AI Automation Use Cases Lecture

Introduction

• Discussion on AI automation use cases.
• Importance of agentic systems over the next two years (2025-2026).
• Agent building is monetizable due to a content gap.
• Automations can significantly save time, increase productivity and efficiency.

AI Foundations Community

• Community focused on AI implementation.
• Offers a classroom with basics of AI and implementation techniques.
• Provides templates and support for building automations.

Automation Use Cases

1. LLM Split Testing

• Use Make.com to test different large language models (LLMs).
• Connect various models like ChatGPT, Claude, Perplexity.
• Automate split testing prompts and recording responses in Airtable.

2. PDF Extraction System

• Automate reading and summarizing PDFs.
• Use Google Drive for storage and Make.com for automation.
• Extracts key takeaways and executive summaries in JSON format.

3. Zoom Call Input Automation

• Automate the processing of Zoom call recordings.
• Downloads transcripts, uploads videos to Vimeo, and records chats in Airtable.
• Saves significant time for repetitive tasks.

4. RSS Feed Input Type Automation

• Aggregate various content sources like news, blogs, and video feeds.
• Use RSS feeds to run automations and create content summaries.

5. YouTube Transcript Extraction

• Extract transcripts from YouTube videos using an Airtable form.
• Automates transcription process for creating content or social media posts.

6. Idea Input and Research Automation

• Automate research by submitting ideas through a form.
• Uses perplexity to perform in-depth research and create structured outputs.

7. Audio to Text in Slack

• Voice-activated automation in Slack to capture ideas.
• Converts audio to text and records in Airtable automatically.

8. iPhone Voice Input Automation

• Use Siri and iPhone shortcuts to record ideas and automate submission to Airtable.
• Example of mobile integration into automation.

9. Personal Health Automation

• Integrate personal health data (e.g., Oura Ring) with productivity tools like Notion.
• Automates tracking and logging of sleep and health metrics.

10. HTTP Requests from GPTs

• Use HTTP requests to fetch and send data between GPTs and databases.
• Enables dynamic content pulling and blog post generation from recorded ideas.

Conclusion

• Encouragement to join AI Foundations Community for deeper learning.
• Invitation to learn and implement automations for personal and professional growth.
• Subscribe and engage for more content and community involvement.