Start with the symptom
A scheduled task times out, retries automatically, and submits the same AI work more than once.
Start with the symptom for “How a WordPress Cron retry loop multiplies AI charges”: A scheduled task times out, retries automatically, and submits the same AI work more than once. You must identify the real request path before a limit, webhook, or retry policy can be trusted.
List competing causes for “How a WordPress Cron retry loop multiplies AI charges”: A safe rollout needs evidence, reversible changes, and a recovery path that does not erase the incident.
List competing causes
Collect discriminating evidence for this case: Decide whether to fix the retry policy, make the job idempotent, or disable the task until its state is known.
Test in the safest order for “How a WordPress Cron retry loop multiplies AI charges”: identify the evidence that would make this proposed action unsafe—Decide whether to fix the retry policy, make the job idempotent, or disable the task until its state is known.
- Evidence 2 for “How a WordPress Cron retry loop multiplies AI charges”: request source and route
- Evidence 3 for “How a WordPress Cron retry loop multiplies AI charges”: calls per user action
- Evidence 4 for “How a WordPress Cron retry loop multiplies AI charges”: retry and timeout count
- Evidence 1 for “How a WordPress Cron retry loop multiplies AI charges”: revenue movement
Collect discriminating evidence
Record the finding for this exact problem: the acceptable end state must resolve the original condition—A scheduled task times out, retries automatically, and submits the same AI work more than once.
evidence-led diagnostic table decision for “How a WordPress Cron retry loop multiplies AI charges”: Decide whether to fix the retry policy, make the job idempotent, or disable the task until its state is known.
Test in the safest order
Build the evidence-led diagnostic table for “How a WordPress Cron retry loop multiplies AI charges.” List at least two competing causes. For each, name one observation that would support it and one that would rule it out. Test the least disruptive distinction first.
Record the finding
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