Raise That Flag Jack Righteous SoundBoost 3 minute 31 second real-world music video dry run and editing review

Raise That Flag: My First SoundBoost AI Music Video — Dry Run, Errors & What Comes Next

JACK RIGHTEOUS · CREATOR TOOL FIELD TEST · PART 1

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 VIDEO · FIRST CUT / DRY RUN · 3:31

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.

The creator lesson: A generated video is not automatically a finished video. The first output is evidence. Watch it, name the problems, make a better decision, then edit what actually needs fixing.

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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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:

Story and lyric alignment

Does a scene express the idea of the current verse or chorus, or is it attractive imagery that tells the wrong story?

Character identity

Does the same mysterious performer remain recognizable without accidentally revealing a face or switching appearance?

Continuity and scene changes

Do locations, props, wardrobe and story beats connect, or do scenes feel like unrelated generations?

Motion, timing and performance

Do action and transitions fit the actual music, particularly the pre-chorus, bridge and final chorus?

Technical and visual quality

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.

Your turn: After watching, which shot or transition would you change first? Share the timestamp and what you noticed in the comments. I'll use specific examples to guide the next editing test.

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:

  1. What should stay? Preserve the working scenes and the original source audio. Don't rebuild the whole film because one shot is wrong.
  2. Which errors matter most? Review the full video, record exact timecodes, and separate story problems from visual or technical problems.
  3. 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.
  4. 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.
  5. 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.
What happens to this demo? It stays useful as a version-one reference. If the next edit succeeds, we'll be able to show a meaningful before and after instead of just saying the app improved the result.

Jack Righteous · October 14, 2026 · Part 1: the deliberate dry run. Next step: review the published video and test targeted corrections. This is an in-progress creator case study, not a claim of final-release quality.

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