JSPM

📌 Project Overview: AI Agent SDK

Goal: Create a TypeScript SDK that takes a code snippet/script and automates the process of:

1. Explaining the code (Text Tutorial)
2. Converting the explanation to voice (Text-to-Speech)
3. Generating a video that visually simulates the code explanation (Tutorial + Voice Sync)

🧩 Key Features

• analyzeCode(code: string) → tutorial: string
• textToSpeech(text: string) → audioFile: Audio
• generateVideo(tutorial: string, audio: Audio) → videoFile: Video
• CLI and programmatic usage
• Pluggable architecture for models and rendering

🔧 Requirements

✅ APIs & Services

• OpenAI API: Code interpretation and explanation (gpt-4, gpt-4-turbo)
• ElevenLabs / Google TTS / OpenAI TTS: Text-to-Speech conversion
• Remotion / FFmpeg: Programmatic video generation from script
• Node.js + TypeScript: SDK development
• Canvas / Puppeteer (optional): Render code examples visually

📦 Libraries

• openai, axios, fs, remotion, ffmpeg-static, fluent-ffmpeg
• typescript, esbuild, dotenv, chalk (for CLI dev)
• @elevenlabs/tts (if using ElevenLabs)

🧠 Best Route to Build

1. Text Tutorial Module

   • Use OpenAI API (gpt-4) to turn code into a natural-language tutorial.
   • Prompt template: "Explain the following code in a step-by-step tutorial."

2. Voiceover Module

   • Use TTS API (OpenAI TTS, ElevenLabs) to generate a voiceover of the tutorial.
   • Save output in .mp3 or .wav.

3. Video Generator Module

   • Use Remotion or FFmpeg to:
     • Show code visually (slide-style or typing animation).
     • Sync the voiceover with timed slides or highlights.

4. SDK & CLI Interface

   • Allow importing modules via import { generateTutorial } from 'aigen-sdk'.
   • CLI: aigen --file script.ts --output tutorial.mp4

🏗️ Architecture Diagram

                     +-------------------------+
                     |  Your Script Code       |
                     +-----------+-------------+
                                 |
                                 v
                  +-------------+--------------+
                  |     Code Analyzer (GPT)    |
                  |   - Parses and explains    |
                  +-------------+--------------+
                                |
                +---------------+------------------+
                |         Text Tutorial            |
                +---------------+------------------+
                                |
                 +--------------+--------------+
                 |   Text-to-Speech Generator  |
                 | (OpenAI TTS / ElevenLabs)   |
                 +--------------+--------------+
                                |
                 +--------------+--------------+
                 |    Audio + Tutorial Script   |
                 +--------------+--------------+
                                |
                     +----------+---------+
                     |  Video Generator   |
                     |  (Remotion/FFmpeg) |
                     +----------+---------+
                                |
                        +-------+-------+
                        | Final Tutorial |
                        |    Video (mp4) |
                        +---------------+

🔜 Next Steps

• Set up TypeScript monorepo (Lerna/Turborepo optional).
• Start with core modules:
  • codeParser.ts
  • ttsEngine.ts
  • videoRenderer.ts
• Define types/interfaces (TutorialStep, VoiceOptions, etc.)
• Add CLI with commander.js or yargs.