AI-Assisted Production

Project: Mainstream Realism – AI Production Feasibility Study

The Objective: To transition from experimental, niche aesthetics into high-fidelity mainstream cinematography. The goal was to prove that a single creator can replace a full-scale music video production crew by leveraging a professional AI pipeline to achieve hyper-realistic “summer aesthetics” and believable human performances.

Technical Stack:

  • Visual Generation: Google Flow

  • Assembly & Color: CapCut

The Strategy: Professionalism at Scale

  • Photorealistic Feasibility: Developed a workflow focused on skin texture, natural lighting, and environmental physics to bridge the “uncanny valley.” The result was successful enough to prompt viewers to question if the footage was captured on a physical set.

  • Persistent Character Logic: Solved the “consistency hurdle” by maintaining 1:1 character integrity across diverse lighting conditions and summer environments, ensuring a cohesive narrative identity.

  • The “Solo Crew” Pipeline: Acted as Director, Cinematographer, Editor, and VFX Supervisor. This project serves as a proof of concept for high-output, commercial-grade music video production without the overhead of a traditional crew.

Project: Industrial Narrative Music Video – AI Production Study

The Objective: To develop a high-fidelity, narrative-driven music video, focusing on extreme visual consistency and cinematic texture without a physical production set.

Technical Stack: Google Flow 3.0 (Visuals) | ACID Pro 10 (Audio Production) | CapCut (Post-Production & Edit)

The Strategy:

  • Character Integrity: Developed a bespoke workflow to ensure 1:1 character consistency (outfit, facial structure, and lighting) across 25+ generative scenes—solving a major hurdle for narrative AI storytelling.

  • Cinematic Lighting: Focused on high-fidelity “Atmospheric Noir” aesthetics to demonstrate control over virtual cinematography and skin-texture rendering.

  • Frame-Accurate Synchronization: Manually synchronized the generative assets to the ACID Pro-produced soundtrack, ensuring the visual pacing matches the industrial rhythm of the track.

  • Production Efficiency: Completed full production (concept to final render) in a fraction of the time required for traditional 3D animation, proving a repeatable pipeline for high-output creative content.

AI Case Study: “Hands in the Air” Music Video

My goal was to create a visually dynamic music video for my “Hands in the Air” remix. I used this project to master a complete generative AI workflow, from initial concept to final edit.

The project’s challenge was not just to create abstract visuals, but to execute complex, specific creative goals.

Project Highlights

This project pushed beyond simple AI generation and focused on three key technical achievements:

  • Real-World Integration: Seamlessly inserting real-life individuals (myself and German MC H.P. Baxxter) into fully-generated AI environments.
  • Digital Recreation & Aging: One of the most complex tasks was digitally recreating the original song’s vocalist and realistically aging him by 30 years.
  • Cohesive Narrative: Structuring hundreds of generated clips into a coherent story that syncs perfectly with the music’s energy and structure.

Core Tool Stack

This video was created using a multi-layered workflow, with specific tools for each part of the process.

  • AI Video Generation: Google Veo
  • AI Image Generation: Google Whisk
  • Prompt Engineering & Refinement: Google Gemini 2.5 Pro & ChatGPT
  • Final Assembly & Edit: Adobe Premiere Pro

The Final Edit

All AI-generated video and image assets were brought into Adobe Premiere Pro. This is where the final story was built. The clips were professionally edited, sequenced, and timed to the music to create the final, polished music video.