From NAB 2026 in Las Vegas, Skylar Holtzman of Presaige introduces their AI-powered content improvement tool that predicts how engaging images and short videos will be before posting. The discussion covers scoring, recommendations, thumbnail selection, carousel ordering, video limits, privacy, proprietary AI, pricing tiers, creator use cases, and API integration.
Show Notes:
Chapters:
00:03 Introduction from NAB 2026
00:12 Meeting Skylar in the Creator Studio area
00:27 What Presaige does for content improvement
00:40 Analyzing images with a proprietary engagement model
01:08 Uploading images and short videos for scoring and recommendations
01:27 Suggestions for lighting, angle, placement, and composition
01:55 Frame-by-frame video analysis and engagement prediction
02:02 Thumbnail selector for YouTube, Instagram, TikTok, and Facebook
02:26 Organizing carousel images by engagement potential
02:43 Who Presaige is for: creators, brands, influencers, and casual users
03:14 Current 90-second video limit and short-form content focus
03:42 Finding the strongest parts of a short clip
04:11 Thumbnail selection without titling or text analysis
04:29 Why Presaige works best when used consistently over time
04:58 What the tool does and does not analyze
05:31 How the algorithm evaluates visual qualities
06:15 Privacy, uploads, and user ownership of content
06:40 Proprietary AI and patent-pending technology
06:48 Pricing tiers, free access, premium plan, and promo code
07:53 Enterprise tier and API integration
08:18 API flexibility for partners and larger workflows
08:35 Website, spelling, and wrap-up
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