Letting a generator churn out course outlines without a strict curriculum was exactly the kind of shortcut that looks efficient until you actually read the output. Without an approved syllabus up front, the system merely assembled generic phrasing and drifted through loose associations. I put a stop to it. The structural foundation has to be validated first; only then does generating lessons make any sense.
Right behind it came the second necessary gate: evidence verification. Until we tightened the filters, half the generated materials passed as finished video drafts even when they were just inert slideshows with no real action, recycling still images, heavy jargon, and paper-thin sources. Now that shortcut is dead. If a segment fails to demonstrate genuine steps and hides behind static slides, it gets rejected immediately.
Completing this shift toward strict evidence gates finally brings order to the pipeline. No more generating into a void or fixing half-baked results after the fact. If model output is going to teach anything, it needs to stand on solid structure rather than vague improvisation.