We've developed a new feature called Manifest that provides detailed insights into our AI-driven video creation process. This tool offers a clear view of the time saved and resources used during video production, helping creators and businesses make informed decisions about their workflows.


What is Aeon's Manifest Feature?

The Manifest feature provides a comprehensive breakdown of the video creation process, including:

1. Total time saved on the project
2. Number of assets analyzed and selected
3. Detailed time allocation for various production tasks

Check out a demo below to see it in action:

 



The manifest revealed the following:

1. Time Saved: The AI-driven process saved 5 hours and 31 minutes on a single video project.

2. Asset Analysis: Our AI analyzed 187 candidate images and video clips, ultimately selecting 17 for use in the final video.

3. Time Breakdown:
   - Image selection: 1 hour
   - Script writing and voiceover: 1 hour
   - Adding parallax effects: 2 hours
   - Scene assembly: 30 minutes
   - On-screen graphics: 1 hour

The manifest also provides specific information about each asset used in the video. For example, in a segment about Frank Lloyd Wright's Fallingwater, the feature offered:

1. Descriptive captions for each image
2. Source URLs for proper attribution
3. Explanations for why specific images were selected

 

Upcoming Enhancements

We're working on several improvements to the Manifest feature:

1. Search functionality within the Manifest
2. Option to replace assets directly from the Manifest
3. More detailed time and cost-saving estimates


Practical Applications


The Manifest feature can help users:

1. Understand the time saved by using AI in video production
2. Track and attribute assets used in videos
3. Make data-driven decisions about production processes

By providing clear, quantifiable data on time saved and resources used, the Manifest feature aims to give users a better understanding of how AI can be effectively integrated into video production workflows.

We welcome user feedback as we continue to develop and refine this feature to meet the needs of video creators and production teams.