Design & Media: Creating High-Control Narrative Content via Multimodal Workflows

Creative Stack & Specs

• Core Toolset: Suno (Audio) + ChatGPT (Prompt Engineering / Image Generation guidance) + Gemini (Frame-by-frame Motion Controling or certain image inputs for motion) + iMovie (Post-production editing).
• Target Medium: Lyrical music video with custom directed visuals and synchronized audio.

Note regarding secondary tool mentioned in source content ($Notebook_for_$Short):

• Secondary Core Toolset: Google NotebookLM Studio (Automated Short Generator).
• Target Medium: Vertical 60-second Shorts/Reels.

Step-by-Step Production Workflow - Manual Cinematic Method

1. Write original lyrics manually to establish the creative foundation.
2. Use `Suno AI`to generate high-fidelity audio tracks based on written lyrics.
3. Iteratively prompt `ChatGPT` through dozens of attempts (`manual attempt loop`) to secure exact visual elements required for each scene via text instructions.
4. Input those waypoints into `Gemini`, directing it frame-by-frame using up to `10-20 revisions per shot`. This ensures that moving images match internal mental own direction rather than random outputting properly.
5. Assemble all hard-won clips, assets, or footage within `iMovie` to piece together a cohesive story through final editing.

Step-by-Step Production Workflow - Automatedget(s) method in NotebookLM

1. Open any notebooker ($Notebook_in_$browser_or_app).
2. Navigate to the right column labeled `Studio`.
3. Select Video then click Short (targeted at Google AI Ultra and Pro subscribers/English language content only).
4. Define enough focus by setting a specific theme or custom topic inputsthen press Generate.

Style Consistency & Quality Controls

• Strict Creative Direction: Refusing certain outputs (

! DYOR (Do Your Own Research)