit und den Druck des Kunden zu erkennen und aufzufangen. Infos sammeln und richtig nutzen Hier führst du letztendlich alle Infos zusammen. Lass uns das kurz konkret machen: Ein Leiter der Produktion fragt plötzlich aggressiv nach Zyklen für die Wartung. Ein normaler Verkäufer rattert jetzt das PDF runter. Ein Verkäufer, der Mentalizing beherrscht, hört hingegen die echte Angst in der Stimme. Er versteht sofort: Der Leiter hat massiven Druck vom Chef, weil die alte Anlage letzte Woche ausfiel. Seine wahre Motivation ist somit pure Sicherheit für seinen Job. Wer das lesen kann, erreicht seine Ziele folglich dreimal häufiger! Säule 2: Taktische Flexibilität im Verkaufsalltag Kommen wir nun zur zweiten Säule für deine B2B Vertriebsstrategie. Wir im Vertrieb lieben bekanntlich klare Prozesse. Ich baue selbst oft Playbooks mit einfachen Checklisten. Das ist auch gut so. Warum starre Playbooks heute viele Deals kosten Dennoch gilt: Wenn der Verkäufer beim Kunden sitzt und nur stur seinen Faden abarbeitet, fährt er den Deal meist gegen die Wand. Ein gutes Beispiel hierfür: Dein Key Account Manager zeigt gerade das neue System für die Steuerung. Plötzlich kommen der CFO und der Chef dazu. Der Chef fragt direkt nach Sicherheit bei der Lieferung und nach flexiblen Modellen für das Geld. Ein starrer Verkäufer fängt daraufhin sofort an zu schwitzen. Er blättert verzweifelt zu Folie 28. Damit ist das Gespräch leider tot. Lernagilität und clevere Anpassung an die Lage Taktische Flexibilität besteht daher aus Lernagilität und Vielseitigkeit. Ein agiler Verkäufer macht den Laptop einfach zu. Er wechselt in Echtzeit seine Strategie. Er holt die neuen Entscheider genau da ab, wo sie gerade stehen. Verkäufer, die diese schnelle Agilität zeigen, knacken ihre Ziele dadurch 3,4 Mal leichter. Du musst nämlich switchen können: Mal klassischer Verkauf, mal Challenger Sale, mal tiefes Spin-Selling. Säule 3: Künstliche Intelligenz als dein Sales-Partner Die dritte Säule ist schließlich der absolute Turbo. Es geht um die echte KI-Partnerschaft. Oft höre ich allerdings von Leitern im Vertrieb: "Meine Leute sollen beim Kunden sein und Vertrauen aufbauen. Die sollen nicht am Computer spielen." Dieser Impuls ist zwar logisch, aber extrem fatal. Wie Top-Verkäufer richtig KI im Vertrieb nutzen Technik ist heute absolut kein Extra mehr. Sie ist vielmehr eine klare Pflicht. Top-Verkäufer wollen heute ganz gezielt KI im Vertrieb nutzen. Und zwar nicht als dummes Tool. Sie nutzen es stattdessen als echten Kollegen im Team. Perfekte Vorbereitung in nur 3 schnellen Minuten Das Zauberwort heißt hierbei Prompt Engineering. Normale Verkäufer verbringen oft viele Stunden mit der Suche für einen Pitch. High-Performance-Verkäufer gehen hingegen zu ihrem KI-Partner (wie Perplexity oder ChatGPT) und geben einen klaren Befehl ein. Sie definieren zuerst eine Persona, geben den Kontext und fordern dann genaue Aufgaben. Das Ergebnis? Eine perfekte, passgenaue Vorbereitung mit smarten Ideen für das Gespräch. Und das in drei Minuten anstatt in drei Stunden. Der Kunde wird danach sagen: "Schön, dass Sie sich so extrem gut vorbereitet haben. Das spart uns viel Zeit." Transkribieren als extremer Turbo für deinen Umsatz Verkäufer mit starker KI-Kompetenz erreichen ihre Ziele sogar 3,7 Mal häufiger. Die KI-Kompetenz schlägt damit sogar das Mentalizing und die Flexibilität. Denk außerdem an das Transkribieren von Gesprächen. Es spart enorm viel Zeit bei der Arbeit danach. Du hast somit mehr Zeit für den Kunden. Wer KI als Partner erkennt und strategisch KI im Vertrieb nutzen kann, hat schließlich einen riesigen Vorteil. Ein Vorteil, der im deutschen Mittelstand leider noch viel zu selten genutzt wird. So verankerst du die neuen Skills fest im Team Jetzt kommt jedoch der entscheidende Punkt für dich als Chef. Wie bekommst du diese neue B2B Vertriebsstrategie eigentlich auf die Straße? Warum Gießkannen-Trainings heute gar nichts bringen Das alte Prinzip der Gießkanne funktioniert einfach nicht mehr. Du schickst dein Team beispielsweise für zwei Tage in ein teures Hotel. Dort werden ihnen Folien um die Ohren geknallt. Und am Montag hoffst du dann auf ein Wunder. Wir alle wissen: Das klappt niemals. Die Verkäufer wehren sich nämlich massiv gegen solche Crash-Kurse. Lernen direkt am Arbeitsplatz klug etablieren Was stattdessen hervorragend funktioniert, ist Just-in-Time-Learning. Das bedeutet, du gibst immer wieder kleine "Nudges" (Anstupser) direkt im Alltag. Du webst das Lernen also fest in den echten Alltag des Vertriebs ein. Und zwar genau dann, wenn die Skills gebraucht werden. Firmen, die das tun, haben eine extrem höhere Chance, ihre Ziele zu übertreffen. Das wirklich geniale Praxis-Beispiel von Salesforce Salesforce hat das wirklich genial in der Praxis umgesetzt. Sie haben nicht nur einfache Videos für das Training hochgeladen. Sie haben vielmehr ständige Tests genutzt, um genau zu sehen, wo es bei welchem Verkäufer hakt. Der wichtigste Karriere-Hebel für dein Team Und der größte Hebel dabei: Sie haben die neuen Skills direkt mit dem Geld und der Karriere fest verknüpft. Wenn du zum Beispiel Senior Account Manager werden willst, musst du nicht nur deine Zahlen bringen. Du musst ebenso klare Lernziele erreichen. Wenn die Leute endlich verstehen, dass sie sich geistig weiterentwickeln müssen, um auf die nächste Stufe zu kommen, bist du plötzlich auf einem ganz anderen Level. Fazit: Dein Weg zum High-Performing Sales-Team Wir haben heute klar gesehen, wie extrem wichtig es ist, diese drei Kompetenzen zu pushen. Nutze diese Ideen unbedingt für deine B2B Vertriebsstrategie. Mach dein Team außerdem flexibel. Integriere zudem KI aktiv in euren Alltag. Quick Takeaways für deinen schnellen Erfolg Der Prozess für den Kauf ist heute komplexer denn je (über 5 Leute im Schnitt). Eine solide B2B Vertriebsstrategie braucht zwingend starkes Mentalizing, um echte Motive zu finden. Starre Playbooks sind mittlerweile tot. Du brauchst daher echte Flexibilität. Top-Verkäufer, die bereits erfolgreich KI im Vertrieb nutzen, bereiten sich in Rekordzeit vor. Verzichte bitte auf alte Seminare. Setze stattdessen auf Lernen direkt im Alltag. Verknüpfe die Entwicklung von neuen Skills außerdem direkt mit eurer Karriereplanung. Hole dir schließlich externe Hilfe, wenn du im Tagesgeschäft ertrinkst. Wenn du dein Team von reinen "Feature-Tellern" zu echten High-Performern umbauen willst, dann mach das nicht allein. Es gibt nämlich Experten, die dir dabei optimal helfen. Lass uns zusammen besser werden. Besser als gestern. Die Chancen sind da. Nutze sie jetzt! Gib wie immer alles, bis zum nächsten Mal, dein Christopher Funk.
This conversation was recorded at GOTO Copenhagen 2025.https://gotocph.comRod Johnson - Building the future of agent frameworks at EmbabelArjen Poutsma - Practical Insights from a Spring Framework VeteranTrisha Gee - Award-winning Engineer, Author and PC MemberRESOURCESRodhttps://twitter.com/springrodhttps://github.com/johnsonrhttps://www.linkedin.com/in/johnsonrodahttps://the-composition.com/@springrodArjenhttps://bsky.app/profile/poutsma.bsky.socialhttps://fosstodon.org/@poutsmahttps://github.com/poutsmahttps://www.linkedin.com/in/arjen-poutsma-288ba6Trishahttps://bsky.app/profile/trishagee.bsky.socialhttps://twitter.com/trisha_geehttps://github.com/trishageehttps://www.linkedin.com/in/trishageehttps://trishagee.comABSTRACTAsk me anything.Read the full abstract here:https://gotocph.com/2025/sessions/3927RECOMMENDED BOOKSRod Johnson • Expert One-On-One J2Ee Design and Development • https://amzn.to/48oCxAJJohnson, Höller, Arendsen, Risbert & Sampaleanu • Professional Java Development with the Spring Framework • https://amzn.to/44J4SRbTrisha Gee & Helen Scott • Getting to Know IntelliJ IDEA • https://amzn.to/3ZBgnGcKevlin Henney & Trisha Gee • 97 Things Every Java Programmer Should Know • https://amzn.to/3kiTwJJTrisha Gee, Kathy Sierra & Bert Bates • Head First Java • https://amzn.to/3k59BJ6BlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!
CEO & President Kyle and Graphic Designer & Brand strategist Kelsey explore how prompting has evolved from using AI like a “smarter Google” to structured strategies that deliver sharper, less generic results.They break down the CRIT framework (Context, Role, Interview, Task), share why detailed context reduces hallucinations, and explain how prompt libraries and model memory speed up repeatable work. The conversation also dives into context engineering with tools like Microsoft 365 Copilot and Google Workspace Gemini to make AI outputs more relevant and secure.Plus: common prompting mistakes, model comparisons, multimodal inputs, and how to onboard teams without losing brand consistency.Listen now to level up how you work with AI.00:00 Prompting Then vs Now: From “Smarter Google” to Strategic Skill 00:39 Why AI Sounds Vanilla: Averages, Models & AI Slop 01:33 Prompt Engineering & the CRIT Framework 02:35 Interview-Style Prompts: Fewer Hallucinations, Better Results 04:10 Garbage In, Garbage Out: Treat AI Like a New Hire 05:04 Let AI Help Write Prompts + Tools & Libraries 07:08 Why One-Liners Fall Flat (Contractor Analogy) 07:55 From Prompts to Systems: Templates & Model Memory 11:21 Context Engineering: Files, Memory & Workplace Data (Copilot/Gemini) 13:27 Over-Prompting: Context Limits & When to Reset 16:26 Set Outcomes, Don't Micromanage 18:22 Smarter Models: Gemini & Claude Need Less Steering 19:06 Claude Opus vs ChatGPT: Speed vs Detail 20:27 Multi-Model Workflow: Use Each for Its Strength 21:20 Why New Models Feel Smarter 22:11 Ask AI to Improve Your Prompts 24:42 Planning Mode: Structured Builds & AI Interviews 26:13 Training Teams: Frameworks, SOPs & Safe Experimentation 31:47 Multimodal & Voice Prompting (Gemini's Edge) 33:15 Wrap-Up & What's Next
Seit den frühen Tagen des "Prompt Engineering" hat sich viel getan. Wie kommt man im Jahr 2026 zu den besten Ergebnissen?
Norman Müller spricht mit den Gründern von ideastream.io Jan Groenefeld und Matthias Schmidt darüber, warum KI in Unternehmen oft stecken bleibt, wenn sie nur als Lizenzpaket verstanden wird. Im Zentrum steht die Frage, wie aus Ideen schnell verwertbare Arbeitsergebnisse werden, ohne Prompt Engineering und ohne Methodenwissen vorauszusetzen. IdeaStream.io setzt dafür auf einen kuratierten Innovationsprozess, in dem ein digitaler Innovationscoach Teams zu klaren Deliverables führt. Spannungsfeld der Folge ist der Unterschied zwischen Produktivität und Wertschöpfung und die Rolle von KI als Teil eines soziotechnischen Systems.Hier geht's zu den Shownotes:https://ventureaibriefing.substack.com/ To hear more, visit ventureaibriefing.substack.com
Norman Müller spricht mit den Gründern von ideastream.io Jan Groenefeld und Matthias Schmidt darüber, warum KI in Unternehmen oft stecken bleibt, wenn sie nur als Lizenzpaket verstanden wird. Im Zentrum steht die Frage, wie aus Ideen schnell verwertbare Arbeitsergebnisse werden, ohne Prompt Engineering und ohne Methodenwissen vorauszusetzen. IdeaStream.io setzt dafür auf einen kuratierten Innovationsprozess, in dem ein digitaler Innovationscoach Teams zu klaren Deliverables führt. Spannungsfeld der Folge ist der Unterschied zwischen Produktivität und Wertschöpfung und die Rolle von KI als Teil eines soziotechnischen Systems.00:00 Intro und Thema der Folge07:45 Jans Werdegang und Haltung zu KI08:54 Von KI Sandbox zu echter Implementierung10:59 Lizenzen sind keine Einführung11:21 Wertschöpfung versus Effizienz15:39 Nicht jedes Problem ist ein KI Problem22:59 Was IdeaStream konkret macht30:54 Warum Prompting bei Innovation scheitert31:23 Der Innovationscoach und der Prozess34:50 Beispiele aus Praxis und Workshop40:34 Einsatz in Startup Factory und Gründungsberatung42:20 Wunschkunden und Einsatzfelder52:22 Warum Corporates Startups ausbremsen57:41 Kurzes Q und A und AbschlussWenn du uns dabei unterstützen möchtest, diesen Podcast zu einer Allianz von Zukunftsarchitekten der KI-Transformation zu machen, in der wir offen über Chancen, Risiken und reale Erfahrungen mit Künstlicher Intelligenz sprechen, dann abonniere uns auf YouTube, Spotify oder Apple Podcasts. Dein Abonnement kostet dich nichts, hilft uns aber sehr, noch mehr herausragende Persönlichkeiten für tiefgehende und inspirierende Podcast Gespräche zu gewinnen. Vielen Dank für deinen Support.Darüber hinaus laden wir dich ein, Teil der Plattform des Bundesverbands für KI-Transformation e.V. zu werden. Hier vernetzen sich mittelständische Unternehmen, KI Expertinnen und Experten, Startups sowie Vertreterinnen und Vertreter aus Forschung und Wissenschaft, um Wissen zu teilen, Erfahrungen auszutauschen und um an konkreten KI-Projekten zu arbeiten. In unserer Podcast Community kannst du dich einbringen, mitdiskutieren und den Bundesverband als Mitglied aktiv unterstützen und mitprägen.Zur Plattform:https://www.venture-ai-germany.spaceVernetze dich mit Norman auf LinkedIn:https://www.linkedin.com/in/muellernorman
Send us a textPrompt Engineer: The New-Age Career That Teaches AI How to ThinkA few years ago, no one imagined that talking to AI could become a serious career.Today, companies across the world are hiring professionals whose job is not just to use AI—but to communicate with AI intelligently, ethically, and creatively.Welcome to the world of Prompt Engineering.In this episode of The Kapeel Gupta Career PodShow, we explore one of the fastest-emerging, future-proof careers of the AI age—a role that sits at the intersection of language, logic, creativity, and technology.If you enjoy: ✔ Asking the right questions ✔ Structuring thoughts clearly ✔ Experimenting and refining ideas ✔ Working with AI tools like ChatGPT, Gemini, Claude, or Midjourney ✔ Thinking deeply rather than coding endlessly—this episode might introduce you to a career you didn't know existed, but one that may suit you perfectly.In this episode, you'll discover:
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.This episode originally aired July 29, 2025.
The marketing teams winning with AI today are not the ones chasing every new model release. They are the ones who found the boring, repetitive tasks their teams hate and automated those first.Nir Pochter, Co-Founder and CMO at Lightricks, joins Stephanie Postles on Marketing Trends to break down what AI actually means for creative workflows and why most teams are still using it wrong.You'll learn:- The "algebra problem" of AI adoption- How to save your design team 80% of their time- Why the gap between marketers who use AI well and those who don't is widening fast.- How to use an LLM scoring system to pre-review documents for you- The dangerous trend of "AI Marketer" job titles- What's really in store for the future of video+AI Key Moments:00:00 — Why AI Hasn't Improved Creative Output Yet02:06 — The Algebra Problem: Tools vs. Knowing How to Use Them07:27 — Nir's Background: AI PhD to Lightricks and FaceTune09:46 — What Used to Take Weeks Now Takes Minutes13:35 — Why Automating Everything Failed Miserably16:38 — Start with What People Hate Doing20:08 — The LLM Scoring System: Nothing Gets Reviewed Without an 8521:43 — Train Your LLM to Be Mean, Not Nice23:32 — Building Custom GPTs with Company Guidelines26:30 — The Pitfall: Using AI to Please Leadership28:47 — From Toys to Tools: Why Text-to-Video Isn't Enough31:05 — Coca-Cola's 70,000 Prompts (Was It Worth It?)34:41 — AI Won't Replace Creatives, But This Will37:04 — The Two Critical Skills: Prompting and Curation37:55 — How AI Multiplies the Skills Gap (7 vs 10 Example)42:47 — What CMOs Should Be Asking Their Teams46:20 — Why "AI Marketer" Is LinkedIn Fluff This episode is brought to you by Lightricks. LTX is the all-in-one creative suite for AI-driven video production; built by Lightricks to take you from idea to final 4K render in one streamlined workspace.Powered by LTX-2, our next-generation creative engine, LTX lets you move faster, collaborate seamlessly, and deliver studio-quality results without compromise. Try it today at ltx.studio Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
IBF On Demand sponsored by Arkieva, your one-plan S&OP software. Learn more about Arkieva's innovative approach to forecasting here httpbit.lybusiness-forecasting In this bold episode, I deliver a powerful warning that every planner, forecaster, and supply chain professional needs to hear. This isn't anti-AI. But there are things we are doing wrong and the ugly side of AI misuse every day. We've glamorized LLMs, prompt engineering, and automated insights, yet many are unknowingly trading clarity for convenience, and intelligence for illusion. What you think is making you faster and sound smarter is exposing you and maybe making things worse.Support the showTo sign up for regular updates and the latest research, events, articles, podcasts and more from the Institute of Business Forecasting & Training, visit www.ibf.org
Alex Salazar is the CEO and Co-Founder of Arcade.dev, working on secure AI agents and real-world automation integrations.Chiara Caratelli is a Data Scientist at Prosus Group, working on AI agents, web automation, and evaluation of robust multimodal models.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractAgents sound smart until millions of users show up. A real talk on tools, UX, and why autonomy is overrated.// BioChiara CaratelliChiara is a Data Scientist at Prosus, where she develops AI-driven solutions with a focus on AI agents, multimodal models, and new user experiences. With a PhD in Computational Science and a background in machine learning engineering and data science, she has worked on deploying AI-powered applications at scale, collaborating with Prosus portfolio companies to drive real-world impact.Beyond her work at Prosus, she enjoys experimenting with generative AI and art. She is also an avid climber and book reader, always eager to explore new ideas and share knowledge with the AI and ML community.Alex SalazarAlex is the CEO and co-founder of Arcade.dev, the unified agent action platform that makes AI agents production-ready. Previously, Salazar co-founded Stormpath, the first authentication API for developers, which was acquired by Okta. At Okta, he led developer products, accounting for 25% of total bookings, and launched a new auth-centric proxy server product that reached $9M in revenue within a year. He also managed Okta's network of over 7,000 auth integrations. Alex holds a computer science degree from Georgia Tech and an MBA from Stanford University.// Related LinksWebsite: https://www.prosus.com/Website: https://www.arcade.dev/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Alex on LinkedIn: /alexsalazar/Connect with Chiara on LinkedIn: /chiara-caratelli/Timestamps:[00:00] Intro[00:15] Insights from iFood[06:22] API vs agent intention[09:45] Tool definition clarity[15:37] Preemptive context loading[27:50] Contextualizing agent data[33:27] Prompt bloat in payments[41:33] Agent building evolution[50:09] Agent program scalability[55:29] Why multi-agent is a dead end[56:17] Wrap up
در این اپیزود تحلیلی و آموزنده از مدرسه زندگی فارسی، با استفاده از بهانهای بهنام هوش مصنوعی، به یکی از مهمترین مهارتهای فراموششدهی زندگی میپردازیم: توانایی دقیق خواستن و بیان جزئیات خواستهها. مهارتی که در قالب "پرامپت نویسی" در دنیای امروز، هم در کار با هوش مصنوعی و هم در ارتباطات انسانی نقش حیاتی دارد.در این ویدیو میآموزیم:چرا ذهن ما اغلب توانایی تجسم جزئیات خواستهها را ندارد؟چگونه کودکی، تجربههای عاطفی و فرهنگ ما، زبان خواستن را شکل میدهد؟چرا اغلب در بیان اهداف و خواستههایمان دچار تعارف و لکنت میشویم؟چگونه با تمرین و شناخت دقیقتر واژهها، ایدههایمان را به واقعیت تبدیل کنیم؟چیستی و اهمیت «مهندسی دستور» یا Prompt Engineering در هوش مصنوعی و زندگی واقعیچرا خجالت یا پرتوقع بودن، مانع تحقق اهداف ما میشود؟چگونه بازخورد (فیدبک) از هوش مصنوعی و دیگران، میتواند ما را به بازنویسی مسیر هدایت کند؟این ویدیو تلاشیست برای ایجاد یک نگاه جدید به هنر خواستن، هنر توصیف، و مهارت ساختن ایده در دنیایی که دیگر ابزارها آمادهاند، ولی واژهها و نیتها هنوز شکل نگرفتهاند.لینک ویدیوی انگلیسی:https://youtu.be/7Z1XanIyUEA#پرامپت_نویسی #هوش_مصنوعی #توسعه_فردی #مهارتهای_زندگی #مدرسه_زندگی_فارسی #PromptEngineering #AIcommunication #خودسازی #کلمات_دقیق #فلسفه_هوش_مصنوعی #زندگی_آگاهانه #گفتگو_موثر #مهارت_خواستن #AIthinking #درک_عمیق #پادکست #مرور_کتاب#کتاب_صوتی #ایمان_فانی #مدرسه_زندگی_فارسی #تحلیل #مطالعات_میان_رشتهای #podcast #interdisciplinary_Studies #iman_fani #persian_school_of_life لینک حمایت مالی:https://hamibash.com/schoolخرید دورههای آموزشی در خارج از کشور:https://imanfani.thinkific.comخرید دورههای آموزشی در ایران:https://b2n.ir/a19688https://imanfani.comhttps://instagram.com/dr_iman_fanihttps://telegram.me/dr_iman_faniلینک ویدیوی انگلیسی و کانال یوتیوب ورد ولکانhttp://www.youtube.com/@WordVulcanPress Hosted on Acast. See acast.com/privacy for more information.
What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit
What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit
What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit
What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit
What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit
Many market research, UX, and CX teams now use AI for brainstorming, writing, and various research tasks. But it's not always easy, especially when using AI to help researchers craft surveys and discussion guides. The recurring issue isn't effort—it's uneven quality from ad hoc prompting. In "Prompt Engineering for Researchers," host Kathryn Korostoff demonstrates two structured approaches that keep rigor intact while reducing rework. First, Prompt Chaining: design the deliverable step by step—structure before content—using short review loops to tune timing, probes, and flow. Second, Reflexion (with an "X"): asking the AI to critique its own draft for bias, confusion, or sequencing and to document changes. Example: "Review this guide and revise any questions that may be leading, biased, or confusing. Then list the changes you made and why you made them." And it will! Check out this episode for examples of using effective AI prompting for qualitative and quantitative researchers. #MarketResearch #QualitativeResearch #UXResearch #CXResearch #SurveyDesign #AIforResearch Conversations for Research Rockstars is produced by Research Rockstar Training & Staffing. Our 25+ Market Research eLearning classes are offered on demand and include options to earn Insights Association Certificates. Our Rent-a-Researcher staffing service places qualified, fully vetted market research experts, covering temporary needs due to project and resource fluctuations. We believe it: Inside every market researcher is a Research Rockstar! Hope you enjoy this episode of Conversations for Research Rockstars. Research Rockstar | Facebook | LinkedIn | 877-Rocks10 ext 703 for Support, 701 for Sales Info@ResearchRockstar.com
Too many business owners are trying to use AI as a shortcut to fire people instead of using it to multiply the output of their best people. And that mindset is killing their growth. Matt Leitz has been building automation systems for 7- and 8-figure companies long before AI went mainstream. He's seen inside the machines powering 9-figure brands… and the truth is simple: automation isn't optional anymore. If you want to scale, you need a business that compounds output without requiring more of your time. Matt breaks down how to use AI as leverage — not as a crutch. He shares where founders get stuck, which systems create the highest ROI, how to turn funnels profitable even when ads lose money on day one, and how to build automations that drive revenue for years. If you've been trying to figure out how to integrate AI without breaking your business, this conversation will completely reset your framework. Key Takeaways 00:00 Intro 01:36 You're Thinking About AI All Wrong 02:54 AI Agents and Chatbots 05:24 Start With Strategy, Not Technology 08:09 Why You Shouldn't Automate Reporting 11:22 Prompt Engineering is Easier Than You Think 16:04 How To Build & Leverage Custom GPTs 20:41 Collaborating With AI For Better Results 27:10 AI Tool that Boosts Sales Rep Performance 30:06 Why Tool-Hopping Slows Your Growth 31:50 Why Automation Is Required To Scale Big 35:35 Are Traditional Marketing Funnels Dead? 41:03 When to Focus ON or IN the Business 45:42 The Real Path To Scaling Ad Spend 54:03 Lead Offers vs. Maximizer Offers 01:02:06 Protecting Your Time Above Everything Else Watch on YouTube: https://youtu.be/F96ncjHK8jI Let's Connect: Website | Instagram | YouTube | TikTok | Twitter | Facebook
Text us your thoughts on the episode or the show!In this episode of OpsCast, hosted by Michael Hartmann and powered by MarketingOps.com, we are joined by Spencer Tahil, Founder and Chief Growth Officer at Growth Alliance. Spencer helps organizations design AI and automation workflows that enhance go-to-market efficiency, streamline revenue operations, and strengthen marketing performance.The discussion focuses on how to move from experimentation to execution with AI. Spencer shares his systems-driven approach to identifying automation opportunities, prioritizing high-impact workflows, and building sustainable frameworks that improve strategic thinking rather than replace it.In this episode, you will learn:How to identify and prioritize tasks for automation using a value versus frequency modelThe biggest mistakes teams make when integrating AI into their workflowsHow AI can strengthen strategic decision-making instead of replacing peoplePractical prompting frameworks for achieving accurate and useful resultsThis episode is ideal for marketing operations, RevOps, and growth professionals who want to turn AI experimentation into measurable, scalable execution.Episode Brought to You By MO Pros The #1 Community for Marketing Operations Professionals Ops Cast is brought to you in partnership with Emmie Co, an incredible group of consultants leading the top brands in all things Marketing Operations. Check the mount at Emmieco.comSupport the show
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.
-------------------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
- 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
- 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
- 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
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