I’m running into an issue where dozens of tasks keep failing over and over. It’s burning through my credits, so I end up buying more and still getting nothing in return. At this point it genuinely feels like I’m pouring money down the drain, and it’s really frustrating.
Is anyone else encountering similar issues?
I’ve personally experienced repeated Codex task failures and rapid credit depletion, and from observing recent system behavior, it is clear that the root cause lies in how long or complex tasks are processed, as tasks often start, hang, or fail silently while credits are still consumed. The professional approach is to restructure your workflow by breaking large tasks into smaller, manageable chunks the model can handle, testing each chunk on sample data before running the full task, and monitoring outputs in real time to stop any stalled processes. Using the latest code-focused models instead of older Codex endpoints helps avoid silent failures. This strategy minimizes wasted credits, ensures every unit of usage is effective, and provides detailed logs that give you leverage if you need to engage support for repeated failures.
AI’s cannot experience things.