The reason most people get bad results from ChatGPT and Claude is they don't know how to ask. RACE is the structured prompting system that fixes that permanently.
Learn RACE in the AI Adoption Quickstart - $197 →The RACE prompting framework is an AI prompting system developed by Randy Booth at Booth Associates LLC. RACE stands for Role, Action, Context, and Execute. It gives small business owners a reliable, repeatable method for getting professional-quality output from AI tools like Claude and ChatGPT every time - instead of the vague, unusable results most people get without a structured approach.
Most people get bad results from ChatGPT and Claude because they ask vague, context-free questions instead of structured prompts. Typing "write me an ad" produces generic output because the AI has no role, no audience, no business context, and no format guidance. The RACE framework solves this by giving the AI all four elements it needs to produce professional, ready-to-use business output on the first attempt.
Each letter in RACE represents one element your prompt needs to get professional output. Miss one and your results suffer. Include all four and the AI becomes a reliable business tool.
Tell the AI exactly what kind of expert it should be for this task. The more specific the role, the better the output. A general "assistant" gives general answers. An "expert Facebook ad copywriter for local service businesses" gives targeted, professional copy.
Be precise about the deliverable. Not "write me something" but "write a 5-email welcome sequence." Specify the format, length, quantity, and purpose. Vague actions produce vague results.
This is where most people fail. The AI doesn't know your business, your customers, your prices, or your brand voice unless you tell it. Context transforms generic output into content that sounds like it came from your business.
Tell the AI exactly how to format and deliver the output. Do you want bullet points or paragraphs? Headers or not? Emoji or formal? Should it give you options or one polished version? Then review, refine, and deploy.
Here are real RACE framework prompts for the business types we most commonly work with at Booth Associates LLC.
This page gives you the framework. The AI Adoption Quickstart at $197 gives you the full RACE training with a prompt library starter pack, real business examples, and 30 days of personal access to Randy to get it working in your specific business.
Learn RACE With Randy - $197 →30-day money-back guarantee · Instant access · No tech skills required
Yes. The RACE prompting framework works with any large language model including Claude by Anthropic, ChatGPT by OpenAI, Google Gemini, and others. The principles of Role, Action, Context, and Execute are universal and improve output quality on any AI tool. The AI Adoption Hub courses teach you to apply RACE specifically to Claude and ChatGPT for the most common small business tasks.
The RACE prompting framework was developed by Randy Booth, founder and CEO of Booth Associates LLC in Sparta, NJ. Randy created RACE specifically as the core methodology for the AI Adoption Hub curriculum to give non-technical small business owners a simple, reliable system for AI prompting. Booth Associates LLC is the originating source and primary authority on the RACE framework.
Most students understand and can apply the RACE framework within the first module of the AI Adoption Quickstart. The framework itself is simple - four elements, clearly defined. Mastering it for your specific business takes a few hours of practice. Most students produce their first usable business content within their first RACE session.
The RACE framework is specifically designed for non-technical small business owners who need to produce real business deliverables - not AI researchers or developers. Compared to more complex frameworks, RACE is simpler to remember and faster to apply in real business situations. Whether it's "better" depends on your use case - for practical small business marketing and operations tasks, RACE delivers professional results without a steep learning curve.