u/meet_og

So I’ve been experimenting with a more structured workflow where the system starts with a single prompt then plans the sequence scene-by-scene before generation instead of treating the whole film as one giant prompt.

Made this 40s cinematic train sequence using that approach.

Prompt:
“Create a cinematic travel film for a remote mountain railway in winter. Show snow, steam, steel, cold morning light, and small human moments inside the train. Let the film feel poetic and grounded, with connected scene transitions that make the journey feel continuous and real.”

Workflow was roughly:

• storyboard planning
• scene-level visual mapping
• different continuity strategies per shot
• chaining from previous scene endings when needed
• automatic clip generation + sequencing

Some scenes start fresh.
Others inherit visual continuity from previous shots.

The interesting part for me is that the workflow stays editable at the scene level instead of locking everything into one generation pass.

Attached:

1. final output
2. visual planning workflow before generation

Still seeing limitations with:

• object permanence
• dynamic motion consistency
• maintaining identity through complex camera movement

But orchestration/control feels like the bigger unlock now, not just raw generation quality.

Curious where people think this goes long term.

If future models eventually generate perfectly coherent long-form films on their own, does that actually reduce creative control for filmmakers?

Feels like the more interesting direction might be systems where the AI handles execution, but humans still shape pacing, continuity, scene structure, and intent at a granular level.

Experimented with a fully AI-generated faceless short around the idea that “people aren’t lazy.”

Exact prompt used:

“make a short video for insta reel saying people arent lazy, its just something deeper going on. make the visuals really dark, minimal, and slow. make it feel heavy and psychological, but keep it simple. video should be 30-40s.”

The system handled:

• scripting
• narration flow
• visuals
• captions

Still rough around the edges in some places, but honestly surprised by how coherent AI faceless workflows are becoming.

Made this cinematic AI car trailer from a single prompt.

Typed a prompt, and the system generated the storyboard, visuals, pacing, and sequencing automatically.

Prompt:
“create a 30s futuristic car trailer. make it super intense and cinematic. start with dark macro close-ups first, then a crazy high-speed tunnel run.”

Workflow was basically:

• prompt input
• AI-generated shot planning
• automatic model selection
• clip generation
• automatic sequencing

In this case, the agent automatically selected Seedance 2.0 based on the cinematic style and motion requested in the prompt.

No manual editing or compositing in this version. Total generation time was around 10 minutes.

I’m building the system used here, so obviously biased, but the orchestration/model-selection side is honestly becoming more interesting to me than the raw generation itself.

Still seeing issues with:

• consistency across shots
• realism in motion
• occasional physics artifacts

But compared to even a year ago, the jump in cinematic coherence is pretty wild.

Curious where people think the ceiling is for AI-generated cinematic content.