A Beginner's Guide to AI
Claim This Podcastby Dietmar Fischer
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Podcast Overview
<p>"<strong>A Beginner's Guide to AI</strong>" makes the complex world of Artificial Intelligence accessible to all. Each episode either asks someone working with AI about what they do and how AI can help you or it explains an important concept/idea. </p><br><p>Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us and learn everything you need to know on how to use AI in the best way 🚀</p><br><p>🎙️ <strong>About The Host, Dietmar Fischer</strong></p><p>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 <a href="https://argoberlin.com" rel="noopener noreferrer" target="_blank">argoberlin.com</a></p><p><br></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
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Publishing Since
7/21/2023
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Recent Episodes
July 18, 2026
The Next AI Crisis Won’t Be Hallucinations. It Will Be Costs
<p>AI agents can conduct research, analyze interviews, retrieve documents, call tools, and complete complex workflows with limited human involvement. But every prompt, response, document, retry, and agent iteration consumes tokens. When nobody monitors that consumption, a valuable AI experiment can quickly become an unexpected business expense.</p><br><p>In this episode of The Beginner’s Guide to AI, Dietmar Fischer shares a real example from a university startup. A researcher was developing an AI-supported process for qualitative interview analysis using retrieval-augmented generation, Claude, and a sequence of approximately 70 prompts.</p><p>The research was valuable. The bill was also noticeable.</p><br><p>Within one week, the project generated approximately $180 in token costs. That may be acceptable for an important scientific project, but it raises a much larger question: What happens when dozens or hundreds of employees begin running similar AI agents?</p><br><p>📈 AI agents do not behave like occasional chatbot users. They can process large amounts of information, make repeated API calls, use tools, retry failed steps, and continue working through multiple iterations. Poorly configured agents can even enter loops, repeating the same operations until somebody intervenes. Every iteration costs additional tokens.</p><br><p>For businesses selling AI services, this creates a potential problem with fixed-price subscriptions. A customer paying a modest monthly fee may generate API costs that are many times higher than the subscription revenue.</p><p>For other companies, the problem is internal. Employees may be encouraged to use AI, but managers may have limited visibility into which teams, models, agents, and workflows are generating the costs.</p><p>The solution is not to stop using AI. Employees who barely use the available tools can also hold back productivity and innovation. Companies need to find the right balance between insufficient adoption and uncontrolled consumption.</p><br><p><br></p><p><strong>🔍 In this episode, you will learn:</strong></p><p>• Why autonomous AI agents consume more tokens than ordinary chatbot interactions</p><p>• How repeated model calls and agent loops can increase AI API costs</p><p>• Why fixed-price AI products may become difficult to sustain</p><p>• How to monitor token usage by employee, application, and model</p><p>• Why companies need AI budgets, dashboards, alerts, and spending limits</p><p>• How business leaders can encourage AI adoption without losing financial control</p><p>• Why AI cost management and LLM cost monitoring are becoming strategic business disciplines</p><br><p><br></p><p>📧💌📧</p><p><strong>Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: </strong><a href="https://beginnersguide.nl/" rel="noopener noreferrer" target="_blank"><strong>beginnersguide.nl</strong></a></p><p>📧💌📧</p><br><p><br></p><h2>Quotes from the Episode</h2><p>💬 “What happens if everybody who has access to the app pays 24 euros a month and produces $180 in costs over one week?”</p><p>💬 “You as a business leader have to make a decision, and you have to see how you can cap this whole thing, because it can get out of control.”</p><p>💬 “We have to be in between not using AI and using AI too much.”</p><p><br></p><h2>Chapters</h2><p>00:00 The Emerging Token Cost Problem</p><p>00:53 How an AI Research Project Generated a $180 Bill</p><p>02:53 Why Fixed-Price AI Models Can Become Risky</p><p>04:14 How AI Agents Multiply Token Consumption</p><p>05:31 Measuring Usage and Introducing Spending Caps</p><p>07:10 Runaway Agents, Loops, and Unexpected AI Bills</p><p>08:40 Final Warning for Business Leaders</p><p><br></p><h2>About Dietmar Fischer</h2><p>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 <a href="https://argoberlin.com/" rel="noopener noreferrer" target="_blank">argoberlin.com</a>.</p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
July 16, 2026
Why Small Teams Can Suddenly Beat Large Companies - The Bryan McAnulty Interview
Dietmar Fischer interviews Bryan McAnulty, founder of Heights Platform, about how AI agents redefine knowledge work, enabling small teams to outcompete larger companies by focusing on new customer experiences.
July 14, 2026
We Are In A Trust Recession, Says Alice Sesay Pope
Podcaster Dietmar Fischer interviews author Alice Sesay Pope about navigating a "trust recession" in generative AI adoption by prioritizing human oversight and responsible strategy.
381 total episodes available with 220 transcripts
Recent guests on A Beginner's Guide to AI
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Bryan McAnulty
Guest
Alice Sesay Pope
Guest
Hirak S Chakraborty
Guest
Moritz Sudhof
Guest
Taniya Mishra
Guest
Mark Khater
Guest
Dr Mark Mohamed Khater
Guest
Gustavo Razzetti
Guest
Sergii Gerasymovych
Guest
Ross Barnes
Guest
Earl J Campazzi Jr
Guest
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- What is A Beginner's Guide to AI?
<p>"<strong>A Beginner's Guide to AI</strong>" makes the complex world of Artificial Intelligence accessible to all. Each episode either asks someone working with AI about what they do and how AI can help you or it explains an important concept/idea. </p><br><p>Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us and learn everything you need to know on how to use AI in the best way 🚀</p><br><p>🎙️ <strong>About The Host, Dietmar Fischer</strong></p><p>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 <a href="https://argoberlin.com" rel="noopener noreferrer" target="_blank">argoberlin.com</a></p><p><br></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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