---
# System prepended metadata

title: Untitled

---

## Process
1) Select group of wallets
    - Script to output key context about the wallets, using some combination of wallet in context labels, affiliations, and text summarization of interests  &affiliations

2) Search for relevant content, depending on newsletter use case
    - What are people in our community doing
    - What are job opportunities for people in our community to do
    - What are media updates, in terms of articles, grants, or proposals that may be relevant to people in our community (and why)

3) Return articles + context about the article
    - Author, title, date
    - Text summary
    - Collectors + WIC labels, Authors + WIC labels
    - Referenced organizations + WIC labels

4) Post-process article further
    - Query the affiliates of the articles, bring back response object with context, query GPT to ask why it would be relevant to the original set of wallets
    - 

5) Return final newsletter
    - Prompt with use case, provide relevant information, collect output
    - Further post-process, if required, for specific users



## Training data sources
- Newsletter styling
    - Substack
    - Medium
    - Mirror
    - Pallet (for jobs)
- Can scrape, but also have an email account that is subscribing to every Web3 newsletter I can find to continously source relevant data
-
- Twitter threads related to newsletters

