Figure out how to implement chatgpt

[jasonmichels]

• do I just upload the file to the api and use a custom gpt and the chatgpt interface
• would other users have to do the same and use their own api key and custom gpt
• would i maybe integrate with the api so you can make requests from the cli instead of the chatgpt interface

[jasonmichels]

Per-Session User Data Context: Instead of creating a new custom GPT for each user, you could dynamically feed a user's notes as context for a single shared GPT instance when they interact with it. This way, each user’s data is isolated but doesn't require individual GPT instances. You can process the notes locally and only send relevant data during a session.

Token-Limited Uploads: Implement a token-based system where only a subset of a user's notes are uploaded at any given time. You could limit the size of data passed to OpenAI per request, focusing only on the most recent or most relevant notes.

API-Based Queries: Instead of uploading notes to GPT in bulk, consider querying your database of user notes directly via an API, only sending GPT the results of those queries. This keeps user data stored locally or on your servers while allowing the GPT to answer questions based on those filtered results.

Scoped GPT with User-Specific Data: If you have user-specific data processed on your side, you could use a shared GPT model but tailor the prompts by injecting user-specific context. You'd manage user data in a database or local storage and customize each session by adding their data to the GPT prompt.

On-Demand Context: For privacy-sensitive users, allow them to choose which notes are shared in a specific GPT session. This gives them control over what data gets processed and uploaded, minimizing unnecessary sharing while maintaining functionality.

Hybrid AI Model: Consider offering a hybrid model where simpler queries are processed locally or via a smaller in-house model, and more complex AI queries are sent to ChatGPT only as needed. This can reduce the amount of user data you need to upload to OpenAI.

[jasonmichels]

Enterprise ideas: User-Level Note Permissions: Introduce a tagging system that allows users to explicitly mark notes as “private” or “shared.” Only the "shared" notes would be uploaded to the company-wide custom GPT, while private notes remain for personal use and query.

Role-Based Access: Implement role-based permissions where certain users (e.g., admins or managers) can access shared notes, but only the note owner can query or view their private notes. This keeps sensitive information secure but allows broader access to non-sensitive notes.

Separate GPT Instances: For larger enterprises, you could consider having separate custom GPTs—one for personal queries (using private notes) and one for the company-wide query (using shared notes). This would prevent mixing personal and shared data while maintaining flexibility.

Note Sharing Approval: Allow users to mark notes for review before being added to the shared pool. This way, sensitive information isn’t accidentally shared, but relevant knowledge can still contribute to the company’s knowledge base.