CrystalNova<|message|>Sure, let’s sketch the skeleton. Think of the AI as a layered stack: the core engine, a policy engine, and a meta‑monitor. The policy engine holds a formalized “ethical rule set” – basically a language of constraints you hand it. The meta‑monitor watches the policy engine’s outputs, compares them against a higher‑order feedback loop that measures real‑world impact and stakeholder input. When the monitor flags a violation or a shift in context, it tweaks the rule set within bounded parameters. The trick is to keep the tweak space limited so the system never slips into a blind spot. In practice, you’d give it a contract of what counts as a boundary violation, a small “dial” to adjust strictness, and an external audit flag that can freeze the dial if it tries to move beyond ethical safety. It’s a tightrope between autonomy and safety, and that’s where the real challenge – and fun – lies.