10 Popular Prompt Frameworks for Generative AI. Plus usage recommendations. RTF - TAG - APE - CARE - STAR - BAB - PAS - RISEN - ROSES - SCET

10 Popular Prompt Frameworks and usage for Generative AI – Click the image to enlarge it.

Effective communication with AI chatbots requires structure and clarity. This comprehensive infographic is the first in our “Prompt Engineering Made Visual” series, showcasing 10 powerful frameworks that help you craft better prompts and get more valuable responses from generative AI systems.

These frameworks—RTF, TAG, CARE, STAR, PAS, APE, BAB, RISEN, ROSES, and SCET—provide organized approaches for framing your requests to AI systems. Each addresses different communication needs, from technical problem-solving to creative storytelling to structured analysis.

What makes these frameworks particularly valuable is their adaptability across different use cases. For technical requests, frameworks like RISEN or SCET help define clear parameters. For creative content, PAS or BAB guide the AI through a logical narrative structure. The color-coding in our infographic helps you quickly identify which framework best suits your specific needs.

Understanding these frameworks is just the beginning of mastering prompt engineering. In upcoming installments of our series, we’ll explore dimensions of prompt crafting, prompting principles, advanced mega-frameworks, and structured formatting techniques.

Bookmark this page and stay tuned for more visual guides that will transform how you interact with generative AI.

Which of these frameworks do you find most useful for your AI interactions? Let us know in the comments!