Your team is probably using AI wrong, and it's costing you time, money, and results. That's the reality Alane and Micah see with most business owners who think "AI" means just ChatGPT—when there's actually a whole garage of different engines to choose from.
In this episode of Automate Your Agency, they break down their favorite car analogy that finally makes AI model selection crystal clear. You'll discover why using GPT-4 for simple tasks is like driving a V12 to the grocery store—overkill and expensive—while using the wrong model for complex work leaves you stranded.
They dive deep into the real differences between ChatGPT, Claude, and Perplexity, sharing exactly when to use each one for maximum impact. From Claude's deep research capabilities to Perplexity's live web data and GPT's versatility, you'll learn how to match the right AI engine to your specific business needs.
In this episode, you'll discover:
- Why your team gets inconsistent AI results (hint: it's not just prompting)
- The exact models Alane and Micah use for different business tasks
- How to mix and match AI models within automation workflows
- Real examples like pulling Google reviews with location-specific searches
- When to stop doing manual AI work and start automating it
- The critical difference between training data vs. live web search
This isn't about picking one AI and sticking with it—that's leaving money on the table. Smart business owners test drive different models and use the right tool for each job. If your team is frustrated with AI results or you're overpaying for simple tasks, this episode gives you the framework to optimize your AI strategy immediately.
Ready to implement smarter AI workflows? Grab our 25 AI prompts guide with department-specific use cases by requesting it here.
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For more information, visit our website at biggestgoal.ai.
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