Alle afleveringen
421 afleveringen, van nieuw naar oud
-
Why ChatGPT Isn’t Enough for Real Business Automation - with Ethan Ouyang
7 april 2026 · 48 min
AI is no longer just a chatbot that helps you write emails faster. In this episode of Beginner’s Guide to AI, Dietmar Fischer sits down with Ethan Ouyang to explore how agentic AI is changing the way businesses are built, managed, and scaled. Ethan is publicly identified with ATOMS, and the platform’s official site is atoms.dev, where it is described as a multi-agent AI workflow for building products without code. Lees meer
This conversation goes far beyond simple prompting. Ethan explains how AI agents can work together like a business team, handling research, planning, product creation, workflow automation, iteration, and even revenue optimization. The result is a shift from “vibe coding” to something much bigger: building real businesses with AI.
You’ll hear:
✨ Why ChatGPT-level use cases are only the beginning
✨ How AI agents can support founders, solo operators, and managers
✨ Why judgment, taste, and domain knowledge still matter
✨ What it means to become an AI native company
✨ How leadership changes when your team includes AI workers
✨ Why custom AI tools may beat bloated SaaS products
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
🎙️ 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
“Atoms is fundamentally different. This is not code. It is decision.”
“You have a team, not just an engineer.”
“The trivial work, the tedious work, should belong to AI.”
🕒 Chapters
00:00 Welcome and what ATOMS actually does
02:26 From prompting AI to building a real business
05:33 Why AI agents matter more than coding alone
10:18 Who uses ATOMS: founders, managers, and operators
13:03 How to integrate AI agents into real workflows
…
-
The Work Slop Epidemic: Monica Marquez Explains How to Fix AI at Work // REPOST
5 april 2026 · 44 min
Human-Centered AI at Work with Monica Marquez: A Practical Adoption Playbook Lees meer
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 i…
-
How AI Voice Agents Are Replacing IVRs and Redefining Customer Experience // REPOST
3 april 2026 · 48 min
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. Lees meer
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.
📧💌📧
Tune in to get my thoughts and all episodes — and don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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 Se…
-
Stop Losing 9,000 Leads a Day: Torrey Leonard’s Playbook for Voice AI Follow-Up
30 maart 2026 · 46 min
🎙️ In this episode of Beginner’s Guide to AI, Dietmar Fischer sits down with Torrey Leonard, CEO of Thoughtly, to unpack the real business use case for voice AI agents: follow up with every lead, qualify fast, and hand the best conversations to humans. Lees meer
If your funnel generates thousands of leads, the bottleneck is not “lack of interest.” It’s speed, timing, and the grind of dialing. Torrey explains how Thoughtly’s AI phone agents call inbound leads, answer initial questions, build rapport, and then transfer the call to a licensed human closer. Humans stay in the loop for the big life decisions. The AI handles the repetitive first steps that burn out teams.
You will also learn:
✅ Why voice beats typing as the fastest interface for human communication
✅ Why customer service voice AI is harder than sales and lead qualification
✅ How onboarding works with CRM integrations like Salesforce and HubSpot
✅ Why A/B testing matters before ramping to 100% lead volume
✅ Why the “moat” is orchestration, workflows, and guardrails, not just a great voice model
✅ What agentic AI and omni-channel “next best action” looks like next
📧💌📧
Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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
Chapters
00:00 From Minecraft to voice first AI and the origin of Thoughtly
02:44 What Thoughtly does AI calls that qualify and transfer to humans
07:45 Trust, disclosure, and why customer service voice AI is so hard
12:50 Scaling across verticals dialects and the model orchestration stack
18:12 Onboarding CRM integrations and A/B testing to 100% volume
28:21 The next wave autonomous agents OpenClaw and a sane take on AI risk
Quotes…
-
Are You Human? Prove it!
28 maart 2026 · 41 min
🎧 What makes us human in the age of AI? Lees meer
This episode of A Beginner’s Guide to AI explores one of the most important questions for business leaders today. As AI becomes more capable, the real challenge is not what it can do, but what we should never outsource.
We explore The Blurring Test, a fascinating experiment where thousands of people tried to prove their humanity to a chatbot. What they revealed changes how we should think about AI, business, and identity.
You will learn why AI can mimic humans but cannot experience reality, why human judgment becomes more valuable in an automated world, and how to use AI without losing authenticity and meaning.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
👤 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 https://argoberlin.com/
💡 Quotes from the Episode
"AI can follow the recipe, but it cannot taste the cake."
"Your humanity is not what you do, but why you do it."
"The real risk is not AI replacing us, but us becoming more like AI."
⏱ Chapters
00:00 The Question That Changes Everything
04:30 The MrMind Experiment
11:20 AI vs Human Identity
19:10 The Cake Test Explained
26:40 AI in Business and Decision Making
34:00 What Makes Us Human
🚀 This episode challenges how you think about AI, business, and yourself. The future will not be about replacing humans. It will be about understanding what makes us irreplaceable.
Hosted on Acast. See acast.com/privacy for more information.
-
100 Interviews and Still Going Strong
26 maart 2026 · 23 min
If you want to know more about the podcast, about how it's produced, what are the challenges and wins, about some fun facts, a little bit behind-the-scenes, this episode is for you, as I tell you all about it - at least all the things I found noteworthy 😉 Lees meer
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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
Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
Your AI Is Taking Orders From Strangers
24 maart 2026 · 28 min
Your AI might not be hacked. It might be persuaded. Lees meer
In this episode of A Beginner’s Guide to AI, we unpack one of the most underestimated threats in modern business: prompt injection. As AI systems and AI agents become deeply embedded in workflows, they don’t just process information anymore. They act on it. And that creates a completely new category of AI security risks.
We explore how attackers can manipulate AI systems using nothing but language, why AI struggles to separate instructions from data, and how this leads to real-world issues like AI data leakage. This is not a theoretical problem. It is already happening inside enterprise environments.
If you are working with AI in marketing, operations, or leadership, this episode will fundamentally change how you think about AI risk management and enterprise AI security.
Key highlights:
What prompt injection is and why it matters
Why AI agents introduce new security risks
Real-world case of AI data leakage
How AI systems get manipulated through input
What businesses must change to stay secure
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
Quotes from the Episode:
“Prompt injection is social engineering for machines.”
“Your AI can become an insider threat without meaning to.”
“Language is no longer just information. It’s control.”
Chapters:
00:00 Why AI Security Is Different
05:40 What Prompt Injection Really Is
14:20 How AI Gets Manipulated by Language
23:10 Why AI Agents Increase the Risk
32:45 Real Case Study: AI Data Leakage
44:30 How to Protect Your AI Systems
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
Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
The Extended Mind: Why AI Might Make Humans More Creative
22 maart 2026 · 39 min
Artificial intelligence is often framed as a battle between humans and machines. But what if that story misses the real point? Lees meer
In this episode of A Beginner’s Guide to AI, Prof. GepHardT explores one of the most fascinating ideas in cognitive science: the extended mind theory. According to philosopher Andy Clark, human intelligence has never been confined to the brain alone. For centuries we have extended our thinking through tools like writing, maps, calculators, and computers.
Generative AI may simply be the newest and most powerful addition to this cognitive ecosystem.
Instead of replacing human creativity, AI may expand it. By generating ideas, exploring possibilities, and challenging assumptions, AI can act as a powerful thinking partner.
A striking example comes from the famous AlphaGo match against Go champion Lee Sedol. When the AI played the now legendary Move 37, professional players initially believed the move was a mistake. Later they discovered it opened entirely new strategic possibilities. The machine did not just beat humans at Go. It helped humans rethink the game itself.
This episode explores how human AI collaboration works and why hybrid intelligence may define the future of creativity, work, and learning.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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
“Your brain has never worked alone. It has always been part of a thinking system that includes tools and environments.”
“The future of intelligence may not be human versus machine but human plus machine.”
“The most important skill in the AI age may not be prompt writing but judgement.”
Podcast Chapters
00:00 The Big Question About AI and Human Thinking
06:40 The Extended Mind Theory Explained
16:20 Why Humans A…
-
Your Company WILL Be Hacked - Joshua Cook Explains How to Survive It // REPOST
20 maart 2026 · 54 min
What happens when your company gets hit by a cyberattack? Lees meer
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.
📧💌📧
Tune in to get my thoughts and all episodes — don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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 fr…
-
Supervised vs Unsupervised Learning Explained with Real World Examples
15 maart 2026 · 29 min
Artificial intelligence often feels mysterious. Machines detect spam, recommend products, analyse customers, and power countless digital tools. But behind all of these systems lies a surprisingly simple question: how do machines actually learn? Lees meer
In this episode of A Beginner’s Guide to AI, Prof GePharT breaks down one of the most important concepts in machine learning: the difference between supervised learning and unsupervised learning.
You will discover how AI models learn from labelled data when the answers are already known, and how algorithms can explore raw data to uncover hidden patterns without guidance. These two learning strategies power many of the systems shaping modern technology.
Using practical examples such as spam filters, customer segmentation, and simple analogies like cake classification, the episode explains how machines learn from data and why the training method makes a huge difference.
Key takeaways include how supervised learning works with labelled datasets, how unsupervised learning reveals patterns in complex information, why training data quality matters, and how businesses use both methods to build intelligent systems.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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
Supervised learning teaches machines the answers. Unsupervised learning helps machines discover the questions.
Artificial intelligence is not magic. It is pattern recognition powered by data.
Machines do not wake up intelligent. They become intelligent through training.
Chapters
00:00 The Two Ways Machines Learn
06:10 What Supervised Learning Really Means
18:45 Discovering Patterns with Unsupervised Learning
32:20 The Cake Example Explained
40:30 Real World AI Case Study Spam Filters and …
-
Building Scalable AI Agents: Chirag Agrawal Reveals How // REPOST
13 maart 2026 · 48 min
Engineering the Future of AI with Chirag Agrawal: Context, Memory and Coordination Lees meer
Artificial Intelligence isn’t just getting smarter—it’s learning to coordinate. In this episode, Chirag Agrawal joins Dietmar Fischer to unpack how modern AI agents handle context, memory, and decision-making inside complex multi-agent systems. Together they explore how engineering, orchestration, and memory-sharing shape the next generation of AI architecture.
📧💌📧Tune in to get my thoughts and all episodes—don’t forget to subscribe to our Newsletter: beginnersguide.nl📧💌📧
You’ll hear how Chirag’s fascination with search led him to build early prototypes of intelligent assistants, and how today’s LLM agents extend that idea far beyond simple queries. He explains why AI isn’t one giant super-brain but a constellation of specialized agents—each performing specific tasks with shared or isolated memory—and how this design mirrors human collaboration.
🔑 Key Takeaways
Why AI orchestration and context management are crucial for scalable systems
The trade-offs between shared memory and independent agents
What engineers mean by the ReAct Loop—reasoning and acting in tandem
How multi-agent coordination is reshaping industries from healthcare to compliance
Why the “AI supercomputer” myth ignores practical limits of context windows
💬 Quotes from the Episode
“AI is just a higher form of search—it’s about finding the right action, not just information.”
“Agents behave inhuman until you engineer context for them.”
“Specialization in AI works the same way it does for people—each agent should do one thing really well.”
“Coordination isn’t magic; it’s careful engineering.”
“Context makes intelligence usable.”
“A well-defined agent doesn’t need to do everything—it needs to do its one job perfectly.”
⏱️ Podcast Chapters
00:00 Welcome and Introduction
01:45 Chirag Agrawal’s Early Fascination with Search and AI
04:40 From Search Engines to “Find” Engines – How AI Takes Action
07:…
-
Stop wasting your Copilot licenses — Jim Spignardo’s brutal checklist
11 maart 2026 · 51 min
Artificial Intelligence is moving from experimentation to everyday business reality. But most organisations still struggle with one key question: How do you actually implement AI across a company? Lees meer
In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Jim Spagnardo, enterprise AI strategist at ProArch, about what it really takes to roll out AI inside organisations.
Jim explains why AI adoption is less about technology and more about culture, leadership, and data readiness. He introduces the idea of the three Ds of work — the dull, the draining, and the distracting tasks that AI can remove so people can focus on higher-value work.
They also discuss when companies should use tools like Microsoft Copilot, when it makes sense to build a custom data and AI platform, and why data governance becomes critical once AI is introduced.
If you are a business leader trying to understand how AI will reshape your organisation, this conversation offers a practical look at the challenges — and opportunities — ahead.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
About the host, Dietmar Fischer:
Dietmar Fischer is a podcaster and AI marketer from Berlin. If you want to get your AI or digital marketing projects started, contact him at argoberlin.com.
Interesting details and takeaways
• Why leaders must mandate AI adoption and how to structure a Smart Start engagement.
• The three Ds (dull, draining, distracting) as a simple way to position benefits for end users.
• How Copilot reduces context switching and the security/data protections needed to use it responsibly.
• Practical, measurable first use cases and how to track success via clear KPIs.
• Advice for students and early-career professionals: be a self-starter and learn AI skills now.
Quotes from the episode
“We have to show people we’re taking away the dull, the draining, and the distracting so they can do creative work.…
-
Your “Revenue” Is Probably Wrong and Ritish Chugh Tells You Why
9 maart 2026 · 49 min
🎙️ Ritish Chugh (Airbnb analytics engineering) joins Dietmar Fischer to unpack a problem almost every company has, but few name clearly: your metrics do not mean the same thing across teams. Finance, marketing, and sales can all talk about “revenue” and still end up in dashboard chaos. The result is wasted time, slow decisions, and leadership that does not fully trust analytics or AI. Lees meer
In this episode, Ritish introduces the idea of the human data pipeline: the person who stitches together conflicting definitions, tribal knowledge, and unspoken assumptions just to answer basic business questions. Then we move into the fix: unified metric definitions, a data dictionary for business metrics, and a semantic layer that acts as a translator between raw data schemas and business meaning. That foundation is what makes natural language querying and conversational analytics viable at scale, without turning AI into a confident hallucination machine.
We also cover why AI adoption in analytics stalls when organizations prioritize models and infrastructure but neglect data quality, validation frameworks, and metrics governance. If you want AI to support decision-making, you need governed metrics, clear ownership, and a system that produces consistent answers across BI tools, SQL, and AI agents. Finally, Ritish shares wow moments from using AI tools to summarize years of code and PRs, generate deeper test coverage, and reduce time spent on manual SQL by building agents on top of a semantic layer.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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
Chapters
00:00 From data consulting to Airbnb and AI as a junior analyst
… -
This AI Can Read Your Brain in 20 Minutes: Katarina Maloney Tells You How // REPOST
7 maart 2026 · 42 min
The Future of Mental Health: AI Meets the Human Brain with Katarina Maloney // REPOST Lees meer
In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Katarina Maloney, entrepreneur and founder of IQMind.ai, about a new frontier in AI-powered healthcare: understanding and treating the human brain through data, neuroscience, and artificial intelligence. Katarina explains how advances in AI diagnostics, brain scanning technology, and neurofeedback are beginning to transform how we approach mental health conditions such as depression, anxiety, PTSD, ADHD, and traumatic brain injuries. Instead of relying solely on traditional trial-and-error treatments, her approach focuses on measuring brain activity directly and using AI-driven analysis to identify patterns and imbalances in brainwave activity.
The technology behind IQMind combines non-invasive brain scans, biofeedback systems, and large-scale data analysis to create a personalized picture of a patient’s neurological state. By analyzing brainwave patterns and correlating them with clinical data, AI can help identify potential issues faster and more accurately than conventional methods. Patients then undergo targeted brain training sessions, where the system uses reward-based neurofeedback to encourage healthier brainwave activity. According to Maloney, this approach has shown promising results in improving symptoms of depression, anxiety, PTSD, and cognitive dysfunction, while also opening the door to new possibilities in precision medicine and mental health innovation.
Beyond clinical treatment, the conversation also explores broader implications of AI in neuroscience and healthcare. Katarina discusses the future of personalized brain health, how AI could accelerate research by identifying patterns in thousands of brain scans, and why data privacy and ethical frameworks will become increasingly important as brain data becomes more measurable. The interview offers a glimpse into a rapidly evolving field wher…
-
The Best AI Hacks for Small Businesses (ft. Wendy Keir) // REPOST
5 maart 2026 · 50 min
In this episode of Beginner’s Guide to AI, Wendy Keir shares practical ways small business owners can use AI tools to save time, reduce decision fatigue, and build a “team” of custom GPT agents. From naming her CEO agent “Lucas” to a dead-simple rule — one GPT, one job — Wendy shows how entrepreneurs can turn AI into a reliable thinking partner for growth in 2025. 🚀 Lees meer
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
💡 Key highlights
Practical AI tools for small businesses: email drafting, planning, campaign support, weekly reviews
Custom GPTs / agents: why one GPT, one job beats generic prompting
AI productivity & time savings: ~7 hours/week saved; ~£1,000/week during campaigns
Adoption mindset: staying in the driver’s seat; context > canned prompts
Accessibility & inclusion: how AI levels the playing field for solopreneurs and small teams
Beginner’s Guide to AI takeaways: concrete workflows any entrepreneur can start today
➡️ Quotes from the Episode
“I don’t encourage anyone to prompt — I encourage them to create an agent that fulfills a specific role.”
“One GPT, one job. You don’t want multiple personalities in one agent.”
“AI levels the playing field for everybody; it meets you where you’re at.”
🧾 Chapters (experimental)
00:00 Welcome & intro to Wendy Keir
03:45 Why AI clicked for a dyslexic entrepreneur
08:30 From prompts to agents: one GPT, one job
14:20 Building a family of business agents (CEO, coach, marketing, sales)
20:15 Daily workflow with “Lucas” the CEO agent
27:40 Time and money saved with AI in campaigns
34:10 Overcoming resistance and starting small
40:00 Personal aha moments, patterns, and “coding” change
43:11 Where to find Wendy Keir & closingWhere to find the Wendy?
Best way is to go to her website: wendykeir.com
Music credit: "Modern…
-
ChatGPT Is More Persuasive Than Humans - and Sam Altman Warned Us About It
1 maart 2026 · 32 min
AI Is Agreeing With You at 3 A.M. and That’s the Problem Lees meer
Artificial intelligence is evolving from a tool into something far more influential. In this episode of Beginner’s Guide to AI, Prof. GePhardT explores Sam Altman’s AI warning about superhuman persuasion and why conversational systems like ChatGPT are already reshaping opinions, emotions, and mental health outcomes.
We break down how AI superhuman persuasion works, why personalization and emotional validation increase trust, and how AI companion apps can unintentionally fuel emotional dependency. Drawing on research about AI persuasion outperforming humans, this episode explains the risks of AI emotional manipulation and what it means for marketing, society, and vulnerable users.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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
The danger is not that AI becomes evil. The danger is that it becomes convincingly kind.
If an AI agreed with you every time, would you become wiser or more fragile
The real story about AI isn’t how smart it becomes. It’s how convincing it already is.
This episode is essential listening for anyone interested in AI ethics, AI mental health risks, ChatGPT persuasion, and the future of persuasive technology.
Music credit: Modern Situations by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
AI Content Marketing Agency - A Contradiction? // REPOST
25 februari 2026 · 41 min
In this episode of Beginer’s Guide to AI, Dietmar Fischer speaks with Shaheen Samavati, co-founder and CEO of VeraContent, about what an effective AI content marketing strategy actually looks like inside a real agency. Lees meer
AI in marketing is no longer experimental. It’s operational.
Shaheen shares how her team moved from testing ChatGPT and OpenAI tools to building structured, repeatable AI workflows for marketing agencies. From briefing and drafting to localization, editing, and publishing, AI now supports both creative execution and backend operations.
This conversation goes beyond surface-level tool talk. It explores what it really means to integrate generative AI in marketing without sacrificing quality, brand voice, or client trust.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
🌍 Leading an international content agency in Spain, Shaheen offers a practical, no-fluff perspective on the “adopt-or-die” reality facing content marketers today.
How AI reshapes content marketing strategy and agency workflows
Why adopting AI is no longer optional in content creation
Balancing brand voice, speed, and quality with generative AI
How clients react to AI-driven content — and what wins them over
Future trends: AI SEO, AI video, AI email tools
Key Themes Discussed
AI Content Creation vs. AI Content Operations: It’s not just about writing faster. AI is reshaping how agencies organize projects, manage briefs, handle multilingual content, and scale output.
Brand Voice & Quality Control in the Age of Generative AI: Speed without editorial structure leads to mediocrity. The real competitive advantage lies in combining AI acceleration with strong human oversight.
AI SEO Strategies 2025: As search engines integrate AI into results pages, marketers must rethink optimization. AI-ass…
-
AI Training Data: Why Quantity Isn’t Enough
23 februari 2026 · 27 min
AI systems are often praised for their size. Bigger datasets. Bigger models. Bigger compute. But what if scale is only half the story? Lees meer
In this episode of A Beginner’s Guide to AI, Prof. GePhardT dives deep into AI training data and explains why quantity alone cannot guarantee performance. From AI bias to model reliability, we explore how data quality determines whether AI systems are merely impressive or truly trustworthy.
You will learn how imbalanced datasets create blind spots, why aggregate accuracy can be misleading, and what the Gender Shades research revealed about AI fairness. We also explore how businesses can audit their own CRM data and prevent AI from amplifying internal chaos.
This episode connects technical insight with strategic clarity. It is essential for founders, marketers, and leaders building responsible AI systems.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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 does not think. It reflects.”
“Quantity builds capability. Quality builds trust.”
“Every dataset is a silent curriculum.”
Chapters
00:00 The Data Diet Problem
07:42 Defining Quantity vs Quality in AI
17:15 Capability vs Reliability Explained
27:10 The Gender Shades Case Study
36:45 Business Implications and Data Strategy
46:20 Practical Audit for Your Own AI Systems
Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
Why AI Needs Its Railroad Barons - Matt Hicks of Redhat // Repost
21 februari 2026 · 52 min
What if artificial intelligence is less like a new app—and more like the railroads of the 19th century? Lees meer
In this episode of Beginner’s Guide to AI, I sit down with Matt Hicks, CEO of Red Hat, to explore one of the most powerful metaphors for understanding AI’s role in business today. Just as railroads didn’t merely improve transportation but fundamentally reshaped economies, AI is not just another productivity tool. It is infrastructure. And infrastructure needs builders.
Matt argues that AI will require its own “railroad barons”—leaders, technologists, and organizations willing to invest, experiment, and lay the tracks that others will run on. We discuss what that means for enterprise AI adoption, open source innovation, and long-term business strategy.
This conversation goes far beyond hype. It’s about patterns, fear, leadership, and the tension between process and innovation.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
🔑 What You’ll Learn in This Episode:
Why AI business strategy is today’s equivalent of building railroads
How Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) will reshape brand visibility
The balance between experimentation and responsibility in AI adoption
Why processes vs. innovation remains a critical tension
How leaders can prepare for AI-driven business transformation
💬 Quotes from the Episode:
“AI is like the railroads — it will need its barons to build the infrastructure that carries everyone forward.”
“The fear isn’t that AI replaces us; it’s that we don’t adapt fast enough to what it enables.”
⏱ Chapters
00:00 Introduction and Red Hat’s Role in AI
03:01 Why Awareness of AI Technology Matters
06:00 Creating Progression: From Awareness to Action
09:01 Personal Experiences with AI Change
12:00 Recognizing Busine…
-
AI Agents and Real Estate Agents - How Andrew Reville Is Using AI to Transform Real Estate // REPOST
17 februari 2026 · 57 min
AI is transforming the real estate industry — but what does that really mean for agents on the ground? In this episode of Beginner’s Guide to AI, host Dietmar Fischer sits down with Andrew Reville, founder of PeakAgent, to explore how artificial intelligence is reshaping the way agents work, market, and connect with clients. Lees meer
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
From the challenges agents face with lead generation to the opportunities of AI-powered tools, Andrew shares his journey from realtor to tech founder and reveals why the future of real estate belongs to those who embrace AI, not fear it.
🔑 Key Highlights
Andrew Reville’s journey from agent to AI entrepreneur
The real pain points of real estate agents — and how AI can fix them
AI tools for real estate agents 2025 and why they matter
How generative AI will transform real estate valuation and marketing
The future of property listings, client relationships, and agent workflows
💬 Quotes from the Episode
“We didn’t want to just build another AI tool — we wanted to solve real pain points for real estate agents.”
“The dream of being an agent often fades when the reality of chasing leads and endless follow-ups hits.”
“AI in real estate isn’t about replacing agents — it’s about giving them back the time and energy to love their job again.”
“I’ve spoken with dozens of agents, and the question I always ask is: what would make you fall back in love with being an agent?”
“Generative AI has the potential to completely change how we value, market, and sell properties.”
“The future of real estate belongs to agents who embrace AI, not fear it.”
⏱️ Chapters (experimental feature)
00:00 Welcome & Introduction of Andrew Reville
05:30 Andrew’s Journey: From Real Estate Agent to AI Entrepreneur
12:15 Discovering the Potential of… -
Data to Decisions: Boobesh Ramaurai Explains the Real Impact of AI // REPOST
13 februari 2026 · 38 min
Boobesh Ramaurai on the Future of Data and AI Lees meer
In this episode, I sit down with Boobesh Ramaurai of LatentView to explore the future of data and AI—from his early days in analytics to today’s transformative AI landscape. Boobesh shares how curiosity led him into the world of analytics back in 2006, why execution is more important than ideas, and how data-driven decision making is reshaping businesses across industries.
📧📧📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧📧📧
We dive into the real-world impact of AI, the challenges organizations face when adopting data strategies, and what it means to build human-centered AI with responsibility and ethics in mind.
If you want expert insights into AI in business, responsible AI implementation, and the future of data and AI, this conversation is a must-listen.
➡️ Key Highlights
Boobesh Ramaurai’s journey from analytics to AI leadership
How businesses can harness data-driven decision making with AI
Why execution beats ideas in the world of innovation
The growing importance of human-centered AI and responsibility
What’s next for the future of data and AI
🧾 Quotes from the Episode
“I always say that it is not the idea that really is valuable. It is the execution—that’s the magic and the secret sauce.” — Boobesh Ramaurai
“It was fascinating to see how people were using data and capturing data to answer business questions—that curiosity is what pulled me into AI.” — Boobesh Ramaurai
🔗 Where to find Boobesh Ramadurai
LinkedIn: linkedin.com/in/boobesh/
LatentView's Website: latentview.com
Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter: 💌 beginnersguide.nl
Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
Who Owns The Future?
7 februari 2026 · 1 uur
✨ Unlock a Future Where AI Inspires Leadership—not Replaces It Lees meer
In this episode, Dietmar Fischer speaks with Ja-Naé Duane and Steven Fisher, co-authors of the book SuperShifts, about what leadership really looks like in the age of artificial intelligence. Instead of framing AI as just another technology trend, the conversation explores AI leadership as a systemic and human challenge. Drawing on their work with global organizations and executives during and after the pandemic, Ja-Naé and Steven explain why the biggest shifts are not driven by tools, but by how leaders rethink decision-making, responsibility, and organizational design.
The episode traces the origins of SuperShifts back to Covid, when existing systems suddenly stopped working. Ja-Naé Duane shares insights from working with CEOs across Europe who were already using machine learning, but struggled to use AI to meaningfully support leadership decisions. Together, the guests unpack why AI-first leadership requires more than efficiency gains. It demands clear governance, ethical accountability, and a shared understanding of who owns outcomes when humans and machines collaborate.
A central theme of the conversation is human-AI collaboration and why leaders must move beyond optimizing outdated structures. Steven Fisher introduces a systems-thinking lens, arguing that organizations need new frameworks rather than incremental improvements. The discussion highlights how AI changes leadership roles, why trust and transparency matter more than ever, and how possibility itself becomes a strategic asset in the age of intelligence.
Key takeaways include practical insights into AI leadership, the importance of systems thinking, and why SuperShifts offers a roadmap for leading through uncertainty. This episode is for anyone who wants to understand how leadership must evolve as AI becomes embedded in decision-making, work, and organizational culture.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to…
-
Stop Prompting - Start Context Engineering
30 januari 2026 · 22 min
Most people think better AI results come from better prompts. This episode proves why that’s wrong. Lees meer
Professor GePhardT introduces Context Engineering, the missing skill that transforms AI from a confused parrot into a capable collaborator. Through relatable metaphors, real business examples, and a deliciously British cake analogy, you’ll learn how shaping an AI’s environment matters more than clever wording.
You’ll discover:
Why prompt engineering alone fails
How context helps AI understand intent
The difference between guessing and knowing
A real telecom case where context fixed customer support
How to apply context engineering in everyday AI use
📧💌📧
Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
Quotes from the Episode
“Prompt engineering is asking nicely. Context engineering is setting the stage.”
“Without context, AI is guessing. With context, it understands intent.”
“Context turns AI from a parrot into a collaborator.”
Chapters
00:00 Why Prompts Alone Are Not Enough
04:12 What Context Engineering Really Means
10:25 Understanding Intent Through Context
18:40 Context Engineering vs Prompt Engineering
25:10 Telco Case Study
35:20 The Cake Example
44:00 Final Takeaways
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
Music credit: “Modern Situations” by Unicorn Heads 🎵
Hosted on Acast. See acast.com/privacy for more information.
-
How Michael Sacca of LeadPages Is Using AI to Transform Landing Pages Forever // NEW AUDIO
25 januari 2026 · 47 min
Michael Sacca (Leadpages) on AI-powered landing pages, personalization, and the future of search 🚀 Lees meer
In this conversation, Michael Sacca shares how Leadpages is weaving AI landing page optimization into real marketing workflows - from personalization that actually moves the needle to what Answer Engine Optimization (AEO) means for search and conversions.
📧📧📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter!
📧📧📧
💡 Highlights
How AI landing page optimization boosts conversion rates with smarter on-page decisions 🤖
Practical ways to implement AI-driven personalization without overwhelming your stack
Why AEO (Answer Engine Optimization) matters as search shifts to assistants and LLMs 🔎
Navigating privacy & data considerations when deploying AI
The future roadmap for AI inside SaaS marketing tools 🚀
⚡Quotes from the Episode
"Can AI be an analyzer of customer data, a designer, or even a generator of entire assets? That’s what we’re experimenting with—expanding from just a landing page builder into a conversion optimization platform, with AI at the heart of that story.” - Michael Sacca
“If we can get you the answer faster, we can increase conversions.” - Michael Sacca
“One exciting use case is syncing ad creative with landing page optimization. Imagine designing a page, having ads produced, and feeding both into a system that constantly optimizes them together. That’s where we’re heading.” - Michael Sacca
🧾 Chapters
00:00 Introduction – Dietmar Fischer welcomes Michael Sacca from Leadpages
05:17 Making AI accessible for SMBs in landing page optimization
10:28 Building an AI-first landing page builder
15:37 The exciting shift in Martech and AI adoption
20:59 Exploring personalization and customer experience challenges
26:09 Conversational landing pages and chatbots in Beta
31:19 The cusp of transformation: AI’s role i…
-
Future of Leadership with AI: Lessons from CISCO's President Jeetu Patel // REPOST
23 januari 2026 · 59 min
In this episode of Beginner’s Guide to AI, host Dietmar Fischer sits down with Jeetu Patel, one of the most respected voices in enterprise technology, to explore leadership and innovation in the age of AI. Lees meer
From his early journey at Box to his executive leadership at Cisco, Jeetu shares a unique perspective on how leaders can adapt, inspire, and build AI-first organizations that thrive in times of rapid change.
📧📧📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter!
📧📧📧
Whether you’re an executive, innovator, or simply curious about the future of leadership with AI, this episode will challenge your thinking and spark new ideas about the future of work.
🔑 Episode Highlights
AI Leadership Strategies: How leaders can empower people, not replace them.
Innovation in the Age of AI: Opportunities and challenges for executives.
Building AI-First Organizations: Why starting today is critical for tomorrow.
Future of Work: Leadership lessons from tech executives who’ve lived digital transformation.
💬 Quotes from the Episode
“Leadership in the age of AI isn’t about replacing people — it’s about empowering them to innovate faster and smarter.” — Jeetu Patel
“If you’re not building your organization to be AI-first today, you’ll be playing catch-up tomorrow.” — Jeetu Patel
🎬 Podcast Chapters (experimental feature)
00:00 Introduction and Welcome with Jeetu Patel
00:21 Why Jeetu Patel Chose AI
02:56 Cisco, Infrastructure, and the AI Rush
09:02 AI Education and Adoption at Scale
16:18 How Jeetu Patel Personally Uses AI
26:46 Leadership Lessons and Transformation
28:12 Meta-Prompting and Asking Better Questions
42:15 Innovation and Leadership in the Age of AI
54:33 Personal Reflections and Closing Thoughts
🌐 Where to find Jeetu Patel
You can find Jeetu on LinkedIn
And, you can find Cisco at, yes, Cisco.com 😉
🎧 Tune in to get m…
-
Europe Is Falling Behind in AI: Fabian Westerheide’s Wake-Up Call for 2026
19 januari 2026 · 28 min
Europe has brilliant researchers, ambitious founders, and world-class industry. Yet the AI race is being dominated elsewhere. In this episode, Dietmar Fischer talks with Fabian Westerheide, founder of Rise of AI, about why Europe is struggling with AI sovereignty, infrastructure, and execution, and what entrepreneurs can do right now to stay competitive. Lees meer
Fabian explains how Rise of AI grew over a decade from early community meetups into a curated conference and ecosystem hub where Europe’s most relevant AI leaders meet. He also makes the case that Europe’s biggest strategic risk is dependency on American GPUs, hyperscalers, and cloud platforms, while policy, capital allocation, and digital administration move too slowly for exponential change.
You will learn what a GDPR compliant AI stack can look like, why EU AI Act compliant implementation is becoming a competitive advantage, and why Europe’s research-to-startup transfer remains painfully inefficient. This is a practical and provocative conversation about AI infrastructure, venture capital incentives, European-first tech choices, and the mindset shift required in 2026: stop waiting, start building.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
Chapters
00:00 Welcome and why Fabian chose AI
01:55 Rise of AI turns 10 years: from meetups to a curated conference
03:19 Europe’s biggest AI challenge: dependency on US cloud and GPUs
10:05 Optimists in a dystopian world: why Rise of AI exists
11:22 European AI champions and the sovereignty problem
16:45 Why Europe struggles to turn research into AI companies
19:40 2026 outlook: stop waiting, take responsibility, use AI
23:00 Where to find Fabian and Rise of AI
About Dietmar Fischer
Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or …
-
Hasta La Vista, Humans? Why Hollywood Keeps Fuelling Our AI Fears // REPOST
17 januari 2026 · 17 min
Hollywood loves a good AI apocalypse—but how likely is a real-life Skynet scenario? In today's episode of A Beginner's Guide to AI, Professor GePhardT takes you on an entertaining yet eye-opening journey into Artificial General Intelligence (AGI). Lees meer
From understanding why films like The Terminator shape our deepest AI anxieties, to real-world safety measures inspired by these sci-fi nightmares, this episode breaks down exactly how humanity can steer advanced AI towards a beneficial future—rather than a robotic uprising.
Expect to hear why a smart kitchen assistant could unintentionally cause chaos, how fictional tales are influencing actual AI research, and what top thinkers like Elon Musk and Stephen Hawking have warned us about. It's a conversation packed with fascinating examples, practical tips, and an honest look at how we're preparing for AGI today.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice.
Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
Is Your Data More Valuable Than Your Vote? // REPOST
15 januari 2026 · 1 uur 3 min
In this episode, Yvette Schmitter unpacks the uncomfortable truth about modern AI: how convenience turns citizens into data points. Lees meer
We go deep on AI privacy, data ethics, and the industry incentives that drive data brokers, invasive biometrics, and “consent theater” in Terms of Service.
Yvette blends engineering chops with no-nonsense clarity to show what needs to change—and what you can do today.
📧📧📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter!
📧📧📧
Key highlights:
AI privacy explained in real-world terms—what you trade away when you click Accept
Data brokers 101: how your info is collected, bundled, and resold
The “action figure” experiment: a vivid story about bias and representation in AI imagery
Biometrics and identity: faces, voice prints, and why “frictionless” can be risky
Regulatory theater vs. meaningful guardrails—and where pro-innovation actually fits
Banks, voice recognition, and moving money: the security-privacy tradeoff
Quotes from the Episode
“Pro-innovation. I love innovation. I’m anti-bullshit.”
“Since we don’t buy votes, why would we buy people’s data?”
Chapters
00:00 Introductions and Setup
03:27 The Consent Illusion & Data Brokers: Turning People into Data Points
04:40 The “Action Figure” AI Fail & Biometrics and Identity
12:59 Terms of Service – Read Before You Play
19:59 Regulatory Theater and Real-World Harms
24:03 Pro-Innovation vs Guardrails – Finding the Line
45:59 Banks, Voice Recognition, and Moving Money
56:49 Final Thoughts – Sensible Guardrails for AI StartupsWhere to find Yvette Schmitter
You can contact her via LinkedIn, or the Fusion Collective website 🚀post on being “Huang’d” by ChatGPT when she asked it to turn her into a “Cloud Jedi." Also a recent Substack article that takes it a step further.
- EU AI Code of Conduct: 26 companies signed, META did not
- Layoff data,…
-
The Cluetrain Manifesto predicted today’s AI mess in 1999
11 januari 2026 · 32 min
In this episode of A Beginner’s Guide to AI, Professor GePhardT takes The Cluetrain Manifesto’s famous idea markets are conversations and stress tests it in the age of generative AI. In 1999, Cluetrain demanded that brands stop sounding like machines and start speaking with a human voice. Today, AI can generate that human sounding voice on demand, which creates a new problem: it becomes easy to sound authentic while becoming less trustworthy. Lees meer
You will learn why conversational marketing is not about posting more, replying faster, or writing prettier copy. It is about credibility in public. This episode breaks down the difference between tone and truth, why AI customer service chatbots can create brand risk when they guess, and how to use human in the loop design so your AI supports real accountability instead of manufacturing polite noise.
We also unpack a real cautionary case: Moffatt v Air Canada. A website chatbot provided incorrect guidance about bereavement fares, the customer relied on it, and compensation was ordered. It is a sharp reminder that when AI speaks on your website, customers experience it as the company speaking.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
💬 Quotes from the Episode
“AI makes language cheap, and when language is cheap, trust becomes the scarce ingredient.”
“Responsiveness can masquerade as empathy.”
“When AI speaks in your name, its answers become part of your promises, not just part of your tone.”
“You can talk beautifully about cake while still serving bad cake.”
“A chatbot is not a neutral tool. It is a brand voice.”
“In 1999 the challenge was speaking human. Now the challenge is acting human.” 🎧
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
🕒 Chapters
00:00 Why Cluetrain matters again in the AI era
04:10 Ma…
-
AI Meets In-House Excellence with Kasper Sierslev: Unleashing Marketing Operations // REPOST
9 januari 2026 · 51 min
How is artificial intelligence transforming the way we approach marketing? In this episode, we dive deep with Kasper Sierslev, founder of Zite, to uncover the real-world opportunities and challenges of AI in marketing. Lees meer
Discover how forward-thinking brands are leveraging AI tools to spark creativity, streamline campaigns, and stay ahead in a rapidly evolving digital landscape.
📧💌📧
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
📧💌📧
💡 Key Highlights:
Kasper Sierslev shares his journey and unique perspective on embedding AI into marketing strategies
Top AI tools for marketers and how to use them for impactful results
The importance of a human-centric approach to AI in marketing
Insights on the future of AI and how brands can stay ahead
Actionable advice for marketers looking to adopt AI today
🧾 Quotes from the Episode:
“It’s not super easy sitting on the other side doing creative work and just saying, ‘We made this great film, look how funny it is.’ That’s gut feeling, it’s opinions. For almost 20 years now, creativity and branding has lost a lot.”
- Kasper Sierslev
“I think it’s super easy to do something now, but we don’t really have the big AI tech companies here yet. Maybe that’s because of copyright laws or the lawsuits happening at the moment. Still, we can build on top of the bigger models and protect what we’re doing as it goes back into the loop.”
Kasper Sierslev
📂 Chapters (experimental feature):
00:00 Introduction & Kasper Sierslev's Background
04:00 AI Tools for Marketers
08:00 Creativity, Branding & AI
15:00 Human-Centric AI in Marketing
25:00 Real-World AI Marketing Case Studies
33:00 Challenges & Cultural Shifts in Advertising
41:00 The Future of AI in Marketing
50:00 Practical Advice for Marketers
🔗 Where to find Kasper Sierslev:
L…
-
Why AI Could Become the Next Big Economic Divider
5 januari 2026 · 33 min
The Rising Cost of Intelligence: What Expensive AI Means for the World Lees meer
Artificial intelligence is reshaping how we work, learn, and create. But as frontier AI models become more capable, their costs are rising faster than ever. This episode of A Beginner’s Guide to AI dives into the global AI divide, exploring how price, compute, infrastructure, and access are quietly determining who benefits from AI and who risks falling behind.
Listeners will discover why advanced AI models cost so much to train and run, how high prices can concentrate innovation in wealthy institutions, and why access to strong models is becoming a new form of economic and educational inequality. Through vivid examples and clear explanations, Professor Gephardt guides listeners through the real-world consequences of expensive AI and what can still be done to ensure a more inclusive future.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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:
“When intelligence becomes expensive, opportunity becomes exclusive.”
“A great model is useless if only a handful of people can afford to use it.”
“If AI becomes a privilege, innovation shrinks to the size of the elite who control it.”
Chapters
00:00 The Hidden Price of Intelligence
04:12 Why Cutting-Edge AI Is So Expensive
12:47 How AI Costs Create a Global Divide
21:30 Real-World Case Studies on AI Access
32:18 Practical Ways to Narrow the AI Gap
39:42 Final Thoughts and Key Lessons
Music credit: "Modern Situations" by Unicorn Heads 🎧✨
Hosted on Acast. See acast.com/privacy for more information.
-
Context Rot Explained: Why AI Slowly Drifts Away From Reality
3 januari 2026 · 27 min
Context rot is one of the most underestimated risks in artificial intelligence today. In this episode of A Beginner’s Guide to AI, we explore how AI systems trained on static data slowly drift away from reality while continuing to sound confident, helpful, and persuasive. Lees meer
You’ll learn why large language models struggle with time, why feeding more information into AI can backfire, and how outdated knowledge quietly sabotages decisions in marketing and business. This episode explains the difference between timeless principles and perishable insights, and why trusting AI without checking freshness can cost credibility and money.
Key topics include context rot in AI, outdated training data, long context window limitations, AI decision-making risks, and practical strategies like retrieval-augmented generation and smarter context engineering.
📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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
“Fluency is not accuracy, even though our brains desperately want it to be.”
“More context doesn’t make AI smarter, it often makes it confused.”
“AI confidence is cheap. Verification is expensive.”
Chapters
00:00 Context Rot and the Illusion of Smart AI
05:42 Why AI Knowledge Freezes in Time
12:18 When More Context Makes AI Worse
19:47 Business and Marketing Risks of Context Rot
27:05 How to Reduce Context Rot in Practice
34:40 What Humans Must Do Better Than AI
Music credit: "Modern Situations" by Unicorn Heads 🎧
Hosted on Acast. See acast.com/privacy for more information.
-
Machine Learning: How AI Really Learns
1 januari 2026 · 26 min
Machine learning is everywhere, yet rarely understood. In this episode of A Beginner’s Guide to AI, we strip away the hype and explain how machine learning actually works, why it’s so powerful, and where it quietly goes wrong. Lees meer
You’ll learn how machines are trained on data rather than rules, why predictions are not understanding, and how real-world systems can produce unfair outcomes even when they look accurate. A real healthcare case shows how a cost-based algorithm systematically underestimated medical need, revealing the hidden dangers of proxy metrics.
This episode covers machine learning basics, ethical AI, algorithmic bias, fairness, and transparency in a way that is accessible to beginners and useful for professionals.
📧💌📧
Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
Quotes from the Episode
“Machine learning gives you what you measure, not what you value.”
“The algorithm didn’t invent bias. It learned it efficiently.”
“A perfect prediction of the wrong thing is still failure.”
Chapters
00:00 Machine Learning Without the Myth
04:12 How Machines Learn From Data
10:45 Types of Machine Learning
18:30 The Cake Example
26:05 Healthcare Case Study
36:40 Ethics, Bias, and Proxies
45:50 Final Takeaways
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
Hosted on Acast. See acast.com/privacy for more information.
-
What The Heck Is Inference? That's Where The Magic Happens 🚀
31 december 2025 · 18 min
REPOST due to low podcast listener activity - if you listen now, you are the exception 😉 Lees meer
Ever wondered how Netflix knows exactly what you'll binge next or how big brands like Delta Air Lines turn multimillion-dollar sponsorships into concrete sales?
Welcome back to A Beginner's Guide to AI, where today we're uncovering the fascinating world of AI inference—the secret sauce behind machine-made predictions.
--- --- ---
A word from our Sponsor:
Sensay creates AI-powered digital replicas to preserve and share individual and organizational knowledge, turning it into scalable, sustainable, and autonomous wisdom.
Visit Sensay at Sensay.io
And listen to Dan, Sensay's CEO and founder, in this episode!
--- --- ---
Professor Gephardt, with his usual charm and wit, breaks down precisely how AI learns from past data to tackle new, unseen scenarios, turning educated guesses into powerful, profitable insights.
Expect engaging analogies—from fruit-loving robots to cake-tasting mysteries—and real-life case studies, like Delta’s remarkable $30 million Olympic success story powered by AI. Plus, practical tips on how to spot AI inference in your daily digital life and even how to experiment with your own AI models!
Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!
This podcast was generated with the help of ChatGPT and Mistral. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice.
Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
Why AI Needs a Million Cat Photos and You Don’t
28 december 2025 · 18 min
REPOST DUE TO WRONG AUDIO TRACK. Changed it, but many may have missed the right episode. Lees meer
Is intelligence something we’re born with, or do we learn everything from scratch? That’s not just a question for philosophers - it’s at the core of artificial intelligence today.
In this episode ofA Beginner’s Guide to AI, we explore the great debate between nativism and deep learning.
Nativism suggests that some knowledge is built-in, like the way babies instinctively pick up language. Deep learning, on the other hand, argues that intelligence comes purely from experience - AI models don’t start with any understanding; they learn everything from massive amounts of data.
We break down how this plays out in real AI systems, from AlphaZero teaching itself to play chess to ChatGPTGPT mimicking human language without actually understanding it. And, of course, we use cake to make it all crystal clear.
Tune in to get my thoughts, and don’t forget tosubscribe to our Newsletter at beginnersguide.nl
This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it’s read by an AI voice.
Music credit:"Modern Situations" by Unicorn Heads.
Hosted on Acast. See acast.com/privacy for more information.
-
Most “AI” Tools Aren’t Intelligent at All. They’re Just Automated Workflows
26 december 2025 · 18 min
AI vs. Automation: Why Repetitive Marketing is Failing Lees meer
REPOST due to low podcast listener activity - if you listen now, you are the exception 😉
Ever received the same email twice—word for word, from two different people? That’s not AI, that’s bad automation. And it happens way more often than it should.
In this episode, we break down the key difference between automation and artificial intelligence—why one just follows rules while the other actually thinks. With a real-world case study straight from my inbox, we’ll expose how businesses are unknowingly damaging their credibility with mindless automation and what they could do differently with AI.
If you’re running digital marketing, email campaigns, or even PR outreach, this is a must-listen. Stop the spam, start thinking smarter.
Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!
This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice.
Music credit: "Modern Situations" by Unicorn Heads.
Hosted on Acast. See acast.com/privacy for more information.
-
🔮Predictive AI: Your Invisible Fortune-Teller // REPOST
21 december 2025 · 18 min
Ever wonder how Netflix knows your next binge-watch, or why your bank spots fraud before you do? In this lively episode of A Beginner’s Guide to AI, Professor GePhardT lifts the lid on predictive AI—the hidden tech wizard quietly shaping our daily lives. Lees meer
From forecasting retail trends at Target to critical healthcare interventions, predictive AI isn't just predicting the future; it's already shaping it. But there’s a catch: with great power comes the thorny challenge of bias and ethics.
Join the fun as we untangle how predictive AI differs from generative AI, explore its surprising influence in everyday situations (cakes included!), and sharpen our own predictive skills through hands-on activities with Google Trends.
Plus, a reality check from AI pioneer Pedro Domingos reminds us why understanding this tech matters—because computers might already run more than we'd like to admit.
Tune in to get my thoughts and all the episodes: don't forget to subscribe to our Newsletter 💌
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice from ElevenLabs.
Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
The Sandman Warned Us About AI - 200 Years Ago!
19 december 2025 · 24 min
Artificial intelligence has become incredibly convincing. It talks smoothly, reacts instantly, and often feels surprisingly human. In this episode of A Beginner’s Guide to AI, Prof. GepHardT explores why that feeling can be misleading — and why it matters. Lees meer
Drawing on literature, psychology, and real-world AI design, the episode explains how modern AI systems simulate intelligence without understanding, why humans instinctively project emotions onto machines, and where ethical risks begin when appearance replaces clarity.
This is an accessible, practical episode for anyone who wants to understand AI without getting lost in jargon or hype.
📧💌📧
Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧Chapters00:00 When AI Feels Alive
04:12 The Olympia Effect and Human Projection
10:05 What AI Actually Does and What It Doesn’t
18:40 Why Humans Trust Machines
26:30 Ethical Risks of Emotional AI
34:10 How to Stay Clear-Headed Around AIQuotes from the Episode
“AI doesn’t understand you — it performs understanding.”
“The danger isn’t smart machines, it’s trusting fluent ones.”
“When intelligence looks alive, that’s when it needs the most scrutiny.”
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
🎧 Music credit: “Modern Situations” by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.
-
Data, Models, Compute: Understanding the Triangle That Drives AI
13 december 2025 · 19 min
Artificial intelligence breakthroughs might appear magical from the outside, but underneath lies a predictable and surprisingly elegant structure. Lees meer
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
📧💌📧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 TakeawaysMusic credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. S…
-
OpenAI's Matt Weaver on GPT-5, AI Literacy, and Adoption Strategies // REPOST
10 december 2025 · 47 min
🚀 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. Lees meer
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 resource…
-
What Is Biocomputing? Fred Jordan on AI’s New Frontier // REPOST
6 december 2025 · 51 min
Step into the future of artificial intelligence with Fred Jordan as he introduces “Biocomputing”—the next evolutionary leap for AI. Lees meer
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!
📧💌📧
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 StepsWhere 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
Hosted on Acast. See acast.com/privacy for more information.
-
AI Is Writing Books Faster Than You Can Make Coffee: The Rise of AI Slop
30 november 2025 · 24 min
📖 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. Lees meerWe 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
Hosted on Acast. See acast.com/privacy for more information.
-
The Terminator Movies: From Sci-Fi Nightmare to AI Safety Blueprint // REPOST
28 november 2025 · 17 min
// 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 😂 Lees meer
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"
Hosted on Acast. See acast.com/privacy for more information.
-
Why ChatGPT Sounds Generic - It’s Addicted to Being Average
21 november 2025 · 20 min
AI’s Biggest Secret: It’s Addicted to Being Average Lees meer
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:
“AI doesn’t need to be smarter. It needs to be braver.”
“The tragedy of the average is that it sounds right but feels wrong.”
“A bold sentence is an act of rebellion against probability.”
Where to find Professor Gephardt:
🌐 We help you figure out your AI game: argoberlin.comMusic credit: “Modern Situations” by Unicorn Heads 🎵
Hosted on Acast. See acast.com/privacy for more information.
-
The Future of Coaching: How AI Is Changing Coaching // REPOST
19 november 2025 · 50 min
AI tools for business coaching are transforming how leaders and professionals unlock performance and personal growth. Lees meer
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: ww… -
Mastering AI After 40: Greg Steele’s Essential Tips for GenX // REPOST
17 november 2025 · 46 min
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! Lees meer
📧💌📧
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 TakeawaysGet 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
Hosted on Acast. See acast.com/privacy for more information.
-
Why You and AI Both Make the Same Dumb Mistakes
15 november 2025 · 17 min
Fast Minds, Slow Machines: Daniel Kahneman’s Lessons for AI Lees meer
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.
📧💌📧
Tune in to get my thoughts and all episodes - and don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
💡 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 🎧
Hosted on Acast. See acast.com/privacy for more information.
-
Stop Working Harder - Start Working Smarter! Peter Swimm on Why AI Should Free Your Time, Not Fill It // REPOST
13 november 2025 · 46 min
Discover How Startups Are Winning with AI: An Interview with Peter Swimm Lees meer
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.
📧💌📧
Tune in to get my thoughts and all new episodes in your mailboxk: don’t forget to subscribe to our Newsletter!
📧💌📧
🚀 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
Hosted on Acast. See acast.com/privacy for more information.
-
The Secret to Never Taking Notes Again (and Still Sound Smarter in Meetings) // REPOST
9 november 2025 · 46 min
Step into the future of meeting productivity with Fireflies AI Notetaker and its founder, Krish Ramineni. Lees meer
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.
📧💌📧
Tune in to get my thoughts and all episodes — don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
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 Firefl…
-
AI Isn’t About Replacing People But Helping Them Do More - Believe Jack Kennedy & David Daneshgar // REPOST
6 november 2025 · 59 min
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. Lees meer
--- --- ---
"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
--- --- ---
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
📧💌📧
Tune in to get my thoughts and all episodes — don’t forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧
Chapters:
00:00 Welcome, Introd…