Hi! I made it to the end of section 2 in the free material and then got a bit carried away. Returned and finished the courses after building my workspace and paid for Premium. I've a couple questions id appreciate some thoughts/guidance/insight on. 1. Cloud based workspace 2. Applying the vault 3. Creating workspaces as a service 1. Cloud based workspace I've seen (yet to read) the remote access lesson but im pretty sure this will just be operating your desktop Claude and not what im thinking. Im thinking of moving the desktop folder to the cloud using proton drive and Termux on my phone, to make it accessible anywhere. Does anyone have any better suggestions? Reasons why this might be a bad idea? The implications of doing this when there is more than just your own data in the workspace (confidential, others personal etc.) 2. Applying the vault I shouldn't have got carried away and just followed the lessons step by step. But I didnt. I've got quite meta with my workspace capabilities operating behind the actual outputs and implemented a lot of things ive yet to see covered in the lessons (basic learning loops at every HITL step, audit processes to address drift (skill level and workspace level), session continuity protocols, context mining the session at hand off for processing later into optimally formatted source material for things like content, reporting, achievements etc. There's more but i share to make the point, im a little apprehensive at running the vault. I dont know what I dont know and id hate to accidentally wipe what ive built already. Im thinking about pointing my workspace at the vault and asking it to see what we can learn and implement. Does anyone have any suggestions or insight into this that may help guide me? 3. Workspace creation as a service One of the projects ive set up in my workspace is one to create workspaces for other people without them needing to fully understand whats happening under the hood. Since signing up for Premium, I see Jake is basically doing this for us. I've got a lot to dig in to and learn but ahead of that, I wonder if anyone might be able to help prime me on this topic in particular? Any suggestions on how to approach learning this or implementing it?

Everyone wants AI to “sound like me.” So they keep fixing outputs one prompt at a time. More warm. More direct. Less corporate. More founder voice. But the model is guessing because the real *source layer* is missing. A simple fix: Separate Identity from Voice. Your identity profile tells the systm who or what must not be distorted: principles, judgment patterns, boundaries, points of view, public-use limits. Your voice profile tells the system how that identity behaves in language: tone, pacing, examples, vocabulary, anti-patterns, channel shifts. - Identity is not copy... - Voice is not strategy... - One draft is not the source of truth. First dfine what must stay true, then define how it should sound. lastly, generate the post, email, page, script, or deliverable. If you define *identity* and *voice* separately, you stop prompting for tone every time and start building a reusable writing system. Curious how others in Clief Notes are handling this: Do you define identity and voice separately, or do you keep them in one brand/persona file?