‘Custom Data Layers’

Two things: 1. Trainable bots. Create a ‘custom data layer’ on top of the various LLM layers. – these can be created at the admin level for assigning to various membership tiers/ gernerally across the service. – or can be created by the end users, if allowed by settings in the membership tier. – similair to insertchatgpt.com, but better. Allow connection to storage services: AWS, Google Drive, Mega.nz, DropBox, URLs, or upload from desktop; to facilitate end users (or the admin) to upload files into the system by crawling the files, ingesting the data, contextualising it and then making it accessable as a 'custom data layer'. – All files to be ingestable, including video, audio, text, PDF, epub, webpage, etc. – Allow ‘storage’ to be included in the membership tier. Charge as appropriate. 2. being able to turn off and on the various features. For example: turning off the images function, or the coding function, depending on the various membership tier setups.