AI Optimizing Your Website - Open Interpreter - Real Business Use Case
AI Summary
Summary: AI Optimization of a Website Using Open Interpreter
- Introduction:
- Open Interpreter is a versatile framework for running LLM codes, adjusting files, and browsing the internet.
- The goal is to optimize a website built with WordPress that has not been maintained for a while.
- Image Compression:
- Open Interpreter was used to compress and convert the first five images on the website to WebP format.
- Python libraries like requests, BeautifulSoup, and Pillow were utilized.
- Images were renamed to include the amount of kilobytes reduced during compression.
- Internal Link Checking:
- Open Interpreter found all internal links and buttons on the homepage.
- An Excel file was created with three columns: link type, text, and destination.
- Speed Testing:
- Open Interpreter measured the page loading time for pages linked on the homepage.
- Results were saved in an Excel file with links and their corresponding loading times.
- Results & Cost:
- The process was fast and efficient, providing valuable data for website optimization.
- The entire optimization process cost around $2 and took about 20 minutes.
- Conclusion:
- Open Interpreter simplifies the use of BeautifulSoup for website scraping and optimization.
- The AI performed tasks with minimal input and high precision, proving to be a cost-effective solution.
- Call to Action:
- Viewers are encouraged to ask questions in the comments, like the video, and subscribe for more content on automation.