What is a ChatGPT Agent? An analysis of AI agent model and automation application examples

Although ChatGPT Agent sounds very advanced, the threshold to start using is not high. If you are already a ChatGPT user, you can experience the power of Agent without even writing programs. This section will explain the enablement methods and suggestions for general users, advanced users and developers.

How ChatGPT Plus users experience the Agent feature

OpenAI will launch the "Custom GPTs" function at the end of 2023, allowing users to create their own AI assistants. The agent model operates behind these custom GPTs.

The opening method is as follows:

1. Subscribe to ChatGPT Plus ($20 per month)
2. After logging in, click "Explore GPTs" in the upper left corner
3. Search for official or community-sharing agents, such as itinerary planning, weekend movie booking, PDF reading assistant, etc.
4. Click in and use it directly without installation or setting

These custom GPTs usually have built-in tools to use permissions (such as browser, code execution, file upload), and you only need to describe the requirements and it can perform tasks.

If you want to create an agent yourself, you can also use the "Create" interface provided by OpenAI. Through simple guided settings, enter instructions and goals to complete it.

Reminder before use

Although ChatGPT Agent is powerful, there are still several points to pay attention to in actual applications:

• The data query results may not be instant, and the source and update time need to be confirmed.
• Set clear goals when executing tasks to avoid vague instructions
• If it involves financial flow, ordering, etc., you need to be authorized carefully and checked for safety.
• Some features may be limited by region, browser, or API permissions

When you start using it, you can first try small tasks, such as organizing itineraries, summarizing reports, sorting emails, etc., and gradually establishing your own task templates and usage habits.

If you are no longer stranger to ChatGPT, you may be curious: "What is Agent? What is it different from the original ChatGPT?" This section will take you to clarify the true meaning of this new term step by step.

Simply put, ChatGPT Agent is an AI assistant with goal awareness and can actively perform tasks. Unlike traditional ChatGPT, which can only "wait for you to ask", Agent can "do it yourself" after having a goal.

This concept is a bit like evolving AI from a "customer service assistant" to an "intern level executor":

• ChatGPT Agent It can remember the current task status (with memory)
• ChatGPT Agent It can actively decide what to do next (having reasoning ability)
• ChatGPT Agent It can operate tools, issue instructions, and find information (with action)

From Q&A to Action

Traditional ChatGPT: If you say "help me find Taipei 3-day itinerary", it will make a piece of advice.

ChatGPT Agent: After you enter the target, it will search for information, check hotels, compare options, and even package it into a Google file for you.

This "action power" is the core behind the Agentic Framework.

From the user's perspective, this is a big leap forward for AI applications. In the past, we had to integrate multiple tools and automate processes to write programs and connect APIs, but now:

1. You just need to enter your target (such as "Please help me book a flight ticket to Tokyo next week")
2. Agent will decide which steps to do, and even complete tasks across tools

OpenAI calls this "AI as your digital agent", which also marks a new stage in which generative AI moves from "assisted decision-making" to "executive action".

ChatGPT Agent is more suitable for tasks that cannot be fully predicted and need to be adjusted to the situation. For example, customer service automatically handles inquiries, complex data inquiries, or automatic collaboration between multiple platforms.

To truly understand how ChatGPT Agent performs tasks, we need to start with the "agent pattern" behind it. The focus of this architecture is to give AI a "goal-oriented" mindset and be able to select tools, process data, plan steps and execute tasks according to the goals.

Introduction to the technology behind: From Function Calling to Multi-Tool Collaboration

1. Function Calling: Let AI know how to call the tool

OpenAI provides a function called Function Calling, which allows developers to define the function description of certain tools (such as checking weather, sending emails), and let the model actively choose to use it in conversations.

It's like giving AI a tool manual that will automatically turn it out and use when needed. In the past, language models could only generate statements, but now Agents can understand the task structure and call the correct tool to execute.

2. Tool Use: Access to multiple third-party functions

A complete ChatGPT Agent will not only be called using one tool, but can connect multiple tools according to task needs. For example:

• Browser Tools: Find the latest information
• Programming tools: Perform data calculation or convert formats
• Plugin or API: placing an order, sending a letter, operating a calendar, etc.

This ability is like giving AI a "digital toolbox" that will choose the right tool combination according to your needs.

3. Workflow Management: Can handle multi-step tasks

A major breakthrough in the proxy model is to enable AI to maintain contextual memory, track progress, and continuously adjust strategies based on different responses. This makes it less a question-and-answer model, but a multi-step workflow that can be completed.

For example:

User said: "Help me find a concert in Taipei next week, and then find a nearby hotel, with a budget of less than 2,000 yuan."

Agent's idea may be:

• Search for concert event information
• Confirm the date and venue
• Search for hotels around the map
• Filter by budget
• Reward results or recommendations

Each action may use a different tool, and the Agent can remember the logic before and after and complete it in sequence.

Differences from traditional automated scripts

There have been many automated scripting tools on the market (such as Selenium, RPA robots, etc.), so what is the difference between ChatGPT Agent?

ChatGPT Agent is more suitable for tasks that cannot be fully predicted and need to be adjusted to the situation. For example, customer service automatically handles inquiries, complex data inquiries, or automatic collaboration between multiple platforms.

Agent model allows AI to "decide how to do things by itself"

Traditional AI models only answer questions, but the Agent model allows it to plan the steps and complete tasks by itself based on your goals. This means that AI is no longer just an information provider, but an assistant who can actively complete the work.

After understanding the principles of the proxy model, the most critical question is: What can ChatGPT Agent "do for me"? The following summarizes several of the most representative application scenarios at present and explains them with real or simulated cases to help you quickly grasp the potential of this technology.

1. ChatGPT Agent Automatically plan travel itineraries and book tickets

Suppose you plan to go to Tokyo for three days next month. The traditional way is: check the attractions yourself, find accommodation, compare prices, and finally enter the order manually. But with ChatGPT Agent, these steps can be greatly simplified.

User input: "Plan a 3-day free trip to Tokyo, including popular attractions and accommodations, and the budget is no more than NT$5,000 a day"

The example process may be as follows:

1. Agent: Inquiry about local attractions
2. Select accommodation based on evaluation, distance and other conditions
3. Generate a schedule and link to Google Maps
4. Compiled as PDF or Notion pages

Such an integration process can save a lot of inquiry and comparison time, and can even access external ticketing services to complete some automated bookings.

2. ChatGPT Agent e-commerce website automatically compares prices and orders for shopping

Another popular scenario is in the field of e-commerce shopping. For example, if you want to buy a laptop of a specific specification, but you are too lazy to compare prices, check inventory, and review on different platforms.

ChatGPT Agent can assist:

• Depending on the product conditions you entered (such as price limit, brand, screen size)
• Automatically grab information on PChome, shrimp skin, Momo and other platforms
• Sort and recommend the best cost-effective options
• If you set up a payment method and account number, you can even assist in placing an order (extra authorization is required)

Such applications combine data acquisition, instant judgment and cross-platform collaboration to truly turn AI into a "shopping assistant".

3. ChatGPT Agent Marketing Process Automation

For marketers, the most common job is to produce content, scheduling, and analyze data. In the past, these tasks were done using multiple tools, but now they can be integrated into a process through the ChatGPT Agent:

Possible applications are as follows:

• Automatically write marketing copy (including titles, posts, and electronic newspaper content) based on new product information
• Schedule community release time and link to Buffer or Meta Business Suite for schedule
• After collecting activity data, generate briefings and key analysis (with Code Interpreter)

This one-stop content production and analysis process not only saves manpower, but also reduces errors and heavy industry.

4. Customized example: internal automatic assistant

Currently, some companies use ChatGPT Agent as an internal assistant to assist in handling common needs, such as:

• Automatic reply to human resources inquiries (leave request rules, salary system)
• Automatically organize daily meeting summary and agency matters
• Integrate internal ERP and CRM data to provide immediate decision-making advice

Most of these cases connect to enterprise systems through APIs, plus specially customized instructions and permission management, making Agent an important driving force for enterprise digital transformation.

According to the official introduction of OpenAI, future GPTs can be designed to have a variety of tool access capabilities, and can gradually optimize task execution quality through "memory" and "custom instructions". Community groups such as Reddit and HuggingFace have also begun to share experimental results of homemade Agents, indicating that this technology has begun to enter the application stage.

After reading the previous application scenarios, you may ask: "Is such a powerful technology suitable for users like me?" In fact, although ChatGPT Agent is based on AI technology, its design purpose is to make it easy for people with non-engineering backgrounds to use it. Here are a few groups that are particularly suitable for importing Agents to see if you are among them.

Self-media and content creators

For self-media operators, bloggers, YouTubers, and community editors who often need to produce content, ChatGPT Agent is a good helper to save time and speed up your creative process.

Common applications include:

• Automatically organize weekly hot topics and provide posts and suggestions
• Generate summary, title, and Hashtag based on video script
• Integrate Notion and Google Docs, automatically classify materials and drafts

The work that took several hours to complete in the past can now be done in a few minutes, greatly improving creative efficiency.

Entrepreneurs and small teams

For entrepreneurs with limited budgets and tight time, ChatGPT Agent is like a free intern who can help you with repetitive but necessary tasks.

For example, you can ask Agent to help you:

• Automatically respond to potential customer inquiries
• Organize sales or advertising results reports every day
• Write a summary of the contract and the first draft of the event proposal

Especially for small teams without full-time marketing, customer service or project management personnel, Agent can become a "invisible support" for daily operations.

Self-study and freelancers

Whether you are a freelance designer, engineer, marketing consultant, or a slasher who is learning new skills, ChatGPT Agent provides practical support in learning and work.

For example:

• Schedule daily progress and remind you according to your learning goals.
• Integrate the reference materials you collected and automatically summarize the key points
• Connect with Notion and Trello to help you build a special project planning board

These applications not only save time, but also make personal workflows more structured and more efficient.

Developers with basic technical capabilities

If you can write basic programs, understand APIs or process automation tools (such as Zapier, Make, IFTTT), you will be able to further customize your Agent.

Like:

• Create exclusive business assistants for your customers
• Develop automated quotation or analysis systems
• Establish an AI tool person who connects with internal company information

Many developers have begun to regard ChatGPT Agent as a good helper for developing SaaS prototypes and quickly testing business ideas.

Of course, not every situation is suitable for use with ChatGPT Agent, for example:

• Strictly require accurate data and audit (such as financial reports and medical reports)
• Involving highly customized emotional content (such as scripts, poems)
• Tasks that require complex decisions and a lot of interpersonal interactions

In these situations, Agent can be used as an auxiliary tool, but it still requires human judgment and quality control.

Whenever a powerful new technology emerges, it always raises similar concerns: "Will this replace my job?" "Does I start learning to write programs?" The emergence of ChatGPT Agent is no exception. It does have the ability to perform tasks partially, but whether it will replace human resources in all respects, the answer may be more delicate than you think.

ChatGPT Agent is not omnipotent, it still requires human collaboration

Although the current Agent can perform tasks independently, its performance is still limited by several key factors:

• Task complexity: The more vague the tasks that require interpersonal judgment, the harder it is to deal with AI
• Information Correctness: Agent may still cite outdated or incomplete information
• Operational boundaries: Some cross-system or required authentication operations still require manual intervention

In other words, what AI can handle is a task of "high repetition and clear logic", rather than a job that requires creativity, judgment, and emotional communication.

In other words, ChatGPT Agent is more like your "super assistant", helping you draft, organize information, and run the process, giving you more time to focus on the truly valuable parts.

The focus is not on "whether it is replaced", but on "how to upgrade yourself"

Rather than worrying about whether AI will take away jobs, think about: What role should you play when more and more tasks can be processed by AI?

What AI agents change is not the work itself, but the division of labor model of work. For example:

• Marketers no longer need to spend time manually organizing data, but instead make decisions based on AI reporting
• Self-media creators do not need to start from scratch, but create and rewrite together with AI.
• Customer service moves from responding to questions to building experience and relationships

Such a transformation is an opportunity for those willing to learn and integrate tools. The future is no longer AI vs humans, but the difference between "people who can use AI" and "people who can't use AI".

How to prepare for the future?

Here are a few practical suggestions that will allow you to gradually cooperate with AI from now on:

• Try using ready-made Agent tools to find something from life or work to get AI help
• Establish clear task description capabilities to make your communication with AI more effective
• Learn to integrate tools such as automatically linking ChatGPT responses into workflows
• Observe other people's application cases more and continue to absorb new usage inspiration

Learning to work with Agent does not mean that you want to become an engineer, but that you learn to "command" tools to complete tasks in new ways.

ChatGPT Agent is not an end point, but a transitional technology that helps humans evolve from information processors to task designers.

Truly valuable talents are those who can see goals clearly, make good use of tools, integrate resources, and create connections. Agent saves you effort, and your role is to define problems, guide direction, and create impact.

Want AI is not just a chat tool, but a real "digital executor"? GenApe helps you to maximize your AI capabilities! There is no need to write programs or install cumbersome kits. With just a few steps to set it up, AI can help you perform tasks such as form processing, content generation, data sorting, and cross-platform automation processes.

Make an appointment with GenApe agent now to create your exclusive AI helper:

Go to experience: https://app.genape.ai/ai-agent

Although ChatGPT Agent sounds very advanced, the threshold to start using is not high. If you are already a ChatGPT user, you can experience the power of Agent without even writing programs. This section will explain the enablement methods and suggestions for general users, advanced users and developers.

How ChatGPT Plus users experience the Agent feature

OpenAI will launch the "Custom GPTs" function at the end of 2023, allowing users to create their own AI assistants. The agent model operates behind these custom GPTs.

The opening method is as follows:

1. Subscribe to ChatGPT Plus ($20 per month)
2. After logging in, click "Explore GPTs" in the upper left corner
3. Search for official or community-sharing agents, such as itinerary planning, weekend movie booking, PDF reading assistant, etc.
4. Click in and use it directly without installation or setting

These custom GPTs usually have built-in tools to use permissions (such as browser, code execution, file upload), and you only need to describe the requirements and it can perform tasks.

If you want to create an agent yourself, you can also use the "Create" interface provided by OpenAI. Through simple guided settings, enter instructions and goals to complete it.

Reminder before use

Although ChatGPT Agent is powerful, there are still several points to pay attention to in actual applications:

• The data query results may not be instant, and the source and update time need to be confirmed.
• Set clear goals when executing tasks to avoid vague instructions
• If it involves financial flow, ordering, etc., you need to be authorized carefully and checked for safety.
• Some features may be limited by region, browser, or API permissions

When you start using it, you can first try small tasks, such as organizing itineraries, summarizing reports, sorting emails, etc., and gradually establishing your own task templates and usage habits.

If you are no longer stranger to ChatGPT, you may be curious: "What is Agent? What is it different from the original ChatGPT?" This section will take you to clarify the true meaning of this new term step by step.

Simply put, ChatGPT Agent is an AI assistant with goal awareness and can actively perform tasks. Unlike traditional ChatGPT, which can only "wait for you to ask", Agent can "do it yourself" after having a goal.

This concept is a bit like evolving AI from a "customer service assistant" to an "intern level executor":

• ChatGPT Agent It can remember the current task status (with memory)
• ChatGPT Agent It can actively decide what to do next (having reasoning ability)
• ChatGPT Agent It can operate tools, issue instructions, and find information (with action)

From Q&A to Action

Traditional ChatGPT: If you say "help me find Taipei 3-day itinerary", it will make a piece of advice.

ChatGPT Agent: After you enter the target, it will search for information, check hotels, compare options, and even package it into a Google file for you.

This "action power" is the core behind the Agentic Framework.

From the user's perspective, this is a big leap forward for AI applications. In the past, we had to integrate multiple tools and automate processes to write programs and connect APIs, but now:

1. You just need to enter your target (such as "Please help me book a flight ticket to Tokyo next week")
2. Agent will decide which steps to do, and even complete tasks across tools

OpenAI calls this "AI as your digital agent", which also marks a new stage in which generative AI moves from "assisted decision-making" to "executive action".

ChatGPT Agent is more suitable for tasks that cannot be fully predicted and need to be adjusted to the situation. For example, customer service automatically handles inquiries, complex data inquiries, or automatic collaboration between multiple platforms.

To truly understand how ChatGPT Agent performs tasks, we need to start with the "agent pattern" behind it. The focus of this architecture is to give AI a "goal-oriented" mindset and be able to select tools, process data, plan steps and execute tasks according to the goals.

Introduction to the technology behind: From Function Calling to Multi-Tool Collaboration

1. Function Calling: Let AI know how to call the tool

OpenAI provides a function called Function Calling, which allows developers to define the function description of certain tools (such as checking weather, sending emails), and let the model actively choose to use it in conversations.

It's like giving AI a tool manual that will automatically turn it out and use when needed. In the past, language models could only generate statements, but now Agents can understand the task structure and call the correct tool to execute.

2. Tool Use: Access to multiple third-party functions

A complete ChatGPT Agent will not only be called using one tool, but can connect multiple tools according to task needs. For example:

• Browser Tools: Find the latest information
• Programming tools: Perform data calculation or convert formats
• Plugin or API: placing an order, sending a letter, operating a calendar, etc.

This ability is like giving AI a "digital toolbox" that will choose the right tool combination according to your needs.

3. Workflow Management: Can handle multi-step tasks

A major breakthrough in the proxy model is to enable AI to maintain contextual memory, track progress, and continuously adjust strategies based on different responses. This makes it less a question-and-answer model, but a multi-step workflow that can be completed.

For example:

User said: "Help me find a concert in Taipei next week, and then find a nearby hotel, with a budget of less than 2,000 yuan."

Agent's idea may be:

• Search for concert event information
• Confirm the date and venue
• Search for hotels around the map
• Filter by budget
• Reward results or recommendations

Each action may use a different tool, and the Agent can remember the logic before and after and complete it in sequence.

Differences from traditional automated scripts

There have been many automated scripting tools on the market (such as Selenium, RPA robots, etc.), so what is the difference between ChatGPT Agent?

ChatGPT Agent is more suitable for tasks that cannot be fully predicted and need to be adjusted to the situation. For example, customer service automatically handles inquiries, complex data inquiries, or automatic collaboration between multiple platforms.

Agent model allows AI to "decide how to do things by itself"

Traditional AI models only answer questions, but the Agent model allows it to plan the steps and complete tasks by itself based on your goals. This means that AI is no longer just an information provider, but an assistant who can actively complete the work.

After understanding the principles of the proxy model, the most critical question is: What can ChatGPT Agent "do for me"? The following summarizes several of the most representative application scenarios at present and explains them with real or simulated cases to help you quickly grasp the potential of this technology.

1. ChatGPT Agent Automatically plan travel itineraries and book tickets

Suppose you plan to go to Tokyo for three days next month. The traditional way is: check the attractions yourself, find accommodation, compare prices, and finally enter the order manually. But with ChatGPT Agent, these steps can be greatly simplified.

User input: "Plan a 3-day free trip to Tokyo, including popular attractions and accommodations, and the budget is no more than NT$5,000 a day"

The example process may be as follows:

1. Agent: Inquiry about local attractions
2. Select accommodation based on evaluation, distance and other conditions
3. Generate a schedule and link to Google Maps
4. Compiled as PDF or Notion pages

Such an integration process can save a lot of inquiry and comparison time, and can even access external ticketing services to complete some automated bookings.

2. ChatGPT Agent e-commerce website automatically compares prices and orders for shopping

Another popular scenario is in the field of e-commerce shopping. For example, if you want to buy a laptop of a specific specification, but you are too lazy to compare prices, check inventory, and review on different platforms.

ChatGPT Agent can assist:

• Depending on the product conditions you entered (such as price limit, brand, screen size)
• Automatically grab information on PChome, shrimp skin, Momo and other platforms
• Sort and recommend the best cost-effective options
• If you set up a payment method and account number, you can even assist in placing an order (extra authorization is required)

Such applications combine data acquisition, instant judgment and cross-platform collaboration to truly turn AI into a "shopping assistant".

3. ChatGPT Agent Marketing Process Automation

For marketers, the most common job is to produce content, scheduling, and analyze data. In the past, these tasks were done using multiple tools, but now they can be integrated into a process through the ChatGPT Agent:

Possible applications are as follows:

• Automatically write marketing copy (including titles, posts, and electronic newspaper content) based on new product information
• Schedule community release time and link to Buffer or Meta Business Suite for schedule
• After collecting activity data, generate briefings and key analysis (with Code Interpreter)

This one-stop content production and analysis process not only saves manpower, but also reduces errors and heavy industry.

4. Customized example: internal automatic assistant

Currently, some companies use ChatGPT Agent as an internal assistant to assist in handling common needs, such as:

• Automatic reply to human resources inquiries (leave request rules, salary system)
• Automatically organize daily meeting summary and agency matters
• Integrate internal ERP and CRM data to provide immediate decision-making advice

Most of these cases connect to enterprise systems through APIs, plus specially customized instructions and permission management, making Agent an important driving force for enterprise digital transformation.

According to the official introduction of OpenAI, future GPTs can be designed to have a variety of tool access capabilities, and can gradually optimize task execution quality through "memory" and "custom instructions". Community groups such as Reddit and HuggingFace have also begun to share experimental results of homemade Agents, indicating that this technology has begun to enter the application stage.

After reading the previous application scenarios, you may ask: "Is such a powerful technology suitable for users like me?" In fact, although ChatGPT Agent is based on AI technology, its design purpose is to make it easy for people with non-engineering backgrounds to use it. Here are a few groups that are particularly suitable for importing Agents to see if you are among them.

Self-media and content creators

For self-media operators, bloggers, YouTubers, and community editors who often need to produce content, ChatGPT Agent is a good helper to save time and speed up your creative process.

Common applications include:

• Automatically organize weekly hot topics and provide posts and suggestions
• Generate summary, title, and Hashtag based on video script
• Integrate Notion and Google Docs, automatically classify materials and drafts

The work that took several hours to complete in the past can now be done in a few minutes, greatly improving creative efficiency.

Entrepreneurs and small teams

For entrepreneurs with limited budgets and tight time, ChatGPT Agent is like a free intern who can help you with repetitive but necessary tasks.

For example, you can ask Agent to help you:

• Automatically respond to potential customer inquiries
• Organize sales or advertising results reports every day
• Write a summary of the contract and the first draft of the event proposal

Especially for small teams without full-time marketing, customer service or project management personnel, Agent can become a "invisible support" for daily operations.

Self-study and freelancers

Whether you are a freelance designer, engineer, marketing consultant, or a slasher who is learning new skills, ChatGPT Agent provides practical support in learning and work.

For example:

• Schedule daily progress and remind you according to your learning goals.
• Integrate the reference materials you collected and automatically summarize the key points
• Connect with Notion and Trello to help you build a special project planning board

These applications not only save time, but also make personal workflows more structured and more efficient.

Developers with basic technical capabilities

If you can write basic programs, understand APIs or process automation tools (such as Zapier, Make, IFTTT), you will be able to further customize your Agent.

Like:

• Create exclusive business assistants for your customers
• Develop automated quotation or analysis systems
• Establish an AI tool person who connects with internal company information

Many developers have begun to regard ChatGPT Agent as a good helper for developing SaaS prototypes and quickly testing business ideas.

Of course, not every situation is suitable for use with ChatGPT Agent, for example:

• Strictly require accurate data and audit (such as financial reports and medical reports)
• Involving highly customized emotional content (such as scripts, poems)
• Tasks that require complex decisions and a lot of interpersonal interactions

In these situations, Agent can be used as an auxiliary tool, but it still requires human judgment and quality control.

Whenever a powerful new technology emerges, it always raises similar concerns: "Will this replace my job?" "Does I start learning to write programs?" The emergence of ChatGPT Agent is no exception. It does have the ability to perform tasks partially, but whether it will replace human resources in all respects, the answer may be more delicate than you think.

ChatGPT Agent is not omnipotent, it still requires human collaboration

Although the current Agent can perform tasks independently, its performance is still limited by several key factors:

• Task complexity: The more vague the tasks that require interpersonal judgment, the harder it is to deal with AI
• Information Correctness: Agent may still cite outdated or incomplete information
• Operational boundaries: Some cross-system or required authentication operations still require manual intervention

In other words, what AI can handle is a task of "high repetition and clear logic", rather than a job that requires creativity, judgment, and emotional communication.

In other words, ChatGPT Agent is more like your "super assistant", helping you draft, organize information, and run the process, giving you more time to focus on the truly valuable parts.

The focus is not on "whether it is replaced", but on "how to upgrade yourself"

Rather than worrying about whether AI will take away jobs, think about: What role should you play when more and more tasks can be processed by AI?

What AI agents change is not the work itself, but the division of labor model of work. For example:

• Marketers no longer need to spend time manually organizing data, but instead make decisions based on AI reporting
• Self-media creators do not need to start from scratch, but create and rewrite together with AI.
• Customer service moves from responding to questions to building experience and relationships

Such a transformation is an opportunity for those willing to learn and integrate tools. The future is no longer AI vs humans, but the difference between "people who can use AI" and "people who can't use AI".

How to prepare for the future?

Here are a few practical suggestions that will allow you to gradually cooperate with AI from now on:

• Try using ready-made Agent tools to find something from life or work to get AI help
• Establish clear task description capabilities to make your communication with AI more effective
• Learn to integrate tools such as automatically linking ChatGPT responses into workflows
• Observe other people's application cases more and continue to absorb new usage inspiration

Learning to work with Agent does not mean that you want to become an engineer, but that you learn to "command" tools to complete tasks in new ways.

ChatGPT Agent is not an end point, but a transitional technology that helps humans evolve from information processors to task designers.

Truly valuable talents are those who can see goals clearly, make good use of tools, integrate resources, and create connections. Agent saves you effort, and your role is to define problems, guide direction, and create impact.

Want AI is not just a chat tool, but a real "digital executor"? GenApe helps you to maximize your AI capabilities! There is no need to write programs or install cumbersome kits. With just a few steps to set it up, AI can help you perform tasks such as form processing, content generation, data sorting, and cross-platform automation processes.

Make an appointment with GenApe agent now to create your exclusive AI helper:

Go to experience: https://app.genape.ai/ai-agent