Building an Agentic Video Editor for Mass Consumer
Ekaterina Deyneka
- When
- Thursday, July 211:40 AM – 12:00 PM · 20 min
- Where
- Track 1San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
Most agentic systems today are built for developers — people comfortable setting up environment, configs, and debugging agent loops. But what happens when your user has never heard the word "agent" and just wants a video ready to post? Reelful is an agentic video editor that lives right in the user's phone. It turns raw photos and videos from your camera roll into polished, short videos. No setup. No sophisticated prompting. No empty timeline. Under the hood, the agent orchestrates multiple models and composes a video together. In this talk, I'll walk through: The agentic pipeline architecture: how we chain models across modalities (vision → language → speech → video), handle context passing between steps, and manage state across a multi-minute generation job The UX inversion: how we designed the agent to require minimal effort from user — the system infers intent from the media itself, making complex orchestration invisible This talk is for anyone building agents that need to work for non-technical users, or anyone curious about multimodal agentic pipelines beyond text and code.
Speaker
Founder & CEO, Reelful
Kate Deyneka is the founder and CEO of Reelful, an agentic video editor for social media. She founded Reelful in October 2025 and built the product end to end, including multimodal pipelines for media understanding, automated editing, and mobile deployment. Reelful launched in April 2026 and is available on the App Store. Reelful is part of the a16z speedrun SR007 cohort. Previously, Kate was a senior machine learning engineer at Snap, where she led video generation from research to production and shipped AI features used by more than 100 million daily users.
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