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.

OpenAI released a Prompt Optimizer for ChatGPT-5. You paste your prompt, choose a goal (accuracy, speed, brevity, creativity, safety), and it rewrites the prompt into a clean template with role, task, rules, and output format. It also lets you A/B test the original vs the optimized version and save the result as a reusable Prompt Object.

Links

• Optimizer: https://platform.openai.com/chat/edit?models=gpt-5&optimize=true

How to use

• Paste your prompt → click Optimize.

• Remove conflicts, set reasoning level (low/medium/high), define output format.

• Save as a Prompt Object and reuse it. Run the A/B test and keep the winner.

Quick templates

• Study: Explain [topic]. Output: overview, 3 key points, example, 3‑line summary. Include sources.

• Code: Fix this [language] snippet. Output code only with 3 comments explaining changes.

• Research: Summarize links into 5 insights, 2 limits, 1 open question, plus 3 refs.

• Data: Convert text to strict JSON array with fields X/Y/Z; drop incomplete rows.

Tips

• Fix contradictions first.

• Be explicit about structure and length.

• Match reasoning level to task complexity.

• Version prompts and track improvements with the A/B tool.