week1.txt

Startup and Gentle Pass-off to User
Initialize Environment: Add code to initialize the environment, load necessary modules, and set up any required variables.
Load AI Model: Load the pre-trained AI model into memory.
Startup Message: Display a welcome message or instructions.
User Authentication: Optionally, authenticate the user.
Pass-off Control: Implement a loop or event listener to wait for user input and respond accordingly.
Conversation Spooling into a Repository
Create Repository: Set up a database or file system to store conversations.
Capture Conversations: Modify the script to capture both user input and AI responses.
Save to Repository: After each interaction, save the conversation to the repository.
Periodic Learning: Implement a function to trigger re-training of the AI model based on the new data.
Access Control: Make sure Pyander has the necessary permissions to read from this repository.