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Nikonomics - The Economics of Small Business
Welcome to Nikonomics—the show for entrepreneurs and Wantrapreneurs, ready to tackle the toughest roadblocks to their first million.
Nik brings firsthand experience, having bought and sold over a dozen businesses, achieved multiple 7-figure exits, and generated over $100 million in revenue.
Each week, he blends humor with real insights from successful entrepreneurs, sharing growth strategies, deal insights, and unique business ideas you won’t find elsewhere.
Ready to turn your entrepreneurial dreams into reality? Hit play and let’s get to work.
Follow me on Twitter here: https://twitter.com/CoFoundersNik or @CoFoundersNik
Nikonomics - The Economics of Small Business
171 - AI SERIES: 14 - How to Avoid Massive AI API Costs with Michael Greenberg
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Join me, Nik (https://x.com/CoFoundersNik), as I interview Michael Greenberg (https://x.com/@gentoftech), serial entrepreneur and AI guru. Michael shares how he's using AI in his multiple businesses, from ghostwriting to podcast booking.
We dive into the world of AI models, discussing which ones Michael uses daily, like Gemini 2.5 Pro and O3 mini high, and why he's moved away from others like GPT 4.0 for most tasks. Learn the critical difference between standard models and powerful reasoning models, and why the latter are essential for business logic, complex problems, and even math.
We also unpack the importance of the context window and how models like Gemini excel here. Plus hear a cautionary tale about a $4,000 AI API bill and how they fixed it.
Enjoy the conversation!
Questions This Episode Answers:
What AI models should I use for business tasks?
What's the difference between standard and reasoning AI models?
Why is the context window important for AI?
How can Anthropic's Workbench help me write better prompts?
How do I avoid huge AI API costs?
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This week we covered:
00:00 The Cost of AI in Business
02:58 Choosing the Right AI Models
05:55 Understanding Reasoning Models
08:50 The Importance of Context in AI
12:12 Future of AI Models
15:05 Prompt Engineering and AI Tools
18:03 Real-World Applications of AI
21:12 Managing AI Costs and Usage