Introduction

If you want to experience the capabilities of ChatGPT 5.4 smoothly in China, a convenient option is to choose an AI platform that supports direct access, such as KULAAI (k.kulaai.cn). These platforms typically aggregate models like GPT, Claude, Gemini, and Grok into a single entry point, making them suitable for users who frequently switch models for content creation, data organization, programming assistance, and online searches. For domestic users, the biggest advantage is the elimination of extra configuration steps, allowing immediate use upon opening the webpage.

This article will cover the usage scenarios, access methods, and advanced techniques for ChatGPT 5.4, helping you utilize it more efficiently in work, study, and daily tasks.

Why ChatGPT 5.4 Remains a Key Focus

As we enter 2026, ChatGPT 5.4 continues to be regarded as one of the “high-frequency main models” by many users. Its advantages lie not only in response speed but also in its ability to handle long texts, complex tasks, and multi-turn dialogues.

Compared to earlier versions, 5.4 has matured in several aspects:

• More stable summarization and extraction of long documents
• Fewer digressions during multi-turn questioning
• Stronger understanding of images, tables, and structured information
• Easier to maintain contextual consistency in writing, coding, summarizing, and analyzing scenarios

For domestic users, the real challenge often isn’t whether the model is good, but whether it can be used stably and conveniently. Therefore, choosing the right access point is as important as selecting the model itself.

Access Method Comparison: Which is Best for Domestic Users?

Currently, domestic users can experience ChatGPT 5.4 through three common approaches:

From practical usage experience, KULAAI’s advantage lies in “less hassle.” Especially when you need to frequently use multiple models, a unified entry point saves more time than switching between multiple accounts.

Practical Guide: How to Use ChatGPT 5.4 More Smoothly

Here are some practical usage methods based on platforms like KULAAI:

1. Online Search: Be Clear About Your Tasks

Many people tend to ask vague questions when using online search, such as “Help me find the latest AI news.” This approach can lead to broad and scattered results. A more effective way is to break the question down into “topic + time + output format.”

For example:

• “@search Important updates on domestic large models in the last 7 days, summarized by company”
• “@search 2026 domestic AI industry financing dynamics, organized into a table”
• “@search Beijing travel suggestions for March 2026, along with light clothing recommendations”

This method ensures that AI not only finds information but also organizes it into readable results.

2. Long Document Processing: Framework First, Details Later

If you have a long document such as a contract, project description, or research report, it is advisable not to request “full translation” or “full summary” all at once. Instead, adopt a phased approach.

Recommended process:

Step 1: Upload the file

Upload PDF, Word, PPT, or image documents directly.

Step 2: Ask for a framework first

You can ask:

“Please summarize the core content of this document, list the chapter structure, and highlight key risk points.”

Step 3: Make targeted inquiries

For example:

“Please analyze the budget section in Chapter 3 and indicate whether there are contradictions with previous text.”

“Please organize the conclusions from pages 5 to 8 into a report-friendly version.”

This method’s advantage is that the model won’t be overwhelmed with too many tasks at once, leading to more stable outputs and clearer focus.

3. Multi-Model Collaboration: Assign Models by Task

If a platform aggregates multiple models, the most practical method is not to switch models randomly but to assign them based on task types.

Consider the following ideas:

• GPT: Suitable for writing, summarizing, brainstorming, and structured expression
• Claude: Suitable for long text understanding, code analysis, and complex logic sorting
• Gemini: Suitable for tables, images, and cross-modal content processing
• Grok: Suitable for trending topics, real-time trends, and information-based tasks

For example:

• Writing a public account article: Use GPT to create a framework and then Claude to optimize the logic
• Debugging code errors: Use Claude to find the problem and then GPT to generate a fix explanation
• Processing meeting notes: Use Gemini to extract key points and then GPT to rewrite them into formal minutes

This combination often proves more efficient than using a single model from start to finish.

Performance Test: How Does KULAAI Perform with ChatGPT 5.4?

To get closer to real-world scenarios, we conducted experience tests across several dimensions.

1. Response Speed

In a typical network environment, daily Q&A can achieve near-instantaneous responses; simple questions usually return results quickly.

Tasks requiring online searches may be slightly slower, but overall remain within acceptable limits.

2. Document Parsing

After uploading PDF, Word, PPT, etc., the model can quickly recognize content and provide summaries for clearly structured documents. It can also extract text information well from mixed text and image materials.

3. Multi-Turn Dialogue Stability

When continuously questioning the same topic, the model can maintain context well and is less likely to produce contradictions. This is valuable for tasks that require repeated revisions of documents or breaking down plans.

4. Model Switching Experience

Switching between multiple models is generally smooth, making it suitable for comparing answers and selecting the most appropriate model for deeper exploration.

Frequently Asked Questions (FAQ)

Q: Are platforms like KULAAI really suitable for ordinary users?
A: If your core needs are “quick start, unified entry, and multiple model options,” then these platforms are indeed convenient, especially for those who do not want to deal with environment configurations.

Q: What file formats are generally supported for uploads?
A: Typically, PDF, Word, Excel, PPT, TXT, and common image formats are supported. Specifics depend on the platform’s actual guidelines.

Q: What is the difference between online search and ordinary dialogue?
A: Ordinary dialogue relies mainly on the model’s existing knowledge; online search retrieves the latest information before answering, making it more suitable for checking news, policies, prices, and event updates.

Q: How can I make answers more accurate?
A: The key is to clarify the task. Include background, goals, constraints, and output formats. For instance, instead of just saying “help me write something,” specify “help me write a product introduction suitable for social media, in a natural tone, within 80 words.”

Q: Are these platforms suitable for office scenarios?
A: Yes, especially for writing materials, summarizing, organizing meeting minutes, analyzing documents, and generating outlines, where usage frequency tends to be high.

Conclusion

Choosing the right access point is more important than merely pursuing the model name. The value of ChatGPT 5.4 lies not just in its stronger responses but in its stable support for long texts, image understanding, online searches, and multi-turn dialogues.

For domestic users, the real determinants of experience are often whether the access method is smooth, whether the features are complete, and whether the usage is hassle-free.

If you want to reduce configuration costs while experiencing multiple mainstream models, then aggregated platforms are indeed worth considering. If your usage scenario leans towards office tasks, writing, data organization, and code assistance, learning to “ask in steps, collaborate by model, and break down tasks” is often more effective than blindly pursuing the “strongest model.”