Artificial intelligence breakthroughs might appear magical from the outside, but underneath lies a predictable and surprisingly elegant structure.

This episode of A Beginner’s Guide to AI takes listeners on a clear and engaging journey into the three scaling laws of AI, exploring how model size, dataset size, and compute power work together to shape the intelligence of modern systems.

Through practical explanations, entertaining analogies, and detailed real-world case studies, this episode demystifies the rules that drive every meaningful AI advancement.

Listeners will learn why bigger models often perform better, how data becomes the lifeblood of learning, and why compute power is the critical engine behind every training run.

The episode includes a memorable cake analogy, a breakdown of how scaling laws led to the rise of state-of-the-art large language models, and practical tips for evaluating AI tools using these principles.

This deep yet accessible explanation is designed for beginners, creators, and curious minds who want to understand what truly makes AI work.

📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
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About Dietmar Fischer:

Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com

Quotes from the Episode

“AI doesn’t just grow; it scales, and scaling changes everything.”
“Compute isn’t the cherry on top; it is the oven that makes the entire AI cake possible.”
“Scaling laws show us that AI progress isn’t magic; it’s engineered.”

Chapters

00:00 Introduction to AI Scaling
03:24 The Three Scaling Laws Explained
11:02 The Cake Analogy for AI Models
17:40 Case Study: How Scaling Transformed Large Language Models
23:58 Practical Tips for Understanding and Applying Scaling Laws
28:45 Final Recap and Key Takeaways

Music credit: "Modern Situations" by Unicorn Heads

🚀 Matt Weaver, Solutions Engineering Leader at OpenAI, takes us inside the launch of GPT-5, the rise of AI agents, and how these tools are transforming industries.

From practical business adoption tips to exploring advanced features like Deep Research and Custom GPTs, this episode is packed with actionable insights.

📧 Tune in to get my thoughts, tips and tricks and all the episode in your mailbox: beginnersguide.nl

💡 What you’ll learn in this episode:

• How GPT-5 chooses the right reasoning model automatically for better answers
• Why AI literacy is the foundation for business adoption
• Industry examples from banking (BBVA) to travel (Virgin Atlantic)
• How AI agents like Deep Research work – and why they’re a game changer
• Creating your own Custom GPTs without coding
• Addressing AI objections: security, hallucinations, and cost concerns

Quotes from the Episode:

💬 “AI is such a transformative technology — now is the time to reimagine your processes, not just bolt it onto old ones.” – Matt Weaver

💬 “Your first AGI moment changes how you see every problem — you start thinking, ‘How can ChatGPT help me with this?’” – Matt Weaver

🧾 Chapters (experimental):

00:00 Welcome & Introduction to Matt Weaver

01:18 Matt’s Journey into AI and Joining OpenAI

03:58 GPT-5 Launch – What’s New and Why It Matters

08:28 How Businesses Should Start with ChatGPT

10:45 AI Adoption Strategies & Avoiding Common Mistakes

12:14 Industry Examples – Banking, Travel, and Professional Services

14:06 Deep Research: AI Agents Explained

18:06 Study Mode & AI in Education

19:56 Overcoming Objections: Security, Hallucinations & Costs

24:06 ROI of ChatGPT in Business

28:22 The “AGI Moment” & Personal Uses of ChatGPT

32:03 The Future of AI: Agents, Coding, and New Businesses

35:48 Custom GPTs – Building Your Own AI Apps

39:06 AI Safety & Optimism for the Future

41:16 Where to Find Matt Weaver & Closing

Want to know more?

🔗 ChatGPT is now also at Chat.com

🔗 OpenAI's learning resources are at: academy.openai.com

🎵 Music credit: "Modern Situations" by Unicorn Heads

Ever wished you could clone yourself to get more done? Julian Goldie actually did it — and built a content empire out of it. In this episode of A Beginner’s Guide to AI, host Dietmar Fischer talks with Julian about how he uses AI to create five videos a day, automate workflows, and still keep a personal, human touch that builds real trust with his audience.

Julian reveals how he turned his initial fear of AI into a full-scale growth engine for his business, transforming his SEO agency into a modern AI-powered content studio. He shares the systems, tools, and mindset that helped him automate marketing, scale his team, and reach millions — all while avoiding the “AI slop” that floods the internet.

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Tune in to get my thoughts and all episodes — don’t forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠
📧💌📧

💡 Key Highlights

• How Julian scaled from one YouTube channel to nine using AI

• The tools behind his workflow: Descript, Claude, and HeyGen

• Why AI videos sometimes outperform human ones (and when they don’t)

• The importance of quality control and the “human in the loop”

• How AI can make leadership more human — through reflection and empathy

• Why it’s not humans vs AI, but humans with AI vs everyone else

🧠 Quotes from the Episode

“I thought AI would destroy my agency — instead, it became my best employee.”

“It’s not humans versus AI — it’s humans with AI versus everyone else.”

“My AI avatar never gets tired, never mispronounces a word, and somehow gets better watch time than me.”

🕒 Chapters

00:00 Julian’s AI Origin Story
How the fear of losing his SEO agency pushed him into AI — and why his first ChatGPT video went viral.

06:12 Scaling Content: From Livestreams to 5 Videos a Day
Julian explains his full workflow, the role of AI avatars, repurposing, and why human connection still matters.

14:40 AI Tools That Power the System
A practical look at Descript, HeyGen, Claude, and how his team uses them to automate editing, clipping, and content creation.

22:18 Leadership, Teams & the Human in the Loop
How AI supports decision-making, reflection, communication, and empowers team members instead of replacing them.

30:44 The Future of AI Content & Final Thoughts
Quality control, the fight against “AI slop,” the risks ahead — and whether the Terminator is coming.

🌐 Where to Find the Julian Goldie:

• Julian Goldie's Agency: goldie.agency

• AI Profit Boardroom: aiprofitboardroom.com

• YouTube: @JulianGoldie

• Twitter/X: @JulianGoldieSEO

• And Julian's Website: juliangoldie.com

👤 About Dietmar Fischer

Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or digital marketing going, just reach out at argoberlin.com 🚀

🎵 Music credit: “Modern Situations” by Unicorn Heads

Step into the future of artificial intelligence with Fred Jordan as he introduces “Biocomputing”—the next evolutionary leap for AI.

In this episode, Fred unpacks how biocomputing uses nature’s own design principles to build more adaptive, resilient, and intelligent systems.

📧💌📧

Tune in to get my thoughts, and don’t forget to ⁠subscribe to our Newsletter⁠!

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Highlights from the episode:

• What “Biocomputing” is, and why it matters for the future of AI

• How biocomputing fundamentally differs from traditional approaches

• Fred Jordan’s personal journey and vision for next-generation intelligence

• Real-world examples and the untapped potential of biocomputing

  
  

Quotes from the Episode:

• “Biocomputing is about harnessing the principles of life itself to create intelligence that adapts and evolves, just like nature intended.”

• “We’re not just building smarter machines; with biocomputing, we’re taking inspiration from biology to leap forward in how AI thinks and grows.”

Chapters (experimental):
00:00 Introduction and Fred Jordan’s Background
04:15 What Is Biocomputing? The Big Idea
15:30 Biocomputing vs. Traditional AI: Key Differences
28:50 Real-World Applications and the Future of Biocomputing
41:10 Closing Thoughts and Next Steps

Where to find Fred Jordan and FinalSpark:

• Discord: discord.com/invite/edPetHUYtx

• Website: finalspark.com

• Apply to join: finalspark.com/neuroplatform/

Music credit: "Modern Situations" by Unicorn Heads

🎙️ He Taught AI How to Have Manners — Meet David Petrou of Continua AI

What if your next group chat had an extra participant — one that listens, understands the social context, remembers what you said last week, and even knows when to stay quiet? In today’s episode, host Dietmar Fischer sits down with David Petrou, founder and CEO of Continua AI, to explore the emerging world of Social AI — intelligent agents designed not just to talk, but to collaborate inside group chats.

David, formerly at Google and part of the original Google Glasses team, has spent decades thinking about how humans and machines interact.

With Continua, he’s building the world’s first truly human-aware AI that can join your Discord, iMessage, or Google Message conversations and behave like a socially intelligent teammate. This isn’t a chatbot — it’s an AI that understands when to talk, when to listen, and when to help.

📧💌📧

Get my Newsletter

Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: 👉 https://beginnersguide.nl
📧💌📧

Get ready for a deep dive into social intelligence, etiquette in AI systems, agentic actions, and the future of communication where AI participates naturally alongside humans.

💡 What You’ll Learn in This Episode

• Why Social AI is the next big evolution beyond traditional chatbots

• How Continua trains AI to understand timing, tone, context, and social cues

• Why David believes text messaging with AI will reach a billion users

• The engineering challenge behind teaching AI “manners” and “machine etiquette”

• How AI group chat agents improve communication, planning, and collaboration

• The real use cases: debugging code, planning trips, updating documents, running games, and summarizing information

• How Continua’s multi-model architecture orchestrates LLMs, fine-tunes, and intent classifiers

• Why Social AI is surprisingly safe — and why today’s fears don’t match the technical reality

• The leadership perspective: how to integrate AI thoughtfully without overwhelming teams

• Where Social AI is heading next: meetings, real-time participation, contextual computing, and agentic actions like shopping

This episode is packed with insights for anyone interested in AI agents, human–AI collaboration, team communication, or the future of intelligent digital assistants.

📌 Quotes from the Episode

• “We had to break the LLM’s brain and teach it social etiquette: when to talk, when to listen, and when to stay quiet.”
• “Traditional chatbots operate in single-player mode — Continua is built for multiplayer conversation.”
• “There are problems beyond our ability to solve directly — the real ingenuity is creating something that can learn how to solve them.”

• “Introducing a foreign intelligence into human group dynamics is one of the most fascinating problems in AI.”

• “Text messaging with AI will be the next form factor to hit a billion users.”

• “Language itself is the interface. You don’t need menus. You just tell the AI how you want it to behave.”

⏱️ Chapters

00:00 David Petrou’s Origin Story & Early Fascination with AI
04:51 Why Social AI Matters: From APIs to Human-Aware Group Agents
09:12 Teaching AI Social Etiquette: When to Talk, Listen, or Stay Quiet
16:11 Inside Continuum: Multi-Model Architecture, Fine-Tuning & Real Use Cases
24:05 Social AI in the Real World: Planning Trips, Debugging, Collaboration & Automation
35:01 The Future of Social AI: Meetings, Agentic Actions, Leadership & Ethical Considerations

🧑‍💼 About Dietmar Fischer

Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com

🔗 Where to Find the Guest: David Petrou

• Website: continua.ai
• LinkedIn: David Petrou
• Instagram: David Petrou

🎵 Closing Credits

Music credit: “Modern Situations” by Unicorn Heads

Artificial Intelligence isn’t just reshaping technology — it is reshaping leadership.
In this episode, former Google strategist Louisa Loran joins Dietmar Fischer to explore how leaders can adapt, evolve, and thrive in an age defined by rapid AI acceleration.

Louisa shares her journey across Moët Hennessy, Maersk, and Google, revealing why the biggest barrier to meaningful AI adoption isn’t technology but leadership behavior, culture, and the willingness to unlearn. She explains why strategy must come before tools, how organizations waste months chasing the wrong use cases, and why AI doesn’t challenge culture — it scales it.

---

Newsletter:Tune in to get deeper insights and all episodes. Subscribe at beginnersguide.nl

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This conversation offers a clear and practical blueprint for anyone leading teams, shaping strategy, or trying to stay relevant in an AI-enabled world.

In this episode you will learn:

• How leaders can build an effective AI leadership mindset

• Why organizations waste time on “AI use-case lists”

• How generative AI distorted expectations across industries

• How to build a culture of curiosity rather than control

• Why middle management often resists AI transformation

• The four elements of Louisa’s Leadership Anatomy framework

• How Louisa uses three AIs as strategic thought partners

• What AI literacy really means for modern organizations

• How Europe’s AI culture compares to the U.S.

  
  

Quotes from the Episode:
“AI doesn’t challenge culture. It scales it.”
“If you don’t unlearn, you can’t lead.”
“AI won’t replace you — but bad leadership will.”

Chapters:
00:00 Welcome & Introduction — Meet Louisa Loran
00:37 How curiosity led Louisa from Moët Hennessy to AI and Google
02:21 Early digital transformation and the roots of AI in logistics
04:46 Why strategy comes before tools — the real AI leadership lesson
07:15 The global “AI panic” and how leaders wasted 18 months on use-case lists
09:42 Rediscovering critical thinking in the AI era
11:56 Learning to lead through uncertainty and data discovery
14:33 Building a culture of curiosity instead of control
17:28 The leadership challenge: unlearning the habits of success
20:14 Lessons from Google — when inefficiency is actually innovation
23:01 How AI puts pressure on leaders and middle management
25:47 The anatomy of leadership: eyes, lungs, arms, and spine
29:42 Using three AIs as thought partners while writing a book
33:11 What AI literacy really means in organizations
36:18 Education, ethics, and the future of learning with AI
39:22 The European AI mindset vs. U.S. drive
42:15 Final insights: leading with clarity, courage, and curiosity
43:37 Where to find Louisa Loran and her book

Where to find the Guest:
Website: LouisaLoran.com
LinkedIn: Louisa Loran
Book: Leadership Anatomy in Motion (wherever you buy your books)

About Dietmar Fischer:
Dietmar is a podcaster and AI marketer based in Berlin. If you want to get your AI or digital marketing moving, visit Argo.berlin.

Music credit: “Modern Situations” by Unicorn Heads

📖 AI-Created Books: Chance or Threat?
In this eye-opening episode of A Beginner’s Guide to AI, Professor GePhardT unpacks the fascinating, chaotic and sometimes alarming rise of AI-generated books. From Amazon’s restrictions on AI content to the ethics of machine-written storytelling, this episode dives deep into the future of publishing and what it means for readers, writers and creators.

We explore how AI-written books are made, why platforms are overwhelmed and how readers can distinguish human creativity from machine-made text. You’ll hear surprising real-world cases, including the Clarkesworld shutdown and the now-infamous “82% AI-written” herbal remedy category on Amazon.

📌 What you’ll learn:

• How AI book generation actually works

• Why AI is both a creative partner and a creative threat

• The risks of misinformation in AI-written books

• How to spot an AI-generated book

• Why platforms like Amazon are tightening their rules

• The future of authorship in an AI-saturated world

📧💌📧
Tune in to get my thoughts and all episodes — don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧

Quotes from the Episode

• “A book is more than content; it’s a relationship between the mind that wrote it and the mind that reads it.”

• “AI doesn’t dream, doubt or desire — it just predicts what comes next.”

• “AI can help creativity bloom, but it can also bury real voices under mountains of machine-written noise.”

🧑🏻 About Dietmar Fischer
Dietmar is a podcaster and AI marketer from Berlin. If you want to kickstart your AI or digital marketing journey, he’s your guy!

You can find him at Argoberlin.com

🎧 Music credit: “Modern Situations” by Unicorn Heads

// This is a repost of a great episode - and why, you ask yourself, did he not publish a new episode? Because you are nearly the only one listening to my podcast on the Thanksgiving weekend 😂

The Terminator films have profoundly shaped how society thinks about artificial intelligence. This episode analyzes concepts like artificial general intelligence through the lens of Skynet, the malevolent AI in the movies.

We explore real-world AI safety research inspired by cautionary sci-fi narratives. The episode prompts a thoughtful examination of how we can develop advanced AI that enhances humanity rather than destroying it.

With ethical, responsible innovation, we can steer the future toward an AI-enabled world that benefits all.

📧💌📧

Tune in to get my thoughts and all episodes, don’t forget to ⁠subscribe to our Newsletter⁠.

📧💌📧

About Dietmar Fischer

Host of Beginner’s Guide to AI. Economist and digital marketer helping teams turn AI from hype into workflows.Training, talks, and courses with thousands of participants. 🎙️

Go to ⁠argoberlin.com ⁠to see how we can help you!

This podcast was generated with the help of artificial intelligence. We do fact check with human eyes, but there might still be hallucinations in the output.

Music credit: "Modern Situations by Unicorn Heads"

In this episode of A Beginner’s Guide to AI, host Dietmar Fischer talks with Roman Chernin from Nebius, about how AI democratization is reshaping the enterprise world.

Roman reveals what it really takes to move from prototype LLMs to reliable, scalable AI platforms - and why most companies don’t need to train their own models to harness AI’s potential.

📧💌📧

Tune in to get my thoughts and all episodes - don’t forget to subscribe to our Newsletter: ⁠beginnersguide.nl⁠

📧💌📧

From his early years at Yandex, where machine learning quietly powered maps and search, to helping Nebius build global AI infrastructure, Roman’s story is a blueprint for how cloud platforms can make AI accessible to everyone.

He explains how Nebius Token Factory enables businesses to deploy AI applications fast, how to navigate the minefield of compliance and cost, and why real success in AI comes from better collaboration and iteration — not from “being a genius.”

🚀 Key Highlights

• What democratizing AI means for modern enterprises
• Why infrastructure scaling 10× a year forces constant reinvention
• How Nebius bridges the gap between OpenAI and open-source ecosystems
• Making AI usable for non-technical teams through better developer experience
• Why Europe still has a chance to catch up in the AI race
• How AI changes leadership, creativity, and collaboration

💡 Quotes from the Episode

“The goal isn’t to build more data centers - it’s to make AI usable for people who aren’t AI experts.”

“You don’t need your own LLM. You need a problem to solve - and the right infrastructure to do it.”

“If you want to scale a system ten times, you don’t fix it - you rewrite it.”

“Compute is becoming the new electricity, but we don’t want to be just a utility company.”

“The real bottleneck isn’t GPUs - it’s making AI usable, compliant, and cost-efficient for real businesses.”

“We can’t forbid AI use; it’s already here. The real challenge is helping society adapt fast enough.”

🧾 Chapters

00:00 Introduction - Welcoming Roman Chernin to the show
00:28 Why AI? Roman’s early journey and Yandex years
01:24 What Nebius does: Building AI infrastructure for builders
03:02 The challenge of scaling AI infrastructure 10× per year
05:06 From utility computing to full-stack AI platforms
07:15 Why developer experience matters for AI growth
09:45 How enterprises move from OpenAI to open-source models
12:10 Compliance, data sovereignty, and enterprise security
14:55 Cost, latency, and optimization challenges in AI scaling
16:50 Which industries are adopting AI fastest
18:40 Democratizing AI for mid-sized businesses
19:35 Nebius Token Factory: Enabling custom AI APIs
22:14 Open-source vs closed models - the real trade-offs
26:03 The U.S. vs. European AI market and regulation
31:20 How governments can drive AI demand (not just infrastructure)
33:58 How AI changes leadership, creativity, and collaboration
37:40 Why iteration beats genius - and how AI accelerates it
38:56 Roman’s personal “wow moment” with AI video generation
40:55 The real risks of AI - and how fast society must adapt
43:35 Final thoughts and where to find Nebius and Roman

Where to Find Roman Chernin and Nebius

• Nebius Website
• Nebius Token Factory
• Roman Chernin on LinkedIn

Music Credit: “Modern Situations” by Unicorn Heads

Human-Centered AI at Work with Monica Marquez: A Practical Adoption Playbook

If you’re still treating AI like a shiny gadget, this episode will be a polite intervention.Monica Marquez (Flipwork) shows how to build a human-centered AI adoption playbook that actually sticks.We dig into AI as a partner, not a tool; psychological safety for teams; and the one-workflow-per-month rule that turns experimentation into measurable AI ROI.You’ll learn how to avoid work slop, build agentic workflows, and translate machine output into authentic intelligence that reflects your expertise. 🤖

What you’ll learn

• Shift identity first: “I experiment with AI daily.”
• Redesign workflows before adding tools.
• Create psychological safety so teams can try, fail, and improve.
• Kill work slop and layer your context for quality.
• Build agentic workflows that scale judgment and consistency.
• Track time saved and quality gains to prove ROI.

📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter.📧💌📧

Quotes from the Episode

• “The real danger isn’t killer robots. It’s disengaged humans.”
• “Don’t ship work slop. Turn artificial intelligence into your authentic intelligence.”
• “Redesign your workflow first, then layer AI. Otherwise you just automate the old mess.”
• “Stop treating AI like a tool. Treat it like a partner.”
• “Adoption starts with identity: I experiment with AI every day.”
• “Use AI for five-dollar tasks so you can solve five-thousand-dollar problems.”

Chapters

00:00 Welcome, who is Monica Marquez and what is Flipwork

02:59 AI as a partner, not a tool

05:34 Practical example: recruiting, prompts, and human judgment

07:02 Generational beliefs, “artificial intern,” and mindset shifts

11:24 From effort to impact: redefining success with AI

12:46 Redesigning workflows before layering AI

14:44 Psychological safety and daily experiments

16:55 Leaders model usage, run side-by-side experiments

18:37 Avoiding “work slop” and building authentic intelligence

21:44 Doing more of your “zone of genius” with AI

24:39 The one-workflow-per-month rule

29:25 Industry adoption patterns, lessons from Blockbuster vs Netflix

33:12 Personal AI use cases and voice-based workflows

36:32 Matrix, Terminator, and Monica’s real fear: disengaged humans

37:58 Where to find Monica and Flipwork

Where to find Monica Marquez

• Her Agency: Flipwork
• Monica’s site: themonicamarquez.com
• Newsletter: Ay Ay Ay, AI

About Dietmar Fischer

Host of Beginner’s Guide to AI. Economist and digital marketer helping teams turn AI from hype into workflows.Training, talks, and courses with thousands of participants. 🎙️

Go to argoberlin.com to see how we can help you!

Music credit: “Modern Situations” by Unicorn Heads 🎵

AI’s Biggest Secret: It’s Addicted to Being Average

Large Language Models are masters of fluency but victims of probability. In this episode, Professor GePhardT unpacks why averaging—inside embeddings, attention mechanisms, and token probabilities—quietly drains AI of originality. Through humour, insight, and one brilliant case study from the University of Tübingen, we explore how “safe” AI outputs create the illusion of intelligence while smothering creativity.

From mathematical foundations to philosophical implications, this episode challenges listeners to rethink what “intelligence” really means — and to look for brilliance not in the middle, but at the edges.

📌 Key Takeaways:

• Why LLMs default to safe, predictable outputs

• How averaging erases nuance in AI

• Real-world evidence of AI’s blind spots in reasoning

• Techniques to push models beyond the middle ground

  
  

📧💌📧
Tune in to get my thoughts and all episodes — and don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧

💡 Quotes from the Episode:

1. “AI doesn’t need to be smarter. It needs to be braver.”

2. “The tragedy of the average is that it sounds right but feels wrong.”

3. “A bold sentence is an act of rebellion against probability.”

Where to find Professor Gephardt:
🌐 We help you figure out your AI game: argoberlin.com

Music credit: “Modern Situations” by Unicorn Heads 🎵

AI tools for business coaching are transforming how leaders and professionals unlock performance and personal growth.

In this episode of Beginner’s Guide to AI, Lisa Turner of CETfreedom joins Dietmar Fischer to share real-world strategies and 40+ actionable AI tools that help coaches, entrepreneurs, and business leaders boost results.

📧💌📧

Ready to take your business to the next level? Subscribe for more AI strategies, share your questions in the comments, and visit our website for free resources. Don’t miss exclusive content in our newsletter—sign up today: beginnersguide.nl

📧💌📧

Learn how practical AI can revolutionize business processes, streamline leadership, and enhance productivity.

Whether you want to overcome procrastination, empower your team, or drive personal development, this episode delivers proven approaches and expert insights.

💡 Key takeaways:
• Learn top AI tools for business coaching
• Discover AI techniques to beat imposter syndrome
• Explore AI strategies for leadership development
• Find practical uses for AI in personal growth
• See real examples of AI-ified coaching processes

🧾 Chapters (experimental):
00:00 – Welcome & Guest Introduction
02:30 – Why AI? Lisa’s Journey from Engineering to Coaching
07:10 – First Steps with AI: Overcoming Skepticism
12:00 – Building 40+ AI Tools for Coaches
18:45 – Busting Procrastination & Limiting Beliefs with AI
24:20 – Empowering Leadership & Journaling via AI
30:00 – The “Doctor Who” Mindset for Innovation
35:15 – Trends: How Coaches Use AI in 202540:05 – Final Insights & Where to Find Lisa

👉 Quotes:
• "I found a way to AI-ify personal growth and leadership tools for real business results."

• "If you want to grow fast, you have to experiment boldly with new technology."

🔗 Where to find Lisa Turner:

Go to Lisa's website and get a free book (a real one!) at: www.cetfreedom.com

👩 Or follow Lisa on social media:
TikTok: www.tiktok.com/@cetfreedom
Instagram: www.instagram.com/cetfreedom
Facebook: www.facebook.com/cetfreedom
LinkedIn: www.linkedin.com/company/cetfreedom

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🎵 Music credit: "Modern Situations" by Unicorn Heads

Are you GenX and curious about AI, but not sure where to start? In this episode, Greg Steele breaks down how Generation X can confidently embrace artificial intelligence—no tech background required!

📧💌📧

Tune in to get my thoughts and all episodes in your mailbox, don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠!

📧💌📧

Join us as Greg shares his own AI journey, debunks common myths about technology adoption after 40, and explains why now is the perfect time for GenX professionals to upskill. Whether you’re looking to stay relevant at work, explore new career paths, or just understand the buzz around AI, this episode delivers clear guidance and practical tips.

Key Highlights:

• Why AI matters for GenX and people over 40

• Overcoming technology barriers and digital fear

• Essential AI skills for midlife professionals

• Greg Steele’s step-by-step approach to mastering AI

• Real-world stories of GenX success with AI tools

Quotes from the Episode:

• “AI isn’t just for digital natives. GenX has a lifetime of experience—and that’s an asset in the age of artificial intelligence.”

• “You don’t need to be a coder to thrive with AI. Curiosity and willingness to learn matter most.”

Chapters (experimental feature):
00:00 Introduction and Greg Steele’s AI Journey
04:55 Why GenX Needs to Understand AI Now
12:30 Overcoming AI Myths and Barriers for GenX
21:00 Practical AI Skills for People Over 40
29:15 Greg Steele’s Tips for Embracing AI with Confidence
34:40 Closing Thoughts and Key Takeaways

Get Gregs Book Gen X, Y? - I had a big laugh listening to it 😂

- On Amazon

- On YouTube, read by himself!

Look how his CustomGPT on Wildlife Photography can help you 📸

I actually tried it with the bee and wasp photos I took on my balcony - and I can tell you: I'll have to do better 😅

Music credit: "Modern Situations" by Unicorn Heads

Fast Minds, Slow Machines: Daniel Kahneman’s Lessons for AI

What if your brain and your AI assistant shared the same wiring? Professor GePhardT from Argo.berlin breaks down Daniel Kahneman’s legendary Thinking, Fast and Slow - showing how humans and machines both juggle instinct and logic, and why understanding that makes you a better marketer.

From System 1’s snap decisions to System 2’s strategic reasoning, discover how AI models mimic our two-speed thinking - and where they still fall short. With insights from real-world marketing case studies, this episode explains how to balance speed with depth in AI-driven creativity and strategy.

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💡 Highlights:

• Daniel Kahneman’s “Thinking, Fast and Slow” through the lens of AI
• Fast vs. Slow AI - what marketers should know
• How cognitive bias sneaks into algorithms
• Real-world applications in campaign design and data analysis
• Actionable tips to apply slow thinking to AI tools

💬 Quotes from the Episode

“AI’s biggest flaw isn’t that it’s too fast; it’s that it thinks speed equals truth.”

“Machines now have their own version of instinct and reflection - we built our own cognitive twin.”

“Real intelligence is knowing when to slow down.”

👤 About Dietmar Fischer:

Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him!

🎵 Music Credit: “Modern Situations” by Unicorn Heads 🎧

Discover How Startups Are Winning with AI: An Interview with Peter Swimm

Are you ready to stop working harder and start working smarter? In this episode, we sit down with Peter Swimm, a tech veteran with over 20 years of startup experience, to uncover how small teams can leverage AI to punch above their weight. Peter shares candid stories about being “mistaken for an AI,” reveals why startups adapt to new tech faster, and offers his brutally honest advice for trailblazers looking to innovate with artificial intelligence.

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🚀 Episode Highlights:

- AI for startups: Why small teams win big

- Peter Swimm’s journey from community management to AI evangelist

- The power of working smarter, not harder—with automation and productivity tools

- Real talk: Risks of being a pioneer and best practices for safe AI adoption

- Actionable steps for founders and teams to get started with AI

- Fireflies AI and other top tools for productivity

💡 Quotes from the Episode:

"I've been accused of being AI because I'm everywhere—chats, emails, tutorials. That's how you use technology as a competitive advantage."

"Pioneers get scalped, but someone has to go first. If you want real innovation, you have to be willing to take the risk."

ℹ️ Chapters:

00:00 Meet Peter Swimm: 20 Years in Tech & Startups

03:12 Why Startups Move Faster with AI

09:35 Working Smarter, Not Harder—Automating the Rote, Focusing on Innovation

17:22 The Real Risks: Pioneers, Best Practices, and Lessons for AI Trailblazers

25:05 Action Steps: Peter’s Playbook for Making AI Work for Your Team

Where to find Peter Swimm, connect to him and see, what Toilville has to offer :

🧑‍🦰 He is on LinkedIn

🔗 And this is his Website

Music credit: "Modern Situations" by Unicorn Heads

In this episode of A Beginner’s Guide to AI, Dietmar Fischer talks with Alex Levin, the Co-Founder and CEO of Regal.io, about how Voice AI is bringing real human conversation back to customer service.

For years, businesses have been hiding behind IVRs and chatbots - cutting off the personal touch that customers crave. Alex explains how AI voice agents are transforming the experience, allowing brands to actually talk to their customers again, at scale, with empathy, emotion, and precision.

We dive into what’s behind this transformation - from the technology (OpenAI, Google, Anthropic, ElevenLabs, Deepgram) to the psychology of trust and emotion in customer communication. Alex shares how Regal.io helps enterprises in healthcare, insurance, and finance use AI-powered voice agents that can outperform human representatives while lowering costs and improving satisfaction.

From replacing call center frustration with warm, natural conversations to the rise of empathetic AI agents, this episode explores what happens when voice meets intelligence.

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Quotes from the Episode

“If a customer wants to talk to you, you’re lucky - and if they want to do it by voice, you should let them.”

“The personalization possible with AI agents is more human than humans.”

“Everyone told me voice was dead - they were wrong.”

CHAPTERS

00:00 Introduction - Why Voice AI Is Making a Comeback

00:54 Alex Levin’s Journey from Startups to Voice AI

03:42 “Voice Isn’t Dead” - The Moment That Sparked Regal.io

06:25 How Voice AI Actually Works Behind the Scenes

08:47 Using AI Agents to Talk to Customers at Scale

10:58 Data, Scripts, and What Makes a “Good” AI Conversation

13:33 Legal Hurdles and Privacy in Voice AI

15:50 Why Healthcare and Insurance Are Early Adopters

18:26 How Customers React When They Realize It’s an AI

21:12 Real Use Cases - From Banks to Everyday Services

24:19 Human in the Loop: When AI Hands Over to People

26:55 Can Small Businesses Afford Voice AI Yet?

28:48 The AI Startup Boom and Smarter Investment Strategies

32:20 Leadership in the Age of AI - New Skills, New Metrics

35:12 Why Young Professionals Must Learn AI Tools Now

37:45 How Alex Personally Uses AI (and Where It Saves Time)

39:24 The “Terminator Question” - Should We Be Worried?

42:08 Closing Reflections and Where to Find Regal.io

Where to Find Alex Levin

🌐 Website: www.regal.io
🧑🏻 LinkedIn: Alex Levin

🎙 About Dietmar Fischer:
Dietmar is a podcaster, AI marketer, and economist from Berlin.
If you want to get your AI or your digital marketing going - just contact us at Argoberlin.com!

🎵 Music credit: “Modern Situations” by Unicorn Heads

Step into the future of meeting productivity with Fireflies AI Notetaker and its founder, Krish Ramineni.

In this episode, we dive deep into how Fireflies is changing the way teams capture meeting notes, the real story behind building an AI meeting assistant, and why more people are choosing smart tools for transcription and collaboration.

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Krish Ramineni opens up about the journey from early AI challenges to making Fireflies one of the most trusted notetakers out there—plus, what every founder should know before building an AI startup.

And Krish lets us have a look into the future of Fireflies, becoming not just a notetaker, but a coworker that gets the routine jobs done for you 🚀
Whether you’re curious about AI meeting notes, want a candid founder interview, or are searching for a real Fireflies AI podcast review, this conversation delivers honest insights, actionable tips, and a look behind the scenes at Fireflies’ rapid growth.

Quotes from the Episode:

“If someone from 2015 saw what Fireflies does today, they’d think it’s straight out of a sci-fi movie.” — Krish Ramineni

“We built Fireflies before people even said ‘generative AI’—back then, it was just solving real problems with simple tools.” — Krish Ramineni

Chapters (experimental feature):

(00:00) Welcome & Introductions

(03:14) AI’s Everyday Impact

(06:01) Using AI for Productivity

(09:38) Krish’s Vision for the Future

(12:23) Entrepreneurship & Lessons Learned

(15:58) Breakthroughs in AI Transcription

(18:02) Adapting Fireflies to User Needs

(21:37) Fireflies’ Impact on Businesses

(24:15) Customer Trust in Fireflies

(27:24) AI, Privacy, and Trust

(30:36) Fireflies Across Industries

(33:06) AI Integration Challenges

(36:28) The Positive Impact of AI

(39:52) Where to Find Fireflies & Krish

(40:25) Final Thoughts & What's Next

Where to find Krish Ramineni and Fireflies:

• - Try Fireflies for free or learn more at: fireflies.ai

• - Connect with Krish R on LinkedIn: Krish R on LinkedIn

• - Follow Fireflies on Twitter/X: @FirefliesAI

• - Check out the Fireflies blog for AI productivity tips: fireflies.ai/blog

  
  

  
  

Music credit: "Modern Situations" by Unicorn Heads

From startup hustle to practical AI: How do you build a company that genuinely helps small businesses communicate better? Join host Dietmar Fischer as he sits down with Jack Kennedy and David Daneshgar, founders of Whippy, to uncover their journey from early consulting days to launching one of the most innovative AI-driven communication platforms.

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"The problem that I saw out there was that most of the books out there just talk about why it's important or what is important, but none of them really tell you how to make it happen."

That's where John Munsell's book comes in: get ⁠⁠⁠Ingrain AI on Amazon⁠⁠⁠

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In this episode, you’ll hear how curiosity and real customer pain points led Jack and David to experiment with OpenAI and Google models long before ChatGPT was a household name. Discover their insights on building practical AI for business, why most companies juggle too many tools, and how Whippy aims to simplify everything—automating the work that holds businesses back.

Highlights & Keywords

* The origin story behind Whippy AI* Real-world examples of AI in business

* How founders spot and solve customer pain points

* Building practical AI for small business communication* What the future holds for AI automation

* Why “just another tool” isn’t enough* Startup founder advice and trends in AI-driven SaaS

Quotes from the Episode

* “We knew we wanted to bring all communication in a business into one place. The need was just seeing people not doing a bunch of work that AI could do—and paying for all these software tools when it should just be in one place.” —Jack Kennedy

* “They were missing phone calls. They weren’t doing email marketing. They weren’t responding to proposals for weddings… and as a small business, you just can’t let things slip through the cracks.” —David Daneshgar

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Chapters:

00:00 Welcome, Introductions & Whippy Origins

02:30 Early Days with AI: OpenAI, Google & First Projects

06:40 Solving Real Problems for Small Businesses

13:10 Building Whippy: Integrating All Business Communication

17:45 The Future of AI-Driven Communication & Key Trends

Where to find the Guests:

* Connect to Jack Kennedy on LinkedIn

* Stay in touch with David Daneshgar on LinkedIn

* And definitely visit Whippy AI's website to get more insights!

Music credit: "Modern Situations" by Unicorn Heads

What happens when your company gets hit by a cyberattack?

In this eye-opening episode, attorney Joshua Cook reveals why cybersecurity isn’t an IT problem but a leadership challenge. After two decades fighting fraud and managing crisis response, Cook has seen every digital disaster imaginable — and he’s here to explain how to build true cyber resilience.

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Josh breaks down how AI has democratized cybercrime, why phishing scams have become nearly impossible to spot, and how every CEO should create an incident response plan before chaos hits. He also explains why planning matters more than the plan itself — and how leaders can keep their teams calm when everything goes wrong.

💡 You’ll learn:

- How AI is fueling new waves of fraud and misinformation

- Why leadership and communication are the real firewalls of business

- How to train teams and run tabletop exercises before the crisis

- What Maersk and Colonial Pipeline taught the world about transparency

- Why companies with a plan lose 60 % less money in an attack

Prepare, breathe, and lead — because it’s not if you’ll be hacked, but when.

👀 Quotes from the Episode

“Cybersecurity isn’t an IT issue. It’s a business problem, and it needs a business solution.”

“AI has democratized cybercrime — you don’t need to be a hacker anymore, just willing to commit a crime.”

“A plan might be useless, but planning is indispensable — that’s what makes companies resilient.”

🧾 Chapters

00:00 Welcome & Introduction – Meet Joshua Cook

02:00 How a Fraud Attorney Ended Up Fighting Cybercrime

05:00 AI Has Made Cybercrime Easier (and Smarter)

08:00 The Elderly Are the New Prime Targets

11:00 From Fake Law Firms to Real Scams – True Cases from the Field

15:00 Turning the Tables: How AI Can Defend, Not Just Attack

18:00 Cyber Resilience by Design – Why Leadership Matters

22:00 When Crisis Hits: Lessons from Maersk and Colonial Pipeline

27:00 Preparing the Team – How Training Prevents Chaos

31:00 It’s Not If, It’s When – The Power of an Incident Response Plan

35:00 Planning vs. Panicking – Eisenhower and the Art of Cyber Preparation

38:00 Why Calm Leaders Win in Cyber Crises

41:00 How Joshua Cook Uses AI Safely in Legal Practice

44:00 No, the Terminator Isn’t Coming (But AI Might Take Your Job)

47:00 Final Thoughts – Cybersecurity as a Business Superpower

🔗 Where to Find the Guest

- Joshua Cook on LinkedIn: linkedin.com/in/jnc2000

- Josh's Book "Cyber Resilience by Design" – available wherever books are sold, e.g. on Amazon

- Prince Lobel Tye LLP: princelobel.com

🎧 About Dietmar Fischer:

Economist, digital marketer, and podcaster exploring how AI reshapes decision-making, leadership, and creative work. Want to connect with me? You'll find me on LinkedIn!

🎵 Music credit: “Modern Situations” by Unicorn Heads

AI at Work — Partner, Not Boss! with Professor GePhardT

Artificial intelligence is joining the workforce—but should it be your boss? In this witty, insightful episode, Professor GePhardT breaks down the Workday AI research showing that while 75% of employees are happy to work with AI, only 30% would let it manage them.

📧💌📧Tune in to get my thoughts and all episodes—don’t forget to ⁠subscribe to our Newsletter⁠: ⁠beginnersguide.nl⁠📧💌📧

Through sharp insights, storytelling, and yes—even cake metaphors—you’ll learn how to create clear AI boundaries, foster trust, and harness human-AI collaboration without losing what makes us human.

📚 Key Highlights:

• How to make AI your colleague, not your commander.

• What “AI optimism” really means.

• Why transparency is essential for responsible AI adoption.

• Practical steps for mapping your AI boundaries at work.

  
  

💬 Quotes from the Episode:

“People don’t fear AI—they fear losing control.”
“AI can follow recipes, but only humans can taste the cake.”
“The best workplaces won’t be run by machines—they’ll be led by humans who know how to work with them.”

⏱️ Chapters:
00:00 Welcome to “AI at Work: Partner, Not Boss!”
02:15 Why AI Should Collaborate, Not Command
06:48 The Layers of AI at Work—Assistant, Advisor, Actor
11:10 The Cake Example: Baking Boundaries with Bots
14:00 Workday’s Research on AI Agents in the Workplace
19:25 The Secret to AI Optimism—Boundaries and Transparency
24:00 Interactive Challenge: Mapping Your AI Boundaries
27:30 Recap and Final Thoughts
29:10 Sign-Off and Quote by Karen Spärck Jones

👤 About Dietmar Fischer:
Dietmar is a Berlin-based podcaster and AI marketer behind A Beginner’s Guide to AI and Argo.berlin. He helps companies understand and apply AI in marketing and leadership with clarity and creativity.

🌐 Where to find the research base of the episode:
- Workday.com: Setting Boundaries
- Workday.com: Don't Call Them Boss

🎵 Music Credit: “Modern Situations” by Unicorn Heads 🎵