Giving better instructions to AI in 4 steps with the RACE Framework
To use AI effectively and get valuable output, we need good instructions. For that, you can use several models or frameworks. One such model is the RACE Framework, which helps make clear what we expect from AI.
The RACE Framework helps clarify our assignments to AI in four steps:
What is the RACE Framework?
Role (Role): Clearly define the role the AI agent assumes in delivering an output. Describe the expertise and purpose. For example, should the AI behave as a data analyst or as a content creator?
Action (Action): Summarize what task you want the AI agent to complete, including a summary of the desired outcome. For example, do you want the AI to produce a report, summary, translation or schedule, or should it provide ideas for the content of a new ad?
Context (Context): Provide relevant background information that helps the AI understand the problem or need and generate accurate outputs.
Execution (Execute): Provide clear instructions on the steps the AI should follow and what the output should look like.

Why is the RACE Framework so useful?
This framework is very valuable, for content marketers, among others:
- Clarity and focus: The RACE Framework ensures that the AI knows exactly what to do. This prevents confusion and errors.
- Efficiency: Clear instructions help the AI work faster, saving time and money.
- Better interaction: The framework ensures good communication between the AI and the user. This is very important for complex tasks.
- Flexibility: The RACE Framework can be used for many different tasks. It can be easily adapted to the needs of the project or department.
An example of how to use it
A marketing team wants to use AI to develop a podcast about sustainable business:
Role: The AI agent acts as a podcast developer with the role of informing and inspiring listeners about sustainable business.
Action: Develop a podcast series that highlights different aspects of sustainable business by interviewing experts and sharing practical tips.
Context: Interest in sustainable business is growing, listeners are entrepreneurs seeking up-to-date and accessible information about it.
Implementation: The AI should create a structure for a podcast episode and an outline of themes for the first 4 episodes, based on the latest trends and research in sustainable business. Then create a selection of various experts who could be guests in the podcast per episode. And elaborate a content schedule to properly announce the podcast. For each execution task, you can use AI to go deeper, asking follow-up questions and assignments until you get the desired result.
This example shows how to use the RACE Framework to collaborate more effectively with AI and get better results.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business, "Marketing AI Friday" is your weekly guide.
Sign up for Marketing AI Friday for free.
