{"slug":"this-is-greate","title":"this is greate","date":"2026-02-27","excerpt":"this is also greate","tags":["webdev"],"order":1,"published":true,"content":"

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1. The Core Strategy: Thematic Clustering

Instead of teaching random lists of words, we are grouping vocabulary by specific human experiences (like \"Conflict\" or \"Thought\"). We are building a structured database that organizes these concepts into 3 levels of difficulty:

Level 1 (Basic): e.g., look, help, fight
Level 2 (Intermediate): e.g., observe, support, argue
Level 3 (Advanced): e.g., perceive, assist, dispute

2. The Database (The JSON Map)

Before writing any stories, we generate a strict map of these word clusters. For every single word, this database must record:

The target word and its difficulty level.
The exact IPA transcription.
A number indicating exactly which syllable gets the stress (so your system can automatically bold it later).

3. The Content Rule: Identical 3-Tier Stories

When generating the reading articles, the AI must write the exact same story three times, corresponding to the three vocabulary levels.

The plot, sentence structure, and character actions never change.
The only things that change are the target words upgrading from Level 1 to Level 2 to Level 3.
The surrounding \"filler\" words must stay extremely simple so the learner only focuses on the target vocabulary.

4. The UI Goal: The Alternating Masked Text Display

Because the story remains identical across all three levels, the text is perfectly formatted for an alternating masked display. A student can read the basic story, click a button, and watch the simple words seamlessly swap out for their advanced counterparts in real-time.

5. The Engine (The Two Prompts)

To automate this, we use two separate prompts:

Prompt 1 acts as the database builder. You feed it a topic, and it maps out the 3-level word chains with all the required phonetic data.
Prompt 2 acts as the writer. You feed it the database from Prompt 1, and it writes the 3-tier story perfectly formatted for your frontend.

Would you like to move forward with testing Prompt 1 to generate a new JSON cluster, or are you ready to take these requirements and start building?