I’ve been using GPT-5.4 Nano and I’m honestly blown away by how well it performs for being a smaller model. The speed feels great, and the output quality has been consistently strong for tasks I normally use larger models for.

What I’m curious about:

• What kinds of prompts/workflows are you getting the best results with?
• How does it compare to models you were using before (quality, latency, reliability)?
• Any “best practices” you’ve found, prompt style, system instructions, or tool usage, that really improve results?

Would love to hear your experience and any tips.