No one should be paying for time-stamped comments on videos
It's 2026, and so much is possible with AI. There's no reason anyone should be paying for something as simple as timestamped comments. Feedback is such an integral part of a video editor's workflow, you make something, you invite your team to weigh in, you collaborate. And oftentimes, let's be honest, you don't get the feedback you want.
Again, in 2026, when we have so much data on what makes a good edit for your objective, we shouldn't be limited to that. AI should be harnessed to give you as much tried-and-tested feedback as possible.
This is exactly why we've built ▶Review -- a free tool that gets you feedback from your team as well as from AI. Our AI has watched thousands of hours of video across several different categories, and it gives you the best feedback for whatever your stated goal is. It notifies you whenever new comments land on your video, and it lets you share with an unlimited number of people. You can leave rich feedback too: draw on the frame, drop a pin on the exact spot you mean, or select a range on the timeline
All of this to say, the entire toolkit is there. We were shocked this didn't exist -- we'd been using our own version internally because we produce and work with so much video. Today we've decided to open it up to the world for free. There's no login, there's no cost, and you can try it today at review.heyeddie.ai.
Let me know what you think.
Replies
the "AI has watched thousands of hours of video" part is what I'd push on - watched for what signal exactly? pacing, retention drop-off points, something else? generic AI feedback on an edit tends to default to safe platitudes ("tighten the intro", "add more b-roll") that any editor already knows. what makes the feedback specific to my actual footage and stated goal rather than a template response that would apply to almost any video in the category
Eddie AI
@omri_ben_shoham1 Great question. You'll see this when you try the product (it'll be out in one hour). The first step of AI feedback is asking you for your goal with the video. As you rightly pointed out, useful feedback will depend on what you're trying to achieve:
Whether it's a talking head style YouTube video, which is trying to get more views and keep people watching.
Whether it's a walkthrough video explaining a feature, in which case the focus should be on clarity.
If it's short-form content, in which case changing frames quickly and keeping the user engaged becomes crucial, and it's what the AI will look out for
But yeah, I appreciate the thoughtfulness in your question, and I very much encourage you to actually, drop a video in Review, see the feedback out and let me know your thoughts.
@Fahad that goal-first framing actually addresses my concern better than I expected - asking for the objective before grading the footage is the missing piece most "AI feedback" tools skip. I'll drop a walkthrough video in when it's live and see if the clarity notes are actually specific or just generic pacing tips. Curious if the model ever pushes back when the stated goal and the actual footage don't match.
I'm curious how the AI balances objective editing advice with creative decisions that are often subjective.
Me enjoyed reading this approach. Will creators receive feedback that matches different video styles instead of generic suggestions every time?