yhf20060726 
2026
AIGC Video Automation
Creating a reusable workflow for generating trend-led video ads.
TIMELINE
2026 Jun - 2026 Aug
TEAM
2 Designers, 1 Product Manager, 1 Developer
ROLE
AI Product Design Intern @TikTok
SKILLS
AI Workflow, AIGC, Prompt Engineering, Video Strategy
OVERVIEW
At my internship at TikTok, my team collaborated with the TikTok User Growth team to explore how AIGC can turn product and trend signals into better-performing e-commerce advertisement videos.
01
AI Workflow Building
Exploring how to create a workflow that generates high-quality videos with NO human intervention.
02
Prompt Engineering
Editing prompts for plot, script, character, and scene descriptions to support a reusable AIGC workflow with strong results.
03
Video Strategy
Exploring different video formats and styles, then evaluating how effectively they can be produced through the AIGC workflow.
Goal: Create advertisement videos that deliver strong performance results, and build a workflow that can later support automatic generation at scale.
SOLUTION
A creative automation workflow that turns one product brief into several ad-video directions.
IMPACT
Strong delivery results led to automation at scale — and a next system to keep templates current.
01
Strong delivery results
Generated materials outperformed agency-made and other production-path baselines. On average, a single creative drove:
02
Automating the workflow
TikTok is putting the workflow into automation to create similar videos at scale.
03
Expanding the system
TikTok is developing a new system to capture hot topics and high-performing videos, turn them into video workflow templates.
REFLECTION
Through this intenrship experience, I got hands-on experiences with different Video and Image AIGC models and building AI workflow. With this understanding, I hope to explore more about how can AI workflow be used to create more efficient and effective in our life.
Explore formats before automating them
I tested short-drama insertion, rapid remix, AI short drama, animation, and IP-led routes to understand where each structure could create attention for a product.
Let performance shape the next template
The most valuable output is not one video; it is a system that can learn from strong results and create the next automated template faster.