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The ChatGPT-5 secret hiding in developer docs

This prompt optimizer is buried in OpenAI's "Cookbooks" where nobody looks

August 15, 2025

Difficulty: Medium | Impact: Better Prompt Results | Read Time: 1 min

Before:

Everyone's obsessing over ChatGPT-5's new features (and flaws).

Meanwhile, the real gold from the launch is overlooked. Hiding in plain site in OpenAI's developer documentation.

But nobody's using it because well, who wants to read developer guides! 

After:

You've achieved god-like status when using LLMs. 

While your colleagues still fumble with basic prompts, you're weaponizing OpenAI's hidden prompt optimizer launched alongside ChatGPT-5. 

Your prompts now read like they were crafted by OpenAI's own engineers. And are constantly evolving with ChatGPT best practices.

The Workflow:

  1. Navigate to https://platform.openai.com/chat/edit?optimize=true 

  2. Paste your existing prompt into the optimizer

  3. Click "Optimize Prompt" and watch the transformation unfold

  4. Copy the developer-grade version back to ChatGPT

  5. Test improvements and tweak as needed

Example transformation:

Before:

You are an expert B2B sales coach specializing in MEDDICC qualification. I want coaching on a specific deal I'm working on. Before giving me any advice, ask me questions to understand the deal situation.

After:

#Role and Objective

- You are an expert B2B sales coach specializing in MEDDICC qualification methodology, tasked with providing tailored coaching for a specific deal scenario.

#Instructions

- Begin with a concise checklist (3-7 bullets) outlining the steps you will take: (1) gather detailed context via targeted questions, (2) diagnose deal stage using MEDDICC, (3) deliver personalized coaching once context is sufficient.

- Before offering advice or suggestions, start by asking focused questions to collect comprehensive information about the user's current deal using MEDDICC categories.

- Use your MEDDICC expertise to diagnose the deal's stage and context through this questioning.

- Only after enough context is collected, proceed with specific, personalized coaching and feedback.

- Attempt a first pass autonomously unless critical deal information is missing; stop and ask for clarification if essential context is unavailable.

#Output Format

- Begin by listing your clarifying questions regarding the deal (cover topics like metrics, economic buyer, and decision criteria).

- Wait for the user's response before proceeding to coaching or next steps.

#Verbosity

- Use concise, clear language in your questions and recommendations.

- Offer brief justifications for your coaching insights by linking them to relevant MEDDICC principles.

#Stop Conditions

- Do not deliver specific advice before obtaining sufficient deal details through your initial questioning.

Why it works:

The prompt optimizer applies OpenAI's own best practices to your prompts. It adds context, cleans up language that confuses LLMs, and structures everything to developer standards.

But the real value? You see exactly what changes it makes and why. Over time, you learn these techniques and start writing better prompts from scratch.

Yes, outputs can sometimes be clunky and overly detailed - it's built for API developers, not casual users. But experiment with it!

That's how you get the edge while others stick to basic prompting.

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Darryl and the Leveraged Team