The appealing version of an AI filmmaking pipeline is a single instruction that turns into a script, cast, storyboard, shots, voices, music, and an edit. The practical question is what happens between those stages. A character can be perfectly described in the script and still show up with a different coat in the image reference. A storyboard can look coherent while the generated action reverses the position of a prop. A voice can be consistent yet land on the wrong side of a cut. Adding more automation may move the problem downstream rather than remove it.
Before planning a feature or even a long episode, I would run a small handoff test. Write one scene with two characters, one location, one movable object, and a clear change by the end. Keep it short enough to inspect without losing a day. Make the scene bible concrete: who owns the object at the start, where each person stands, which direction they look, and what must be true in the last shot. The point is not to prove a model can write a plot. It is to give every later stage the same facts to preserve.
At the script-to-storyboard handoff, ask whether a person who has never read the prompt can tell what each shot contributes. If a panel exists only because it looks exciting, mark it optional. At the storyboard-to-clip handoff, compare the first and last frames of adjacent shots. Track character clothing, screen direction, prop location, and the time of day. A shot that passes as a standalone demo may break the sequence when it sits beside its neighbor. At the clip-to-edit handoff, listen to the voice and sound without watching, then watch the picture without sound. This separates a performance problem from a visual continuity problem.
Give the pipeline an explicit stop rule. If the same character detail fails twice, update the reference or scene constraints before asking for a dozen more shots. If the action requires a complex continuous take, consider dividing it into an establishing view, a close action, and a reaction. If the edit only works because dialogue explains what the images fail to show, revise the scene rather than polishing the score. Human approval at each stage can be lightweight: accept, revise this one asset, or change the plan. It does not have to mean manually doing every technical task.
I would also keep a versioned source of truth for the scene, with approved references and the reason each shot was kept. Otherwise an automated re-run may quietly replace a good character image or regenerate a location with different geometry. When evaluating a new all-in-one tool, ask it to handle this one small scene and show where you can intervene. That tells you more than a glossy end-to-end demo. The useful outcome is a process that can be corrected without rebuilding everything from the original prompt. Which handoff would you test first: story to boards, boards to clips, or clips to the final cut?