wenzel orlandmost AI platforms work like this: you put your data in. you train on their infrastructure. you use their models. the AI gets smarter. then you want to leave. and you discover that your 'AI' is actually their AI, trained on your data, running on their servers, accessible only through their API.
this is the SaaS trap applied to AI. and with AI, the stakes are higher. the data you put in is expertise. institutional knowledge. competitive advantage. the stuff that makes your company actually work.
at doobls, ownership means something specific. your agent memory is yours: we don't read it, and it runs on eu infrastructure. your episodic data, your narratives, your strategic workflows. all exportable via API. all deletable.
if you leave doobls, you take everything with you. the memory, the agent configuration, the behaviors you shaped. you can run the open source core on your own infrastructure and your doobls keep working. nothing is held hostage.
it's the business model. when people know they can leave, they stay longer. when they know their data is actually theirs, they put more valuable data in. trust creates depth. depth creates lock-in that's earned.
the AI systems that win will be the ones that respect ownership. people whose judgment is the work won't put their most valuable knowledge into systems they don't control. and they shouldn't.