The main reason to avoid the 'platform's own AI' is data sovereignty—I don't want to feed Meta's training set.
But you're right about the friction. Managing local runtimes and config files feels like a science project, not a product.
That’s why I’ve moved to PAIO for this. It maintains the BYOK model (so you own the keys/data) but handles the integrations as a managed, one-click layer. It effectively bridges that gap between 'raw script' and 'usable product' without sacrificing the privacy aspect.
