Choosing the Right AI Model for the Job

Are you wasting money and usage limits by choosing the most powerful AI model for every task? Or are you wasting even more time fighting with a cheaper model that isn't up to the job?

In this episode, Matt and Mike discuss when to use smaller, faster AI models and when it's worth reaching for more powerful reasoning models. From simple website fixes and document processing to complicated debugging, architecture decisions, and long-running AI agents, choosing the right model can make a huge difference in both cost and productivity. They also explore how your prompting strategy should change depending on the model you're using, why Mike has started giving more autonomy to powerful AI models, and the risks of trusting AI-generated code when you don't fully understand the results. Plus, they discuss the hidden costs of AI workflows, including repeated prompts, human verification, and time spent correcting mistakes.

‍Show Notes: https://www.htmlallthethings.com/podcast/choosing-the-right-ai-model-for-the-job

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