OpenAI has published updated prompting guidelines for its GPT-5.6 model that mark a significant departure from the elaborate prompting techniques that users have developed over the past several years, according to the company’s documentation.
The new guide, released alongside GPT-5.6 Sol earlier this month, recommends a simplified approach to prompt engineering: define the destination, set the stopping conditions, and get out of the way. OpenAI advises users to abandon the complex XML blocks, multi-step reasoning chains, and system prompt hacks that became common practice with earlier GPT models.
“Forget the XML blocks and persistence scripts. OpenAI’s new prompting guide says define the destination, set the stopping conditions, and get out of the way,” the company stated, summarizing the philosophy behind the updated recommendations.
The shift reflects fundamental improvements in GPT-5.6’s ability to understand user intent without requiring extensive scaffolding. Earlier models, particularly GPT-3.5 and GPT-4, needed carefully structured prompts with explicit formatting instructions, role definitions, and step-by-step task breakdowns to produce reliable results. GPT-5.6’s improved reasoning capabilities make much of that scaffolding unnecessary.
Key recommendations in the new guide include using natural language rather than rigid templates, specifying the desired outcome rather than the process, and avoiding over-specification of formatting rules. OpenAI also emphasizes that users should test prompts iteratively rather than trying to perfect them upfront.
The new guidelines have implications for developers and businesses that have invested heavily in complex prompt engineering workflows. Organizations may need to revisit their prompt libraries and API integration patterns to take full advantage of GPT-5.6’s capabilities without unnecessary complexity.
This article was adapted from Decrypt. Read the original here.
