Research for One-Person Startups Using AI#

Finding AI Business Strategies You Can Execute Alone#

Table of Contents#

1. Introduction: Getting Started

   • The Evolution of AI Technology and the Potential of One-Person Startups

2. Key AI Concepts

   • Key AI Concepts (1): AI (Artificial Intelligence), Machine Learning / Deep Learning, Training Methods in Machine Learning, LLM (Large Language Models)
   • Key AI Concepts (2): Fine-tuning, RAG (Retrieval-Augmented Generation), Function Calling, MCP (Model Context Protocol)
   • Key AI Concepts (3): Prompt Engineering, Context Engineering

3. Key AI Services and Tools

   • AI Services and Tools (1): ChatGPT (Sora, GPTs), Gemini, Claude, Perplexity, LLaMA
   • AI Services and Tools (2): OpenAI API Overview (Text generation, Function calling, Image generation, Vision, Text to speech, Speech to text, Moderation, Assistants)
   • AI Services and Tools (3): Hugging Face, LangChain, Image / Video / Music generation tools, Copilot, Cursor, AI browsers

4. AI Use Cases

   • AI Use Cases - Boosting Work Productivity
   • AI Use Cases - Business Ideas

5. Marketing (Planned)

6. Conclusion: Final Thoughts (Planned)

About This Book#

This book contains research on how to operate a startup solo by leveraging AI technology. Written from a developer’s perspective, it covers key AI concepts, available services and tools, and practical implementation strategies.

Target Audience#

• Developers or startup founders with technical backgrounds
• Those who understand server-client architecture and API concepts
• Anyone looking to apply AI technology to their business