Most journals record what happened. Aurix looks at how you actually behave — when you intervene, when live results stop matching the backtest, and whether your own patterns are helping or hurting.
Every failed grade gets a plain-language diagnosis of exactly which gate broke and what to try — not just a red X. Deterministic, computed from the report itself, no LLM guessing.
Live results checked against the backtest's promise, continuously. An alert fires the moment live expectancy meaningfully diverges from what the Grade said to expect.
Every manual kill-switch is logged and distinguished from an automatic risk halt. Redeploying the same agent shortly after stopping it gets flagged — a pattern worth noticing, not a judgment.
Win rate and average P&L broken down by hour, across every closed trade — so you can actually see if your own worst hours are dragging on results.
Free-text notes attached to any agent — a note to your future self about why you made a change and what you expected.
Rapid-redeploy flags and drift alerts are informational — Aurix never auto-blocks a decision or auto-resumes a halted agent. An auto-un-halting bot is worse than a halted one; the point is to show you the pattern, not to override your judgment.