**[OpenAI Releases New Prompt Engineering Guide for GPT-5.6, Advocates Streamlined System Prompts]** According to Deep Tide TechFlow, on July 14, Decrypt reported that OpenAI has released a new prompt engineering guide for its flagship model, GPT-5.6 Sol. The core concept is "results-first prompting"—focusing on clear objectives and termination conditions while avoiding lengthy procedural instructions. Internal programming agent tests show that streamlined system prompts improved evaluation scores by approximately 10–15%, reduced total token usage by 41–66%, and cut costs by 33–67%. The guide also introduces a new `text.verbosity` API parameter for globally controlling output detail levels, as well as a new chapter on "programmatic tool invocation," which supports delegating intermediate tasks like filtering and batch processing to code, thereby reducing the model's decision-making burden. Additionally, the guide warns that GPT-5.6 strictly adheres to prompt rules, and conflicting instructions within prompts can consume a significant number of inference tokens and potentially lead to erroneous outputs.