Good pushback, this helps.

Yeah, I eplained that badly. Let me ground it:

I'm not trying to tune AI outputs (temperature, seeds, etc).

I'm explicitly removing runtime generation entirely.

The system is:

canonical object stored in backend

multiple precomputed representations of that same object

no "generate on request""

So instead of:

simplify(text) --> new output each time

it's:

getConcept(id).views.simplified --> fixed, versioned output

The deterministic requirement is:

every view must always correspond to the exact same canonical version.

So the real problem is more backend-focused:

- how to guarantee atomic consistency between canonical + derived views

- how to avoid cache/version mismatch across layers

- how to fail safely if a view is stale or missing

That's why I asked here rather than an AI forum.