Note 04 · AI tools for video
The AI Tools for Video I Stopped Using, and the 4 I Would Keep
A working SaaS video producer's shortlist after testing AI tools on real projects, not demos: the one-line test that decides, the tools that stayed, and the ones that quietly disappeared.
A new AI tool for video promises to change the workflow every few weeks. I try most of them once, on a real project rather than a demo, because a demo is built to hide exactly the friction that makes a tool annoying to use on week three. Most do not make it past that first real try.
The one-line test
Before a tool earns a permanent place in the workflow, it has to answer one question clearly: does this remove a step, or does it add one more place I have to check? A tool that saves ten minutes but then needs its output double-checked every time has not saved ten minutes — it has just moved the work somewhere less visible.
The 4 that stayed
- ChatGPT Replaced juggling separate apps for copy, client communication, research and strategy. It stays because it covers the most different jobs in one window, not because any single output is perfect.
- ElevenLabs Replaced booking a voiceover artist for a placeholder track, and re-recording from scratch for every language. The localization feature alone earns it a permanent spot.
- Seedance 2.0 Replaced searching stock libraries for a shot that does not exist. Animating a generated still is faster and cheaper than finding something close enough.
- WhisperX Replaced caption tools that get 90% right and still need a full re-check. Running it through a small automation means the last 10% is the only part a human still touches.
The ones that quietly disappeared
More tools fail this way than fail loudly. Nothing breaks; a tab just stops getting opened. The pattern I notice when that happens is usually the same: the tool did the easy 80% well and then needed almost as much manual correction on the remaining 20% as doing the whole thing by hand would have — so the habit of opening it quietly stops forming.
captions.ai is the clearest case. It worked, but only locally in the browser, with no real way to edit sensibly — fix one line of copy and it would regenerate the whole thing from scratch instead of just that change. That regeneration tax was the negative game-changer: once a general tool I was already using for everything else could do the same job without it, there was no reason to keep a dedicated app around for it.
How the list gets reviewed
Roughly every quarter, not on a fixed schedule — usually triggered by a new project type or a tool update showing up in the same week. A dropped tool gets a second look when something specific changes: a feature that fixed the exact failure mode that got it dropped, or a project with different enough requirements that the old verdict might not apply. Trying a tool once and writing it off forever is just as much a mistake as trusting a demo.
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