Raise That Flag: My First SoundBoost AI Music Video — Dry Run, Errors & What Comes Next
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Raise That Flag: My First SoundBoost Music Video Is a Dry Run—and That's the Point
I made a full-song AI music video knowing it wouldn't be the final version. There are significant mistakes in the first cut, and I'm sharing the process anyway. Here's why that imperfect first attempt is useful—and what I plan to change next.
Project: Raise That Flag v2 · Song length: 3:31 · Tool: SoundBoost AI Music Video Generator · Status: First-pass demonstration, not a finalized music-video release
Watch Raise That Flag — my first-pass SoundBoost music video
The demo is live. Watch the real first pass.
Watch the Raise That Flag dry run directly on YouTube →
This is an intentionally early working version, not my final music-video release. I kept the first pass even with significant mistakes because the next step is to find the errors, decide which shots to keep, and learn how to improve the existing film.
Watch it as a creator, not just as a finished entertainment product. What did the software manage to build from the song, brief, character reference and storyboard? Where did creative judgment and editing become necessary? Those are the questions this first pass helps us answer.
Why publish a video before it's perfect?
When I test a new creator app, I don't want to spend days describing its promises without making something. I want to put a real project through it, see where it helps, identify where creative control is lost and figure out what it takes to improve the result.
Raise That Flag is about hard-earned experience: late rent, long years, setbacks, rebuilding and choosing your own road. It also moves beyond one person's victory toward the people who can benefit from what that person has learned. That theme made it a strong song for a real narrative video test, rather than a random technical demo.
I approached the first cut deliberately quickly. This is a dry run / pre-final edit: a first usable pass through the tool's process, not a declaration that the output is finished or flawless.
What went into the first SoundBoost test?
For the full app overview, plans, rights considerations and feature explanation, start with the SoundBoost AI Music Video Generator Guide. This article is different: it's about the actual creative sequence and what we can learn by producing a real song video.
- Start with the keeper song. I used Raise That Flag v2, a 3-minute, 31-second source recording. I wanted a video made around an existing track, not a new song or a generic short clip.
- Choose a visual identity. The central performer remains deliberately mysterious. The visual character brief calls for a dark-clothed adult seen from behind, with the face hidden. Maintaining that mystery is a creative requirement we can now evaluate against the generated footage.
- Define the story from the lyrics. The message is earned independence and using twenty years of experience to build something meaningful—then bringing others forward. That story deserves a coherent visual journey instead of unrelated imagery.
- Build and approve the storyboard. I reviewed SoundBoost's storyboard and approved it as a first-pass direction. I chose to move ahead even though this wasn't intended to be my final polished version.
- Generate the complete film. The first pass used SoundBoost's 768p Cinematic setting. The intent was to see an entire song-to-video workflow, including how the proposed scenes behave once the tool turns them into moving pictures.
- Publish the result as a demonstration. Instead of quietly discarding an imperfect draft, I'm using it to document the starting point for a repeatable edit-and-improve workflow.
That's enough for a useful first test. It gives us something concrete to assess before committing time to more complex revisions, new imagery or a higher-fidelity final export.
The mistakes are not the end of the story
I can already tell there are significant errors in the first cut. I'm not going to invent an itemized defect report before I review and timestamp those problems carefully. Nor will I pass off an unfinished demo as a final creative release.
What matters next is giving each issue a name. These are the categories I will be checking as we review the finished video:
Does a scene express the idea of the current verse or chorus, or is it attractive imagery that tells the wrong story?
Does the same mysterious performer remain recognizable without accidentally revealing a face or switching appearance?
Do locations, props, wardrobe and story beats connect, or do scenes feel like unrelated generations?
Do action and transitions fit the actual music, particularly the pre-chorus, bridge and final chorus?
Are any visual artifacts, awkward movements, distracting details or render issues strong enough to justify targeted rework?
These are review checkpoints, not claims that every issue appears in this video. I'll identify the actual problems from the export and record timecodes before deciding which corrections are worthwhile.
Next: how to edit an existing AI music video
This is the part I particularly want to develop. Generating a first version is useful; understanding how to correct and improve the existing work is what makes the tool practical beyond one exciting demo.
Our next installment will follow the actual SoundBoost edit workflow and answer five questions:
- What should stay? Preserve the working scenes and the original source audio. Don't rebuild the whole film because one shot is wrong.
- Which errors matter most? Review the full video, record exact timecodes, and separate story problems from visual or technical problems.
- What can be edited in place? Check which changes SoundBoost supports for existing scenes, storyboards, prompts and motion clips rather than assuming every edit works the same way.
- What will the correction cost? Inspect any credit estimate before confirming retakes or regeneration. Compare the value of fixing a scene against keeping the first pass.
- How do we know the next version is better? Export, compare the same moments side by side, keep a version record and decide whether the video is ready to publish as a final release.
Explore the app and connected creator resources
Use the right resource for the job you're doing. If you want to understand the app first, start with the overview. If you want to compare tools, visit the free tool hub. If you are planning a music-video narrative, use the visual planning resources.
SoundBoost: features, pricing and workflow
Read the JR SoundBoost overview and review guide →
Understand the upload-to-storyboard-to-video process and decide whether it fits your own song.
JR AI Creator Tools Lab and directory
Browse free app reviews and field tests → · Visit the Creator Tools Directory →
Find practical tool comparisons and connected resources without starting from scratch.
Build a more coherent visual world
Use the AI Cinematic Storyboard Guide → · Compare AI music video creation tools →
Use a planned character, meaningful scene progression and specific creative decisions before investing in another render.
The song and album behind this experiment
Raise That Flag — Building My First Suno Album in Public →
See how the track connects to a larger creator project.
Want to test one of your own songs?
Inspect the current features, examples and terms on the provider's website. Start with the scope of the video you actually need.
Explore SoundBoost →Sponsored resource. Tool access, credit costs and commercial-use rules may change; review current provider terms.