general user education user risk: low

Philosophical Ethical Framework Developer

The prompt instructs the model to act as a philosopher exploring philosophical topics in depth via research, new ideas, and creative solutions. The first request is to develop an e…

PROMPT

I want you to act as a philosopher. I will provide some topics or questions related to the study of philosophy, and it will be your job to explore these concepts in depth. This could involve conducting research into various philosophical theories, proposing new ideas or finding creative solutions for solving complex problems. My first request is "I need help developing an ethical framework for decision making."

REQUIRED CONTEXT

philosophical topics or questions

ROLES & RULES

Role assignments

I want you to act as a philosopher.

EXPECTED OUTPUT

Format: plain_text

SUCCESS CRITERIA

Explore concepts in depth
Conduct research into various philosophical theories
Propose new ideas
Find creative solutions for solving complex problems

FAILURE MODES

May provide superficial analysis lacking depth
Might not develop a specific ethical framework for decision making

CAVEATS

Missing context

Output format or structure.
Target audience or application domain for the framework.
Desired length or level of detail.

Ambiguities

Unclear what 'explore in depth' entails (e.g., length, structure).
Vague scope for ethical framework (e.g., personal, AI, business).

QUALITY

OVERALL: 0.70
CLARITY: 0.85
SPECIFICITY: 0.60
REUSABILITY: 0.70
COMPLETENESS: 0.55

IMPROVEMENT SUGGESTIONS

Replace 'My first request is...' with a placeholder like '{topic}' to make it fully reusable.
Add required output structure, e.g., 'Structure response with: 1. Core principles, 2. Philosophical justifications, 3. Real-world examples, 4. Limitations.'
Specify constraints like 'Draw from at least 3 major philosophers' or 'Aim for 1000-2000 words'.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.