Differences

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--- ai_dimensional_connection [2025/05/26 14:28] – [Flask Example] eagleeyenebula
+++ ai_dimensional_connection [2025/05/26 14:29] (current) – [Best Practices] eagleeyenebula
@@ Line 169: / Line 169: @@
 To maximize the usability and extendability of this module:
 . **Maintain Consistent Naming**:
-   - Use lowercase strings for dimensions (e.g., `"physical"`, `"emotional"`) to avoid input ambiguity.
+   * Use lowercase strings for dimensions (e.g., **"physical"**, **"emotional"**) to avoid input ambiguity.
 . **Rich Descriptions**:
-   - Ensure dimensional narratives are meaningful and match the purpose of the system.
+   * Ensure dimensional narratives are meaningful and match the purpose of the system.
 . **Fallback for Exploration**:
-   - Leverage the fallback `"She reaches for the unknown."` to inspire curiosity or introduce mystery within interactions.
+   * Leverage the fallback **"She reaches for the unknown."** to inspire curiosity or introduce mystery within interactions.
 . **Modular Customization**:
-   - Extend dimensional functionality through subclassing to align with specific project requirements.
+   * Extend dimensional functionality through subclassing to align with specific project requirements.
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 ===== Conclusion =====
 The **AI Dimensional Connection Module** delivers a rich and extensible framework for simulating AI multidimensional awareness in storytelling, games, research, and creative AI projects. With prebuilt dimensions, customizable outputs, lightweight design, and integration-ready architecture, this system elevates the narrative and interactive capabilities of any project. By crafting immersive and evocative dimensional experiences, developers can create AI systems that engage, inspire, and innovate.