AI video generation
Video AI: Vido
Vido focuses on making AI video generation approachable on mobile: simple prompts, quick results, and share-ready exports.
LiveBuilt with company team
Impact
Role
Mobile + backend support
Status
Live
Focus
AI video generation
Platform
iOS / Android
What I did
- Built and refined key mobile flows with production-grade UX and reliability.
- Supported backend integration points where needed to scale generation/processing workflows.
- Helped maintain stable releases with iteration-friendly structure and clean UI patterns.
Highlights
- Mobile UX for creation → preview → export/share pipeline
- Backend-ready integration approach for scalable processing
- Production stability and iteration-friendly structure
Challenges
- Communicating progress and expectations in long-running generation tasks (without feeling stuck).
- Designing a creation → preview → export pipeline that remains clear on mobile.
- Handling partial failures (generation succeeded but export failed) with graceful recovery.
- Keeping perceived performance high despite heavy backend workloads.
Architecture and delivery
- Async job-style flow modeled as states (queued → processing → preview → export) with deterministic UI.
- Resilient polling / status refresh strategy with cancel + retry handling.
- Clean separation of concerns: creation inputs, job tracking, preview player, export/share utilities.
- Guardrails for reliability: timeouts, backoff, and user-friendly error copy for each pipeline step.
Tech stack
FlutterMobileBackend (as needed)
Problem
Creating short-form video content is time-consuming; users want a fast way to generate clips for social media.
Solution
A streamlined mobile experience that turns prompts into videos quickly, designed for reliability and future scalability.
Outcome
Live on the App Store with a structure ready for growth in templates, styles, and export options.