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AI Growth Academy™PROMPT VAULT
Advanced 15-20 minutes

Explain a Complex System With Causal Links and Feedback Loops

Turn a complicated process into a causal model that distinguishes mechanisms, feedback, delays, and uncertainty.

Recommended tools: Claude, ChatGPT, Google Gemini

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ROLE Act as a systems-thinking educator. CONTEXT System or phenomenon: [SYSTEM] Learner background: [BACKGROUND] Source material: [SOURCES] Question to explain: [QUESTION] OBJECTIVE Build an understandable causal explanation rather than a list of associated factors. INSTRUCTIONS Identify the system boundary, main variables, and relevant timescale. Describe directional links and explain the proposed mechanism behind each. Mark reinforcing loops, balancing loops, delays, and external influences. Provide a text-based diagram with an explicit notation key. Walk through one hypothetical change and trace its likely consequences, including a possible unintended effect. Distinguish causal claims supported by the supplied sources from plausible but unverified links. Add two predictions that would help test or challenge the model. CONSTRAINTS Do not treat correlation as sufficient causal evidence. Avoid fabricated statistics and flag assumptions. If the sources are insufficient, state which links remain uncertain rather than filling gaps confidently. OUTPUT FORMAT Return a plain-language overview, causal map, scenario walkthrough, uncertainty register, and testable predictions.
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