[docs]: add documents of how Xpaint is powered by AIGC

[petezhuang]

No description provided.

[niupilot]

🔍 PR Review: Documents of how Xpaint is powered by AIGC

Review Progress:

• Analyze PR changes and scope
• Read documentation content
• Review content quality and technical accuracy
• Check formatting and structure
• Provide comprehensive feedback

📋 Review Summary

This PR adds comprehensive documentation about integrating AI capabilities into Xbuilder's drawing functionality. The document provides valuable insights into AI integration best practices for game development platforms.

⚠️ Issues Found

High Priority Issues

1. Inconsistent Formatting and Structure (实训感悟.md:30,52)

• Section numbering is inconsistent (uses both "2." and "三、" for section 3)
• Subsection "3.1.2" appears twice (lines 44 and 52) with different content
• Consider using consistent numbering format throughout

2. Markdown Formatting Issues (实训感悟.md:66-73,81-91)

• Several list items have improper indentation and formatting
• Multi-line descriptions should maintain consistent formatting
• Some technical terms need proper markdown styling

3. Image References (实训感悟.md:42,48)

• Images reference local files (image1.png, image2.png) without proper relative paths
• Consider using proper relative paths like ./image1.png for better portability

Medium Priority Issues

4. Technical Writing Clarity (实训感悟.md:26-28)

• The sentence about model testing is overly long and could be split for better readability
• Consider restructuring: "我们针对openAi gpt4, Claude 4, Google Gemini 2.5 pro, 以及专业绘图模型Recraft v3/v2, svgio等多家模型商进行了测试"

5. Content Organization (实训感悟.md:96-101)

• The final paragraph in section 3.2 is extremely long (6 lines)
• Consider breaking it into smaller, more digestible paragraphs

✅ Strengths

1. Comprehensive Coverage: The document covers the complete AI integration process from user interaction to backend processing
2. Practical Focus: Real-world examples and specific implementation details
3. User-Centric Approach: Strong emphasis on user experience and reducing barriers for young creators
4. Technical Depth: Detailed explanation of prompt engineering and model selection process

🎯 Recommendations

1. Fix Numbering: Standardize section numbering (recommend using Arabic numerals throughout)
2. Improve Formatting: Apply consistent markdown formatting for lists and technical terms
3. Break Long Paragraphs: Split overly long paragraphs for better readability
4. Update Image Paths: Ensure image references use proper relative paths
5. Consider Adding: A table of contents for this comprehensive document

📈 Impact Assessment

This documentation will be valuable for:

• Understanding AI integration strategies in creative tools
• Learning prompt engineering best practices
• Implementing user-friendly AI features for non-technical users

The content quality is high and provides actionable insights for AI product development.

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[gemini-code-assist]

Summary of Changes

Hello @petezhuang, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

本次拉取请求引入了一份详细文档，阐述了将AIGC（AI生成内容）集成到Xbuilder平台Xpaint绘图功能中的策略和实现。该文档解释了将AI深度嵌入用户创作工作流的理念，选择专业AI模型进行矢量图生成的原因，以及为赋能缺乏艺术和提示词构建技能的年轻创作者而设计的复杂提示词工程系统。它涵盖了用户可见的交互元素和强大的后端自动化流程，这些流程将用户简单的想法转化为高质量、符合技术规范的矢量游戏素材。

Highlights

• AI集成理念: 强调将AI深度融入用户交互逻辑，而非简单“引入”，重点关注用户需求和痛点，特别是针对缺乏美术技能的年轻创作者。
• AI模型选择: 详细阐述了为生成矢量图（SVG）而测试各种通用大语言模型（如GPT-4、Claude 4、Gemini 2.5 Pro）和专业绘图模型（如Recraft v3/v2、svgio）的过程。结论是，为了高质量的SVG输出，必须使用Recraft等专业模型，通用大模型不适合此特定任务。
• Prompt构建体系: 描述了一个全面的Prompt构建系统，通过用户可见的交互和后端自动化，克服用户提示词构建能力不足的问题。这包括前端的风格选择器、类IDE的提示词补全和即时图片反馈，以及后端智能分析、四层优化和上下文融合的三阶段自动化流程，将用户简单的输入转化为高质量、详细且符合技术规范的矢量图生成Prompt。

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[gemini-code-assist]

Code Review

The pull request introduces a new markdown document detailing how AI is integrated into the Xpaint product. The document covers various aspects, including AI interaction within the user interface, AI model selection, and prompt engineering techniques. The review focuses on identifying potential areas for improvement in clarity and technical accuracy, as well as highlighting areas where the document could be more informative.