Prevent mismatched text and images in batch cards
Supply a card specification, synthetic records and licensed image IDs to map fields to images and check missing values or long text.
Execution environment and usage
AI / software
Text-draft adaptation: ChatGPT / Claude / Gemini
Where to operate
The ChatGPT / Claude / Gemini web-chat input; this version requests a text draft.
Getting started
- Open an eligible account at chatgpt.com / claude.ai / gemini.google.com and start a chat without connecting external accounts.
- Prepare owned component specifications, synthetic records and licensed image identifiers.
- Request the draft/check and compare it with the original material. Suggestions are not evidence of execution.
Setup and plan requirements
Task inputs: Prepare owned component specifications, synthetic records and licensed image identifiers. Use an eligible tool that can read the supplied format; verify parsing, context limits and access before relying on it.
Prompt portability limits
The written request can be adapted to a chatbot that accepts the same input. It does not transfer the original agent, plugins or computer permissions.
Usage limitations
Match images through stable record IDs; specifications can identify overflow risks, while actual fit requires rendered-layout checks.This independent pass reviewed local case records, without revalidating original sources or hands-on testing.
Environment sources
適用情境 / When to use
Supply a card specification, synthetic records and licensed image IDs to map fields to images and check missing values or long text. Match images through stable record IDs; specifications can identify overflow risks, while actual fit requires rendered-layout checks. Original case: This is a product-team implementation account, not an independent efficiency test.
步驟 / Steps
- Prepare owned component specifications, synthetic records and licensed image identifiers.
- Bind text, images and attributes using stable record identifiers.
- Check missing values, mismatched images, text overflow and component versions.
提示詞 / Prompt
From [owned component specification/synthetic records/licensed image identifiers/type and layout rules], build a card-binding and acceptance table. Check record-image matches, missing values, long text and component versions; let the data determine quantity. Specify only; do not download portraits, edit production files or publish.
留意事項 / Cautions
- Do not fetch unlicensed portraits or copy brand assets.
- Do not modify production design files directly.
來源限制 / Evidence limits
Only the card-production example is selected; other demonstrations in the article are not split into additional cases.
流程說明 / Workflow note
These steps and prompts are original, untested exercises by this site, not the author’s verbatim workflow. Reported results do not guarantee exercise outcomes.
原始工具組合 / Original tool stack
Grok Bot; Figma MCP; auto-layout component
Source publication date: 2026-08-24
Source checked: 2026-10-20