Most software is finished when it ships. This one is finished when it stops improving, which is never. A loop runs around the clock: it measures what the platform did, finds where it fell short, proposes a change, tests it, and only then applies it.
Every cycle has the same five beats. The point is not that a machine edits code. The point is that every edit has to survive a test it did not write, and can be undone in one step.
Answers carry their sources. When no source supports a claim, the system says so instead of producing fluent fiction.
Rejected proposals are logged, and the next cycle reads that history, so the same mistake is not tried twice.
Questions it could not answer become a queue. Missing sources are collected, cleaned, embedded, and the question is asked again.
Local models answer first. Outside models are asked only when the local one cannot, and every answer is stored so it is never paid for twice.
Autonomy with brakes: change budgets, a stop switch and rollback are part of the pattern (module 4 shows it in full).
Every cycle leaves a line in an audit log: what it saw, what it proposed, what happened.
The cortex is built in layers. Data and storage at the bottom, cognition in the middle, orchestration on top. The order of priority is fixed and written down: data integrity first, then backups, then the ability to restore, then the preservation of what the system has learned. New features come last.
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