AI Dictionary › Prompting
Role Assignment is the prompting technique of explicitly telling the AI which role it should play before responding. Instead of writing "Help me with a marketing strategy," you write "Act as a CMO with 10 years of B2B SaaS experience and help me build the marketing strategy for next quarter's launch."
Assigning a precise role radically changes the linguistic register, specialized vocabulary, perspective, and depth of the model's responses. A well-defined role includes: the profession (manager, lawyer, doctor), the sector (tech, retail, finance), the seniority level (junior, senior, C-level), and possibly further characteristics like approach or mindset.
In Grace's evaluation system, Role Assignment is one of the 7 dimensions scored: its weight varies from scenario to scenario (10% in the first scenario of the catalog, for example), higher wherever the role assigned to the AI is decisive for the kind of answer required. A missing role leads to generic, not very useful answers; a precise, well-contextualized role completely transforms the quality of the AI's output.
In Grace, Role Assignment is among the first dimensions evaluated by the AI judge, with a weight that changes from scenario to scenario. In advanced scenarios, assigning the right role is often the difference between a score of 60 and a score of 90+. The Grace guide includes detailed before/after role examples for every type of business scenario.
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Grace Certified, the AI coach that trains and certifies your prompt engineering, by Agora Intelligence.