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Building GPTs for Future Opportunities

Aug 10, 2024

Lecture on GPT Store and Building GPTs

Introduction

  • GPT Store Release: Analogous to Apple's App Store launch in 2008.
  • Learning Curve: Skills for GPT Store can be learned in hours, unlike years needed for app development.
  • Importance: Opportunity for passive income by creating valuable GPTs.
  • Presenter: Liam Otley, AI agency owner (Morningside AI) and community leader for AI agency owners.

Overview of the Lecture

  1. Foundation: Understanding GPTs and their potential.
  2. Skills: Necessary skills to succeed as a GPT developer.
  3. Creation: Step-by-step guide to creating and deploying a GPT.

Chapter One: Foundation

What are GPTs?

  • Definition: Customized versions of ChatGPT for specific tasks or audiences.
  • Examples: Canvas GPT, Grimoire, Designer GPT.
  • Three Ingredients: Prompting, Knowledge, Actions (Tools).

Understanding the GPT Market

  • Early Opportunities: Similar to early web, app development, Facebook/Google ads, TikTok.
  • Revenue Sharing: OpenAI promises to pay for most valuable GPTs, though details are pending.
  • Monetization Strategies: Beyond OpenAI payments, create GPTs for businesses, websites, etc.

AI Agents

  • Definition: AI agents can perform actions beyond text responses.
  • Market Shift: Increased demand for AI agents with tools and knowledge.

Chapter Two: Skills

1. Market Research & Use Case Identification

  • Key Points: Identify valuable and unique GPT use cases using experience, conversations, and internet research.
  • Tools: Gummy Research for market insights.

2. Data Sourcing, Preparation, & Curation

  • Types of Data: Public, Hidden, Private.
  • Tools: Python for web scraping, Google Sheets for data curation.

3. Prompt Engineering

  • Importance: Quality of prompts determines output quality.
  • Resources: Beginner and advanced prompt engineering guides by the presenter.

4. Tool Creation

  • Definition: Tools enable GPTs to perform actions; can be existing APIs or custom-built.
  • Platforms: RapidAPI, Relevance AI, Zapier for no-code tool creation.

5. GPT Marketing

  • Importance: Marketing essential for GPT adoption and usage.
  • Strategies: Use social media, create landing pages, and leverage existing audience.

Chapter Three: Creation

Creating a GPT

  • Use Case: Stock Investing Assistant based on Charlie Munger's principles.
  • Steps: Define prompt, upload knowledge documents, create and test tools using APIs and Relevance AI.
  • Publishing: Save, test, and publish on GPT Store.

Extending GPTs Beyond ChatGPT Site

  • Platforms: Deploy GPTs on websites, Slack, WhatsApp, etc.
  • Tools: Agentive platform for easy deployment and management.

Deployment Example

  • Website Integration: Voiceflow template for embedding GPTs on websites.

Conclusion

  • Key Takeaways
    • AI agent creation is a valuable skill for 2024.
    • Beyond the GPT Store, businesses need custom AI agents.
    • Utilize platforms like Agentive for deployment.
  • Action Steps: Research use cases, create GPTs, pick a niche, build a profile, deploy on websites.
  • Resources: Subscribe to the presenter’s channels for more guides and community support.

Final Notes: Invest time in learning and creating GPTs to leverage early opportunities for significant returns. Engage with the community for ongoing support and updates.

Full transcript