When Should You Use an LLM? (Part 1)
Most developers building AI apps make the same mistake — they reach for an LLM when a few lines of code would do the job faster, cheaper, and more reliably.
The key to building good AI applications (and eventually good AI agents) is knowing when to call the model and when to just write code.
In Part 1, we cover the core framework: deterministic vs non-deterministic tasks. Once you understand this split, every AI architecture decision gets easier.
Part 2 drops next — follow so you don't miss it.
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