WorldLag
An interactive simulator of WorldLag — the AI agent failure mode where an agent’s internal world model diverges from reality during long-horizon runs.
WorldLag visualizes the moment an AI agent acts on stale beliefs — reading the world at T=0, then acting at T=10 on a reality that no longer exists. Step through three production-realistic scenarios — Config Mutation, Record Deletion, Permission Revoke — watching the Belief State diverge from Current Reality in real time, with a live drift meter and timestamped agent log.
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