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Prompt Writing 📝
Assign a Role to AI
Transforming your AI from a general assistant to a specialized expert is straightforward with Noxus’s Context prompt. By defining a specific role within the Context text box available in all AI modules, you can tailor the AI’s expertise, tone, and focus to meet your unique needs.
In this example:
Why Assign a Role to Your AI?
- Enhanced Precision: Defining a role ensures the AI understands the specific nuances of specialized tasks, leading to more accurate and reliable outputs.
- Customized Communication: Whether you require the analytical depth of a financial analyst or the creative flair of a marketing strategist, role assignment adjusts the AI’s tone and style accordingly.
- Focused Responses: Setting a clear role context keeps the AI aligned with your specific objectives, minimizing irrelevant or off-target information.
How to Assign a Role Using the Context System Prompt
Utilize the Context text box in your AI node to define the AI’s role. This Context sets the foundational behavior and expertise level of the AI, while all task-specific instructions should be included in the Prompt text box.
Example Setup
- Access the Context Box: Navigate to your AI node and locate the Context text box.
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Define the Role: Enter a clear and specific role prompt that outlines the AI’s expertise and perspective.
Example:
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Add Task-Specific Instructions: In the Prompt text box, provide the specific instructions for the AI to follow.
Example:
Role Assignment Tip: Experiment with various roles to observe how the AI’s
expertise and perspective adapt. For instance, a data scientist will interpret
data differently than a marketing strategist, offering insights tailored to
each domain.
Examples of Role Prompting
To demonstrate the impact of assigning roles, let’s explore two scenarios: one without role prompting and one with a defined role using the Context.Legal Contract Review Without Role Assignment
Legal Contract Review Without Role Assignment
User Prompt:Analyze this software licensing agreement for potential risks:Focus on indemnification, liability, and IP ownership.AI Response:Here’s a summary of the key points in the software licensing agreement:
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Indemnification (Section 8):
- We indemnify the vendor against claims arising from our use.
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Limitation of Liability (Section 9):
- Damages capped at $500.
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IP Ownership (Section 12):
- We retain ownership of our modifications.
Legal Contract Review With Role Assignment
Legal Contract Review With Role Assignment
User Prompt:You are the General Counsel of a Fortune 500 tech company. We’re considering this software licensing agreement for our core data infrastructure:Analyze it for potential risks, focusing on indemnification, liability, and IP ownership. Provide your professional opinion.AI Response:I’ve reviewed the software licensing agreement, and I have serious concerns that could expose our company to significant risks:
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Indemnification (Section 8):
- Critical Issue: We indemnify the vendor against “any and all claims” arising from our use.
- Risk: This could hold us liable even for the vendor’s negligence or product defects.
- Recommendation: Reject. Limit our indemnity to claims arising from our violation of the agreement.
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Limitation of Liability (Section 9):
- Critical Issue: Damages capped at $500, including direct damages.
- Risk: Grossly inadequate. A critical failure in our data infrastructure could cost us millions in lost revenue and reputational damage.
- Recommendation: Reject. Negotiate for a cap at 12 months of fees for direct damages, and carve-outs for data breaches.
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IP Ownership (Section 12):
- Critical Issue: Vendor gains joint ownership of our modifications and integrations.
- Risk: They could use or sell our proprietary algorithms or data insights to competitors.
- Recommendation: Reject. We must retain full ownership of our work.
- Without Role Assignment: The AI provides a basic analysis of the software licensing agreement, summarizing key sections but missing deeper insights and critical issues that could have significant implications for a large company.
- With Role Assignment: By defining the AI as the General Counsel of a Fortune 500 tech company, the AI delivers a thorough and professional analysis. It identifies critical issues, assesses risks, and offers clear recommendations, demonstrating a higher level of expertise and attention to detail.
Best Practices for Assigning Roles
- Be Specific: Clearly define the AI’s role in the Context text box to ensure it understands its expertise and perspective.
- Separate Instructions: Use the Context text box solely for role definition. Place all task-specific instructions within the user messages to maintain clarity.
- Experiment and Iterate: Test different roles to find the best fit for your tasks. Adjust the role descriptions to fine-tune the AI’s performance and output style.