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Case study: Blue Bike

Breakdown

An AI-enhanced short-form video commercial

Generative AI tools are reshaping creative workflows by streamlining complex visual storytelling and enhancing video production processes. The Blue Bike campaign, developed as a case study by student Daan Van Sichem for advertising agency deBottomline and their client Bluebike, demonstrates how generative AI can amplify creative storytelling, providing imaginative visuals while preserving authentic human emotion.

This short-form video commercial was crafted to highlight the ease and emotional release offered by the Blue Bike service. It contrasts the chaos of daily work-life with the tranquility of cycling, conveying the brand’s promise: effortless travel, stress-free commutes, and emotional well-being.

At the core of the Blue Bike commercial is the interplay between stress and serenity. The narrative follows a young woman transitioning from a chaotic work environment to a peaceful, liberating ride through the city. The visual storytelling shifts distinctly – from rapid cuts and overwhelming office sounds to smooth, flowing cycling sequences. Generative AI significantly supported this narrative transition, allowing for creative and compelling visual effects that heightened the contrast and reinforced the campaign message.

Let’s delve deeper into how generative AI enhanced this creative vision through a structured AI-enhanced pipeline:

The project began with ideation using ChatGPT. Initial concepts were generated by inputting rough ideas and scenarios, allowing the AI to refine and diversify creative approaches. ChatGPT helped structure narratives, expand story arcs, and deepen thematic elements such as humor, realism, and relatable commuter situations.

Benefits of using ChatGPT:

  • Efficient generation of diverse scenarios
  • Quick iterations and refinements
  • Enhanced narrative structure

Visualizing concepts effectively was crucial. Midjourney facilitated rapid generation of moodboards and style references to clearly convey the intended visual direction of the commercial. Imagery reflecting urban environments, cycling perspectives, and atmospheric conditions were created, providing a clear aesthetic guideline.

Why Midjourney?

  • Quick visualization from textual descriptions
  • Effective communication of visual ideas
  • Broad stylistic exploration

LTX Studio’s AI Storyboard Generator significantly accelerated the pre-production process. A detailed script was fed into the tool, resulting in automatically generated storyboards. These storyboards were easily customized using erase and generative fill tools, saving hours of manual drawing and editing.

An animatic was quickly assembled within LTX Studio, incorporating basic motion, sound effects, and music, allowing rapid prototyping and clearer visualization of the final video.

Key advantages of LTX Studio:

  • Fast, editable AI-generated storyboards
  • Customizable camera angles and shot types
  • Rapid creation of animatics

Eleven Labs was used to produce a convincing Flemish voice-over, chosen specifically to resonate with the Belgian target audience. Settings were fine-tuned to match the intended tone, intonation, and authenticity required for emotional impact.

Eleven Labs highlights:

  • Realistic voice synthesis
  • Regional dialect and intonation control
  • Quick adjustments and iterations

For this step, selected images from Midjourney were animated into brief video sequences using Runway Gen-3 Alpha, an AI-driven video tool designed to transform static images into cinematic motion shots.

The goal of integrating these AI-generated sequences was to enhance the emotional narrative of the commercial by creating quick, dynamic transitions emphasizing stress and disorientation experienced during a busy workday. Specifically, the sequences included:

  • X-ray-like imagery: Abstract visuals such as cross-sectional shots of a human leg and brain, symbolizing internal tension and mental strain.
  • Falling coffee beans with lightning: A surreal visual metaphor emphasizing chaos, stress, and abruptness.

These short yet powerful AI-generated clips acted as symbolic interstitials, reinforcing the intensity of the work environment and creating visual transitions impossible to achieve through traditional filming techniques.

By strategically placing these dynamic shots between live-action sequences, the commercial effectively captured viewers’ attention, highlighting emotional contrasts and enhancing the overall cinematic impact of the video.

Live-action footage remained essential for conveying authentic emotions and realistic human interactions. High-quality filming equipment such as the Canon EOS R5C and anamorphic lenses were employed. AI-supported pre-production ensured efficient filming schedules and resource management.

Footage was methodically planned using detailed shot lists and breakdowns, maximizing shoot efficiency. Plenty of time was reserved for location scouting, test shots and gear testing.

Post-production utilized AI tools primarily for enhancing and streamlining processes:

  • Adobe Premiere Pro’s Auto Transcribe rapidly generated accurate subtitles.
  • Auto Color Correct (Adobe Sensei) swiftly handled initial color correction tasks.
  • Runway Gen-3 Alpha’s Expand Video feature enabled seamless integration of horizontal footage into vertical formats without quality loss.

AI Contributions in post-production:

  • Significant time savings
  • Consistent visual quality
  • Streamlined technical tasks

The project underwent iterative testing and feedback cycles, leveraging quick adjustments made possible by AI-driven workflows. Multiple rough cuts were created, shared with stakeholders, and rapidly adjusted based on feedback.

The iterative approach, empowered by AI-driven efficiencies, enabled continuous refinement of storytelling clarity, visual consistency, and emotional resonance.

Here’s the final result:

Takeaways for your projects

The Blue Bike commercial clearly demonstrates the value of generative AI as both a creative and technical asset in video production. Key lessons include:

  • Combine strengths: Blend generative AI for conceptual exploration, complex visual effects, and impossible camera shots with traditional filming for authenticity and emotional depth.
  • Streamline repetitive tasks: Leverage AI for storyboarding, transcribing, color correction, and other repetitive tasks to significantly boost productivity.
  • Embrace iterative workflow: AI tools enable rapid iteration and feedback integration, crucial for creative refinement.
  • Balance authenticity and innovation: While AI excels at imaginative visuals, human-directed storytelling remains key for authenticity and emotional connection.

Ultimately, generative AI isn’t just another tool – it’s a collaborative partner in the creative process, expanding possibilities while streamlining production.