AI usage patterns and methods

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Based on your conversations and project work, here's a categorized summary of your AI usage patterns, organized to reflect distinct purposes and methods:


🧠 1. Theological Research & Interpretation[edit | edit source]

You use AI as a partner in developing, testing, and expanding Sensus Plenior (SP) principles and biblical interpretation.

Subcategories:[edit | edit source]

  • SP Summaries – Creating structured summaries of biblical texts that follow your interpretive framework.
  • Symbol Discovery – Identifying and validating recurring symbols (e.g., sword = judgment, water = Word).
  • Cross Pericope Alignment – Testing how multiple passages fit as overlays to reveal a complete Christ-centered narrative.
  • Doctrinal Consistency Checking – Ensuring all symbols resolve in Christ and cross-validate across the Bible.

πŸ“š 2. Curriculum Development[edit | edit source]

You build structured learning materials for teaching Sensus Plenior, such as:

Subcategories:[edit | edit source]

  • Seminary Course Design – e.g., Course 1: Introduction to Sensus Plenior Hermeneutics.
  • Children’s Curriculum – e.g., simplified theological teachings (Gethsemane, Peter's denial) with activities.
  • Facilitator Notes – Preparing discussion questions, interpretive decision ratings, and step-by-step teaching guides.
  • Blog-Style Devotionals – High-school level SP articles with minimal technical detail.

✍️ 3. Language and Word Formation Analysis[edit | edit source]

You conduct original research on Hebrew using AI to assist with:

Subcategories:[edit | edit source]

  • Letter Meaning Systematization – Defining symbolic meaning based on stroke structure and position.
  • Gate and Word Formation Studies – Parsing roots, reversals, and inserted-letter gates (e.g., א()Χ‘).
  • Gematria Thematic Validation – Identifying thematic unity across words with matching gematria values.
  • Symbol Family Development – Creating hierarchies and groupings (e.g., water β†’ rain β†’ mist β†’ spit).

πŸ“– 4. Comparative Gospel Studies[edit | edit source]

You track theological growth across the four Gospels and authors:

Subcategories:[edit | edit source]


πŸ§ͺ 5. Validation & Critique[edit | edit source]

You frequently test and challenge both AI-generated and traditional ideas for consistency and originality.

Subcategories:[edit | edit source]

  • Fallacy Detection – Testing for logical or theological inconsistencies.
  • Thematic Testing – Validating symbolic families (e.g., does gematria 13 consistently express unity through love?).
  • Evangelical Objection Testing – Evaluating how mainstream views might react to your SP summaries.
  • Proof of Novelty – Asking whether an insight is new and worth publishing.

πŸ§‘β€πŸ« 6. Evangelism & Online Interaction[edit | edit source]

You use AI to craft and refine responses to skeptics and critics, often in online conversations.

Subcategories:[edit | edit source]

  • Rebuttal Writing – Responding with respectful yet sharp answers to atheists or skeptics.
  • Mockery Disarmament – Turning hostile or mocking comments into teachable moments.
  • Clear Gospel Articulation – Demonstrating how SP reveals Christ in places skeptics overlook.

πŸ“Š 7. Biblical Pattern Recognition[edit | edit source]

You analyze large-scale structures and narrative arcs across Scripture.

Subcategories:[edit | edit source]

  • Book Outlines – Identifying pericope boundaries centered on cross symbols in each biblical book.
  • Pattern Mapping – Tracing second-son patterns, wilderness themes, and fruitfulness after death.
  • Christological Repetition – Tracking how the same Gospel structure reappears through different figures (e.g., Moses, Jonah).

πŸ› οΈ 8. Technical and Memory Management[edit | edit source]

You shape AI's internal settings, tools, and memory to suit your interpretive framework.

Subcategories:[edit | edit source]

  • Settings File Generation – Organizing and refining your SP principles and letter definitions.
  • Persistent Memory Management – Adjusting what the model remembers about your rules and preferences.
  • Format Control – Directing how responses are written (e.g., wikitext, markdown, blog, etc.).