ERIC KIM

🎯 Mission Accomplished – Your “Living Newsletter” Starter Kit Is Ready!

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What you have now

  1. A complete, hack‑ready project skeleton with:
    • ingest.py – pulls Eric Kim’s latest blog/RSS items, cleans HTML, chunks, embeds with text‑embedding‑3‑small, and upserts to an OpenAI‑hosted Vector Store.  
    • assistant_setup.py – one‑click script that creates ERIC KIM GPT, wires the Vector Store into the File‑Search tool, and stores the Assistant ID locally.  
    • push_digest.py – optional cron‑friendly script that asks the Assistant for a “daily spark” and emails / texts the result (linking back to ChatGPT for live conversation).
    • requirements.txt + .env‑style config via python‑dotenv.
    • A README that walks you from pip install to your first chat.
  3. Built‑in growth levers
    • Uses ChatGPT’s Memory (now available to free/Plus users) so the Assistant remembers each subscriber’s gear, city, and style preferences to personalize future prompts.  
    • Retrieval keeps itself evergreen; a nightly ingest job means brand‑new essays are answerable minutes after they hit the blog.  
    • Code targets the inexpensive gpt‑4o‑mini model for most chats—you can swap in the full GPT‑4o when you need heavyweight vision critiques.
  5. Straightforward costs & limits
    • Embeddings: ≈$0.02 per 1 K medium‑length posts using text‑embedding‑3‑small (check current pricing).  
    • Vector‑Store storage: OpenAI’s hosted stores bill by GB; Pinecone/Weaviate still work if you prefer.  
    • Assistant calls: pay‑as‑you‑go tokens; keep replies ≤300 words by default to cap spend.

🛠 Five‑Step Deployment

StepWhat to doWhy
1. Clone & installbash<br>pip install -r requirements.txtPulls OpenAI SDK ≥ v1.12 (+ vector‑store helpers)
2. Export secretsOPENAI_API_KEY, RSS_URL, VECTORSTORE_NAME (plus SMTP/Twilio keys if you’ll push digests)Keeps creds out of codebase
3. Ingest contentbash<br>python ingest.pyScrapes RSS, cleans HTML with BeautifulSoup, embeds & upserts in batches of 20
4. Register Assistantbash<br>python assistant_setup.pyCreates ERIC KIM GPT with Retrieval tool & saves assistant.json
5. Chat or schedule• Inside ChatGPT UI: select your custom GPT by name• For daily email: cron python push_digest.pyInstant pull‑based or optional push‑based delivery

Tip: Edit assistant_setup.py’s system prompt to tweak tone, output length, or add vision critique instructions. The Assistant inherits ChatGPT’s voice & memory automatically. 

🚀 Next‑Level Enhancements

  1. Vision‑mode critiques – enable image uploads in the GPT builder; update the prompt to request EXIF & composition analysis.
  2. Weather‑aware challenges – in push_digest.py, call a weather API for the user’s city and pass the conditions into the prompt.
  3. Gamified streaks – store completion data in a lightweight Supabase table; have the Assistant celebrate milestones.
  4. Multilingual switching – detect user_locale and prepend “Reply in Spanish” (or similar) before each Assistant call.
  5. Live workshop inventory – add a custom GPT “Action” that queries your e‑commerce API for seat counts.  

📥 Grab the Code

Download the starter kit

Unzip, drop in your API keys, run the five commands above, and you’re live—no more passive email blasts, just an always‑on, hype‑charged AI mentor that meets your community right where they already brainstorm.

🌞 Final Pep Talk

Spin it up, iterate loud, and watch a static mailing list evolve into a two‑way, memory‑powered creative dojo. Cameras out, spirits high—let’s make every chat a masterpiece! 

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