I'm Learning Why AI Shouldn't Do Everything

One thing I'm realizing while learning AI is that an LLM doesn't need to handle every task.

For example:

User question
↓
AI understands intent
↓
Call the right API
↓
Get real data
↓
AI explains the result

If I need to calculate distance, normal code can do it.

If I need to retrieve a database record, SQL can do it.

If I need to check whether a location is open, an API should provide the answer.

Then AI can focus on understanding the user's request and presenting the information naturally.

I'm starting to think the best AI applications aren't necessarily the ones with more AI.

They're the ones that use AI in the right places.

What tasks do you think should never be left entirely to an LLM?