A Beginner's Guide to AI

• The Work Slop Epidemic: Monica Marquez Explains How to Fix AI at Work

  Human-Centered AI at Work with Monica Marquez: A Practical Adoption PlaybookIf 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 learnShift 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.”Chapters00:00 Welcome, who is Monica Marquez and what is Flipwork02:59 AI as a partner, not a tool05:34 Practical example: recruiting, prompts, and human judgment07:02 Generational beliefs, “artificial intern,” and mindset shifts11:24 From effort to impact: redefining success with AI12:46 Redesigning workflows before layering AI14:44 Psychological safety and daily experiments16:55 Leaders model usage, run side-by-side experiments18:37 Avoiding “work slop” and building authentic intelligence21:44 Doing more of your “zone of genius” with AI24:39 The one-workflow-per-month rule29:25 Industry adoption patterns, lessons from Blockbuster vs Netflix33:12 Personal AI use cases and voice-based workflows36:32 Matrix, Terminator, and Monica’s real fear: disengaged humans37:58 Where to find Monica and FlipworkWhere to find Monica MarquezHer Agency: FlipworkMonica’s site: themonicamarquez.comNewsletter: Ay Ay Ay, AIAbout Dietmar FischerHost 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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• Why ChatGPT Sounds Generic - It’s Addicted to Being Average

  AI’s Biggest Secret: It’s Addicted to Being AverageLarge 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 outputsHow averaging erases nuance in AIReal-world evidence of AI’s blind spots in reasoningTechniques 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 🎵

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• The Future of Coaching: How AI Is Changing Coaching // REPOST

  AI tools for business coaching are transforming how leaders and professionals unlock performance and personal growth. In this episode of Beginner’s Guide to AI, Lisa Turner of CETfreedom joins Dietmar Fischer to share real-world strategies and 40+ actionable AI tools that help coaches, entrepreneurs, and business leaders boost results. 📧💌📧Ready to take your business to the next level? Subscribe for more AI strategies, share your questions in the comments, and visit our website for free resources. Don’t miss exclusive content in our newsletter—sign up today: beginnersguide.nl📧💌📧Learn how practical AI can revolutionize business processes, streamline leadership, and enhance productivity.Whether you want to overcome procrastination, empower your team, or drive personal development, this episode delivers proven approaches and expert insights.💡 Key takeaways:• Learn top AI tools for business coaching• Discover AI techniques to beat imposter syndrome• Explore AI strategies for leadership development• Find practical uses for AI in personal growth• See real examples of AI-ified coaching processes🧾 Chapters (experimental):00:00 – Welcome & Guest Introduction02:30 – Why AI? Lisa’s Journey from Engineering to Coaching07:10 – First Steps with AI: Overcoming Skepticism12:00 – Building 40+ AI Tools for Coaches18:45 – Busting Procrastination & Limiting Beliefs with AI24:20 – Empowering Leadership & Journaling via AI30:00 – The “Doctor Who” Mindset for Innovation35:15 – 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/@cetfreedomInstagram: www.instagram.com/cetfreedomFacebook: www.facebook.com/cetfreedomLinkedIn: www.linkedin.com/company/cetfreedom---🎵 Music credit: "Modern Situations" by Unicorn Heads

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• Mastering AI After 40: Greg Steele’s Essential Tips for GenX // REPOST

  Are you GenX and curious about AI, but not sure where to start? In this episode, Greg Steele breaks down how Generation X can confidently embrace artificial intelligence—no tech background required!📧💌📧Tune in to get my thoughts and all episodes in your mailbox, don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠!📧💌📧Join us as Greg shares his own AI journey, debunks common myths about technology adoption after 40, and explains why now is the perfect time for GenX professionals to upskill. Whether you’re looking to stay relevant at work, explore new career paths, or just understand the buzz around AI, this episode delivers clear guidance and practical tips.Key Highlights:Why AI matters for GenX and people over 40Overcoming technology barriers and digital fearEssential AI skills for midlife professionalsGreg Steele’s step-by-step approach to mastering AIReal-world stories of GenX success with AI toolsQuotes 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 Journey04:55 Why GenX Needs to Understand AI Now12:30 Overcoming AI Myths and Barriers for GenX21:00 Practical AI Skills for People Over 4029:15 Greg Steele’s Tips for Embracing AI with Confidence34:40 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

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• Why You and AI Both Make the Same Dumb Mistakes

  Fast Minds, Slow Machines: Daniel Kahneman’s Lessons for AIWhat 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 AIFast vs. Slow AI - what marketers should knowHow cognitive bias sneaks into algorithmsReal-world applications in campaign design and data analysisActionable 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 🎧

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