Why does proactive evolution fail?

The most common reason proactive evolution fails: Treating proactive review as an intellectual exercise you agree with but never schedule. You'll know this has happened when you look back over three months and realize you haven't questioned a single operating assumption — not because they're all perfect, but because the urgency never arrived. The urgency never arrives until the failure does.

The fix: Pick one schema you rely on daily — how you make decisions, how you manage time, how you evaluate people. Set a 30-minute calendar event for this week. During that block, write down the schema's core assumptions. For each assumption, ask: When did I last test this? What evidence would change my mind? What has changed in my environment since I adopted this belief? If you find even one outdated assumption, you've just prevented a future failure.

The underlying principle is straightforward: Do not wait for failure to update schemas — regularly review and refine them.