Suggest a prompt optimizer/improver tool
Stop wasting tokens: GPT‑5’s new Prompt Optimizer fixes your prompt in 30 seconds
OpenAI own prompt optimizer
Built a free AI prompt optimizer tool that helps write better prompts
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I wrote quite good and working prompt for Llama 3.3 70B. This prompt extracts some structured info (JSON) from a screen-long document.
The problem is - there are so many instructions in the prompt, the prompt is (from my point of view) too long - about 2000 tokens (and the document is attached to the end of prompt, so all together: 3000-4000 input tokens).
I want to optimize/shorten this prompt, keeping its function. Please suggest a tool for this.
P.S. Under "Useful links for getting started with Prompt Engineering" in this subreddit I see some prompt generators. Something like these things: https://www.promptify.pro/
https://promptperfect.jina.ai/
https://hero.page/ai-prompts
How good such tools are?
P.P.S. I heard something like this should exist under platform openai but this thing requires credit card for everything and it does not like my credit card somehow...
OpenAI just shipped a free Prompt Optimizer for ChatGPT 5 and it’s the rare tool that actually saves time. Paste your chaos prompt. Pick what you care about (accuracy, speed, brevity, creativity, safety). Boom—clean, structured prompt with role, constraints, and exact output format. It even lets you A/B your original vs the optimized version so you can keep receipts.
Grab it
Optimizer: https://platform.openai.com/chat/edit?models=gpt-5&optimize=true
Why this slaps
Kills contradictions (“be brief” + “explain every step”) that tank results.
Adds clear sections: Role → Task → Constraints → Output → Checks.
Reasoning slider so you don’t burn tokens on easy tasks.
Save as a Prompt Object and reuse anywhere—share with friends or your team.
60‑second recipe
Paste your prompt → Optimize.
Pick Accuracy (or Brevity if you hate fluff).
Specify format: headings, code blocks, tables, or strict JSON.
Run A/B on two real tasks → keep the winner → save as preset.
Plug‑and‑play starters
Tutor: “Teach [topic]. Output: overview, 3 key ideas, example, 3‑line TL;DR. Cite sources.”
Debug: “Fix this [language] code. Return code only with 3 inline comments.”
Research: “Summarize links into 5 insights, 2 caveats, 1 open question + 3 references.”
Data: “Convert text to strict JSON array (fields X/Y/Z). Drop incomplete rows. No prose.”
Pro tips
Be explicit. Structure beats vibes.
Match reasoning to difficulty (low = fast, high = deep).
Version your prompts and track wins with the A/B tool.