Setting up an Assistant that would coach multiple users
If you are looking to create an AI math coach for an application with specific rules and guidelines, along with core files to be used across all instances, while also providing a personalized experience for each user, there are a few considerations to keep in mind.
Managing User Interactions
If you decide to create a new assistant for each user interaction, it is important to ensure that the core prompts and past data are fed into it accordingly. This approach can be effective in providing a personalized experience for each user.
One approach is to set up an "assistant" on your server upon instantiation, passing all core prompts and using that instance across all users but creating new threads for each interaction. However, this method may raise concerns about privacy as each user would have access to discussions from other users.
Another approach is to create a new assistant for each user interaction, feeding it with the necessary core prompts and past data. While this method may be effective, it may not be the most cost-efficient solution.
Recommendation for Setup
It is recommended to share one assistant across multiple users, as it functions based on a set of instructions and ensures that each thread is independent from the others, thus eliminating the risk of information leak.
It is important to note that there is no limit to the number of assistants that can be created, and threads are automatically cleared after 60 days of inactivity, ensuring data privacy and security.
The only scenario where one assistant per user is necessary is when users need to upload files, as this could potentially compromise the assistant's integrity by pulling in files from various threads.
In conclusion, setting up an assistant to coach multiple users can be effectively achieved by sharing one assistant across users, with the necessary precautions in place to maintain data integrity and privacy.
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