A Founder tapped me to help ideate, and before we knew it, a PaaS was born. Video editing with AI will take a while, the macro is not working well if we are being honest. But applying AI to small use cases turns the workflow into gold. So, what if you could collect all the powerful AI micro moments, and give it a true user flow?...
Enter, Viewport. after a 6 week Design Sprint.
Enter, Viewport. after a 6 week Design Sprint.
User testing was front and center to the process. Micro tools were the urgent learning.
Define an MVP:
Framing Tool UI – Grid overlay, aspect ratio selectors, framing guides.
Lens Selector Panel – Drop-down or slider to pick focal length with live preview.
Time of Day Visual Tool – Circular selector or timeline scrubber to simulate lighting.
Prompt Panel – Natural language box for generating edits
Timeline Editor – Classic video timeline with AI-suggested clip transitions.
Rendering Interface – Render queue, estimated times, preview options.
Project Settings UI – Choose output resolution, duration, AI style preferences.
Prompt-Based Shot Generator – Sketch or template gallery driven by text input.
Camera View Simulation – Frame viewer with live adjustments from AI tools.
Framing Tool UI – Grid overlay, aspect ratio selectors, framing guides.
Lens Selector Panel – Drop-down or slider to pick focal length with live preview.
Time of Day Visual Tool – Circular selector or timeline scrubber to simulate lighting.
Prompt Panel – Natural language box for generating edits
Timeline Editor – Classic video timeline with AI-suggested clip transitions.
Rendering Interface – Render queue, estimated times, preview options.
Project Settings UI – Choose output resolution, duration, AI style preferences.
Prompt-Based Shot Generator – Sketch or template gallery driven by text input.
Camera View Simulation – Frame viewer with live adjustments from AI tools.
Managing and accessing files have to be second nature, which includes even files you don't have yet. Contextual Scene Extension, Edits, and Reshoots in seconds!
We had to prioritize open-ended usability testing during alpha and beta stages, tracking what features users gravitate toward and where confusion or friction occurs. Combining qualitative feedback with usage analytics helps us validate what’s working and what needs rethinking.
Making it all work together was a layout marathon; I almost had to break a rubix cube.
The most useful tool ended up being the content knowledge bucket which allows users to train the scene with their own references.
The beta grew from 8 users to 92 within the 6 weeks, and multiple AI filmakers have already submitted films for awards using the storyboarding tool.
The beta grew from 8 users to 92 within the 6 weeks, and multiple AI filmakers have already submitted films for awards using the storyboarding tool.
Enjoy!
