Here’s a rundown of the open AI podcast show notes stuff I’ve been working on for the new syntax website.
Css Margin Trim
One Variable Multiple Esm Imports
Does Code Quality Matter Anymore?
Someone asked why I would use tagging instead of vector embedding + clustering
I just tested it but find it hard with data that is faceted. Apple products grouped together, but keyboards and monitors aren't.
I think next I'll try cluster the tags themselves into "areas"? 
Also getting icons for every single product was a few step skill:
1. "Enrich" the product, but asking an LLM to explain what it is and provide the URL from web search. Save to DB.
2. Ask the LLM to find an icon for that product - searching though 4-5 resources for the icon, and falling back to a favicon if none found
3. Write a script to figure out if the icon was black/white/color. Invert color if black.
Almost every one is correct because it understands the context of the site. "basecamp" could be anything, but it nailed it.