Jogg AI for Updating previous video based characters
Tool Review: Jogg AI for Video-Based Characters
Overview
We recently trialed Jogg AI as a tool for updating our video-based characters (Video Presenters aka Video Walkin's), which originated in 2014. These Presenters, featured in our Video Walkin's, have been integral to our website, mifex.com, as a way to enhance user engagement and interaction.
Key Findings
Quality Comparison: The AI-generated updates, while convenient, did not match the quality of our traditional green-screen Video Presenters production. Our original Video Presenters from 2014 were produced with high standards that are difficult to replicate with current AI tools without significant post-processing. The realism and overall polish are still areas for improvement.
Efficiency: Jogg AI's biggest advantage is its speed and reduced labor intensity. Updating Video Presenters with green-screen videos requires extensive time for shooting, editing, and post-production. Jogg AI, by contrast, enables quicker iterations, which is valuable for frequent updates or testing purposes.
Cost-Effectiveness: Although the tool introduces cost savings in terms of production time and resources, the quality gap presents a challenge in justifying its use for projects where high production values are critical.
Current Usage
Some AI-updated Video Presenters are being trialed, particularly for experimental purposes. This allows us to measure user engagement, gauge reactions, and assess the potential ROI of this approach compared to traditional methods.
Challenges with Legacy Content
Given that our original Video Presenters date back to 2014, the transition to AI tools for updates involves maintaining continuity in quality and style. This legacy aspect adds complexity, as the new outputs must seamlessly blend with the established brand and visual identity.
Next Steps
We plan to continue experimenting with Jogg AI, focusing on:
Fine-tuning the tool's settings to achieve closer parity with our original production quality.
Investigating hybrid workflows that combine Jogg AI outputs with manual post-production.
Exploring other AI tools to benchmark performance and capabilities.
Conclusion
Jogg AI offers clear benefits in terms of efficiency and cost-effectiveness for video character updates. However, its inability to fully replicate the quality of our original 2014 green-screen production limits its potential for broader use at this time. As the technology evolves, we remain optimistic about integrating AI into our Video Presenters while maintaining high standards.