lets put together a case for this:
- use our app to create a research agent to do this (create a skill with skill editor to do this):
i) use browser-use to scrape the following links:
https://www.amazon.com/s?k=instant+pot&crid=1TWGSFPWS9WG0&sprefix=instant+po%2Caps%2C238&ref=nb_sb_noss_2
https://www.amazon.com/Instant-Pot-Pressure-Steamer-Sterilizer/dp/B08PPZWNCV/ref=sr_1_4?crid=1TWGSFPWS9WG0
scrape all review, all Q&As, listing details, images, put two products into two big markdowns.
ii) put two markdowns into our knowledge base using our app.
- use our app to create a chatbot agent to do this (create as swkill with skill editor to do this):
in a finite cycle, just take user chat input, and answer questions about instant pot cooker.
lets put together a case for this:
i) use browser-use to scrape the following links:
https://www.amazon.com/s?k=instant+pot&crid=1TWGSFPWS9WG0&sprefix=instant+po%2Caps%2C238&ref=nb_sb_noss_2
https://www.amazon.com/Instant-Pot-Pressure-Steamer-Sterilizer/dp/B08PPZWNCV/ref=sr_1_4?crid=1TWGSFPWS9WG0
scrape all review, all Q&As, listing details, images, put two products into two big markdowns.
ii) put two markdowns into our knowledge base using our app.
in a finite cycle, just take user chat input, and answer questions about instant pot cooker.