Your LLM shouldn't be handling if/else logic. Here's a smarter way.

I. The Expensive if/else Statement LLMs are remarkably good at handling the unknown. Give...

giovedì 18 giugno 2026 New tab

2,067 words~9 min read

I. The Expensive if/else Statement

LLMs are remarkably good at handling the unknown. Give them an edge case you've never anticipated, and they'll reason through it correctly. That's genuine value.

The problem is that most of your traffic isn't unknown. A payment that failed on the third retry, a VIP customer with a disputed charge, an order flagged at 0.9 risk score — you already know what to do with these. But if your architecture routes everything through the LLM, it pays full inference cost regardless:

from pydantic_ai import Agent

from enum import Enum

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towardsai.net·Jun 18, 2026 · 1 g fa
You Can’t Prompt Your Away Your LLM Problems | Towards AI

Your LLM shouldn't be handling if/else logic. Here's a smarter way.

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Your LLM shouldn't be handling if/else logic. Here's a smarter way.

Other newsrooms on this story

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