Coze Workflow in Practice: 2-Minute AI Auto-Generated Store Visit Videos, 0-to-1 Build Tutorial (2026 Edition)



📚Video Course
🕒Last updated: 03/20/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

Study material — included with membership
Unlock Course with Membership
🔓
Get this course for reference study with membership
📦
Join membership — study all 16741 courses & software tools as reference
🔄
Courses keep updating — members study new material as it arrives
Share:
\

\

Through Coze workflows, create "Store Visit Videos" in two minutes, demonstrating the build process from 0 to 1, hands-on teaching

\
\

📅 Published: 2026-03-20

\

🏷️ Course Type: AI Video Generation · Coze Workflow · Store Visit Video Production

\

🎯 Who this is for: Brick-and-mortar store owners, short video creators, local life service providers, AI tool enthusiasts

\

⚙️ Core Tools:Coze platform, Mihe AI plugin, large language model

\
\

\
\

还在为制作探店视频spending too much time and effort? This tutorial will reveal to you how to useCoze工作流, achieveone-click generation of high-quality store visit videos within two minutesautomated process. Say goodbye to tedious filming, editing, and voiceover. You only need toupload a store photo and marketing copy, then sit back and let AI generate for youfeaturing real-person narration, scene transitions, and background music的完整视频。

\

课程将从零基础, step-by-step guide you throughthe complete setup of a Coze workflow. You will learn: how to configurelarge language model nodesto intelligently analyze store information and generate video script prompts; how to callMihe AI video generation pluginto convert text descriptions into dynamic videos; and how to designloop query logicto ensure that the link is automatically obtained after the video is successfully generated. The entire processis highly automated, greatly improving the efficiency of creating promotional videos for physical stores.

\

Through this course, you will master:

\
    \
  • Core Coze workflow nodes: configuration and connection of large models, plugins, loops, and selectors.
  • \
  • Full AI video generation process: the complete chain from image understanding and prompt generation to video rendering and result querying.
  • \
  • Efficient prompt engineering: how to write system prompts so that AI accurately understands and generates store visit video content that meets requirements.
  • \
  • Automated logic design: using loop and judgment nodes to achieve a seamless upload-and-generate experience.
  • \
\

Whether you want to reduce costs and increase efficiency for your own storereduce costs and increase efficiency, or hope to provide local merchants withvideo production services, thisproven automated solutionwill open a new door for you, allowing you to seize the initiative in the era of AI content creation.

\
\

\

Course Catalog

\
\

Part One: Project Overview and Preparation

\
    \
  1. Project Demo: Effect display and value analysis of Coze workflow one-click generation of store visit videos
  2. \
  3. Environment Preparation: Coze platform login, workflow creation, and basic interface introduction
  4. \
  5. Core Materials: Obtain and understand the prompt documents and plugins required for workflow setup
  6. \
\
\
\

Part Two: Building Core Workflow Nodes

\
    \
  1. Input Configuration: Set up the start node and define upload variables for storefront photos and marketing content
  2. \
  3. Information Extraction: Configure the large model node to intelligently analyze images and extract core store information
  4. \
  5. Script Generation: Configure the second large model node to generate video prompts based on the information
  6. \
  7. Video Rendering: Call the Mihe video generation plugin to convert prompts into dynamic videos
  8. \
\
\
\

Part Three: Automated Logic and Result Output

\
    \
  1. Loop Query: Build a loop node and query plugin to automatically poll the video generation status
  2. \
  3. Conditional Judgment: Use a selector node to determine whether the video was generated successfully and control process branches
  4. \
  5. Result Processing: Add a code block node to clean null values in the output data
  6. \
  7. Process Encapsulation: Connect the end node, output the final video link, and complete the entire workflow
  8. \
\
\

\
\

💡 Learning Tip:
\ Tutorial content is based on industry practices at time of publication; please verify against current platform rules,
\ Apply what you learn flexibly for the best results.

\
\
\ \

Related Courses