"I’m Fine” (When You’re Actually Not)

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  A familiar setting: music, community, and the feeling that everything looks fine on the surface.

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  A performance that sounds light and catchy while carrying something heavier underneath.

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  The phrase we say automatically - not a lie, just a habit learned to keep moving.

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  Singing about everyday stress without lecturing, using humor to open the door.

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  If it feels familiar, that’s the point. If it makes you smile first, that’s okay too.

Inspiration

“I’m Fine (When You’re Actually Not)” came from noticing how often people use the phrase “I’m fine” as a default response - not because it’s true, but because it’s expected. In modern life, stress, pressure, and emotional weight are often normalized, hidden behind productivity, humor, and routine.

This project explores that quiet contradiction through music and visuals that feel familiar, light, and slightly ironic.

What It Does

The project is a short GenAI-assisted music video that moves through recognizable everyday moments - work stress, health advice overload, financial pressure, digital connection paired with loneliness, and the habit of managing appearances instead of addressing causes.

The tone is intentionally accessible and slightly sarcastic, allowing serious topics to be explored without feeling heavy-handed or preachy.

How It Was Built

The video was fully assembled and edited in CapCut, which served as the final storytelling layer.

CapCut AI was used for captions, image-to-video generation, and visual refinement

NanoBanana Pro (inside CapCut) was used to generate first-frame images

Dreamina was used to create additional AI-generated visual performance clips

Suno was used to generate the music and vocals

All elements were brought together and refined in CapCut to ensure consistent pacing, tone, and emotional flow.

Challenges

One challenge was balancing humor with sincerity - keeping the project relatable and light while still letting the message land. Another was maintaining visual and emotional consistency across AI-generated clips created with different tools.

Careful editing and pacing were essential to make the final piece feel intentional rather than fragmented.

What I Learned

This project reinforced how generative tools can support storytelling when they’re used with restraint and a clear creative vision. AI accelerated production, but meaning still came from human choices - tone, sequencing, and what moments were allowed to breathe.

Credits

Lyrics, music, vocals, and visual concept by Sam Lee (with AI assistance)

Built With

• capcut
• capcut-ai-(captions
• dreamina
• image-to-video)
• nanobanana
• nanobanana-pro-(inside-capcut)
• suno