Knowing which stage a tool belongs to stops you paying for four products that half-overlap.

Article summary
The five stages of a video production workflow, which tools belong to each, what AI generation actually changed, and where teams over-consolidate.
Ask ten production teams what tools they use and you get ten answers, most of them accidental. Someone picked a storage tool in 2021, someone added a project board, and a review tool arrived because a client insisted.
That is not a stack. It is sediment.
A deliberate stack is organised around stages rather than vendors, and knowing which stage a tool belongs to stops you paying for four products that half-overlap. Here is what those stages look like now, and where the real changes happened.
Key takeaways
Two things shifted. Output expectations rose, since one campaign now means a hero cut, vertical variants, and platform-specific edits rather than one deliverable.
At the same time, generation became viable for real production rather than experiments. That did not replace a stage. It compressed one, which is a different thing and easy to confuse.
Every workflow moves through the same sequence, whatever the team size.
Most tool confusion comes from products spanning two stages badly rather than one stage well.
Nothing exotic, but this is where projects fail quietly. You need task ownership, stage visibility, and one place where the brief lives.
The failure mode is briefs living in email while tasks live on a board, so nobody can tell which version of the requirements the editor worked from.
This is the stage that changed. Five years ago every frame came from a camera or a designer. Now a meaningful share of assets are generated, particularly product work, backgrounds, motion graphics, and variants.
The effect is on volume rather than quality. A team that managed one hero video and two cutdowns can now produce the hero plus a dozen variants, because the marginal cost of the twelfth collapsed.
Tools like ImagineArt sit here, working as an AI video editor alongside image generation, so a product still and the clip derived from it come from one workspace rather than two. For teams producing both, that consolidation matters more than any single model.
What it does not do is replace a shoot. Real people, real premises, and anything needing brand-accurate likeness still require a camera. Generation fills the gaps around those, which is where the volume pressure sits anyway.
The cut itself. This stage changed least, because judgement about pacing and structure remains human work.
What changed is the input. Editors now assemble from a mix of shot footage, generated clips, and stock, which makes consistent grading and colour matching more important than before.
This is where most production time is lost, and the stage teams under-invest in most consistently.
The problem is not feedback. It is feedback arriving as prose about a moment nobody can locate, from three people who disagree, over email.
No amount of generation speed helps if approval takes nine days. Halving a revision cycle gains more capacity than doubling asset output.
Exports, formats, and the archive. Teams neglect the reuse half, then rebuild assets they already own because nobody could find them.
One tool for everything sounds efficient and usually is not. Consolidation works within a stage and fails across them.
Generation platforms that bolt on review produce weak review. Review platforms that add generation produce weak generation. Useful consolidation is narrower: images and video in one creation tool, or storage and review in one collaboration tool, rather than five stages in one product.
The test is whether the second feature is something you would have chosen on its own merits.
A modern stack is not a longer list of tools, it is a shorter one where each product owns a stage properly. Generation has compressed asset creation enough that volume is rarely the bottleneck, which means review and approval is where most teams now lose time, and that deserves more attention than another creative tool. Audit your workflow by stage rather than by vendor, find where work stalls, and fix that one. It is usually not the stage you spend most on.
Once the cut exists, collect frame-accurate feedback, keep versions together, and run the approval cycle in one workspace.