Generic AI content usually starts with generic inputs Most AI-generated social content fails before the model writes the first sentence. The failure is upstream. The system does not know the speaker’s voice. It does not know the audience. It does not know whether the goal is authority, distribution, conversion, or clip selection. It does not know what a good LinkedIn post looks like versus a good Instagram caption. So it produces the safest possible average. That average is what people call “AI slop”. I used to think the hard part was getting the model to produce something useful. The harder part is designing the workflow so the model receives: - The right context - The right examples - The right constraints - The right quality bar The prompt is not the system. The model is not the workflow. If the workflow is under-specified, the output will be too.
