This is exactly the kind of direction personal AI needs.
But if AI is owned and shaped by the user, one question becomes critical:
how do we observe whether it stays shaped by the user over time?
Personal AI will not only answer questions.
It will recommend, prioritize, remember, adapt, and eventually influence decisions.
That creates a new safety layer:
trajectory observability.
Core ASA - Asymmetric Stability Architecture is focused on detecting silent drift, intent shift, trajectory compression, and loss of human decision ownership in long-horizon AI systems.
For personal AI, this matters deeply.
Because the future should not be AI optimizing people.
It should be people owning the direction of their intelligence layer.