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Li Shan's ScriptAI: From a Personal Workflow to a Product Merchants Want to Use

Shandong University of Science and Technology's October 19 report describes ScriptAI generating cross-border video scripts from product information while moving to the web. We study inputs, revisions, value and initial customers, retaining its unfinished, customer-seeking stage.

Chinese edition published 20 Oct 2026 · 阅读中文原文 ↗

Source timingOriginal report: 2026-10-19; checked on 2026-10-20.

Begin with a connected workflow

The report describes Li Shan founding Qingdao Hulan Intelligent Technology and developing ScriptAI for cross-border merchants, with product-to-script generation and rule filtering. He is moving a Coze workflow to a website. The source explicitly states that it was not yet profitable and was still seeking customers.

The useful evidence concerns product formation. A creator running a workflow differs from unfamiliar merchants repeatedly using it. Our customer and onboarding analysis does not portray development as commercial success.

Narrow the initial customer beyond cross-border commerce

Merchants differ in products, audiences, photography and content skills. A universal promise obscures strengths. Start by researching one category, language or recurring content task.

For merchants with reliable product facts and frequent video needs, simulate the information-to-script process. Ask about input willingness, required edits and repeat use as well as speed. These are our proposed questions, not validated ScriptAI feedback.

Product inputs determine script usability

Inputs may be photographs, older descriptions and scattered selling points. Organize materials, specifications, uses and approved features; leave gaps for merchants. Do not add unsupported effects merely to enliven scripts.

Separate possible outputs into opening questions, demonstrations and instructions so merchants can choose filmable parts. These are design ideas, not a claim about ScriptAI's current full interface. Editable clarity may matter more than many styles.

Web access changes users and support work

The workflow's author knows input meanings; a first-time merchant may not. Study simple error guidance, suitable sample materials and explanations of how to use outputs.

Questions about scope, missing facts and requested rewrites create human work. Classify them as product usability, information gaps or manual services before choosing tool improvements or separately offered assistance.

Rule alerts cannot replace content judgment

Wording alerts can prompt review, but an accuracy figure without complete samples and methods cannot guarantee publication suitability. Check facts, platform requirements and publisher judgments separately. We promise no platform approval.

Paying clients and full operating data are undisclosed, and team and external collaboration scope are unverified. Repeated merchant use, sustainable support and specific willingness to pay matter more than registration or a finished interface.

Further reading: checkable product information; paid-pilot boundaries.

Sources and editorial notes

AI-assisted research, checking and writing with independent text and business analysis, no on-site interview, source republication or promotional commission. Product examples and trial methods are ours, not actual customer feedback. Unverified accuracy figures, policy quotations and revenue inferences are not used.

Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.

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