GPT. Claude. Gemini. Llama. Mistral. You've probably used one of them. But if someone asked you to explain what an AI model actually is and why there are so many, most service-based business owners would struggle.

That's not a knowledge gap, it's a communication failure by the companies building these tools. This episode fixes that.

In this episode:

• What an AI model actually is, the simplest possible explanation
• Why different companies built different models (OpenAI, Anthropic, Google, Meta)
• The law school analogy: same profession, different lenses, different strengths
• Model tiers explained: Haiku, Sonnet, and Opus, when to use which
• The practical rule: use the smallest model that gets the job done
• What context windows are and why they matter for real business work
• Why Claude projects solve the context window problem for ongoing work
• The cost difference between tiers and how it adds up when you're running automations
• Why the best model is the one you open today
• Makeda's honest take: pick one and go deep

Who this is for: Service-based business owners who are confused by the number of AI tools on the market and want a clear, jargon-free framework for making confident decisions about which to use and why.

Continue planting the seeds for a better society.

Makeda Boehm | Seed and Society
makedaboehm.com | seedandsociety.com
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