Podcasts about prompting

I will teach you how to turn your last 90 days of chats into a custom prompting guide built just for you. Here is the link to the companion Substack blog post with all of the copy and paste prompts: https://tinyurl.com/Companion-Ep3-Prompt-Guide My full collection of growth hacks, playbooks, and meta prompts lives on my Substack at: https://ClaudeGenius.com

Marty Cagan joins Carmen Palmer for this episode in our monthly series, In The Lead. Marty is a renowned product executive and author, and is widely considered a thought leader in the field of Product Management. He is the founder of the Silicon Valley Product Group (SVPG), where he advises companies on how to create successful products using the practices of world-class tech organizations. Marty is the author of influential books on the topic of product management and product teams including Inspired: How to Create Tech Products Customers Love Empowered: Ordinary People, Extraordinary Products.Transformed: Moving to the Product Operating Model Recently Marty and the team at Silicon Valley Product Group (SVPG) have been exploring the use of AI LLMs as product coaches. As always Marty has strong views on the adoption of AI technology enabling true product builders, the increasing importance of true empowered product managers, and how AI Models can assist in the transition by coaching PMs and Product Leaders..In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product. Your AI Product Coach00:00 Reckoning for Product03:11 GenAI Changes the Stakes07:11 Feature vs Empowered Teams09:57 Build to Learn vs Earn12:18 Prototyping Tools Boom13:37 New PM Litmus Test16:05 Why Coaching Fails20:57 AI Coaching Tipping Point23:58 Prompting for Product Model27:30 Load Strategic Context28:19 Strategic Context Inputs29:23 Project Model Prompts30:52 AI Coaching Limits34:58 Why Humans Still Matter38:42 What Coaching Looks Like39:25 Building Product Sense Fast42:01 Frameworks For Real Work45:23 Adoption Curve Reality49:13 Career Advice And Wrap

Anas Instagram : https://www.instagram.com/zssnasMiloud Instagram : https://www.instagram.com/miloudbelarebiaChapters:00:00:00 - مقدمة الحلقة والترحيب بالضيف ميلود 00:02:42 - قصة الضيف مع اللغة الإنجليزية وفضل الأستاذ (الأب) 00:05:01 - ذكريات ولاد القليعة وكيفاش البيئة كتأثر على النجاح 00:07:25 - بداية الرحلة في فرنسا والتخصص في الرياضيات والذكاء الاصطناعي 00:12:40 - شنو هو الذكاء الاصطناعي (AI) واش حنا دابا في مرحلة الـ AGI؟ 00:16:26 - تطور ChatGPT وكيفاش تبدلات علاقتنا بالذكاء الاصطناعي 00:20:25 - واش الذكاء الاصطناعي كيغبي بنادم وكيقتل التفكير النقدي؟ 00:24:06 - مستقبل الديفلوبمون (Development) واش الـ AI غياخد بلاصة المبرمجين؟ 00:30:38 - نصائح للطلبة: واش باقي ما يدار في مجال الـ IT والديف؟ 00:33:24 - كيفاش تخدم بروفيلك باش تساير سوق الشغل في 2026 00:36:47 - الفرق بين الـ AI والماشين لورنين (Machine Learning) والديب لورنين 00:44:03 - شرح الـ LLMs، التوكنز (Tokens)، وكيفاش الموديل كيتوقع الكلمات 00:56:01 - مقارنة بين ChatGPT، Claude، وGemini: شكون الأحسن؟ 00:58:24 - علاش الموديلات كيغلطو (Hallucination) وكيفاش تتعامل معهم؟ 01:02:14 - أسرار البرومبتينغ (Prompting) وكيفاش تخرج أحسن نتيجة من الموديل 01:06:05 - كيفاش تحمي بياناتك الحساسة وتخدم بالموديلات لوكال (Local) 01:13:21 - تحليل داتا العيد الكبير: واش كاين خصاص بصح في الحوالة؟ 01:20:00 - علاش الحولي غالي؟ (مفارقة العام زين وسيكولوجية الكساب) 01:31:00 - تأثير الثقافة والشناقة على أثمنة الأضاحي في المغرب 01:37:25 - كيفاش ميلود استعمل الداتا باش ياخد الجنسية الفرنسية دغيا 01:45:51 - خاتمة ونصائح للطلبة والشباب بخصوص القراية والمستقبل*******************************************************************Follow WLEP on IG: https://www.instagram.com/wladlhajexperienceListen on Spotify: https://spoti.fi/3w1beaGI stream on Kick: https://kick.com/wladlhajexperienceI stream on Twitch : https://www.twitch.tv/anasokaaJoin our community on Discord: https://discord.gg/XTVf8cCnSy#بودكاست #podcast #maroc #المغرب

Send us Fan MailArtificial Intelligence is changing faster than most of us can keep up with—and whether you love it or hate it, it's already starting to impact the welding and fabrication industry.In this episode, I sit down with Dan Cocks from DC Built to talk about how we're actually using AI in our businesses today. From creating customer renderings and speeding up design work to building software, solving problems, and automating repetitive tasks, we share the tools and workflows that are helping us get more done with less effort.But the conversation doesn't stop there.We dive into the future of fabrication and discuss what happens when AI starts working alongside robotics, cobots, laser welders, CNC equipment, and automated material handling systems. Could a small shop one day have the output of a much larger company? How close are we really to that becoming reality?Whether you're already experimenting with AI or you're still trying to figure out what all the hype is about, this episode will give you a practical look at where the technology is today—and where it's headed next.Topics we cover:• Using AI to create customer renderings and concepts• Chat GPT, Claude, and other AI tools• Prompting techniques that get better results• Building software and automations with AI• AI agents and workflow automation• The future of robotic welding and fabrication• How AI could impact small welding businesses• Why technology is becoming more accessible than everIf you're a welding business owner, fabricator, shop manager, or anyone interested in where the trades are headed, this is a conversation you won't want to miss.#WeldingBusinessOwnersPodcast #WeldingBusiness #Fabrication #ArtificialIntelligence #AI #ChatGPT #WeldingShop #Manufacturing #Automation #Robotics #SmallBusinessSeptember 11th and 12th. www.WeldingBusinessSummit.comwww.FabricatorOlympics.com

Most people don't get the best results from AI because they're asking the wrong way.Discover the art of AI prompting and learn how better prompts can unlock more accurate, creative, and useful responses from tools like ChatGPT and other AI assistants.Whether you're a content creator, entrepreneur, student, podcaster, or business owner, mastering AI prompts can save you time and help you achieve better outcomes.Watch now and start getting smarter answers from AI today!Marketing with Russ...aka #RussSelfie, Episode 623Featuring Sha SparksWatch here: https://www.youtube.com/watch?v=FnJuEDxHclw

AI can generate an answer in seconds. The harder question is whether it is the right answer to the right question, and what you actually do with it.In this episode, Kate Megaw, Anu Smalley, and Ryan Smith dig into what “human in the loop” really means, and why so many AI transformations are failing. Forbes puts enterprise generative AI failure near 95%, and RAND says more than 80% of AI projects miss. The pattern echoes the early Agile years: chasing a shiny tool without knowing what problem it solves.AI sees the data. Humans see the story behind it. The human brings context, ethics, and judgment, and stays the ethical guardian who catches the hallucination and the answer that is right for the wrong reasons.In this episode, we discuss:The human algorithm - turning AI outputs into real outcomes through context, ethics, and judgmentWhy AI sees the data but only humans see the story behind itAnu's five workflow principles for human-led AI, including protecting the retro and naming a human decision owner for every recommendationWhy so many AI transformations fail, and how it mirrors the early Agile yearsAI-enabled vs. AI-native organizations, and why native winsUsing AI as a tool versus trusting it to run the businessChoosing the right tool for the job instead of defaulting to one model for everythingThe ethical guardian role - catching not just what AI gets wrong, but what it gets right for the wrong reasonsKnowing when to trust AI, when to challenge it, and when to override it Just because AI can do something does not mean it should. That is where humans come in. We are not using AI to replace thinking. We are creating more space for higher quality thinking for the human in the loop.Referenced in this episode: the documentary How I Became an Apocalyptimist (Daniel Rohrer), the Conan O'Brien podcast on how tools change but the task doesn't, the New York Times feature on Box adding AI roles, and the AI-native shift discussed at the Miro Canvas conference.

In dieser Folge trifft EduFunk den Englisch- und Spanischlehrer, Autor, Referenten und Fortbildner Julian Rechlin. Gemeinsam sprechen Anna und Björn mit ihm darüber, wie Künstliche Intelligenz den Fremdsprachenunterricht verändert – und wo sie ganz bewusst nicht eingesetzt werden sollte.Es geht um KI-Feedback, Tools wie Fellow Fish, KI als Tutor, Prompting im Unterricht, lernförderliche Nutzung durch Schüler:innen und die Frage, warum Lehrkräfte trotz aller technischen Möglichkeiten nicht ersetzbar sind. Besonders spannend: Julian berichtet von einer eigenen Untersuchung zum Vergleich von KI-Feedback und Lehrerfeedback – mit überraschenden Ergebnissen zur Motivation der Lernenden.Außerdem diskutieren wir, warum mündliche Kommunikationsprüfungen gerade im Zeitalter von KI besonders wertvoll sind, weshalb „Skill Skipping“ gefährlich werden kann und warum Schule klare Regeln für den Einsatz von KI braucht.Eine Folge für alle, die KI im Englischunterricht nicht nur als Abkürzung, sondern als Chance für mehr Feedback, Reflexion und echte Sprachproduktion verstehen wollen. weiterführende Links:Julians HomepageSocial Media:

Youtube Channels:Conner with Honor - real estateHome Muscle - fat torchingFrom first responder to real estate expert, Connor with Honor brings honesty and integrity to your Santa Clarita home buying or selling journey. Subscribe to my YouTube channel for valuable tips, local market trends, and a glimpse into the Santa Clarita lifestyle.Dive into Real Estate with Connor with Honor:Santa Clarita's Trusted Realtor & Fitness EnthusiastReal Estate:Buying or selling in Santa Clarita? Connor with Honor, your local expert with over 2 decades of experience, guides you seamlessly through the process. Subscribe to his YouTube channel for insider market updates, expert advice, and a peek into the vibrant Santa Clarita lifestyle.Fitness:Ready to unlock your fitness potential? Join Connor's YouTube journey for inspiring workouts, healthy recipes, and motivational tips. Remember, a strong body fuels a strong mind and a successful life!Podcast:Dig deeper with Connor's podcast! Hear insightful interviews with industry experts, inspiring success stories, and targeted real estate advice specific to Santa Clarita.

Puntata trailer. Trovate quella completa per i membri su caffe20.it/membri con titolo: SOLO PRO Prompting e AI - dalla gentilezza alla comprensione delle…

Beim Keyword-Tracking bekommst du tausende Begriffe für ein paar Euro im Monat. Beim Prompt-Tracking sind nach 25 Prompts schon mal 100 Euro weg. Und das Schlimmste: Du weißt nicht einmal, ob es die richtigen Prompts sind. Genau hier fängt das Problem an. Prompts sind lang, individuell und in ihren Variationen quasi unendlich. Es gibt kein Suchvolumen und keine Datenbank, die dir sagt, wie oft etwas wirklich gefragt wird. Wenn du dir von deinem Tool Prompts vorschlagen lässt, kommt oft Wording heraus, das so nie ein Mensch eintippt. Wir sprechen darüber, wie wir trotzdem zu einem Set kommen, das man bezahlen kann und das aussagekräftig bleibt. Dazu zeigen wir am Beispiel eines Shops für vegane Sneaker, wie sich ein Prompt-Set Kategorie für Kategorie aufbauen lässt, und warum gerade die spezifischen Prompts die wertvollsten für dich sind. ▶️ Warum „die effektivsten WordPress-Wartungsdienste" niemand so eintippt ▶️ Was Stellvertreter-Tracking ist und warum fünf bis zehn Prompts pro Thema reichen ▶️ Wo du bessere Prompts findest als in jedem Tool ▶️ Warum Google AI Overviews ein anderes Prompting brauchen als ChatGPT und Perplexity ▶️ Die Prompt-Kategorien von generisch bis Eigenschaften, durchgespielt an veganen Sneakern ▶️ Warum mehr Prompts dir am Ende nicht mehr Erkenntnis bringen

In this episode, Dan and Lauren are back for Season 12 of The Leadership Educator Podcast. Before diving into the season, they catch listeners up on where they have been since May 2025 — what they have been working on, what they have published, and what is ahead. This season focuses on specific instructional strategies leadership educators use to facilitate learning across curricular and co-curricular spaces. Guests will discuss strategies such as reflection, community-engaged learning, teaching with film and media, team building, AI, and more. Updates and resources mentioned in this episode include: ----more---- Moving the Needle: What We Know and Don't Know About Developing Leaders – Rosch, Allen, & Jenkins (Emerald, 2025) Journal of Leadership Studies Special Symposia Issue on AI & Leadership (Vol. 18, No. 4) Jenkins, D. M., & Khanna, G. (2025). AI-Enhanced Training, Education, & Development: Exploration and Insights Into Generative AI's Role in Leadership Learning. Journal of Leadership Studies, 18(4). Jenkins, D. M., Cleverley-Thompson, S., Erikson, D., Blankenbaker, A., & Brown-Saracino, B. (2025). Prompting for Meaning: Exploring Generative AI Tools for Qualitative Data Analysis in Leadership Research. Journal of Leadership Studies, 19(3), 1–12. — grew out of The Power of Storytelling in Leadership Education with Dr. Shannon Cleverley-Thompson Devies, B., Bullock, L., Jenkins, D. M., Allen, S. J., & Stanberry, J. (2025). Sound Leadership: Harnessing the Power of Podcasts in Leadership Development. New Directions for Student Leadership. Bullock, L., & Jenkins, D. M. (2025). Coaching the next team: Mastering teaching, fundamentals, time management, and goal setting in youth sports. In E. Buschlen & A. DiOrio (Eds.), The Coach's Playbook: Becoming a Transformational Coach and Leader (Chap. 14). ICPEL Publishing. Bullock, L., & Jenkins, D. M. (in press). Generative leadership in the classroom for women and girls. In T. Swed & S. Wamble-King (Eds.), Global Generative Leadership: Lessons from Women's Leadership to Sustain Our Future. Emerald. Leaders in the Loop Podcast – supported by an ALE mini-grant ILA AI Summit – May 6–7, available on demand 8th Leadership Education Academy (LEA 2025) – ILA Association of Leadership Educators 2026 Conference – Philadelphia – registration open AiM Higher Delaware Conference Journal of Leadership Studies – Call for Editor-in-Chief Applications – deadline July 30 Service Learning in a Pandemic with Dr. Tara Coste – referenced in connection with Dan's South Africa Study Abroad program

If ChatGPT is still the only AI tool you're using, this episode will help you take the next step. In this episode of The Online Course Show, I'm sharing the AI tools I'm actually using in 2026. Not a giant list of random apps. Just the ones that are saving me time and changing how I work. I talk about why I've been using Claude as my daily driver AI, how to get better results with simple prompting habits, why “do research” is one of my favorite phrases to add to a prompt, and how Wispr Flow has made it much easier to give AI the context it needs. I also walk through Claude Cowork, how I use Rocky in my own business, why Pikzels has become part of my YouTube workflow, and why Claude Code is worth trying even if you don't think of yourself as a coder. If AI feels overwhelming, don't try to learn everything at once. Pick one tool. Try one workflow. Build from there. IN THIS EPISODE • Why ChatGPT is only the beginning • Why I'm using Claude as my main AI tool • How to use “do research” to get better answers • Why AI can sound confident and still be wrong • How to use ELI5 prompts • How to make AI review your work from your audience's perspective • Why Wispr Flow makes prompting faster • What Claude Cowork does • How Pikzels helps with YouTube thumbnails • Why Claude Code is useful beyond coding CHAPTERS 00:00 Why ChatGPT is only the beginning 01:57 Claude as my daily driver AI 05:42 Prompting tips that make AI more useful 08:54 A simple demo of AI guessing confidently 11:15 ELI5 and audience-review prompts 15:45 Wispr Flow and voice-first prompting 19:24 Claude Cowork and AI agents 22:36 Pikzels for YouTube thumbnails 25:30 Claude Code for apps and bigger projects 29:15 Where to start if AI feels overwhelming LINKS AND RESOURCES Claude: https://claude.com/download Wispr Flow: https://wisprflow.ai/r?JACQUES92 Pikzels: https://pikzels.com/?via=jacques63 Watch on YouTube: https://youtu.be/AzQiZEiQF-8 Get your Personalized AI Game Plan: https://jacqueshopkins.com/ai-start Some links may be affiliate links, which means I may earn a commission at no extra cost to you.

What do you do when the assessment sheet says "Did Not Attain"? In this episode of First Chair, host George Thomas talks with PSIA-AASI National Team member Lyndsey Stevens about her journey through the assessment process. Lyndsey opens up about failing her trainer assessment three times before finally succeeding on her fourth attempt. She explains how those setbacks weren't just hurdles, but essential learning moments that shaped her into the high-level educator she is today. Lyndsey dives into the difference between "passively declining" and "actively seeking" feedback, and why moving from the question of "Why did I fail?" to "What do I do to succeed?" is a total game changer. We discuss the importance of "Follow-up Culture," how to be a better receiver of feedback, and why examiners often enjoy being mentors more than they enjoy being proctors. Whether you are preparing for your Level I or eyeing a spot on the National Team, this conversation offers a roadmap for turning a "check-box" failure into a long-term professional victory. In this episode, we discuss: The emotional weight of seeing "Did Not Attain" on an assessment sheet. Reframing the past: Moving your focus from "Why" to "What." How to bridge the gap between being "at the standard" and proving it during an exam. The "Follow-up Culture": Prompting trainers with specific goals to get better data. Why being a good receiver of feedback is a skill that must be practiced. Read Lyndsey's full article in the Winter 2026 issue of 32 Degrees magazine.

(7) Josiah Osgood describes the Civil War's onset as Caesar crossed the Rubicon, prompting Pompey and Cato to evacuate Italy for the East. Caesar utilized a strategy of clemency and maintained iron discipline, even executing mutineers in the Ninth Legion. After Pompey was defeated at Pharsalus and murdered in Egypt, Cato led the Republican remnant to Utica. Following Caesar's final victory in Africa, Cato refused to beg for mercy, choosing a graphic suicide to deny Caesar a political triumph. His death transformed him into a martyr, marring Caesar's victory and the future imperial regime.CLAUDIS BEGS FOR HIS LIFE

Kelly talks with Philip Guo, creator of Python Tutor, about how the tool helps students trace code and understand programming basics. They also discuss the challenges AI-generated code creates in the classroom and possible ways to support student learning. *Wins of the Week * Philip: Hiring a second undergraduate student for Python Tutor, including one focused on user experience research with K-12 teachers Kelly: Finishing a year of in-person teacher trainings and reflecting on how far the teachers have come *AI, Coding, and Classroom Understanding * Much of the conversation focuses on how AI-generated code affects student learning. Kelly describes using AI code with eighth graders and how difficult it can be for them to understand functions, parameters, returns, and other fundamentals when the code is generated all at once. Philip suggests that tools like Python Tutor may be useful for helping students trace code and understand what is happening behind the scenes. Python Tutor and Possible AI Features Philip explains that Python Tutor currently visualizes execution and has an AI chat feature that can answer questions about code and errors. They discuss possible future features, including simplified AI-generated examples, alternative execution views that show only the lines actually run, and more guided inline help tied to specific code or variables. Oral Explanations and Assessment Kelly describes using a Socratic-style code review with students, where they discuss code aloud in groups. They also talk about using spoken explanations or short oral assessments to check whether students can really explain what code is doing, rather than just copying or prompting AI-generated answers. Broader Research and “Beyond the Desk” Philip briefly discusses a new research direction with a PhD student focused on AI support for work beyond the desk, including physical and embodied tasks in science labs and fieldwork. He says this differs from desk-based AI work and involves activities that are harder for current AI systems to support. **Chapters **0:25 Python Tutor and AI Learning 1:55 Hiring Help for Python Tutor 4:07 Classroom Wins and AI Reflections 6:11 Teaching Code Through Python Tutor 9:03 AI Code and Student Confusion 14:11 Simplifying Execution Traces 17:19 Functions Are the Hard Part 20:25 Keeping Fundamentals in AI Era 24:25 Socratic Seminars for Code 26:27 Voice-Based Code Thinking 29:27 Learning Beyond Lockdown 36:10 Prompting as a New Skill 36:25 Hardware Troubles and NeoPixels 40:15 Beyond the Code Editor 45:01 New Research on Embodied AI 49:12 PyCon and Community Plans 50:42 Teacher Call to ActionSpecial Guest: Philip Guo.

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.

Du würdest deiner besten Mitarbeiterin nicht jeden Morgen ihren Job erklären. Bei Claude machst du das jeden Tag. Ruben Hassid sagt es klar: Prompting ist die schlechteste Art, Claude zu nutzen. In dieser Folge erklärt Kai, warum jede Führungskraft, die täglich von vorne mit der KI anfängt, einen Anfängerfehler aus dem Personalbereich begeht. Und wie der Ausweg aussieht. Das Stichwort heißt Skills. Skills sind Anleitungen, die du Claude einmal richtig schreibst und die er sich merkt. Beim nächsten Mal sagst du nur noch: mach das nochmal. Es ist Onboarding für die Maschine. Plus die konkrete Übung für diese Woche und ein Blick darauf, wie aus Skills und einem persönlichen Profil ein Coach wird, der nur eine einzige Person kennt. Was du in dieser Folge mitnimmst Warum du gerade jeden Tag den gleichen Fehler mit deiner KI machst, den du bei einem neuen Teammitglied niemals machen würdest Was Skills sind, ohne Tech-Vokabular Wie Onboarding für die Maschine in der Praxis aussieht Eine Übung mit einer einzigen Aufgabe, die du diese Woche zum ersten Skill machst Ein erster Blick darauf, was passiert, wenn dein gesamtes Coaching-Wissen plus dein persönliches Profil im System steckt Die Übung “Dein erster Skill” Such dir eine Aufgabe, die du Claude in der letzten Woche dreimal erklärt hast. Nur eine. Schreib auf einer Seite zusammen, was du jedes Mal sagst. Wie du arbeitest. Was du nicht magst. Welchen Ton du hast. Welche Wörter du nie verwendest. Lade das in Claude hoch. Als Projekt oder als Skill, je nachdem wie du arbeitest. Beim nächsten Mal sagst du nur noch: mach das nochmal.Nach zwei Wochen arbeitest du doppelt so schnell. Aber das ist nicht der Punkt. Der Punkt ist, du hast aufgehört, der Maschine zu erklären. Du hast angefangen, sie zu führen. 0€ Online Training Im nächsten 0€ Webinar zeige ich dir, wie das auf Programmebene funktioniert. Wie ich sechs Monate gebraucht habe, um mein Leadership Programm Skill für Skill aufzubauen. Wie das persönliche Profil der Teilnehmenden mit jedem Skill verbunden wird. Und warum die Teilnehmenden dazu sagen, das sei wie Gentechnik. https://online-training.mitarbeiterfuehren.com/kairos

Preview for Later Today: Bob Zimmerman explains recurring leaks in the Zvezda module of the International Space Station. These stress-related cracks could lead to catastrophic failure, prompting NASA to secure the American section during docking operations.

Richard Falbr, 1990s union leader and politician, dies at 85, Child dies of diphtheria in Czechia, prompting renewed warning against delaying vaccines, Klánovice Forest: Prague's largest woodland with a dark past and peaceful present

Richard Falbr, 1990s union leader and politician, dies at 85, Child dies of diphtheria in Czechia, prompting renewed warning against delaying vaccines, Klánovice Forest: Prague's largest woodland with a dark past and peaceful present

Want better AI results? The answer isn't to prompt better. (At least, not anymore.) As AI has changed drastically, so too must your company's strategy and implementation plan. Section's Bobby Isaacson joins Everyday AI to lay out the roadmap: helping guide organizations from running like hamsters on the AI treadmill to actually redefining workflows toward agentic automation. How Smart Teams Stopped Prompting AI and Started Automating Workflows -- An Everyday AI chat with Jordan Wilson and Section's Bobby IsaacsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Success Metrics in Modern OrganizationsShift from Prompting to Workflow AutomationAdopting Autonomous Agents in EnterprisesImportance of Context Engineering with AITop-Down Leadership for AI TransformationBuilding AI Manifestos vs. AI PoliciesTraining Challenges: Chatbots to Agents EraClosing Skill Gaps: Elite vs. General AI UsersOvercoming Change Management in AI AdoptionFostering Curiosity and Experimentation in AI TeamsTimestamps:00:00 Defining AI success metrics05:19 The shift to context engineering08:16 Leadership setting AI adoption example11:58 CEO commitment to AI integration14:17 Setting clear AI goals19:06 Discussing automation and its challenges20:48 Enterprise AI usage challenges26:00 Leveraging AI for learning27:45 Closing and contact informationKeywords: AI workflow automation, autonomous agents, automating workflows, AI agents, enterprise AI transformation, custom GPTs, prompting AI, context engineering, AI proficiency, AI training, leadership in AI adoption, change management, AI strategy, employee enablement, AI integration, top-down AI approach, organization-wide AI, business process automation, AI-powered briefs, sales automation with AI, agent-based automation, workflow optimization, context sharing, repeatable AI workflows, AI change management strategy, AI use cases, AI in finance, ROI calculator with AI, personalized AI training, skill gap in AI, scaling AI solutions, technology adoption, digital transformation, AI challenges in enterprises, curiosity-driven learning, creative freedom in AI, AI enablement, AI policy vs manifesto, fostering innovation with AI, learning and development AI, AI champions, process innovationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

In this episode of the Red Eye Report, we dive deep into one of the most controversial and scientifically debunked practices in the world of disability care: Facilitated Communication (FC). Marketed as a miraculous breakthrough that gives a voice to the voiceless, FC involves an "aide" guiding the hand of a nonverbal person over a keyboard or letterboard. But what happens when the facilitator is actually the one doing the talking? We break down the devastating double-blind tests, the false accusations that have torn families apart, and the tragic consequences of treating pseudoscience as fact. Grab a drink and strap in. This rabbit hole gets dark.

AI output isn't mysterious; it's measurable. When we prompt like we're chatting, we get content that feels generic and unpredictable. When we prompt like instructional designers, with audience, outcomes, constraints, and a definition of “good,” the same AI tool starts producing drafts you can actually reuse.In this episode, Jackie walks through a simple mindset shift that changes everything: a prompt is a mini design document. From there, we name the three biggest reasons one-off prompts fail (vague goals, missing context, and no quality target) and replace them with three repeatable prompting patterns you can use across onboarding, microlearning, scenario design, job aids, and eLearning outlines. You'll get a clear spec prompt formula for fast first drafts, a critique prompt to evaluate and rewrite with intention, and a variations prompt to create multiple options without starting over.We also turn the patterns into a five-minute “prompt pack” you can keep in a notes app, plus one rule that prevents chaos in your AI workflow: change one thing at a time. Subscribe, share this with a fellow designer, and leave a review so more instructional designers can make AI feel like a skill instead of guesswork.

This edWeb podcast is sponsored by HP AI Teacher Academy 2.0 and hosted by Digital Promise.The webinar recording can be accessed here.What happens when we move beyond using AI as a tool and begin designing with it? This edWeb podcast supports educators in shifting from using AI as a prompting tool to designing intentional, student-centered learning ecosystems that integrate AI in meaningful ways.Listeners:Understand the difference between using AI and designing with AIExplore how AI can support agency, creativity, and deeper learningIdentify the role of the human in the loop when integrating AILearn practical strategies from educators implementing AI-supported learning experiencesThe session begins by framing how teaching and learning transform when educators move beyond isolated AI use toward ecosystem design. A panel of educators share real classroom examples of AI-supported student design challenges, highlighting both successes and ongoing tensions. Discussion focuses on how AI can be leveraged to support inquiry, creativity, and problem solving while maintaining strong human guidance and intentionality.Listeners leave with concrete ideas for integrating AI into their own contexts, a clearer understanding of how to design learning experiences that go beyond prompting, and practical insights from educators actively doing this work. Listeners also gain language and strategies to ensure AI enhances, rather than replaces, human creativity, connection, and decision making.This edWeb podcast is of interest to PreK-12 teachers, librarians, school leaders, district leaders, and education technology leaders.HPEnvision a world where innovation drives extraordinary contributions to humanity.Digital PromiseDigital Promise's mission is to accelerate innovation in education to improve opportunities to learnDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Learn more about viewing live edWeb presentations and on-demand recordings, earning CE certificates, and using accessibility features.

Vitaly, the UX lead with the European Parliament and co-founder of Smashing Magazine, reflects on the messy reality of designing AI products and why UX matters more than ever in the age of artificial intelligence and AI agents. He also explores how and why many companies rush into implementing AI without addressing issues in their processes and systems and discusses the importance of trust, transparency, and guidance in designing AI products.

Here's my live talk at Masters AI Conference in Chicago about why Curation and Taste are Your Superpowers in the AI Age.Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 4 takeaways from this episode:* If you use the same AI tools as everyone else with no customization, you'll sound like everyone else.* Prompting skills matter, but curating what goes into the AI matters more.* NotebookLM lets professionals (especially lawyers) make their knowledge searchable, shareable, and scalable.* Taste isn't optional — it's your differentiator.__________________________Want your question to be answered on a future show? Fill out this short survey.Check out Masters AI.Ask all of your subscription questions for free using this notebook.Get a free 1-on-1 with Mathew Kerbis.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lawsubscribed.com/subscribe

Send us Fan MailA Gluten Free Podcast Episode 235My guest on today's episode is dentist, registered pharmacist and fellow coeliac, Dr Sara Merlino. We'll talk about the dental health issues and symptoms associated with coeliac disease, navigating finding gluten free dental products and medications, how to advocate for yourself at the dentist and dental health tips for those living with coeliac disease. What we'll cover: * Sara's coeliac disease symptoms, dermatitis herpetiformis and eventual diagnosis * Sara's insights from pharmacy and becoming a dentist * Sara realising the lack of awareness and resources around coeliac disease and its connection to our dental health * Sara's unique perspective of coming from a pharmacist, dentist and coeliac * Common dental health symptoms of coeliac disease * Common issues with teeth in children when they have coeliac disease * What questions to ask at a dentist when you're living with coeliac disease * Why mouth ulcers and canker sores happen * Common nutritional deficiencies in coeliac disease * Importance of individualised healthcare * How the tongue is related to our oral microbiome and coeliac disease  * Advice for parents navigating their children's dental health when they live with coeliac disease * Prompting patients to be tested for coeliac disease when seeing dental symptoms * Educating other dentist on the importance of looking for coeliac disease dental health symptoms * How to check with manufacturers if a dental product is gluten free * Sara's advice around fluoride * Final dental healthcare tips for those with coeliac disease * How to find a coeliac-safe dentist * Where Sara would like to see changes in the coeliac disease and gluten free spaceLinks Follow Dr Sara Merlino on Facebook Dr Sara Merlino's guest blog post Coeliac Disease and our skin with dermatologist Ryan De Cruz Gateway Dental Health TGA advice on gluten free productsWho regulates the ingredients in toothpasteTGA advice on dental health productsJoin A Gluten Free Podcast Facebook Group 

AP correspondent Krysta Fauria reports on a new trend involving teens and the Church of Scientology.

Watch the full episode on our YouTube channel: youtube.com/@mreapodcastLauren Lucas is back, and she is bringing the next wave of AI with her.Since her last visit, Lauren has taken 48 flights to teach real estate agents how to use AI in a real way. She is still running a real estate team closing around 300 deals a year, and she is still not a “tech person.” That is what makes this talk so good.We dig into AI agents: what they are, how they work, what they cost, and how we can start using them without getting buried in tech talk. Lauren breaks down how to build one agent for one job, like pulling market data, finding FSBOs and expired listings, drafting content, updating CRM gaps, or helping with tax prep.Lauren also gives us a clear warning. AI can do the work, but we still need to protect client data, guard our passwords, and keep a human in the loop. The real estate agents who learn this now will have a major edge. The real estate agents who ignore it may soon feel like they're trying to work without a cell phone.Start small. Build one AI agent. Give it one clear task. Learn by doing.Resources:Follow Lauren Lucas on Instagram: @laurenlucas_reOrder the Millionaire Real Estate Agent Playbook | Volume 3Connect with Jason:LinkedinProduced by NOVAThis podcast is for general informational purposes only. The views, thoughts, and opinions of the guest represent those of the guest and not  Keller Williams Realty, LLC and its affiliates, and should not be construed as financial, economic, legal, tax, or other advice. This podcast is provided without any warranty, or guarantee of its accuracy, completeness, timeliness, or results from using the information.WARNING! You must comply with the TCPA and any other federal, state or local laws, including for B2B calls and texts. Never call or text a number on any Do Not Call list, and do not use an autodialer or artificial voice or prerecorded messages without proper consent. Contact your attorney to ensure your compliance.Any text or materials generated by artificial intelligence (AI) should be reviewed for accuracy and reliability as there may be errors, omissions, or inaccuracies. The use of generative AI is subject to limitations, including the availability and quality of the training data used to train the AI model used. Users should exercise caution and independently verify any information or output generated by the AI system utilized and should apply their own judgment and critical thinking when interpreting and utilizing the outputs of generative AI.

Kingsway Community Church

In this episode, Jeff Gould sits down with entrepreneur and keynote speaker Joel M. Sylvester, co-owner of Five Star Solutions (a customer experience and business process outsourcing company), for a wide-ranging conversation about AI in the workplace, customer service, and what the next decade of business will demand. Joel breaks down how AI is already being used in real companies—agent assist, speech analytics, sentiment tracking, hiring interviews, translation, and even accent reduction—and why we're still a long way from replacing humans in high-stakes, high-empathy interactions. Jeff push es back with the real question: What happens to critical thinking, human connection, and the parts of life that require effort? You'll also hear: • Why “slow internet” and modern travel complaints are (maybe) “stupid and ridiculous”

Lewis had a plan this week, but the event happening at the WHCD changed up his plans. Prompting him to reflect on his time when he was asked to be a participant in these things a while back. But as we watch things fall apart in real time its important to remember… maybe it was staged? If you are interested in learning more about Marylin Yoshimura's art visit http://www.marylinyoshimura.com For advertising opportunities email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠rantcast@thesyn.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ___________________ TOUR DATES: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.lewisblack.com/tickets⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GET MERCH: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.lewisblack.com/collections⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ____________________ SUBMIT RANTS TO LEWIS Have something you want to get off your chest? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.livelewis.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ _____________________ SUBSCRIBE TO THE RANTCAST ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.lewisblacksrantcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ____________________ FOLLOW LEWIS ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.lewisblack.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/thelewisblack⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.twitter.com/thelewisblack⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/thelewisblack⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/OfficialLewisBlack⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

How often are you asked to upgrade and order, an experience or even a trip you already have booked? Probably quite often. And while those upgrades often come with a cost, we rarely question them once the foundation of a purchase is in place. The same is true at this stage of life. You're not starting over—you've already built years of experience, skills, and resources. But in a world that's rapidly changing with AI and new technology, it can feel like you're being asked to relearn everything. The truth is, you're not behind—you're being invited to upgrade. And today, we're going to talk about what that really looks like as you lead yourself forward with self-leadership into what's next. Full article here: https://GoalsForYourLife.com/reframing-self-leadership Get POWER OF AFTER BOOK HERE: https://amzn.to/3GpEGlJ Make sure you're getting all our podcast updates and articles! Get them here: https://goalsforyourlife.com/newsletter  Resources with tools and guidance for mid-career individuals, professionals & those at the halftime of life seeking growth and fulfillment: http://HalftimeSuccess.com  Chapters 0:00 Intro: Reframing AI as an Upgrade  2:45 Your Foundation of Experience and Skills 5:15 Why You Are Not Behind in the AI World 8:30 Choosing Curiosity Over Resistance 11:45 Taking Ownership of Your Learning Curve 14:30 What AI Can and Cannot Do for You 17:15 Mastering the Art of Prompting 20:00 Progress Over Perfection in Content Creation 22:45 Practical Steps to Start Today 24:55 Conclusion and Resources #AI #SelfLeadership #MidCareer #ProfessionalGrowth #FutureOfWork Ready to take the next step in your mid-career journey? Get resources and subscribe to the channel for weekly insights on purposeful living. ✨

AI is moving fast, but most dentists still don't know what to use, what to ignore, or how to avoid wasting time on tools that don't help the practice. In this episode, Kirk Behrendt sits down with Travis Wentworth, an AI and cybersecurity expert (with a doctorate in chemical engineering and a background in data modeling), to explain how AI has evolved beyond chatbots into practical “coworker” tools and agent-based workflows that can save time in a dental office. You'll learn how to think about AI use cases, how to structure prompts for better outputs, where the real risks are (including hallucinations and overreliance), and how to pick one measurable project to implement without getting overwhelmed—listen to Episode 1037 of The Best Practices Show!Main Takeaways:AI has quickly moved beyond basic chatbot use into tools that can work directly with files, folders, and workflows on your computer.Agent-based AI can connect services (like calendars and email) to automate multi-step tasks that would normally take manual follow-up.Better AI outputs depend on structured, specific inputs, including context like practice values, tone, and desired formats.A major risk is trusting AI outputs without reviewing them, especially when the model can hallucinate details or references.Another risk is getting distracted by too many possibilities instead of completing one scoped, practical project.AI can be used for simple, high-value office tasks like drafting consistent SOP templates and maintenance logs.Tools that record and summarize conversations can help improve consistency and completeness of clinical notes when used responsibly.Snippets:00:00 AI in Dentistry Intro01:08 Meet Travis Wentworth03:18 How Fast AI Is Moving04:43 Beyond Chatbots to Cowork06:41 Agents That Automate Work08:26 Dental Use Cases and Reviews11:57 Prompting and Better Inputs16:14 Dental AI Tools and Notes20:38 Pitfalls and Staying Focused24:31 Adoption Curves and Urgency27:51 Final Advice and Resources30:28 Wrap Up and Next StepsGuest Bio/Guest Resources:Travis Wentworth has been training students in engineering, networking, and cybersecurity for over a decade. He received his PhD in engineering from the University of Kansas in 2015 and completed a Postdoctoral Research fellowship at the University of Chalmers in Gothenburg, Sweden. While there, he was part of the world-renowned research group led by Dr. Louise Olsson and had the privilege to work with the European Union, Swedish Research Council, Volvo, and Chalmers University.As a researcher, instructor, and consultant, Travis has presented his technical content to far-reaching corners of the globe including China, Germany, and Sweden, to name a few. Returning to the United States in 2017, he narrowed his emphasis to cybersecurity and networking training.Travis has a diverse background with a proclivity in the acquisition and analysis of public and proprietary data. He is a published author in numerous peer-reviewed journals for computer modeling and catalysis and is well-versed in programming, networking, data acquisition, and cybersecurity.Resource mentioned:https://www.plaud.ai/More Helpful Links for a Better Practice & a Better Life:The Best Practices Show: https://www.actdental.com/podcast/Best Practices Association: https://www.actdental.com/bpaUpcoming Events & Workshops: https://www.actdental.com/events/Smile Source: https://www.smilesource.com/Subscribe on Apple Podcasts: https://podcasts.apple.comSubscribe on Spotify: https://open.spotify.com

Lori Gonzalez shares how a simple follow-up call became a divine moment to bring hope to a struggling mother. Through compassion, prayer, and obedience, she reveals how God uses everyday opportunities to meet the needs of others and share His love. Be encouraged to let God use you—and watch how He moves. Host Barry Meguiar is a car guy and businessman who hosted the popular TV show, Car Crazy, on Discovery Networks for 18 years. He loves cars, but he loves Jesus even more! Learn more about Barry at IgniteAmerica.com Get your copy of Barry’s book Ignite Your Life: Defeat Fear with Effortless Faith at Amazon, Barnes & Noble, Books-A-Million, and other online booksellers. Learn more about: -        Why obedience matters when sharing the Gospel-        How we can work God into any conversation-        Why 80% of Americans are looking for God-        When we can use humor to share God’s message-        How the Holy Spirit gives us a voiceCheck out Why Share? on IgniteAmerica.com to learn why it is important for every believer to share their faith. Then visit First Steps which provides practical ways to get started in your faith-sharing journey. Sign up to receive emails that will bring you solid faith-sharing tips and powerful inspiration.(00:00) Meeting Needs and Pointing to Jesus(00:43) Lori’s Calling to Share the Gospel(01:02) A Follow-Up Call Becomes Something More(01:39) Hearing a Mother’s Crisis and Heartbreak(02:23) Offering Practical Help in a Time of Need(02:46) Sharing Christ’s Love Face to Face(03:14) Praying with the Woman and Her Children(03:34) Saying Yes to God’s Prompting(04:10) Encouragement to Be Willing and Available  

H.W. Brands recounts how amid the 1940 Battle of Britain, FDR breaks tradition by seeking a third term, prompting Lindbergh to warn of a "presidency for life" as he becomes the star speaker for the newly formed America First Committee. Lindbergh draws massive crowds arguing that America's two oceans ensure security, while FDR masters press conferences to influence media coverage and both sides battle for the soul of the nation. (4)

Most people don't struggle with AI because the tools are weak. They struggle because they feel like they have to be perfectly clear before they type a single word. I'm live from a mobile setup, and I walk through a simple workaround I use all the time: confession prompting. It's exactly what it sounds like. I tell the LLM the truth, that I'm not sure where to start, what I'm trying to achieve, and what's fuzzy in my head, then I ask it to help me shape a plan.You'll hear a real, practical example from my own prep for the show: I'm choosing between calling the technique a “brain dump” or a “confession,” and I ask the AI for pros and cons plus a title that bridges both. That one prompt creates instant momentum and gives me options I can refine. From there we expand into everyday business use cases, like writing marketing emails for blog visitors that feel encouraging instead of salesy, and turning scattered thoughts into clear project instructions you can hand to an employee.We also talk about what happens when you level up from generic prompting to a custom GPT that knows your voice, your products, your services, and your customers. When the model has that context, messy input can turn into content that's clearer, more on-brand, and more usable, like having a “mini you” to help you think. If you're a leader juggling meetings, clients, and constant context switching, this approach can help you get organized fast and show up prepared.If this clicks, subscribe so you don't miss next week, share it with a friend who overthinks prompts, and leave a review with the one task you want AI to help you simplify.Support the show

For years, marketers have been copying and pasting between AI tools, re-explaining themselves to ChatGPT every single session, and manually doing everything an AI was supposedly going to do for them. In this episode, Igor describes what's actually coming next. Not better prompts, not more tools, but a single AI system that already knows you, already has access to everything, and just executes when you say go. The guru advantage is being chopped down, branch by branch. And the only thing left standing will be speed.

Host Jeremy C. Park interviews Eric Jackson, founder and CEO of Element 47, who highlights his Nashville, Tennessee-based creative branding agency that helps clients align their core messaging and grow through effective marketing strategies. Eric explains their three-meeting process that helps organizations discover and articulate their unique value proposition, using the example of how Dew Tinnin from Skillway communicates that they help people "crush their sales goals and love what they do." The conversation then shifts to AI's role in branding and marketing, where Eric discussed the CRIT prompting method (Context, Role, Interview, Task) for getting better responses from large language models like ChatGPT and Claude. Eric shares how Element 47 uses AI to automate repetitive tasks, creating a blog writing system that can produce 500-5,000 word posts in 10 minutes while maintaining brand voice and sourcing accurate information, allowing the team to focus more on strategic client conversations rather than administrative work. Visit https://element47.co to learn more about Element 47 and to connect with Eric Jackson. https://www.linkedin.com/company/element47co/posts/?feedView=all https://www.facebook.com/element47co/  

Marty Cagan joins Carmen Palmer for this episode in our monthly series, In The Lead. Marty is a renowned product executive and author, and is widely considered a thought leader in the field of Product Management. He is the founder of the Silicon Valley Product Group (SVPG), where he advises companies on how to create successful products using the practices of world-class tech organizations. Marty is the author of influential books on the topic of product management and product teams including Inspired: How to Create Tech Products Customers Love Empowered: Ordinary People, Extraordinary Products.Transformed: Moving to the Product Operating Model Recently Marty and the team at Silicon Valley Product Group (SVPG) have been exploring the use of AI LLMs as product coaches. As always Marty has strong views on the adoption of AI technology enabling true product builders, the increasing importance of true empowered product managers, and how AI Models can assist in the transition by coaching PMs and Product Leaders..In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product. Your AI Product Coach00:00 Reckoning for Product03:11 GenAI Changes the Stakes07:11 Feature vs Empowered Teams09:57 Build to Learn vs Earn12:18 Prototyping Tools Boom13:37 New PM Litmus Test16:05 Why Coaching Fails20:57 AI Coaching Tipping Point23:58 Prompting for Product Model27:30 Load Strategic Context28:19 Strategic Context Inputs29:23 Project Model Prompts30:52 AI Coaching Limits34:58 Why Humans Still Matter38:42 What Coaching Looks Like39:25 Building Product Sense Fast42:01 Frameworks For Real Work45:23 Adoption Curve Reality49:13 Career Advice And Wrap

Piyush Jain, Founder and CEO of Simpalm and co-founder of Ducknowl, is on a mission to solve real-world challenges by combining technology and entrepreneurship. With over 15 years of experience building custom software solutions, Piyush helps businesses turn complex ideas into practical applications by blending technical depth, business acumen, and a strong problem-solving mindset. We explore Piyush's AI Ideation Framework—Validate idea, Proof of concept, Design, Competitor analysis, and Feature selection—a practical approach to building software in the post-AI era. Piyush explains how AI can help teams better understand user personas, validate product assumptions, and rapidly prototype ideas, while human expertise remains essential in design, architecture, and production-grade development. He also shares how prompt engineering, peer-reviewed prompting, and a right-shoring delivery model can help businesses build smarter, faster, and more cost-effectively. — 3D Print Your Software with Piyush Jain Good day, dear listeners. Steve Preda here with the Management Blueprint, and my guest today is Piyush Jain, the Founder and CEO of Simpalm, a custom software development company, and the co-founder of Ducknowl, a candidate screening and assessment application business for high-volume recruiting. Piyush, welcome to the show.  Thank you, Steve. Thanks for inviting me.  Well, I’m very curious about the stuff that you have to share with us, and I’d like to ask first about your personal purpose. What is your “why,” and how are you manifesting it in your business?  Yeah, so that’s a very interesting question. And I think for every entrepreneur or tech founder, really, that's the motivation—why you want to do certain things. So for me, if I look at it, my personal “why” is: why are we not solving challenges? Or why are we not solving them the right way? Why are we not transforming our lives? I grew up in India and then came to the US, so I've seen many different parts of the world—from Asia to North America. I see people face different challenges, but then we are not focusing on solving those problems. A lot of it I see is there’s a lot of challenges in the world because I believe there are not enough entrepreneurs. Because entrepreneurs are the ones who really take risks, combine everything, and create solutions. That was like me, right? That’s what I learned growing up, that I think I can do that, right? I can combine the technical knowledge and the business acumen and create solutions that people like, solve their challenges. Growing up, like I'm more on the technical side.Share on X I was inclined more toward science and technology, but then as I got into my undergrad and grad school, I realized that I have that entrepreneurship aspect, but it's still around science and technology. That’s when I realized that, you know what, I cannot be a pure scientist or maybe a pure entrepreneur, but I can be someone who can combine these two, because my main driving factor is problem-solving. I can combine these two and then live my life, be very happy with what I do. That has been my motivation. I like it. So solving challenges and being an entrepreneur, and kind of combining the two—being the technical expert and the entrepreneur in one. Now, one of the things that we always talk about on this podcast is frameworks. And you have developed a really good one for AI ideation, which I think is something that everyone needs to do these days or use these days, and it helps you create business apps and other business applications. Can you share with me how that framework works, and what are the steps in it?  Sure, yeah, definitely. So just to give you a brief background, we've been building software for the last 15 years. Some companies have used different frameworks, whether it's Agile or Waterfall in SDLC, in building the software, right? There are different methodology that companies have used, and they've been good, successful—they've played their role. But now, with the advent of AI, things have changed. We had to figure out, in our organization, how to use AI, and that's how this framework was built. My team helped me building this framework as well.Share on X But we realized that we were losing business—we were losing clients—since we didn't have an AI framework that would fit our clients. Again, for me, it's a challenge. So anytime I see a challenge, it create brain juice in me, right? So I said, okay, let's figure out how we create this framework. How did you do it?  So really, we built this framework—very interesting. A lot of the steps are similar, but then a lot of things are different.Share on X Whenever client comes to us and says, “Hey, we want to solve this challenge,” what we do is we do enough research. And now we use a lot of AI tools to really understand the problem better and understand the user persona. When you build any software application, there is a person who's going to use that. Sometimes we used to do user research or focus studies to understand that. Now, with the help of AI, we can get a lot of ideas about the user persona. For example, maybe we are building a healthcare application for an anesthesiologist. I don’t know much about that. I know, I mean, because I have been through some medical surgery and all that, but I can't fully understand their user persona or their requirements with respect to the application we're building. But now, with AI, I can actually ask different AI models, “Hey, we are building this app for anesthesiologists. What are their pain points? How would they see it?” So all that deeper mindset and psychology we can get using AI.  You are validating the idea by interrogating AI applications.  What users are going to like and all that. So I will always use this term earlier. In software engineering, now we have this pre-AI and post-AI, right? If you read history, we talk about before Christ and after Christ, right? Yeah. So it's a similar thing now. Yeah, exactly. Or before Covid, after Covid. Before AI, after we did all the user research and everything and created a requirements document, we would usually do design, create like a visual design of the software. But now, with the AI framework, we don't do that. That's not the next step. What we do instead is create a quick prototype using AI platforms.Share on X  So there are a lot of AI platforms—like Lovable, Claude. Now ChatGPT launched Codex for coding, and Replit. Depending on what kind of application you're building—for example, maybe if you're building a web-based application—then I recommend using Lovable or Replit. They're very good at creating that. Whatever software you want to build, whatever user personas that you’re addressing, you can feed into that and it’ll create like a prototype application. Okay.  So what that does is actually, then this prototype, clients can just take it to their customers or internal users and get feedback. A picture is better than a thousand words. Organizations discussing an idea is very different from when they actually see something. Then everybody starts chipping in—“Oh yeah, I see this in the prototype, but I don't want this,” or “I want to move things around,” or “This is what I want.” Basically, building a prototype on AI platforms is much faster than building wireframes and design prototypes like we used to do earlier. So that has changed. So you're 3D printing your software, right?  Yes, exactly. There you go. Well, that’s a very good way you put it together. Yeah. So, yeah, exactly. You’re just 3D printing the software, right? So you can see it, visualize it, and then once you go through that, it creates a lot of better ideas about the software in faster time. So once you have that, then you go into UI/UX design. So in that also, there are two steps. One is wireframing. Wireframing is like creating the flow in black and white. It's like creating a skeleton of your software. It does not have the color, the font, or the branding, but you just create all the different user journeys, the screens, the flow, and the fields that will be there on the screen. So we have integrated AI into that step as well. Earlier, it used to be created by a designer or a business analyst. Now we are using software like Uizard or UX Pilot, where we define what we want—what kind of user journey, flows, and screens—and it creates that. It spins out those wireframes in minutes. So really that has reduced now. The time it used to take to create wire frames is faster now.  So you're designing the wireframes with AI?  Yes, but it's just the wireframe part of it, and it's still guided by our expert VA or designer—someone who knows how to really visualize things and has done a lot of wireframes and sketches. So they know what to tell the AI. Prompting is very important. It's very important that you know how to prompt—what to ask for—so that you can get variations and differentiation in the wireframes. You don't want a standard AI-created wireframe. Everybody can recognize AI-generated images now, right? If I show you one, you'd say, “Oh yeah, it's AI-generated.” I know that, right? Yeah. So again, we keep the human intelligence. We're not asking AI to create the full software end-to-end. It never works—it'll never work. It just doesn't. I know that's a strong statement, but I'm saying that based on experience and an understanding of human behavior and psychology. So AI agents will not be able to code software, in your opinion?  No, they can do the coding, but they cannot build the whole software end-to-end—a production-deployed software. Because these software are being used by humans. You have to have human intelligence to understand and define what you need and how it works.Share on X You can maybe create some software, but it doesn't work very well. Even if you use all these platforms, you can cut down your production time and cost by 30%, 40%, 50%, right? That's the number we are seeing—30 to 50% reduction, depending on the software you're building and the objectives. So just to recap—you validate the idea by interrogating Claude and ChatGPT, asking about the needs of that customer, the psychology of the customer—that's step number one. Step number two is 3D printing the software with Lovable or Replit—so proof of concept. And then you design the wireframes. And then what's next after you design the wireframes? What's the next step?  So that’s a good thing. That’s it. Now I'm going to talk about the human element—some people listening to this podcast will be surprised. Now it comes to visual design, right? So you've created the skeleton, and now you have to add the skin, the tone, the color, the emotion to the design, to the workflow. Now, we have tried AI, but it doesn't work. It's very monotonous. So we use an experienced visual designer, a UX designer, for that step—to give it emotion. When you use AI—I wish I could show you some examples—it creates very similar kinds of designs for apps and software. So what we did is we gave it three different apps with very different objectives and everything, and the designs it came up with were very similar—blocks, buttons—very monotonous. So there's no differentiation. And design is the main thing that becomes the differentiator, right?  Yeah.  So that's what we learned from our experience. And I say that very categorically in all of my talks—that visual design, final UX, has to be human, not AI.Share on X Because you are communicating emotions, right? And AI is still not there to communicate emotions.  Yeah. It doesn’t have emotions.  Well, some people will argue with you and say, “No, it can understand if you're sad or unhappy.” But my response to that is—it's because we've programmed it that way. But things change based on situation, context, ethnicity, culture, fear—how people express nervousness, fear, and all that—it's very different. So there was this AI video interviewing company five or six years ago. They were sued by the Department of Justice because they were trying to detect emotions of people like anxious, nervous, when the interview was happening.  It turned out their model was trained only on one race—they didn't account for other races or ethnicities. So their model failed, and they were sued by Department of Justice for that. So yeah, emotions is something—maybe they have unlimited dimensions, we don't know. So it's hard to program that. So basically: ideation, prototype, wireframe, and then final visual design—that's the discovery and design framework. Now, when it comes to development framework, this is where AI has been a game changer—the coding part. But again, you have to be very careful about how you use AI in your coding pattern with your coding team. It depends on the application, it depends on the tech stack, right? Every platform has its own strengths and weaknesses. For example, if you want to build a web-based application in the React JS framework, then Lovable is great. That's very good—very efficient and cost-effective. Then Claude is there. Claude has been really good in software engineering. I would say it has been built and designed mostly for coding, right? Anthropic—their idea, their starting point—was coding, how to make coding and software engineering better.  So they've been a front runner in the race. ChatGPT is trying to catch up using Codex, and Copilot is great. Copilot is mostly used by enterprises who are on the Microsoft stack. They use Copilot a lot for coding in .NET and enterprise-level applications. They’re used to co-pilot. It’s because they feel comfortable with Microsoft security policies and all that. That’s fine. But in general, we see Claude to be at the top—from our perspective. We've also built a framework for software coding. In software development, there's a popular process called peer review. So when you create source code, you get it reviewed by your peer—your colleague.Share on X  Is this what happens on GitHub?  Yeah, yes. So basically anywhere—any source code repository—you can do that. So your team members can help you make your code better and more efficient.  Yeah, I understand. But now we have a step called prompt peer review. When you're using prompts to build software, those prompts get reviewed by team members. Because if your prompts are not very specific or good enough all the way through the SDLC, you can run into a lot of challenges trying to fix the code. Because now you have a situation where you have code that you have not written fully, and when you ask AI to change something in the code, sometimes it ends up changing a lot of things that you don't want it to change. Yeah.  That's what we've seen, and that's why we evolved. Before we build any software, we create maybe a 10-, 20-, 30-page prompt document, where we go through each screen and function and write it out. It's very sophisticated—it has evolved really well. But the thing is, it takes a few days to do that within the team, because we know if we do it right, the next step is faster and more accurate. So really, the prompt document—think of it more like an architecture document. Earlier, we used to create a solution architecture document, defining all the tools, the design, everything.  But now it's more like an AI-driven solution architecture document with prompts, which get reviewed by team members. So we do that, and then we run that, and we get the code and everything. So I have a CTO club—I run a CTO Club in Maryland—and I was talking to CTOs. They're all using this, but some of them are so advanced that they actually define the test cases in the beginning. They define, “Okay, this is what I want, this is the function I want, and these are the test cases I want it to pass.” That's even more advanced. If you can do that, you can have very efficient code.  Yeah, I love it.  So is that the end? You have your test cases, you design the prompt, you peer-review the prompt, and you already had the prototype, so now you're coding the software—what's the last step?  Yeah. Then there’s an integration as well. So AI doesn’t do the integration so well. You can do the front-end coding, you can do the back-end coding, you can probably create the APIs. APIs require a lot more human intervention. But once you have that, then you have to connect it, right? You have to connect the front end with the backend. A lot of that is still done by the programmer. It's hard to rely on AI for doing that. And again, it depends on the application. Maybe if it's a smaller application, maybe you can have AI do that. But if it's a bigger application—we mostly build bigger applications—then integration, then final QA and testing, and deployment.  So all that is there. But in each of these steps, you can use some sort of AI tool to speed up the process. But the key is you still have to have your architecture, the process. You have to know the steps more. You have to be a good, experienced developer to use AI efficiently if you want to build a production-ready application. You can build a prototype. Anybody can build a prototype on Replit or Lovable, but it's not going to be production-ready that you can give to your customer and charge them money. So that’s the differentiator.  Yeah, I understand. So Piyush, I’d like to switch gears here. I understand the AI ideation framework—that's great. We talked about the technical part of it, the curiosity, the technical challenges. Let’s talk about the entrepreneurship part, which is also part of your profile. So what drives the growth of your business? What would you say drives it?  For us, there are multiple factors that drive the growth of our business. The first is, again, our problem-solving attitude. Any client that comes to us we communicate in that modelShare on X The problem, the challenge, the solution, the business part, the value proposition we bring. And the second factor is our location. We are here in Maryland, and we have another office in Chicago. So being here, we have a global shoring model—that's a main driving factor of our business from the entrepreneurship perspective. So what the global shoring model is: our client-facing team, the senior team, is here—solution architects, sales engineers, designers, project managers, business analysts—they are here in the US, client-facing. And our dev team and testers are in our offshore locations.  Some people call it hybrid shoring. I call it right shoring. The reason I call it right shoring is because in this model, you have the right people at the right shore, so you get the most value. Here, you have people who understand the culture, the product, the context—because products are used by people in a certain culture. And if you are not in that culture, if you haven't experienced it, it's always harder to design the right software solution. I was one of the first people to start that model here in the DMV area for mid-size and smaller companies. This model existed before, but mostly for large enterprise companies. They have used that. But I started to offer that 16 years ago to smaller companies. Either companies were just going offshore, or they were doing onshore, right? I introduced this hybrid—or right-shoring—model, and it has been well received by our customers. So that’s it.  So what is one thing that you’re trying to figure out in your business right now?  Right now, what I'm trying to figure out in my business is scaling. I mean, we have built solutions for many different industries. We have built solutions for different clients in fintech, healthcare, education, nonprofit, startups, IoT, construction. But now what we are trying to figure out is how do we create some off-the-shelf solutions for different industries? Because one challenge we see is that, from the client's perspective, getting custom software built takes time and money. But in certain use cases, we can have off-the-shelf, industry-specific solutions, and then customize those based on the client's needs.  So that's what we are trying to figure out—across different industries, what those solutions can be—so we can scale and also make it easier. And these are more like AI-driven, off-the-shelf solutions that are customizable. So think of it like Salesforce—its core is off-the-shelf, but then you can customize the front end and a lot of other things. Not exactly like Salesforce, but more like industry-specific solutions for different use cases—nonprofit, construction, right? With those, overall, we can build solutions faster.  That’s fascinating. So how has the offshoring—or right shoring, as you call it—model evolved over the past 10 years? Is it different now than it was 10 or 20 years ago?  Yeah, I think that's a great question. It has evolved and changed. Earlier—maybe 10, 12 years ago—when we were talking about hybrid shoring, we were mostly talking about the US and Asia. But now we have different players. We have the nearshore model, which has become quite popular as well—like South America. We have team members in nearshore locations as well, in South America, because we want to leverage different time zones, resources, and culture. And we've seen very positive results. Then you have Eastern Europe. We have competition from countries like Ukraine, Belarus, Romania, Poland. I think it’s the part of the globalized world, right? It's like energy flowing in different spaces—it's not limited to one place, which is great. That's one way it has evolved.  I also know some companies working in Kenya—there are developers there. Some companies are setting up in East Africa, West Africa. So different places are playing roles now. That’s one thing I see. And now, with the help of AI, what's going to happen is it will play two roles. One— in many situations, with AI, you can do more things onshore. That’s one aspect of it. And second—with AI, someone sitting offshore who knows how to use AI can become very competitive as well. We don't have enough data yet to fully see how this will evolve, but maybe in a year or so, we'll see how it plays out.  But I also find that with these simultaneous translation tools—like Apple, I think an iPhone can now translate in all languages. Essentially, another barrier falls that if the language and knowledge of your offshore contractor is not perfect, they can understand things much more clearly because of simultaneous translation. Even on Zoom, you can now flip a switch and they can read what's being said in their own language during a conversation. So that's amazing, I think.  Yeah. That’s amazing. That’s amazing. They can understand more about the culture and mindset. So that's something have to see. Again, I think it depends on the use case, the application, the problem we're solving. But in some cases, it might be great news for onshore—we can keep more dollars here. But keeping dollars here with AI also means a lot of that spend is going to AI, right? So that's one thing—we have to be very careful. Yesterday, in our tech breakfast, our presentation was about how to optimize your AI tokens. There are some companies spending $150,000 per year per employee on tokens. Wow.  That's like the salary of one employee.  Yeah.  A mid-level developer—$150K—they're spending that much. And then they’re trying to figure out how to optimize it. And on top of that, they have cloud costs, right? AWS, Azure—those costs are still there—and then you add AI. So it's a lot of money. You really have to be very smart about understanding and optimizing it. That’s why the prompting is so important, right? It's not just about getting the right software—it's also about getting the cost down.  Yeah. Again, you need expert people who can prompt well, because it's about being able to communicate well. Prompting is about communication—it's about clarity, brevity, security, all that stuff. So, Piyush, we're coming close to the end of the recording. If someone would like to learn more about the applications you develop, how you're using AI, and how you can help their business develop technology, where can they find you? What's the best way to get in touch with you? Sure, there are many ways people can reach out to me. They can go to my website, www.simpalm.com—we have a contact form there. They can submit the form, or they can reach out to me via email directly at contact@simpalm.com. They can also connect with me on LinkedIn. I'm on LinkedIn—message me there if somebody needs anything. I always like discussing problems and what the solutions can be. If anybody reaches out to me, I'm always very quick to respond.  That's awesome. So Piyush Jain, the CEO of Simpalm—and we didn't even talk about your other business, Ducknowl—thank you for coming, and thank you for sharing your insights and your framework on how to build an ideation framework for AI. So thanks for sharing that. And if you're listening and you enjoyed this conversation, then stay tuned, because every week we have another entrepreneur sharing their insights and frameworks with you. So make sure you follow us on YouTube, subscribe, and give us a review on Apple Podcasts. So thanks for coming. Thank you, Steve. It was a pleasure talking to you. Important Links: Piyush's LinkedIn Piyush's website

You've been prompting for years!Are you getting the best results from your clients, employees, or even AI? Have you ever wondered why vague instructions lead to vague outcomes? In this episode, I explore how the way you communicate—whether with people or technology—impacts the results you get. Discover why context, clarity, and details in your input matter, and how they can bring you closer to the answers you need.Listen to this new 5-minute episode for practical ways to give better direction and improve your outcomes—whether in business, with clients, or using AI.If you have any questions about anything in this, or any of my podcasts, or have a suggestion for a topic or guest, please reach out directly to me at Alan@WeddingBusinessSolutions.com or visit my website Podcast.AlanBerg.com Please be sure to subscribe to this podcast and leave a review (thanks, it really does make a difference). If you want to get notifications of new episodes and upcoming workshops and webinars, you can sign up at www.ConnectWithAlanBerg.com  View the full transcript on Alan's site: https://alanberg.com/blog/AI For The Real World - A Practical Guide to AI for Wedding & Event Pros is your easy way to learn how to harness the power of AI, no matter which AI tools you use. Get Yours Today at www.ShopAlanBerg.com  I'm Alan Berg. Thanks for listening. If you have any questions about this or if you'd like to suggest other topics for "The Wedding Business Solutions Podcast" please let me know. My email is Alan@WeddingBusinessSolutions.com. Look forward to seeing you on the next episode. Thanks. Listen to this and all episodes on Apple Podcast, YouTube or your favorite app/site: Apple Podcast: http://bit.ly/weddingbusinesssolutions YouTube: www.WeddingBusinessSolutionsPodcast.tv Spotify: https://spoti.fi/3sGsuB8 Stitcher:  http://bit.ly/wbsstitcher Google Podcast: http://bit.ly/wbsgoogle iHeart Radio: https://ihr.fm/31C9Mic Pandora: http://bit.ly/wbspandora ©2025 Wedding Business Solutions LLC & AlanBerg.com 

Howie and Harlan are joined by trauma surgeon Selwyn Rogers, who reflects on caring for victims of gun violence and speaking with families in their darkest moments—and explains why the problem must be understood as a shared societal responsibility. Harlan examines new evidence suggesting U.S. healthcare spending has grown more slowly than expected; Howie discusses a retracted Lancet article that highlights the risks of undisclosed conflicts of interest. Show notes: Healthcare Costs "Has the United States Bent the Health Care Cost Curve?" David M. Cutler "Baumol's cost disease" Harlan Krumholz: "Out‐of‐Pocket Annual Health Expenditures and Financial Toxicity From Healthcare Costs in Patients With Heart Failure in the United States"  Selwyn Rogers Selwyn Rogers: Healing the Gun Violence Epidemic: Ending Violence, Rebuilding Communities, and a Trauma Surgeon's Vision for Restoring Hope Albert Ko "Selwyn Rogers named associate editor of prestigious New England Journal of Medicine" Selwyn Rogers: "Hope—Beyond Firearm Trauma" Selwyn Rogers: "Structural Racism and Firearm Injury: Operationalizing Health Equity in Trauma Care" Brain Death: What it is, Stages & Criteria New York Times Live Updates: Supreme Court Birthright Citizenship Case  Annual Gun Violence Data 2023 Conflicts of Interest "Retraction: Cosmetic talc powder" "Historians Unearth a Conflict of Interest, Prompting a Retraction by The Lancet Journal" Johns Manville Trust Fund and Lawsuits Mark Lanier Health & Veritas Episode 215: Arya Singh: Beyond Accessibility In the Yale School of Management's MBA for Executives program, you'll get a full MBA education in 22 months while applying new skills to your organization in real time. Yale's Executive Master of Public Health offers a rigorous public health education for working professionals, with the flexibility of evening online classes alongside three on-campus trainings. Email Howie and Harlan comments or questions.

This is the 6AM All-Local update on Tuesday, March 31.

AI is everywhere right now… but are we using it the right way?In this episode, Tim Hooper breaks down how business owners and sales professionals can actually leverage AI to create more freedom, stronger relationships, and better communication — not less.This isn't about replacing people. It's about removing friction so you can show up better where it matters most.If you've been overwhelmed by AI, unsure where to start, or worried about losing authenticity… this conversation will completely reframe how you see it.Episode Topics:AI vs. human connection: where the line actually isWhy most people are using AI wrong (and losing trust)Prompt engineering: the most important AI skill right nowHow AI can give you time back (not just efficiency)The danger of AI avatars and fake personalizationSmall business AI tools that actually workFractional CTOs and ROI for growing companiesUsing AI to create better customer experiencesThe future of work, soft skills, and human connectionInsights:AI should remove friction, not replace relationshipsTrust is the ultimate filter: if AI lowers trust, don't use itMost content online is becoming “AI vanilla” — authenticity winsThe real opportunity isn't automation… it's reconnectionBusinesses that win will delegate tasks, not identityPrompting with your voice creates better outputs and better communication skillsAI can unlock hidden potential in teams by freeing up timeThe future advantage is in soft skills, not technical skillsHighlights:00:00 Highlighted Keypoints00:00 AI and Human Connection10:22 Trust and AI Use Cases16:36 ROI and Organizational Strategy23:10 Upskilling and Repurposing Work31:39 Prompting and Voice Tools40:41 Practical AI Tools & Examples50:32 Cohorts and Ongoing Support54:14 Podcast episode endedTim Hooper works with business leaders who want to increase the number of top performers on their team and with sales professionals who want to convert more of the best clients faster. As founder of Energy4Sales, his company's training programs like the Professional Selling Accelerator help sales professionals build predictable pipelines through disciplined proactive connection, consistent valuable communication, extreme ownership of their database, and a technology-leveraged focus.Tim enjoys speaking for sales teams and associations across the country on topics like Energizing Your Sales, Marketing That Matters, The Attitude of Leadership & The AI-Leveraged Professional. He's a John Maxwell-certified coach, cohost of the TrustFactorX podcast, and author of the GotEnergy? Abundant Life Series. He currently serves as VP of Sales Strategy & Marketing Implementation for FNF's Agency Division partners working closely with title agency, real estate and mortgage company leaders.When he's not consulting, he's making memories with his four kids and wife of 19 years while pursuing his quest to run a marathon for charity in every state. He resides in beautiful Central Virginia and would love to connect with you here on LinkedIn.Resources:Connect with Tim Hooper on LinkedIn: https://www.linkedin.com/in/timehooper AI tools mentioned:ChatGPTClaudeGeminiMicrosoft CopilotPerplexitySuno (AI music generator)PLAUD (AI voice recorder + transcription tool)AI Cohort (limited to 10–12 participants monthly for hands-on implementation)Email: team@energy4sales.com Website: www.energy4sales.com Book - Got Energy?: 3 Musts to Igniting Your Passionhttps://www.amazon.com/Got-Energy-Musts-Igniting-Passion/dp/1642554278If this episode shifted your perspective on AI, share it with another business owner or team leader who needs to hear this.And if you're serious about actually implementing AI the right way… reach out to Tim and explore his cohort.Connect with Kara to share your thoughts on the series:Website - http://www.kcdrealestate.com/ Email - kara@kdcrealestate.com Instagram - https://www.instagram.com/karachaffindonofrio/ Facebook - https://www.facebook.com/karachaffin1?_rdc=1&_rdr YouTube - https://www.youtube.com/user/KaraChaffin LinkedIn - https://www.linkedin.com/in/karachaffin/ Don't forget to visit

Let's talk about Trump prompting Danish war planning....

AI used to be about prompts, now it's about delegation. Christopher Penn breaks down what agentic AI actually is, why it represents a leap forward for small businesses, and how tools like Claude Cowork are turning strategy into execution. If you've been curious about moving beyond copy-and-paste AI and into systems that actually get work done, this conversation is your starting point. https://www.theagentsofchange.com/616 Need help with your branding, website, or digital marketing? Reach out to me (Rich Brooks!) today at https://www.takeflyte.com/contact

In this compelling episode, Brandon Laws sits down with Sharon Gai, author of How to Do More with Less: Future-Proofing Yourself in an AI-Driven Economy. Sharon shares eye-opening stories—from witnessing AI compress weeks of work into seconds at Alibaba to her global perspective on how human roles are rapidly evolving. Together, they explore the widening gap between people who embrace AI and those who resist it, and why learning to orchestrate AI—not fear it—will define the next era of work. Sharon introduces practical frameworks (like becoming a "centaur worker") that help knowledge workers offload repetitive tasks, elevate their creativity, and reclaim agency in a world that often feels like it's moving too fast. If you're unsure how to keep up—or overwhelmed by all the talk of automation—this conversation will leave you feeling informed, inspired, and ready to adapt. If you miss this episode, you'll miss the roadmap to staying relevant and empowered in the AI economy. Key Timestamps 00:02 – Welcome Sharon Gai Brandon introduces Sharon and her new book, highlighting its practicality for both beginners and experienced AI users. 01:13 – The Growing AI Divide Sharon explains why the workforce gap isn't just about technology—it's about power, agency, and access to information. 01:43 – The Bee vs. Beekeeper Metaphor How a simple analogy became the foundation for Sharon's philosophy on doing more with less. 04:52 – The Alibaba Aha Moment Sharon shares the night in 2018 when she watched an AI design tool compress weeks of work into seconds—forever changing her view of what's possible. 12:00 – Resistance to AI & Fear of Replacement Why some people reject AI tools and how fear, identity, and uncertainty shape adoption. 15:26 – A Future of AI-First Workflows A discussion on billion‑dollar one‑person companies, automation, and which predictions hold weight. 19:34 – The Centaur Worker Sharon introduces the half‑specialist, half‑orchestrator worker who will thrive in the AI era. 22:15 – Prompting as the New Literacy Why prompting matters and how employees can level up their "prompt IQ." 26:13 – Who Wins the AI Race? Sharon breaks down today's major AI players—ChatGPT, Claude, Gemini—and why switching costs and use cases matter more than loyalty. 32:24 – The Shift Toward AI Companions How hardware devices and wearable AI may shape the next decade. 35:16 – Fear, Opportunity & Public Pressure Balancing utopian and dystopian futures, and why consumer decision‑making still matters. 37:10 – Creativity, Originality & the Camera Analogy Why AI isn't killing creativity—it's redefining it and pushing humans toward deeper originality. 41:07 – The Future of Learning & Upskilling How HR teams can help employees adapt through AI education and fluid intelligence. 45:24 – Where to Find Sharon Gai Sharon shares how listeners can follow her work, speaking, and updates. A QUICK GLIMPSE INTO OUR PODCAST Podcast: Transform Your Workplace, sponsored by Xenium HR Host: Brandon Laws In Brandon's own words: "The Transform Your Workplace podcast is your go-to source for the latest workplace trends, big ideas, and time-tested methods straight from the mouths of industry experts and respected thought-leaders." About Xenium HR Xenium HR is on a mission to transform workplaces by providing expert outsourced HR and payroll services for small and medium-sized businesses. With a people-first approach, Xenium helps organizations create thriving work environments where employees feel valued and supported. From navigating compliance to enhancing workplace culture, Xenium offers tailored solutions that empower growth and simplify HR. Whether managing employee relations, payroll processing, or implementing impactful training programs, Xenium is the trusted partner businesses rely on to elevate their workplace experience. Discover how Xenium can transform your workplace: Learn more → https://www.xeniumhr.com/ Connect with Brandon Laws LinkedIn: https://www.linkedin.com/in/lawsbrandon Instagram: https://www.instagram.com/lawsbrandon About: https://xeniumhr.com/about-xenium/meet-the-team/brandon-laws Connect with Xenium HR Website: https://xeniumhr.com/ LinkedIn: https://www.linkedin.com/company/xenium-hr Facebook: https://www.facebook.com/XeniumHR Twitter: https://twitter.com/XeniumHR Instagram: https://www.instagram.com/xeniumhr YouTube: https://www.youtube.com/user/XeniumHR

Preview for later today: Liz Peek joins John Batchelor to discuss how AI developments are causing market sell-offs in software and logistics, prompting investors to seek alternatives to MAG 7 stocks.1963