Verified purchaser
Updated my review from 1 star to 3 stars and here is why the positive update
I believe in fairness, and I also believe in recognizing when a company makes genuine improvements.
I originally left a 1-star review for Jogg AI. Since then, I’ve noticed that the team has listened to feedback and added third-party tools such as Kling 2.6 and PixVerse. I appreciate that they have been making real updates, and because of that, I’ve updated my review to 3 stars. That said, I still believe there is room for further improvement.
The main reason I have not moved to a 5-star review is that the lip sync still needs work. I would also love to see additional models added, including Kling 01, Kling Motion Control, Seedance 2.0, and Kling 3.0. I understand that these models can be expensive to implement, so I do recognize that there are likely cost considerations involved.
That said, I think Jogg AI should seriously consider adding Wan 2.5, and possibly Wan 2.6 as these two models are affordable. Wan appears especially promising because of its strong custom-audio lip-sync capabilities, which could help address one of Jogg AI’s biggest current weaknesses. Since Jogg AI has promoted its AI avatars as having strong lip sync, I think this would be a particularly valuable area to focus on.
From what I’m seeing, the AI video space is becoming increasingly competitive. Many companies, including those offering lifetime deals, are now providing access to these kinds of models. For that reason, I believe it would be wise for Jogg AI to keep a close eye on the market and remain competitive as user expectations continue to rise.
Here is why I believe these models could add value:
Kling 01: Offers video editing in a way that feels similar to how Nano Banana edits images.
Kling Motion Control: A performance-capture model that allows users to upload a performance and transfer that motion to an avatar image.
Seedance 2.0 and Kling 3.0: In my view, these are among the strongest image-to-video and text-to-video models currently available, with native audio and some of the best lip sync I’ve seen.
Wan 2.5 and Wan 2.6: Particularly strong for custom-audio lip sync, and likely the most relevant options for addressing Jogg AI’s current lip-sync issues.
I do appreciate that Jogg AI has started listening to feedback and making improvements. If the company continues making meaningful updates, I believe it can earn back more trust from the community over time. Thank you for listening and continuing to improve.
JoggAI_official
Apr 2, 2026Hi there — thank you again for taking the time to update your review. We really appreciate your fairness and the thoughtful feedback.
We’re glad you’ve noticed the recent progress like Kling 2.6 and PixVerse. Our team genuinely cares about every user’s experience, and feedback like yours plays a big role in shaping what we build next.
On Veo 3.1 Fast — just to clarify, we actually do support it already via a BYOK (Bring Your Own Key) setup. Because of the underlying model costs, we’ve had to structure access this way (as we’ve mentioned previously), and we hope that makes sense from a sustainability perspective.
We’re also actively working on bringing in more models and capabilities. Your suggestions around Kling 01, Motion Control, Seedance, and improved lip sync are very much aligned with what we’re exploring internally. Lip sync in particular is a key focus area for us right now.
Thanks again for recognizing the improvements so far. We’re committed to continuing this momentum and earning that 5th star through consistent, meaningful updates.
If you have more ideas or specific use cases, we’re always listening.
— JoggAI Team