When does AI stop helping and start hustling you? In this episode of A Beginner’s Guide to AI, Professor Gephardt unpacks the FTC’s new “Luring Test”—a standard that exposes how algorithms can manipulate trust, exploit psychological shortcuts, and push people into harmful choices. From robot lawyers that weren’t really lawyers to AI tools generating fake reviews and e-commerce empires built on empty promises, we explore how regulators are cracking down on deceptive AI practices and dark patterns in AI design.

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As the FTC’s Operation AI Comply shows, slapping “AI-powered” on a product doesn’t give anyone a free pass to hype or mislead. The real challenge is drawing the line between AI personalisation and AI manipulation.

Key thought to keep in mind: “If an AI assistant would give a different recommendation were it truly acting in the user’s best interest—and the only reason it doesn’t is your revenue model—you’re not personalising; you’re luring.”

Whether you’re a marketer, entrepreneur, or curious listener, this episode will sharpen your eye for spotting when AI is serving you—and when it’s working you over.

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Music credit: "Modern Situations" by Unicorn Heads

What happens when a physics professor dives headfirst into the world of AI—and also writes space operas on the side?

In this episode, we talk with Chris Kulp, professor at Lycoming College and award-winning science fiction author, about the fascinating collision of science, storytelling, and machine learning.

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📧💌📧

From teaching physics with Gemini to drafting novels with a little help from generative AI, Chris shares how these tools reshape both the classroom and the creative process.

We explore everything from AI solving real physics problems (scarily well), to why students still need to understand the fundamentals.

Chris also breaks down how he uses AI to “fail faster” when modeling complex systems, and how fiction can help us ask deeper ethical questions about our AI future.

Bonus: we get a sneak peek into his new book Lost Origins—featuring androids, moral dilemmas, and a galaxy where Earth is just a myth.

You can find Chris Kulp online at chriskulp.com, and follow him on social media:

• Instagram

• Facebook

• LinkedIn

His latest book, Lost Origins, is available wherever books are sold—including, obviously, Amazon! - and as a professionally produced audiobook 😎

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Music credit: "Modern Situations" by Unicorn Heads

In this episode of Beginner’s Guide to AI, Matt Hicks, CEO of Red Hat, unpacks why the future of business strategy in AI mirrors the age of the railroads. Just as railroads transformed industries, AI is laying down the tracks for the next wave of innovation — and businesses must decide whether to board or be left behind.

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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 Business Patterns in AI Transformation
15:01 Patterns, Fears, and Early Adoption Signals
18:01 Fear vs Opportunity: Why People Hesitate on AI
21:00 Balancing Experimentation with Responsibility
27:00 The Maturity Curve of AI Adoption
30:00 When Processes Prevail Over Innovation
42:00 AI and the Software Industry’s Perspective
45:00 Looking Ahead: Strategy and the Future of AI

🌐 Where to find Matt Hicks

• LinkedIn: Matt Hicks

• Red Hat: redhat.com

  
  

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

🎵 Music credit: "Modern Situations" by Unicorn Heads

Lisa Weaver-Lambert returns to unpack the trillion-dollar surge in digital infrastructure—and turns the idea of “boring” data centers on its head.

She breaks down why global private infrastructure now tops $1.3 trillion, how Europe rockets from 6 % to 30 % of data-center investment, and why 15-to-20-year hyperscale leases create gold-rush conditions for real-estate giants like Blackstone.

We dive into power-hungry GPUs, three-year hardware refresh cycles, and the paradox of using AI to design the very facilities that run AI.

From modular builds in Norway that heat greenhouses to Sam Altman’s audacious $500 billion “Stargate” project, this episode is your fast-moving guide to where money, megawatts, and machine learning collide.

Want to know more? Connect to Lisa on LinkedIn 🚀

And get her book THE AI VALUE PLAYBOOK with 20% off on print and digital with using my code: 20DIETMAR

You can order the book here at Packt (or whereever you buy your books - but then without 20% rebate 😉)

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Music credit: "Modern Situations" by Unicorn Heads

In this episode, we dive deep into the world of AI with Lisa Weaver-Lambert, author of The AI Value Playbook and a veteran in leveraging technology for impactful solutions.

Lisa shares her incredible journey from financial services to global boardrooms, offering insights into AI adoption, decision-making augmentation, and overcoming challenges in traditional and cloud-native businesses.

📧💌📧

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

📧💌📧

She breaks down how leaders can bridge the gap between technical teams and business goals, drawing on interviews with over 30 leaders from diverse industries.

Whether you're curious about AI literacy, hybrid workforces, or practical use cases, this episode delivers actionable takeaways for anyone looking to navigate the AI revolution.

If you want to know more about Lisa, you can connect with her on LinkedIn.

And take a look at her book, if you want to go indepth on the topic: The AI Value Playbook: How to make AI work in the real world

___

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

Music credit: "Modern Situations" by Unicorn Heads

Step into this episode as Dev Bharti—consultant, author of Demystifying AI Agents and lifelong tech tinkerer—unpacks what an “AI agent” really means.

Dev turns an unexpected metaphor (🐜 ants!) into a crystal-clear framework for building agentic networks that cooperate, adapt and learn.

You hear why memory and reinforcement matter, where the human-in-the-loop fits, and how a triage bot already transforms insurance claims without pushing staff to the sidelines.

📧💌📧

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

📧💌📧

Dev also shares the exact workflow that turns scattered LinkedIn posts into a 210-page playbook, the biggest adoption blockers he sees inside enterprises, and his frank answer to the burning question: “Will AI take my job?”

You can connect to Dev on LinkedIn - and don't forget to get his book, "Demystifying AI Agents" on Amazon!!!

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

Want to get in contact? Write me an email: [email protected]

Music credit: "Modern Situations" by Unicorn Heads

Austin Vance joins the show and we plunge straight into how AI reshapes real work—no hype, just hard-won lessons.

Austin breaks down why GPT-3 flipped a switch for every software team, how “pair-programming with a model” doubles developer velocity, and why smart leaders start with data - not robots - when rolling out AI.

📧💌📧

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

📧💌📧

We hear vivid stories: a restaurant chain searching for its first practical use-case, an automaker wrangling thousands of coders, and a soon-to-launch AI therapist app that knows when to hand the mic back to a human.

From killing low-value data entry to turning an entire slide-deck archive into a conversational expert, Austin shows how businesses turn knowledge chaos into profit.

We even get his trick for measuring a broken camper-window with nothing but a smartphone photo and ChatGPT.

Plus: pragmatic takes on governance, ROI in under 90 days, and whether the Matrix scenario is worth losing sleep over.

🔗 You can catch Austin on LinkedIn or X.com:

Or go to to Focused.io to see how they can help you 🚀

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

Want to get in contact? Write me an email: [email protected]

Music credit: “Modern Situations” by Unicorn Heads

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.

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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 AI in Real Estate
19:40 Building PeakAgent: Solving Pain Points for Agents
27:50 The Harsh Realities of Being a Real Estate Agent
36:20 How AI Can Help Agents Fall Back in Love with Their Work
44:45 Generative AI and the Future of Property Valuation
52:10 AI Marketing Strategies for Real Estate in 2025
59:00 Final Thoughts and Andrew’s Advice for Agents

🌐 Where to find Andrew Reville

🔗 Website: PeakAgentAI.com

🔗 LinkedIn: Andrew Reville

📸 IG: @peakagentai

🧑‍🦰 Personal IG: @andrew_reville

🚀 Paper&Purpose - help Andrew doing good deeds: www.paperandpurpose.me

✨ Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!
🎶 Music credit: "Modern Situations" by Unicorn Heads

In this episode, Leslie Grandy - film-industry veteran turned AI thought-leader - drops straight into the studio and shows how to turn generative AI into a fearless creative partner.

She walks you through her “Creative Velocity” framework and explains why contradictory thinking is the antidote to prompt-engineering paralysis.

We unpack her days on Terminator 2, debate whether Skynet panic is overblown, and discover how AI helped her write (and sanity-check) her new book.

Expect real-world examples for entrepreneurs, product managers, and even sales teams—plus a candid chat on keeping bias in check and boosting confidence when the blank page stares back.

🚀 You can connect to Leslie Grandy on LinkedIn!

📖 And you should definitely get her book "Creative Velocity"

💌 Tune in to get my thoughts, don't forget to subscribe to our Newsletter!

Want to get in contact? Write me an email: [email protected]

Music credit: “Modern Situations” by Unicorn Heads

What happens when a curious finance guy joins PayPal and stumbles into the world of machine learning? You get Mike Todasco — someone who’s been riding the AI wave before it made headlines. In this episode, Mike shares why he thinks most businesses are already behind on AI, how teachers can use it to deeply personalize learning, and what skills will still matter even when the bots take over the boring stuff. From robot lawnmowers to AI-powered bedtime quizzes for kids, this conversation is full of practical insight and future-facing optimism.

We also talk about the myth of the Terminator scenario, why software engineers are feeling the heat first, and how AI can help you learn German while driving your kid to school.

Connect to Mike on LinkedIn and don't forget to get his newsletter on LinkedIn!

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Want to get in contact? Write me an email: [email protected]

Music credit: "Modern Situations" by Unicorn Heads