
陈韬 Chen
@chen
AI product manager designing LLM, Agent, and AI video experiences through user research, workflow planning, and product validation.
What I'm looking for
In Work‑Space, I explored text processing, content generation, and question-answering scenarios, designing structured prompts and interaction flows. I tested model limitations and documented validation rules and fallback approaches.
For market‑workbench, I researched business users’ needs and planned a lightweight AI workspace for information analysis, summaries, and content generation. I mapped user workflows and considered implementation costs and risks.
On yiji, I plan Agent workflows around task planning, tool use, memory, and reflection. I define interaction patterns, failure fallbacks, and task-ending conditions, then update the workflow based on testing feedback.
In my AI video generation product practice, I explored text-to-video and image-to-video workflows. I planned controls for camera shots, style, motion, and duration, and defined acceptance criteria for issues such as flicker, distortion, and camera shake.
Experience
Work history, roles, and key accomplishments
Agent Product Design and Process Planning
Oct 2024 - Present (2 years 1 month)
Designed product logic for a lightweight AI agent, covering task planning, tool invocation, memory, and reflection, while defining interaction and fallback strategies.
AIGC Product Planning and Effect Standards
AIGC AI Video Generation Product Practice
Oct 2024 - Present (2 years 1 month)
Validated product-side use cases for text-to-video and image-to-video, defining controllable parameters, effect acceptance criteria, and user workflows.
Product Lead and Interaction Planning
Jul 2024 - Sep 2024 (2 months)
Led product planning for a lightweight AI workbench prototype, defining modules, user flows, and AI feature integration while assessing feasibility.
Product Design and Scenario Development
Mar 2024 - Jun 2024 (3 months)
Designed product solutions for an LLM application experiment repository, standardizing prompt schemes and validating AI feature feasibility across scenarios.
Education
Degrees, certifications, and relevant coursework
呼和浩特民族学院
本科, 智能科学与技术
2025 -
Pursuing a Bachelor's degree in Intelligent Science and Technology, with coursework in AI fundamentals, machine learning, data foundations, and Python.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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