Why You Should Use Claude Projects Over GPTs



AI Summary

Summary: AI Models Comparison and Use Cases

AI Models Overview

  • OpenAI’s ChatGPT and Anthropic’s CLA are standout AI models.
  • ChatGPT offers GPTs and Projects features for advanced interactions.
  • Anthropic’s CLA, particularly Sonnet 3.5, is recognized for its capabilities.
  • Google’s Genie 1.5 Pro is notable for its large context window and video upload feature.

Advantages of GPTs

  • Unmatched tooling with data analysis, image generation, and browsing features.
  • Ability to share GPTs with others, even without a paid plan.
  • Conversational starters and actions for API calls are available.
  • Mobile app provides convenience and context switching.

Disadvantages of GPTs

  • Anthropic’s models are often preferred for their tone and style.
  • Limited context window, although recent upgrades have improved knowledge base capacity.
  • Only one chat can be active at a time.

Advantages of CLA Projects

  • Multiple chats within one project interface.
  • Superior coding capabilities, especially with Sonnet 3.5.
  • More human-like tone and style.
  • Longer context retention in the knowledge base.

Disadvantages of CLA Projects

  • No tooling for image generation, browsing, or data analysis.
  • Search function limited to project names and descriptions.
  • No prompt presets or actions for external API integration.

When to Use GPTs

  • For sharing AI applications or prompts with others.
  • As assistants, tutors, or coaches.
  • For repetitive, specific tasks.
  • When tooling like data analysis, image generation, and browsing is needed.

When to Use CLA Projects

  • For project-based work, especially writing and coding.
  • When multiple chats and extensive context are required.
  • For exploratory work where the project’s direction is not predetermined.

Additional Notes

  • Custom instructions are crucial for personalizing AI interactions.
  • GPTs are more like recurring employees, while CLA projects are one-off endeavors.
  • GPTs are better for specific, repetitive tasks, while CLA projects are suited for broader, project-based work.

Resources

  • Free GPT Builder and newsletter subscription are available for further learning.
  • Video tutorials and examples for CLA use cases are provided for additional guidance.