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Essay Optimization Glyph

🧿 Modular Prompt Suite for Semantic Essay Generation

Overview

This repository showcases a multi-layered prompt structure designed to optimize essays with crisp precision and audience resonance. It integrates techniques from prompt engineering, SEO optimization, and visual correspondance — bridging wisdom with modern technology.


Prompting Techniques Used

Technique Role in Suite
Zero-shot prompting Direct semantic tasks (tags, summaries)
Instruction tuning Word limits, exclusions
Chain-of-thought Reasoning for headings and structure
Role prompting Audience framing and tone adaptation
Multi-step logic Variable chaining across modules
Visual prompting Image generation cues with symbolic and emotional parameters

Functional Modules

🧩 Semantic Metadata Layer

Purpose: Enhance discoverability and thematic clarity
Prompts:

  • Suggest content-driven tags
  • Extract two-word SEO keyword
  • Generate titles with keyword inclusion

Sample Output:

  • Tags: ancient wisdom, method framework, human technology
  • SEO_Key_Word: Human Framework

🧩 Structural Composition Layer

Purpose: Condense meaning, avoid redundancy, and increase reader engagement
Prompts:

  • Generate eclectic summary (20 words)
  • Reformulate summary in 8 words
  • Create subtitles excluding title stems

Sample Output:

A modular human framework harmonizes historic resonance with practical clarity, guiding transformation through cutting-edge methods and ancient insight.

Heritage and innovation entwine for transformative design


🧩 Narrative Architecture Layer

Purpose: Align structure with audience psychology and thematic flow
Prompts:

  • Suggest optimal headings with paragraph starters
  • Generate full paragraphs for defined audience

Sample Output:

  • Heading: Navigating the Complexity of Truth
    It's easy to get lost in a sea of information and misinformation …
  • Heading: The Key to Wisdom in Uncertain Times
    When uncertainty is the only constant, it's essential to cultivate wisdom by …

🧩 Visual Resonance Layer

Purpose: Translate symbolic essence into emotionally evocative visuals
Prompts:

  • Create featured image prompt with celestial/sci-fi elements
  • Reformulate visual prompt within 60 words

Sample Output:

Depict a glowing triadic structure floating in a nebula, surrounded by mythic humanoid figures channeling symbolic energy. Scene evokes clarity, transformation, and cosmic alignment.


🧩 Social Compression Layer

Purpose: Adapt essay for viral formats and high engagement
Prompts:

  • Generate Instagram-ready paragraph to promote core idea

Sample Output:

*Uncertainty is the new normal. But what does it mean for our opinions, beliefs, and values? It requires more than just accepting or rejecting information - it demands critical thinking *


Reflections & Iterations

Learnings:

  • Modular prompts enable systemic precision
  • Instruction tuning improves consistency
  • Visual prompting bridges emotion and concept

Next Steps:

  • Expand to multi-format outputs (audio, ritual scripts)

Repository Structure

essay-optimization-modular-prompt-suite/ 
├── README.md 
├── prompts/ 
│ ├── semantic_metadata.txt 
│ ├── structural_composition.txt 
│ ├── narrative_architecture.txt 
│ ├── visual_resonance.txt 
│ └── social_compression.txt 
├── outputs/ 
│ ├── sample_tags.json 
│ ├── sample_summary.txt 
│ ├── sample_headings.md 
│ └── sample_image_prompt.txt 
└── reflections/ 
└── iteration_notes.md

Author

Bogdan — Visionary synthesizer, poetic compression, and functional methods design.
Crafting semantic structures that guide transformation through clarity, resonance, and intention.

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Modular Prompt Knowledge Base for Optimizing Essays

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