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ChatGPT's @Mention Feature: A Game-Changer in AI Interaction
By OpenTaskAI profile image OpenTaskAI
10 min read

ChatGPT's @Mention Feature: A Game-Changer in AI Interaction

Author: AI修猫Prompt This new feature allows users to interact with multiple customized GPT models simultaneously in the same conversation window, changing not only the landscape of generative AI but also our workflow and efficiency in using AI. Imagine having an AI assistant that not only answers your questions but also

Author: AI修猫Prompt

This new feature allows users to interact with multiple customized GPT models simultaneously in the same conversation window, changing not only the landscape of generative AI but also our workflow and efficiency in using AI.

Imagine having an AI assistant that not only answers your questions but also integrates multiple expert-level GPT models in the same conversation to collectively solve complex problems. This is no longer a scene from science fiction but a reality – thanks to ChatGPT's latest @Mention feature. Once again, OpenAI has made a groundbreaking move, leaving countless agent startups out in the cold.

  1. Evolution of ChatGPT: ChatGPT has transformed from a basic conversational AI into the powerful tool it is today, filled with innovation and breakthroughs. It can now not only understand and respond to user needs but also connect with various intelligent agents, offering comprehensive support to users.
  2. Introduction to @Mention Feature: This new feature allows users to interact with multiple customized GPT models simultaneously in the same conversation window. It's like integrating multiple advanced intelligent agents into your personal assistant, each skilled at addressing specific problems.
  3. A Milestone in the AI Industry: The launch of the @Mention feature signifies not only a significant advancement in ChatGPT technology but also heralds a new era in artificial intelligence applications. This feature makes ChatGPT not just a conversational partner but a central hub for integrating various intelligences, capable of handling more complex tasks than ever before.

Mention Feature vs. Traditional Agents

ChatGPT's Mention feature differs significantly in functionality and application from traditional AI agents (agents). The Mention feature is an innovative capability that allows users to directly call customized GPT models in conversations by using "@mention," similar to the @mention feature on platforms like Slack or Discord. This feature is part of OpenAI's vision to build an "army of agents," enabling specific tasks to be performed by specialized GPT models, enhancing ChatGPT's capabilities.

Key features of the Mention feature include:

  • Multi-model interaction: Seamless communication with different specialized GPT models in a single window, eliminating the need to switch between different chat windows.
  • Custom task automation: Allowing users to automate specific tasks using customized GPT models.
  • Integration with external applications: Providing integration capabilities with external applications like Zapier, simplifying custom workflows that connect ChatGPT with other tools and software.
  • Convenience in information management: Simplifying information management, enabling various operations within the ChatGPT interface, such as data summarization and direct addition to documents or databases.
  • Enhanced interactivity and user-friendly experience: Offering an interactive, user-friendly experience, simulating a team of virtual assistants available with simple @mentions, each skilled in different tasks.

In contrast, traditional AI agents typically refer to standalone, single AI systems specialized in performing specific tasks or services. Each agent usually involves a specific domain or function, such as speech recognition, recommendation systems, or natural language processing.

The introduction of the Mention feature marks a significant advancement in how artificial intelligence interacts. This feature allows users to integrate the expertise and functionalities of multiple GPT models into a coherent conversation flow without leaving the current conversation environment or switching to different systems. This new AI interaction method provides greater flexibility and integration, making ChatGPT more than just a single AI agent but a comprehensive platform capable of integrating various AI resources and capabilities.

Understanding the Mention Feature

With ChatGPT's continuous innovation in the field of artificial intelligence, the recently introduced Mention feature is undoubtedly a significant expansion of its capabilities. This new feature not only enhances ChatGPT's interactivity but also provides users with an unprecedented experience of multi-model integration. Let's delve into how this feature works and the transformation it brings.

  1. Feature breakdown: The Mention feature allows users to summon specific GPTs in ChatGPT conversations by typing "@" followed by the name of the customized GPT model. This process is similar to mentioning someone on social media platforms. Users can easily interact with multiple GPT models in the same chat window, enabling more complex and diverse conversations.
  2. Comparison with existing platforms: This feature is similar to the @mention feature in popular communication platforms like Slack and Discord but is an innovation in AI conversation systems. It makes the usage of ChatGPT more akin to everyday digital communication tools, reducing the learning curve and increasing familiarity.
  3. Multi-model integration: Through the Mention feature, users can interact with multiple specialized GPT models in a single chat interface. This means users can obtain expert advice and information from different domains without switching between models or windows, greatly enhancing efficiency and user experience. The launch of this feature signifies ChatGPT's transformation from a single AI agent to a multi-agent system. In such a system, various GPT models collaborate like team members, collectively handling complex tasks and queries, significantly expanding ChatGPT's application scope and capabilities.
  4. Specialization and customization: Users can customize specialized GPT models as needed, such as for audio conversion, email management, or scheduling. This specialization allows ChatGPT to better meet personalized requirements, becoming a more effective digital assistant.
  5. Improved user experience: The Mention feature significantly enhances ChatGPT's interactivity and user-friendliness. Users can now manage and execute multiple tasks through a simple interface, which was previously challenging to imagine. This new interaction method brings ChatGPT closer to an all-in-one digital assistant.

The introduction of the Mention feature not only showcases OpenAI's technological advancement in the AI conversation system field but also demonstrates its versatility and high level of customization in practical applications. This feature's launch undoubtedly brings unprecedented convenience and efficiency to users.

Technical Insights and Applications

1.Technical background: The implementation of the Mention feature is based on ChatGPT's advanced AI framework. It allows users to activate and switch between different AI models by entering specific commands, i.e., using the "@" symbol followed by the GPT model's name. This process involves complex backend logic to ensure that user requests are correctly parsed and responded to.

2.User interface and settings: From the user's perspective, the interface design of the Mention feature is intuitive and easy to use. Users can easily switch between different GPT models within ChatGPT's conversation window. Additionally, users can customize specific GPT models to align with their unique needs and preferences.

3.Wide-ranging applications: This feature has a broad range of applications. For example, users can utilize specialized GPT models for text summarization, data analysis, language translation, or other specialized tasks. This allows ChatGPT to cater more accurately to diverse user needs. Here are the steps for use:

  • Access ChatGPT Plus: First, ensure you have access to ChatGPT Plus, as the Mention feature may require an advanced subscription to use.
  • Start a conversation: Begin a regular conversation on the ChatGPT platform. This can be a general inquiry based on your current needs or a specific task.
  • Use "@" to mention GPTs: During the conversation, use the "@" symbol followed by the name of the other GPT you want to engage with. For example, if you need text summarization, you can type "@SummaryMaster."
  • Switch between multiple GPT models in the same conversation: You can mention multiple GPT models in the same conversation. This allows you to receive responses from different specialized agents or experts, all within the same chat window.

4.Integration with external tools: The Mention feature also integrates seamlessly with external applications and tools through Zapier, enabling users to automate workflows and enhance productivity.

5.Future enhancements: OpenAI plans to continuously improve the Mention feature, adding more customization options, expanding the roster of specialized GPT models, and enhancing the overall user experience. OpenAI aims to create a versatile and powerful platform that can cater to a wide range of user requirements.

Impact on User Experience and Workflow Efficiency

Many users have reported that the @Mention feature significantly enhances their AI-generated experiences and improves workflow efficiency. This not only alters the way users interact with AI but also opens up new possibilities for efficient task management and decision-making. This concise yet powerful approach could potentially trigger an AI interaction revolution, extending the application of AI to a broader range of workflows.

  1. Enhanced Interaction Experience: The @Mention feature offers users a more intuitive and interactive chat interface. By seamlessly interacting with multiple GPT models, users can obtain quicker and more accurate responses, thereby enhancing the efficiency of problem-solving and information retrieval.
  2. Improved Workflow Efficiency: This feature enables users to complete multiple tasks within a single chat window, simplifying workflows. Users no longer need to switch between different applications or windows, as all relevant interactions and task management can be carried out within ChatGPT's interface.
  3. Personalization and Customization Capabilities: Users can customize GPT models according to their specific needs. This level of personalization not only enhances the user experience but also enables ChatGPT to more accurately meet diverse and complex requirements.
  4. Case Study: For example, a marketing professional may need to conduct market research, generate reports, and schedule meetings. Through the @Mention feature, they can execute all these tasks within the same conversation using specialized GPT models, seamlessly transitioning from data analysis to document generation to scheduling, all done efficiently.
  5. Feedback and User Reviews: Based on user feedback and comments on social media, the @Mention feature has received widespread acclaim. Many users have expressed that this feature simplifies and streamlines their daily work and information management, making it more straightforward and efficient.

By integrating multiple AI models, the @Mention feature not only provides users with a more powerful toolkit but also paves the way for new possibilities in the future development of ChatGPT.

The Role of the @Mention Feature in Practical Applications

Note: The "mention" feature and specific GPT models (such as @ProjectPlannerGPT, @ScienceExplainerGPT, etc.) mentioned in the following discussion are hypothetical examples used to illustrate how ChatGPT's "mention" feature can be applied in different scenarios.

Scenario: Organizing an Online Market Research Project

Scenario Setting: Suppose you are a market analyst for a company and need to conduct market research on a new product's potential market. You plan to use ChatGPT's "mention" feature to organize and manage the entire research process.


  1. Project Planning:
    • Start a conversation with ChatGPT, describing your project requirements: conducting market research, collecting data, analyzing results, and preparing reports.
    • Use "@ProjectPlannerGPT" to help plan the various stages and tasks of the project.
  2. Data Collection:
    • Create a research survey through "@SurveyGPT" to gather opinions and feedback from the target market.
    • Use "@DataCollectorGPT" to automate the collection of online data and relevant discussions on social media.
  3. Data Analysis:
    • Once data collection is complete, use "@DataAnalysisGPT" to perform data cleaning, analysis, and interpretation.
    • Mention "@StatisticalGPT" for more complex statistical analysis and pattern recognition.
  4. Report Generation:
    • Invoke "@ReportWriterGPT" to write a detailed market research report based on the analysis results.
    • Use "@VisualGPT" to generate charts and data visualizations for a more intuitive report.
  5. Presentation Preparation:
    • For the final presentation, create an engaging slideshow using "@PresentationGPT."
    • Optimize your speech and presentation style with the help of "@SpeechCoachGPT."
  6. Feedback and Adjustments:
    • After the project concludes, use "@FeedbackGPT" to gather feedback from the team and leadership.
    • Discuss how to improve future project management and execution processes with "@ProjectImprovementGPT," based on the feedback.

Through this complex scenario, we can see how ChatGPT's "@mention" feature provides robust support in real-world business situations. It not only makes project management more efficient but also enhances the quality and speed of decision-making, ultimately delivering greater value to businesses.

Another Example: Optimizing Content Creation for Self-Media Using ChatGPT's "@mention" Feature

Scenario Setting: Suppose you are a self-media content creator focusing on producing content related to healthy living and fitness. You aim to use ChatGPT's "@mention" feature to enhance the efficiency and quality of content creation.


  1. Topic Selection:
    • Describe the health and fitness topics you want to explore in a conversation with ChatGPT.
    • Use "@TrendAnalyzerGPT" to analyze current trends in healthy living, helping determine specific content themes.
  2. Content Research:
    • Conduct in-depth research on the selected topics, gathering relevant scientific studies, statistical data, and industry reports using "@ResearchGPT."
    • Simulate interviews with domain experts using "@ExpertInterviewGPT" to gain additional insights.
  3. Article Writing:
    • Write a compelling article based on the collected information using "@ContentWriterGPT."
    • Optimize the article's search engine ranking with "@SEOOptimizerGPT" to ensure compliance with SEO best practices.
  4. Visual Content Creation:
    • Create engaging visuals and infographics using "@GraphicDesignerGPT" to enhance the article's visual appeal.
    • Edit video content to make it more dynamic and appealing using "@VideoEditorGPT."
  5. Social Media Strategy:
    • Develop a social media posting plan for maximum content exposure and interaction using "@SocialMediaStrategistGPT."
    • Generate appropriate hashtag tags for increased visibility in social media posts with "@HashtagGeneratorGPT."
  6. Performance Analysis and Feedback:
    • After content publication, analyze its performance, including metrics such as page views, likes, and comments, using "@AnalyticsGPT."
    • Discuss how to enhance the quality and audience interaction of future content based on feedback and data analysis results with "@ContentImprovementGPT."

Through this example, we demonstrate how to leverage ChatGPT's "@mention" feature to comprehensively optimize the content creation process for self-media. From topic research to content creation, publication strategy, and performance analysis, this feature significantly improves content creation efficiency and impact.

Below are five of the most common and practical scenarios for using the @ functions of ChatGPT that I have envisioned:

1.Project Management:

  • In a corporate environment, project managers can use the @mention feature to integrate various GPT experts, such as "@ProjectPlannerGPT" for project planning, "@RiskAssessmentGPT" for risk assessment, and "@TimelineGPT" for schedule management. This helps manage complex project tasks in a unified interface.

2.Academic Research:

  • Scholars and researchers can leverage the @mention feature to access multifaceted academic support. For instance, using "@DataAnalysisGPT" for data analysis, "@LiteratureReviewGPT" for literature reviews, and "@StatisticalModelingGPT" for statistical modeling.

3.Medical Consultation:

  • Healthcare professionals can use the @mention feature to quickly access medical information from different domains. For example, "@MedicalDiagnosisGPT" can be used for disease diagnosis, "@TreatmentOptionsGPT" provides treatment advice, and "@MedicalResearchGPT" helps find the latest medical research.

4.Content Creation and Marketing:

  • Content creators and marketers can use the @mention feature to optimize the content creation and distribution process. Utilize "@SEOAnalyzerGPT" for search engine optimization, "@ContentIdeasGPT" for generating content ideas, and "@SocialMediaStrategyGPT" for planning social media strategies.

5.Education and Tutoring:

  • Teachers and parents can use the @mention feature to support students' learning. For instance, using "@MathTutorGPT" to explain math problems, "@EssayWritingGPT" to assist with writing skills, and "@ScienceExplainerGPT" to explain scientific concepts.

These scenarios demonstrate how ChatGPT's @mention feature can provide customized and efficient solutions in different fields, helping users better tackle various complex and specialized tasks.

In the end, the evolution of generative artificial intelligence, led by ChatGPT, is truly remarkable, and one cannot help but admire OpenAI's strategic planning ability. They started by solving the smallest problems, strengthening the smallest operational units, and then gradually integrating on a smaller scale, and so on. This approach seems quite common in the case studies of our predecessors. The future is here, and are you, full of creativity, ready for it?

Reposted from the AI修猫Prompt WeChat public account.

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By OpenTaskAI profile image OpenTaskAI
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