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Creating the base Node.js Word Play Game Data

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Overview

This course walks learners through the foundation of the LLM prediction game: how the game works, how prompts are structured, how they are generated for each day, and how LLM responses are used and tokenized. By the end of this course, you’ll have a self-contained daily dataset powering the game logic.

Syllabus

Unit 1: LLM Prediction Game Overview
Unit 2: Generating Prompt Data

Expand Breakpoints and Noun Phrases in Prompt Generator
Create Question Array with map
Generate 365 Daily Prompts Array
Save Generated Prompts to data.json

Unit 3: Selecting the Daily Prompt

Implement loadAllPrompts Function for Prediction Game
Implement the _getDayOfYear Function
Validate Prompt Count in getDailyPrompt
Implement Daily Prompt Selection Logic
CLI Test Script for Prompt Selection System

Unit 4: LLM Completion in JavaScript

Initialize OpenAI Client in llm.js
Implement getLlmResponseWords Function
Add Error Handling to getLlmResponseWords Function
Implement the _splitIntoWords Word Tokenizer
Modify getLlmResponseWords to Return an Array of Words
Standalone LLM Response Test Script

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