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

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

What you’ll learn

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

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Quotes from the Episode

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

Chapters

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

02:59 AI as a partner, not a tool

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

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

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

12:46 Redesigning workflows before layering AI

14:44 Psychological safety and daily experiments

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

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

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

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

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

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

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

37:58 Where to find Monica and Flipwork

Where to find Monica Marquez

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

• 
  

About Dietmar Fischer

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

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

Music credit: “Modern Situations” by Unicorn Heads 🎵

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

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

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

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

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

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Quotes from the Episode

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

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

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

CHAPTERS

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

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

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

06:25 How Voice AI Actually Works Behind the Scenes

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

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

13:33 Legal Hurdles and Privacy in Voice AI

15:50 Why Healthcare and Insurance Are Early Adopters

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

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

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

26:55 Can Small Businesses Afford Voice AI Yet?

28:48 The AI Startup Boom and Smarter Investment Strategies

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

35:12 Why Young Professionals Must Learn AI Tools Now

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

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

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

Where to Find Alex Levin

🌐 Website: www.regal.io

🧑🏻 LinkedIn: Alex Levin

🎙 About Dietmar Fischer:

Dietmar is a podcaster, AI marketer, and economist from Berlin.

If you want to get your AI or your digital marketing going - just contact him at Argoberlin.com!

🎵 Music credit: “Modern Situations” by Unicorn Heads

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In this episode, Dietmar Fischer talks with Tallulah Le Merle, a humanist technologist and investor, about how to think clearly in the age of AI without falling into doomsday panic or blind optimism. You’ll get a practical mental model of the AI stack, a grounded take on AI alignment risk, and a refreshing argument for hope as a strategic posture that shapes what gets built. 🤖🌍🧠

What you’ll learn

✅ Why fear based AI narratives can freeze action and distort decisions

✅ How the future of work may shift from routine cognitive tasks to deeper human capabilities

✅ The overlooked forms of intelligence AI cannot easily replace somatic, ecological, communal

✅ How AI investing works in early stage startups and what responsible due diligence looks like

✅ The AI stack explained simply infrastructure, model layer, application layer

✅ What agentic AI means today and where it is heading

📧💌📧

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 Meet Tallulah Le Merle and why “hope” is her AI stance

03:52 Fear narratives vs hope as a practical posture

08:06 Disruptive to what Rethinking modern work and human thriving

10:14 Jobs replaced vs jobs created and the transition problem

12:36 What’s left for humans Somatic ecological and communal intelligence

18:47 The humanist builder and why ethics should unlock capital

28:55 The AI stack explained infrastructure model layer application layer

32:30 Why apps and agents are the near-term investment boom

40:32 The alignment problem Terminator narratives and the futures we build

46:12 Fantasy, imagination, and why it matters for tech trajectories

49:36 Where to find Tallulah and the upcoming book

Quotes from the Episode

💬 “AI is a tool. And like a hammer. Hammer, you could use it to build a house or as a murder weapon.”

💬 “Hope is this sliver of openness to the possibility that something good could happen.”

💬 “Disruptive to what Actually, a lot of the way we live and work and operate as humans today is dystopian.”

💬 “It forces us to ask these existential questions, like, what is a human”

💬 “I actually think it should be a prerequisite for unlocking capital.”

💬 “We are so early We’re in inning one of a nine inning baseball game.”

Where to find Tallulah

🔗 LinkedIn: linkedin.com/in/tallulahlemerle

🔗 Website: tallulahlemerle.com

🔗 Updates on her book: don't forget to follow her on LinkedIn 🚀

Music credit: "Modern Situations" by Unicorn Heads

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🎙️ 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.

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 from the Episode

• “After 90 seconds we’ve got a great rapport built. Boom, transferred over to a licensed agent.”
• “The voice isn’t the unique selling proposition. It’s the orchestration of the whole stuff.”
• “Nobody needs to worry about the Terminator scenario, unless we humans build Terminator.”

Where to find the Guest

🌐 Thoughtly: thoughtly.com

🔗 Torrey Leonard on LinkedIn: linkedin.com/in/torrey-leonard/

Music credit: “Modern Situations” by Unicorn Heads

Hosted on Acast. See acast.com/privacy for more information.

🎧 What makes us human in the age of AI?

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/

• "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."

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.

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 😉

📧💌📧

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 might not be hacked. It might be persuaded.

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.

Artificial intelligence is often framed as a battle between humans and machines. But what if that story misses the real point?

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 Are Natural Born Cyborgs

26:50 The AlphaGo Story and Move 37

38:15 AI as a Creative Thinking Partner

49:30 The Future of Hybrid Intelligence

Music credit: Modern Situations by Unicorn Heads

Hosted on Acast. See acast.com/privacy for more information.