GPT-5’s Prompt Optimizer is insane

I’ve wasted so much time tweaking prompts, trying to find that perfect structure, only to get confusing or bloated results back. It feels like half the battle is just getting the AI to understand what you actually want.

Well, OpenAI just dropped a free Prompt Optimizer for GPT-5, and it’s a total game-changer. You literally paste in your chaotic, rambling idea for a prompt, and this tool cleans it up in about 30 seconds. It’s the first thing I’ve used that actually saves me time instead of adding another step.

✨ Why This is a Game-Changer

This isn’t just about making prompts look prettier. It fundamentally improves them.

📌 It automatically finds and fixes contradictions: like when you ask it to be both brief and super detailed.

It adds a clean, logical structure: Role → Task → Constraints → Output format.

⚖️ It has a “reasoning slider”: so you don’t burn tokens on simple tasks but can crank it up for complex ones.

🚀 You can even A/B test your original prompt: against the optimized version to see the difference for yourself.

⚙️ Your 60-Second Recipe

Getting started is ridiculously easy. Seriously, it takes less than a minute.

💡 Paste your rough prompt idea into the optimizer.

🎯 Choose what you care about most: like “Accuracy” for facts or “Brevity” to cut the fluff.

📜 Specify the exact output format you need: whether it’s tables, code blocks, or strict JSON.

🔬 Run the A/B test on a real task: see which prompt performs better, and save it as a preset for later.

✍️ Plug-and-Play Starter

To get a feel for it, try starting with a clear, structured request like this for debugging code:

“Fix this [language] code. Return code only with 3 inline comments.”

This tool is awesome for killing prompt-writing frustration and getting better results while saving tokens. The original post has more pro-tips and example prompts you can swipe.

Check out the full Reddit post for all the details!

Stop wasting tokens: GPT‑5’s new Prompt Optimizer fixes your prompt in 30 seconds
byu/AskGpts in

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