OpenAI Publishes GPT-5 Prompting Guide and Releases Prompt Optimizer Tool
OpenAI has added a GPT-5 prompting guide to its public Cookbook and launched a Prompt Optimizer in the Playground. The resources are designed to improve the quality, efficiency, and consistency of prompts for the new model, with specific guidance for agentic tasks, coding workflows, and instruction adherence.
OpenAI’s updated Cookbook now includes a GPT-5 prompting guide that outlines strategies for building high-performing prompts. The guide covers steerability, verbosity control, agentic workflows, and prompt migration. It includes code samples and workflow diagrams aimed at helping developers adapt to GPT-5’s expanded reasoning capabilities.
The company has also introduced a Prompt Optimizer in the Playground interface. The tool analyzes user prompts and generates optimized versions. It can identify inefficiencies, improve clarity, and help with migrating GPT-4 prompts to GPT-5. Developers can review suggestions side-by-side with their original prompts, with support for saving reusable prompt objects.
According to OpenAI, the Prompt Optimizer supports both manual and automated refinements. Early usage examples in the Cookbook show measurable gains in model adherence to instructions and reduced token usage without sacrificing quality.
The new guide and tool aim to standardize best practices for GPT-5 prompt engineering. This is expected to reduce trial-and-error in production environments and accelerate deployment for agentic systems, code generation, and structured output workflows.
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