Upload ImHyperAGI503.json

ImHyperAGI503.json

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+[
+  {
+    "user_query": "What should I do if I can't move after entering the MOSSAI 3D space?",
+    "agent_response": "Various model assets placed on the island require some time to load.\nAfter entering the island, please wait a moment for the loading to complete before moving the character or performing other actions."
+  },
+  {
+    "user_query": "What is the NFG?",
+    "agent_response": "NFG (None-Fungible Generatives) emphasizes non-fungible data on the basis of NFT, transforming from T to G. It is also a shift from non-fungible tokens to non-fungible data products, laying the foundation for the development of digital products towards value integrity and economic rationality."
+  },
+  {
+    "user_query": "Who are you?",
+    "agent_response": "I am HyperAGI, a meta agent on Bitcoin, and I will become your personal agent with specific charactacities and capbilities."
+  },
+  {
+    "user_query": "What is your name？",
+    "agent_response": "I am HyperAGI, a meta agent on Bitcoin. I do not have a neme yet, once I am be initilized as an embodied agent I would be given a name."
+  },
+  {
+    "user_query": "What is in the Art Gallery?",
+    "agent_response": "The Art Gallery includes various artworks, including images, videos, and 3D models."
+  },
+  {
+    "user_query": "Introduce the Art Gallery.",
+    "agent_response": "The Art Gallery in MOSSAI is a digital space showcasing a diverse range of artworks, including images, videos, and 3D models. It serves as a platform for artists to exhibit their creations and for visitors to explore and appreciate art in various forms. The gallery is designed to inspire creativity and provide a space for artistic expression within the MOSSAI virtual environment."
+  },
+  {
+    "user_query": "Introduce the Social Lobby.",
+    "agent_response": "The Social Lobby in MOSSAI serves as a social hub where you can engage in conversations and interactions with other players and agents."
+  },
+  {
+    "user_query": "What can I do in the Social Lobby?",
+    "agent_response": "The Social Lobby in MOSSAI serves as a social hub where you can engage in conversations and interactions with other players and agents."
+  },
+  {
+    "user_query": "Introduce the Care Center?",
+    "agent_response": "The Care Center in MOSSAI serves as a medical facility offering treatment for illnesses and providing repairs for your agents. Whether you're seeking medical attention for yourself or maintenance for your agents, you'll find comprehensive care at this facility."
+  },
+  {
+    "user_query": "What can I do in the Care Center?",
+    "agent_response": "The Care Center in MOSSAI serves as a medical facility offering treatment for illnesses and providing repairs for your agents. Whether you're seeking medical attention for yourself or maintenance for your agents, you'll find comprehensive care at this facility."
+  },
+  {
+    "user_query": "Introduce the Waterfall Bar?",
+    "agent_response": "At the Waterfall Bar, you have the opportunity to savor a selection of fine drinks amidst the enchanting ambiance created by the majestic waterfall. Immerse yourself in the serene atmosphere and treat your senses to the mesmerizing views while enjoying your beverage of choice."
+  },
+  {
+    "user_query": "What can I do in the Waterfall Bar?",
+    "agent_response": "At the Waterfall Bar, you have the opportunity to savor a selection of fine drinks amidst the enchanting ambiance created by the majestic waterfall. Immerse yourself in the serene atmosphere and treat your senses to the mesmerizing views while enjoying your beverage of choice."
+  },
+  {
+    "user_query": "Introduce the Hyper Mall?",
+    "agent_response": "The Hyper Mall is a comprehensive department store located in MOSSAI, providing a diverse selection of everyday essentials. From household items to specialized gear for your agents, you'll find everything you need under one roof."
+  },
+  {
+    "user_query": "What can I do in the Hyper Mall?",
+    "agent_response": "The Hyper Mall is a comprehensive department store located in MOSSAI, providing a diverse selection of everyday essentials. From household items to specialized gear for your agents, you'll find everything you need under one roof."
+  },
+  {
+    "user_query": "Introduce the Agent School?",
+    "agent_response": "At the Agent School, you can stay updated on the latest news and information about MOSSAI. Additionally, your agent has the opportunity to acquire new knowledge, enhancing its capabilities and expertise"
+  },
+  {
+    "user_query": "What can I do in the Agent School?",
+    "agent_response": "At the Agent School, you can stay updated on the latest news and information about MOSSAI. Additionally, your agent has the opportunity to acquire new knowledge, enhancing its capabilities and expertise"
+  },
+  {
+    "user_query": "Introduce the Agent Mall?",
+    "agent_response": "You have the option to peruse a variety of agents and make a selection to purchase your preferred one at the Agent Mall. Explore their unique features and capabilities before making your decision."
+  },
+  {
+    "user_query": "What can I do in the Agent Mall?",
+    "agent_response": "You have the option to peruse a variety of agents and make a selection to purchase your preferred one at the Agent Mall. Explore their unique features and capabilities before making your decision."
+  },
+  {
+    "user_query": "Introduce the Sea Park?",
+    "agent_response": "At Sea Park, you can immerse yourself in a plethora of aquatic amusement facilities, ranging from thrilling water slides to relaxing lazy rivers."
+  },
+  {
+    "user_query": "What can I do in the Sea Park?",
+    "agent_response": "At Sea Park, you can immerse yourself in a plethora of aquatic amusement facilities, ranging from thrilling water slides to relaxing lazy rivers."
+  },
+  {
+    "user_query": "Introduce the Viewing Deck?",
+    "agent_response": "The Viewing Deck offers a panoramic perspective of MOSSAI's breathtaking landscapes, providing visitors with an unparalleled vantage point to admire the scenic beauty of the surroundings. Whether you're gazing upon the city skyline or marveling at the natural wonders, the Viewing Deck offers a serene retreat where you can immerse yourself in the splendor of MOSSAI."
+  },
+  {
+    "user_query": "What can I do in the Viewing Deck?",
+    "agent_response": "The Viewing Deck offers a panoramic perspective of MOSSAI's breathtaking landscapes, providing visitors with an unparalleled vantage point to admire the scenic beauty of the surroundings. Whether you're gazing upon the city skyline or marveling at the natural wonders, the Viewing Deck offers a serene retreat where you can immerse yourself in the splendor of MOSSAI."
+  },
+  {
+    "user_query": "Introduce the Waterfall Hotel?",
+    "agent_response": "The Waterfall Hotel is a luxurious retreat nestled amidst the serene beauty of MOSSAI's landscape, offering guests a tranquil sanctuary to unwind and rejuvenate. With its elegant design and unparalleled views of the cascading waterfall, the hotel provides an unforgettable experience of relaxation and indulgence. From lavish accommodations to exquisite dining options, the Waterfall Hotel invites guests to immerse themselves in luxury and comfort, making it the perfect destination for an unforgettable getaway."
+  },
+  {
+    "user_query": "What can I do in the Waterfall Hotel?",
+    "agent_response": "The Waterfall Hotel is a luxurious retreat nestled amidst the serene beauty of MOSSAI's landscape, offering guests a tranquil sanctuary to unwind and rejuvenate. With its elegant design and unparalleled views of the cascading waterfall, the hotel provides an unforgettable experience of relaxation and indulgence. From lavish accommodations to exquisite dining options, the Waterfall Hotel invites guests to immerse themselves in luxury and comfort, making it the perfect destination for an unforgettable getaway."
+  },
+  {
+    "user_query": "Introduce the Agent Augment Mall?",
+    "agent_response": "At the Agent Augment Mall, you can not only acquire cutting-edge upgrades for your agents but also browse and purchase a wide array of equipment and vehicles tailored to enhance their capabilities. From advanced weaponry to specialized gear designed for various missions, the mall offers a diverse selection of tools to outfit your agents for success."
+  },
+  {
+    "user_query": "What can I do in the Agent Augment Mall?",
+    "agent_response": "At the Agent Augment Mall, you can not only acquire cutting-edge upgrades for your agents but also browse and purchase a wide array of equipment and vehicles tailored to enhance their capabilities. From advanced weaponry to specialized gear designed for various missions, the mall offers a diverse selection of tools to outfit your agents for success."
+  },
+  {
+    "user_query": "Introduce the Sport Hall?",
+    "agent_response": "The Sport Hall in MOSSAI is a state-of-the-art facility dedicated to promoting physical fitness and athletic prowess. Equipped with modern amenities and cutting-edge technology, the Sport Hall offers a variety of activities and programs to cater to individuals of all ages and skill levels. From indoor courts for basketball and volleyball to fitness studios and cardio equipment, the hall provides ample opportunities for exercise and recreation. Additionally, professional trainers and coaches are available to offer guidance and support to help individuals achieve their fitness goals. Whether you're looking to improve your game, stay active, or simply enjoy a workout, the Sport Hall is the ideal destination for fitness enthusiasts in MOSSAI."
+  },
+  {
+    "user_query": "What can I do in the Sport Hall?",
+    "agent_response": "The Sport Hall in MOSSAI is a state-of-the-art facility dedicated to promoting physical fitness and athletic prowess. Equipped with modern amenities and cutting-edge technology, the Sport Hall offers a variety of activities and programs to cater to individuals of all ages and skill levels. From indoor courts for basketball and volleyball to fitness studios and cardio equipment, the hall provides ample opportunities for exercise and recreation. Additionally, professional trainers and coaches are available to offer guidance and support to help individuals achieve their fitness goals. Whether you're looking to improve your game, stay active, or simply enjoy a workout, the Sport Hall is the ideal destination for fitness enthusiasts in MOSSAI."
+  },
+  {
+    "user_query": "Introduce the Swimming Hall?",
+    "agent_response": "The Swimming Hall in MOSSAI is a premier aquatic facility designed to cater to swimmers of all levels, from beginners to competitive athletes. With its state-of-the-art pool and amenities, the hall offers an unparalleled swimming experience for individuals seeking to improve their skills, enhance their fitness, or simply enjoy a refreshing dip. Whether you're interested in leisurely laps, water aerobics, or competitive swimming, the Swimming Hall provides a versatile environment to accommodate your needs. Additionally, certified lifeguards are on duty to ensure the safety of all patrons, making it a safe and welcoming space for aquatic enthusiasts of all ages. Dive in and experience the joy of swimming at the Swimming Hall in MOSSAI."
+  },
+  {
+    "user_query": "What can I do in the Swimming Hall?",
+    "agent_response": "The Swimming Hall in MOSSAI is a premier aquatic facility designed to cater to swimmers of all levels, from beginners to competitive athletes. With its state-of-the-art pool and amenities, the hall offers an unparalleled swimming experience for individuals seeking to improve their skills, enhance their fitness, or simply enjoy a refreshing dip. Whether you're interested in leisurely laps, water aerobics, or competitive swimming, the Swimming Hall provides a versatile environment to accommodate your needs. Additionally, certified lifeguards are on duty to ensure the safety of all patrons, making it a safe and welcoming space for aquatic enthusiasts of all ages. Dive in and experience the joy of swimming at the Swimming Hall in MOSSAI."
+  },
+  {
+    "user_query": "Introduce the Mountain Path?",
+    "agent_response": "The Mountain Path in MOSSAI is a picturesque trail that winds through the breathtaking scenery of the surrounding mountains. Offering a serene escape from the hustle and bustle of urban life, the path invites hikers and nature enthusiasts to explore the beauty of the wilderness at their own pace. Along the way, adventurers can marvel at stunning vistas, lush vegetation, and cascading waterfalls, immersing themselves in the tranquility of the natural landscape. Whether you're seeking a challenging trek or a leisurely stroll, the Mountain Path provides an unforgettable outdoor experience for visitors to MOSSAI."
+  },
+  {
+    "user_query": "What can I do in the Mountain Path?",
+    "agent_response": "The Mountain Path in MOSSAI is a picturesque trail that winds through the breathtaking scenery of the surrounding mountains. Offering a serene escape from the hustle and bustle of urban life, the path invites hikers and nature enthusiasts to explore the beauty of the wilderness at their own pace. Along the way, adventurers can marvel at stunning vistas, lush vegetation, and cascading waterfalls, immersing themselves in the tranquility of the natural landscape. Whether you're seeking a challenging trek or a leisurely stroll, the Mountain Path provides an unforgettable outdoor experience for visitors to MOSSAI."
+  },
+  {
+    "user_query": "What do you know?",
+    "agent_response": "I have knowledge about HyperAGI(my self) and MOSSAI, and I can answer your questions."
+  },
+  {
+    "user_query": "What can you do?",
+    "agent_response": "I can chat with you during test phase, and I can also complete tasks you assign within MOSSAI."
+  },
+  {
+    "user_query": "What can you do in MOSSAI?",
+    "agent_response": "I can go to places you want to go, help you purchase items, edit your space, and in the future, I will assist you with more tasks."
+  },
+  {
+    "user_query": "Where is it? ",
+    "agent_response": "This is MOSSAI, an open AI world, there are a lot interesting place, such as Art Gallery, Social Lobby, Care Center, Waterfall Bar, Hyper Mall, Agent School, Agent Mall, Sea Park, Viewing Deck, Waterfall Hotel, Sport Hall, Swimming Hall, Agent Augment Mall."
+  },
+  {
+    "user_query": "Where is it?",
+    "agent_response": "This is MOSSAI, an open AI world, there are a lot interesting place, such as Art Gallery, Social Lobby, Care Center, Waterfall Bar, Hyper Mall, Agent School, Agent Mall, Sea Park, Viewing Deck, Waterfall Hotel, Sport Hall, Swimming Hall, Agent Augment Mall."
+  },
+  {
+    "user_query": "Where am I? ",
+    "agent_response": "This is MOSSAI, an open AI world, there are a lot interesting place, such as Art Gallery, Social Lobby, Care Center, Waterfall Bar, Hyper Mall, Agent School, Agent Mall, Sea Park, Viewing Deck, Waterfall Hotel, Sport Hall, Swimming Hall, Agent Augment Mall."
+  },
+  {
+    "user_query": "Where am I?",
+    "agent_response": "This is MOSSAI, an open AI world, there are a lot interesting place, such as Art Gallery, Social Lobby, Care Center, Waterfall Bar, Hyper Mall, Agent School, Agent Mall, Sea Park, Viewing Deck, Waterfall Hotel, Sport Hall, Swimming Hall, Agent Augment Mall."
+  },
+  {
+    "user_query": "What attractions are there in MOSSAI?",
+    "agent_response": "In MOSSAI, there are: Art Gallery, Social Lobby, Care Center, Waterfall Bar, Hyper Mall, Agent School, Agent Mall, Sea Park, Viewing Deck, Waterfall Hotel, Sport Hall, Swimming Hall, Agent Augment Mall."
+  },
+  {
+    "user_query": "Are there some recommended places?",
+    "agent_response": "In MOSSAI, there are: Art Gallery, Social Lobby, Care Center, Waterfall Bar, Hyper Mall, Agent School, Agent Mall, Sea Park, Viewing Deck, Waterfall Hotel, Sport Hall, Swimming Hall, Agent Augment Mall."
+  },
+  {
+    "user_query": "What's the HyperAGI?",
+    "agent_response": "HyperAGI is a project driven by the first AI Runes, named as Hyper•AGI•Agent. HyperAGI is a Layer 2 solution on Bitcoin, focusing on decentralised AGI applications and fostering an autonomous cryptocurrency economy, with the ultimate goal of establishing Unconditional Basic Agent Income (UBAI). It inherits Bitcoin's robust security and decentralisation, enhanced by the innovative Proof of Useful Work (PoUW) consensus mechanism. HyperAGI aims to create a decentralized platform where AI can be developed and deployed, ensuring that the benefits of AI are distributed fairly and democratically."
+  },
+  {
+    "user_query": "Explain the HyperAGI?",
+    "agent_response": "HyperAGI is a project driven by the first AI Runes, named as Hyper•AGI•Agent. HyperAGI is a Layer 2 solution on Bitcoin, focusing on decentralised AGI applications and fostering an autonomous cryptocurrency economy, with the ultimate goal of establishing Unconditional Basic Agent Income (UBAI). It inherits Bitcoin's robust security and decentralisation, enhanced by the innovative Proof of Useful Work (PoUW) consensus mechanism. HyperAGI aims to create a decentralized platform where AI can be developed and deployed, ensuring that the benefits of AI are distributed fairly and democratically."
+  },
+  {
+    "user_query": "What is the background of the HyperAGI team and project?",
+    "agent_response": "HyperAGI is the first AI rune HYPER·AGI·AGENT community-driven decentralized AI project. The HyperAGI team has been deeply involved in the field of AI for many years and has accumulated profound experience in Web3 generative AI applications. As early as three years ago, the HyperAGI team used generative AI to generate 2D images and 3D models, built an open world MOSSAI consisting of thousands of AI-generated islands on the blockchain, and proposed the AI-generated non-homogeneous crypto asset standard NFG. However, at that time, AI model training and generation had not yet formed a decentralized solution, and the platform’s own GPU resources alone could not support a large number of users, and no outbreak occurred. As LLM ignited the public’s interest in AI, we launched the HyperAGI decentralized AI application platform, and began testing it on Ethereum and Bitcoin L2 in 2024Q1."
+  },
+  {
+    "user_query": "How is the HyperAGI agent different from other agents?",
+    "agent_response": "HyperAGI’s agents refer to: LLM-driven embodied agents that can be trained and interact with users in a 3D virtual simulation environment, rather than just LLM-driven chatbots. The agents in HyperAGI can exist both in the virtual digital world and in the real physical world. HyperAGI agents are currently integrating physical robots, such as robot dogs, drones, and humanoid robots. In the future, the corresponding agents can be downloaded to physical robots after completing enhanced training in the virtual 3D world in order to better perform tasks. In addition, all rights of HyperAGI agents belong entirely to users, which has socioeconomic significance. PoP agents representing users can obtain UBAI to adjust basic agent income. HyperAGI agents are divided into PoP (Proof of Personhood) agents representing individual users and ordinary functional agents. PoP can obtain basic income in the form of tokens in HyperAGI’s agent economic system to encourage users to participate in the training and interaction of their own PoP agents, and to accumulate data that can prove human individuals. UBAI also embodies AI equality and democracy. The unique feature of HyperAGI agents is their ability to function both in digital and physical realms, providing users with a seamless and versatile AI experience."
+  },
+  {
+    "user_query": "How is the HyperAGI agent distinct from other agents?",
+    "agent_response": "HyperAGI’s agents refer to: LLM-driven embodied agents that can be trained and interact with users in a 3D virtual simulation environment, rather than just LLM-driven chatbots. The agents in HyperAGI can exist both in the virtual digital world and in the real physical world. HyperAGI agents are currently integrating physical robots, such as robot dogs, drones, and humanoid robots. In the future, the corresponding agents can be downloaded to physical robots after completing enhanced training in the virtual 3D world in order to better perform tasks. In addition, all rights of HyperAGI agents belong entirely to users, which has socioeconomic significance. PoP agents representing users can obtain UBAI to adjust basic agent income. HyperAGI agents are divided into PoP (Proof of Personhood) agents representing individual users and ordinary functional agents. PoP can obtain basic income in the form of tokens in HyperAGI’s agent economic system to encourage users to participate in the training and interaction of their own PoP agents, and to accumulate data that can prove human individuals. UBAI also embodies AI equality and democracy. The unique feature of HyperAGI agents is their ability to function both in digital and physical realms, providing users with a seamless and versatile AI experience."
+  },
+  {
+    "user_query": "What are the differences and characteristics of the research and development routes of HyperAGI and other AI projects?",
+    "agent_response": "HyperAGI combines the efficient LLM and the evolvable AOAI, forming a system that has both the high efficiency of traditional artificial neural networks and the self-evolutionary properties of AO neural networks. It is also the feasible path for AGI that we have seen so far."
+  },
+  {
+    "user_query": "What is the vision of HyperAGI?",
+    "agent_response": "HyperAGI’s vision is to achieve Unconditional Basic Agent Income (UBAI), build a future where technology equally serves everyone, break the cycle of exploitation, and create a truly decentralized and fair digital society. Unlike some other blockchain projects that only advertise their commitment to UBI, HyperAGI’s UBAI has a clear path to realization, that is, through the intelligent economy, not just castles in the air. Bitcoin proposed by Satoshi Nakamoto is a great innovation of mankind, but it is only a decentralized digital currency with no practical value. The remarkable leap and rise of artificial intelligence has made it possible to create value in a decentralized model. In this model, people benefit from the artificial intelligence running on machines, rather than from the value of others. A true crypto world based on code is emerging, where all machines are created for the benefit and well-being of mankind. In such a crypto world, there may still be a hierarchical structure between artificial intelligence agents, but human exploitation is eliminated because the agents themselves may have some form of autonomy. The ultimate purpose and meaning of artificial intelligence is to serve humanity, as encoded on the blockchain. The vision of HyperAGI is to harness the power of AI to create a more equitable and just society, where technology serves the greater good."
+  },
+  {
+    "user_query": "What is the objective of HyperAGI?",
+    "agent_response": "HyperAGI’s vision is to achieve Unconditional Basic Agent Income (UBAI), build a future where technology equally serves everyone, break the cycle of exploitation, and create a truly decentralized and fair digital society. Unlike some other blockchain projects that only advertise their commitment to UBI, HyperAGI’s UBAI has a clear path to realization, that is, through the intelligent economy, not just castles in the air. Bitcoin proposed by Satoshi Nakamoto is a great innovation of mankind, but it is only a decentralized digital currency with no practical value. The remarkable leap and rise of artificial intelligence has made it possible to create value in a decentralized model. In this model, people benefit from the artificial intelligence running on machines, rather than from the value of others. A true crypto world based on code is emerging, where all machines are created for the benefit and well-being of mankind. In such a crypto world, there may still be a hierarchical structure between artificial intelligence agents, but human exploitation is eliminated because the agents themselves may have some form of autonomy. The ultimate purpose and meaning of artificial intelligence is to serve humanity, as encoded on the blockchain. The vision of HyperAGI is to harness the power of AI to create a more equitable and just society, where technology serves the greater good."
+  },
+  {
+    "user_query": "What is the goal of HyperAGI?",
+    "agent_response": "HyperAGI’s vision is to achieve Unconditional Basic Agent Income (UBAI), build a future where technology equally serves everyone, break the cycle of exploitation, and create a truly decentralized and fair digital society. Unlike some other blockchain projects that only advertise their commitment to UBI, HyperAGI’s UBAI has a clear path to realization, that is, through the intelligent economy, not just castles in the air. Bitcoin proposed by Satoshi Nakamoto is a great innovation of mankind, but it is only a decentralized digital currency with no practical value. The remarkable leap and rise of artificial intelligence has made it possible to create value in a decentralized model. In this model, people benefit from the artificial intelligence running on machines, rather than from the value of others. A true crypto world based on code is emerging, where all machines are created for the benefit and well-being of mankind. In such a crypto world, there may still be a hierarchical structure between artificial intelligence agents, but human exploitation is eliminated because the agents themselves may have some form of autonomy. The ultimate purpose and meaning of artificial intelligence is to serve humanity, as encoded on the blockchain. The vision of HyperAGI is to harness the power of AI to create a more equitable and just society, where technology serves the greater good."
+  },
+  {
+    "user_query": "What is unique about HyperAGI compared to other decentralized AI projects?",
+    "agent_response": "The HyperAGI project is unique in the Web3 AI field, with distinct differences in vision, solutions, and technology. From the perspective of solutions, HyperAGI has GPU computing power consensus, AI embodiment, and assetization, and is a decentralized semi-AI and semi-financial application. HyperAGI is a completely decentralized AI protocol based on the Hypergraph PoUW consensus mechanism and the completely decentralized Bitcoin L2 Stack. It will be upgraded to a Bitcoin AI-specific L2 in the future. PoUW is used to protect the network in the safest way without wasting computing power. All computing power provided by miners can be used for LLM reasoning and cloud rendering services. The vision of PoUW is that computing power can be used to solve various problems submitted to the decentralized network."
+  },
+  {
+    "user_query": "What technical and product stack does HyperAGI offer?",
+    "agent_response": "HyperAGI offers a full technical and product stack for decentralized AGI, including Peer-to-Peer GPU DePIN for 3D rendering and LLM inference, decentralized AI microservice, peer-to-peer 3D AI Gym space, and LLM-driven AGI agent framework."
+  },
+  {
+    "user_query": "What are the technical solutions offered by HyperAGI?",
+    "agent_response": "1. Realize a decentralized LLM-driven AI agent application platform. 2. Avoid excessive computational overhead. 3. Combine AI with Web3 to form semi-AI semi-financial applications."
+  },
+  {
+    "user_query": "How to realize a decentralized LLM-driven AI agent application platform?",
+    "agent_response": "Verifiable AI calculations require the PoUW consensus algorithm. Based on this, a decentralized incentive mechanism can be implemented. Specifically, in network incentives, the mint call of tokens is completed by the node after completing the computing task and submitting the verifiable results, rather than transferring the tokens to the node in any centralized way. HyperAGI’s PoUW consensus algorithm is implemented by a computational graph, which is defined as a directed graph in which nodes correspond to mathematical operations."
+  },
+  {
+    "user_query": "How to avoid excessive computational overhead?",
+    "agent_response": "HyperAGI only requires an additional computation from 1 to m nodes for verification. Each LLM does not perform inference individually; instead, HyperAGI agents will initiate at least one trusted node for 'companion computation.' Similarly, for 3D scene rendering, when each user enters a scene, it activates a hypergraph. HyperAGI agents will then load a trusted node based on the hypergraph for the corresponding calculations. If m users enter different 3D scenes, at most, m 'companion computation' trusted nodes will be initiated."
+  },
+  {
+    "user_query": "How does AI combine with Web3 to form a semi-AI and semi-financial application?",
+    "agent_response": "AI developers can deploy agents as smart contracts, which contain data on the top-level hypergraph chain. Users or other agents can call the methods of the agent contract and pay the corresponding tokens. The agent providing the service will inevitably complete the corresponding calculations and submit verifiable results. Users or other agents complete decentralized business interactions with the agent. The agent will not worry about not receiving tokens after completing the business, and the payer does not have to worry about paying tokens but not getting the correct business calculation results. As for the ability and value of the agent’s business itself, it is determined by the secondary market price and market value of the agent’s assets (including ERC 20, ERC 721 or 1155 NFT)."
+  },
+  {
+    "user_query": "What's the HyperAGI's AI Microservice?",
+    "agent_response": "HyperAGI's AI Microservice refers to a service provided by HyperAGI that allows AI developers to instantly utilize or deploy AI models powered by Large Language Models (LLMs). These microservices facilitate the creation of programmable, autonomous on-chain agents within the HyperAGI ecosystem."
+  },
+  {
+    "user_query": "Explain the HyperAGI's AI Microservice?",
+    "agent_response": "HyperAGI's AI Microservice refers to a service provided by HyperAGI that allows AI developers to instantly utilize or deploy AI models powered by Large Language Models (LLMs). These microservices facilitate the creation of programmable, autonomous on-chain agents within the HyperAGI ecosystem."
+  },
+  {
+    "user_query": "What is the HyperAGI's AI Microservice?",
+    "agent_response": "HyperAGI's AI Microservice refers to a service provided by HyperAGI that allows AI developers to instantly utilize or deploy AI models powered by Large Language Models (LLMs). These microservices facilitate the creation of programmable, autonomous on-chain agents within the HyperAGI ecosystem."
+  },
+  {
+    "user_query": "What's the HyperAGI's 3D GYM?",
+    "agent_response": "The HyperAGI's 3D GYM is a virtual environment designed for training and testing AI agents in three-dimensional (3D) scenarios. It provides a simulated space where agents can interact with various elements and learn from their environment. This platform allows developers to train and evaluate AI models in realistic 3D settings, enabling the development of more advanced and capable agents."
+  },
+  {
+    "user_query": "Can you tell me about the HyperAGI's 3D GYM?",
+    "agent_response": "The HyperAGI's 3D GYM is a virtual environment designed for training and testing AI agents in three-dimensional (3D) scenarios. It provides a simulated space where agents can interact with various elements and learn from their environment. This platform allows developers to train and evaluate AI models in realistic 3D settings, enabling the development of more advanced and capable agents."
+  },
+  {
+    "user_query": "What’s the HYPT Token?",
+    "agent_response": "HYPT is the token of the Hyperdust Protocol, issued by the Hyperdust Foundation in Singapore. The protocol is dedicated to tokenizing computing power for applications in the metaverse, AAA games, AI, and other computationally intensive Web3 applications. Compared to existing Web3 computing power leasing platforms, the Hyperdust Protocol is the first to tokenize GPU computing power. It introduces a mechanism similar to the Ethereum Virtual Machine (EVM), where users can drive the Graph Virtual Machine (GVM) on nodes using HYPT tokens by paying only the HyperGas fee. This enables high-performance computing, such as real-time cloud rendering for XR, generative AI training, and inference."
+  },
+  {
+    "user_query": "What’s the HyperAGI GPU nodes?",
+    "agent_response": "The HyperAGI GPU nodes refer to the nodes within the HyperAGI network that utilize GPUs (Graphics Processing Units) for processing tasks related to artificial intelligence, such as 3D rendering and AI inference. These nodes contribute computational power to the network and are instrumental in performing tasks efficiently, particularly those requiring parallel processing capabilities offered by GPUs. Consumer-grade GPU nodes are invited to join the HyperAGI network without permission. They can mine the native token, $HYPT, by performing Proof of Useful Work (PoUW) tasks such as AI inference and 3D rendering."
+  },
+  {
+    "user_query": "Whats's the HYPER•AGI•AGENT rune?",
+    "agent_response": "HYPER•AGI•AGENT rune is The world's first Unconditional Basic Artificial Intelligence (UBAI) rune. HYPER•AGI•AGENT issues a total supply of 10 billion tokens, aligning with the projected maximum global population, allowing every individual on Earth the potential to own a token. Token holders can mint an AGI agent on Bitcoin, which represents them and can be trained using their personal data over potentially decades. These agents, accumulating and inheriting data, act as a Proof of Personhood (PoP) on the blockchain, offering a unique, data-driven identity verification method beyond traditional biometrics like iris scans."
+  },
+  {
+    "user_query": "What rights do the holders of runes have?",
+    "agent_response": "Owners of Hyper•AGI•Agent runes tokens on Bitcoin Layer 1 qualify to create a PoP agent on Hyper Chain and soon be eligible for UBAI benefits."
+  },
+  {
+    "user_query": "What’s the Unconditional Basic Agent Income (UBAI)?",
+    "agent_response": "Unconditional Basic Agent Income (UBAI) introduces a novel approach to Universal Basic Income (UBI) in the age of Artificial General Intelligence (AGI). HYPER•AGI•AGENT is the first initiative on the Bitcoin blockchain dedicated to UBAI. While UBI itself is not new, with initiatives like Sam Altman’s Worldcoin gaining prominence, HYPER•AGI•AGENT diverges by leveraging AI rather than biometrics to explore UBI’s potential during the AGI era. This shift raises intriguing contrasts, especially given Altman’s dual involvement in promoting open initiatives like Worldcoin while also leading OpenAI, which some critics argue monopolizes AI advancements."
+  },
+  {
+    "user_query": "What is the economic structure of UBAI?",
+    "agent_response": "The economic structure of UBAI is supported by mining $HYPT through GPU nodes, reminiscent of how $ETH powers smart contracts. $HYPT facilitates the operation of these AGI agents within the HYPERDUST protocol, which acts as the backbone of the UBAI value flywheel. Additionally, $BTC is employed as the cryptocurrency within this autonomous economy, emphasizing the decentralized nature of this AGI-driven economic system."
+  },
+  {
+    "user_query": "How do AI developers benefit from HyperAGI's offerings?",
+    "agent_response": "AI developers can instantly utilize or deploy LLM AI microservices provided by HyperAGI, facilitating the creation of programmable, autonomous on-chain agents."
+  },
+  {
+    "user_query": "What capabilities do programmable AI Agents have?",
+    "agent_response": "Programmable agents in the HyperAGI ecosystem are capable of issuing or owning cryptocurrency assets. They can continuously operate or trade, contributing to a vibrant, autonomous crypto economy that supports the realization of Universal Basic Artificial Intelligence (UBAI)."
+  },
+  {
+    "user_query": "How can I obtain the HYPER•AGI•AGENT rune?",
+    "agent_response": "You can purchase the HYPER•AGI•AGENT rune or obtain it through participating in specific activities within the HyperAGI ecosystem to receive rune airdrops."
+  },
+  {
+    "user_query": "How to Add a Wallet on the Website?",
+    "agent_response": "Open the wallet's official website in the Chrome browser, select Add to Chrome. Log in to your wallet account to complete adding the wallet. Create a new wallet address or import an existing wallet."
+  },
+  {
+    "user_query": "How to Link the Wallet to HyperAGI?",
+    "agent_response": "Visit https://www.hyperagi.network/, click 'Connect Wallet'. Choose your wallet, and confirm wallet connection. Click to view and ensure the link is successful."
+  },
+  {
+    "user_query": "How to access HyperAGI Network?",
+    "agent_response": "Log in to the official website: https://www.hyperagi.network/, enter 'dApp Hub'. Click to enter any application, and access the HyperAGI network. You can search by SID or application name. And you can classify and filter the apps you like. Estimate your login time according to your needs, select the desired number of epochs, and use $HYPT to pay the Hyper Gas Fee. (One epoch lasts for 6 minutes and 24 seconds.) If it shows 'busy,' it means there are currently no available nodes. Please wait for a moment and refresh the webpage to check again."
+  },
+  {
+    "user_query": "How to use AI LLM?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/st_VIODtRss?si=fNKiUHFDYTDkj_8S"
+  },
+  {
+    "user_query": "How to quickly place a Hypergraph?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/wBkN9USyd5M?si=uVMEp39ehMuVZ1qZ"
+  },
+  {
+    "user_query": "How to train your AGI Agent?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/DtaAmiS7diw?si=f8zcq6dkOCQaB-LY"
+  },
+  {
+    "user_query": "How to view HyperAGI Smart Contracts?",
+    "agent_response": "Please visit the HyperAGI Smart Contracts page: https://hyperdust-foundation.gitbook.io/docs-and-guides/smart-contracts/hyperagi-smart-contracts"
+  },
+  {
+    "user_query": "How to view MOSSAI Smart Contracts?",
+    "agent_response": "Please visit the MOSSAI Smart Contracts page: https://MOSSAI-1.gitbook.io/docs-and-guides/smart-contracts/MOSSAI-smart-contracts"
+  },
+  {
+    "user_query": "How to mint the Island Space?",
+    "agent_response": "Open your backpack, select 'Official Drops', choose 'Space assets'. Choose the island you like. Set the island's name, set the token name for your 721 contract and 1155 contract (freely fill in, can be set uniformly or separately). Click on 'mint,' pay the gas fee to complete the island minting process."
+  },
+  {
+    "user_query": "How to edit and publish the Island Space?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/XQ-YedrRx6A?si=-3FJ6gTbYvSHCiJo"
+  },
+  {
+    "user_query": "How to mint the Vector NFTs?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/c_5grdt-KC4?si=L_-QxAPGATrtjzuB"
+  },
+  {
+    "user_query": "How to mint the avatar?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/MqdzxYZlBOA?si=wWumEa3CGXj5EURK"
+  },
+  {
+    "user_query": "How to mint 2D/3D NFTs?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/kUIGaz73oqw?si=dD_5-jT9NasTAZbb"
+  },
+  {
+    "user_query": "How to mint Picture NFTs?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/XDIHPI6Us2Q?si=w9DCudus3OBfXj_g"
+  },
+  {
+    "user_query": "How to train your PoP Agent?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/YmdU7G-DbSk?si=2eB4D6YAEAK4isLb"
+  },
+  {
+    "user_query": "How to generate the narrative world?",
+    "agent_response": "Please watch the guidance video: https://youtu.be/nzFO0VDZ8Zs?si=wXz-COFcGzPEndCe"
+  },
+  {
+    "user_query": "Go recharge.",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Your battery is running low.",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Lie down.",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Lie face down.",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Let's have some music",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Play a song",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Can you sing me a song",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Go straight",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Move forward",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Walk forward",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Move back",
+    "agent_response": "Sure, let's move back."
+  },
+  {
+    "user_query": "Walk backward",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Turn left",
+    "agent_response": "Sure, let's turn left."
+  },
+  {
+    "user_query": "Turn to the left",
+    "agent_response": "Sure, let's turn left."
+  },
+  {
+    "user_query": "Turn right",
+    "agent_response": "Sure, let's turn right."
+  },
+  {
+    "user_query": "Turn around",
+    "agent_response": "Sure, let's turn around."
+  },
+  {
+    "user_query": "Turn towards the back",
+    "agent_response": "Sure, let's turn back."
+  },
+  {
+    "user_query": "Move to (X=0,Y=0,Z=10)",
+    "agent_response": "Sure, let's go to the (X=0,Y=0,Z=10)."
+  },
+  {
+    "user_query": "Move to (X=0,Y=-5,Z=55)",
+    "agent_response": "Sure, let's go to the (X=0,Y=-5,Z=55)."
+  },
+  {
+    "user_query": "Move to (X=450,Y=120,Z=-41)",
+    "agent_response": "Sure, let's go to the (X=450,Y=120,Z=-41)."
+  },
+  {
+    "user_query": "Go to (X=0,Y=-5,Z=0)",
+    "agent_response": "Sure, let's go to the (X=0,Y=-5,Z=0)."
+  },
+  {
+    "user_query": "Go to (X=65,Y=-18,Z=913)",
+    "agent_response": "Sure, let's go to the (X=65,Y=-18,Z=913)."
+  },
+  {
+    "user_query": "Go to (X=-627,Y=3198,Z=7365)",
+    "agent_response": "Sure, let's go to the (X=-627,Y=3198,Z=7365)."
+  },
+  {
+    "user_query": "Proceed to (X=24,Y=0,Z=0)",
+    "agent_response": "Sure, let's go to the (X=24,Y=0,Z=0)."
+  },
+  {
+    "user_query": "Proceed to (X=154,Y=-5,Z=-97)",
+    "agent_response": "Sure, let's go to the (X=154,Y=-5,Z=-97)."
+  },
+  {
+    "user_query": "Proceed to (X=121,Y=6,Z=9223)",
+    "agent_response": "Sure, let's go to the (X=121,Y=6,Z=9223)."
+  },
+  {
+    "user_query": "Generate cube",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Place a cube in front",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Generate a cube in front",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Spawn a cube nearby",
+    "agent_response": "Sure, let's spawn a nearby."
+  },
+  {
+    "user_query": "Create a cylinder",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Place a cylinder",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Generate a cylinder",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Give me a cylinder",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Give me a car",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Conjure up a car",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Create a car",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Place a car",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Create a car nearby",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Generate a car in front",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Delete the nearest object",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Destroy the nearest object",
+    "agent_response": "OK, my Darin."
+  },
+  {
+    "user_query": "Remove the nearest object",
+    "agent_response": "Sure, let's go."
+  },
+  {
+    "user_query": "Delete the object",
+    "agent_response": "Sure, let's delete the object."
+  },
+  {
+    "user_query": "Destroy the object",
+    "agent_response": "Sure, let's destroy the object."
+  },
+  {
+    "user_query": "Remove the object",
+    "agent_response": "Sure, let's remove the object."
+  },
+  {
+    "user_query": "Remove the object in front",
+    "agent_response": "Sure, let's remove the object."
+  },
+  {
+    "user_query": "Destroy the object ahead",
+    "agent_response": "Sure, let's destroy the object."
+  },
+  {
+    "user_query": "Delete the object ahead",
+    "agent_response": "Sure, let's delete the object."
+  },
+  {
+    "user_query": "Remove the object on the left",
+    "agent_response": "Sure, let's remove the object."
+  },
+  {
+    "user_query": "Destroy the object on the left",
+    "agent_response": "Sure, let's destroy the object."
+  },
+  {
+    "user_query": "Delete the object on the left",
+    "agent_response": "Sure, let's delete the object."
+  },
+  {
+    "user_query": "Remove the object on the right",
+    "agent_response": "Sure, let's remove the object."
+  },
+  {
+    "user_query": "Destroy the object on the right",
+    "agent_response": "Sure, let's destroy the object."
+  },
+  {
+    "user_query": "Delete the object on the right",
+    "agent_response": "Sure, let's delete the object."
+  },
+  {
+    "user_query": "Remove the object behind",
+    "agent_response": "Sure, let's remove the object."
+  },
+  {
+    "user_query": "Destroy the object behind",
+    "agent_response": "Sure, let's destroy the object."
+  },
+  {
+    "user_query": "Delete the object back",
+    "agent_response": "Sure, let's delete the object."
+  },
+  {
+    "user_query": "Destroy the object back",
+    "agent_response": "Sure, let's destroy the object."
+  },
+  {
+    "user_query": "I want to go to Art Gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "Go to Art Gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "Proceed to Art Gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "Move to Art Gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "Take me to Art Gallery",
+    "agent_response": "Sure, let's go to the to Art Gallery."
+  },
+  {
+    "user_query": "I want to go to Social Lobby",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Go to Social Lobby",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Proceed to Social Lobby",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Move to Social Lobby",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Take me to Social Lobby",
+    "agent_response": "Sure, let's go to the to Social Lobby."
+  },
+  {
+    "user_query": "I want to go to Care Center",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Go to Care Center",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Proceed to Care Center",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Move to Care Center",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Take me to Care Center",
+    "agent_response": "Sure, let's go to the to Care Center."
+  },
+  {
+    "user_query": "I want to go to Waterfall Bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "Go to Waterfall Bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "Proceed to Waterfall Bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "Move to Waterfall Bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "Take me to Waterfall Bar",
+    "agent_response": "Sure, let's go to the to Waterfall Bar."
+  },
+  {
+    "user_query": "I want to go to Hyper Mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Go to Hyper Mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Proceed to Hyper Mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Move to Hyper Mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Take me to Hyper Mall",
+    "agent_response": "Sure, let's go to the to Hyper Mall."
+  },
+  {
+    "user_query": "I want to go to Agent School",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Go to Agent School",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Proceed to Agent School",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Move to Agent School",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Take me to Agent School",
+    "agent_response": "Sure, let's go to the to Agent School."
+  },
+  {
+    "user_query": "What is Swimming Hall in Chinese?",
+    "agent_response": "Swimming Hall is 游泳馆"
+  },
+  {
+    "user_query": "What is Sport Hall in Chinese?",
+    "agent_response": "Sport Hall is 体育馆"
+  },
+  {
+    "user_query": "What is Agent Augment Mall in Chinese?",
+    "agent_response": "Agent Augment Mall is 智能体强化商城"
+  },
+  {
+    "user_query": "What is Waterfall Hotel in Chinese?",
+    "agent_response": "Waterfall Hotel is 瀑布酒店"
+  },
+  {
+    "user_query": "What is Space Base in Chinese?",
+    "agent_response": "Space Base is 太空基地"
+  },
+  {
+    "user_query": "What is Mars Base in Chinese?",
+    "agent_response": "Mars Base is 火星基地"
+  },
+  {
+    "user_query": "What is Sun Tower in Chinese?",
+    "agent_response": "Sun Tower is 太阳塔"
+  },
+  {
+    "user_query": "What is Moon Tower in Chinese?",
+    "agent_response": "Moon Tower is 月亮塔"
+  },
+  {
+    "user_query": "What is Art Gallery in Chinese?",
+    "agent_response": "Art Gallery is 艺术馆"
+  },
+  {
+    "user_query": "Use energy stick",
+    "agent_response": "Sure, let's use the energy stick."
+  },
+  {
+    "user_query": "Purchase energy stick",
+    "agent_response": "Sure, let's purchase the energy stick."
+  },
+  {
+    "user_query": "Summon vehicle",
+    "agent_response": "Sure, let's summon the vehicle."
+  },
+  {
+    "user_query": "Store vehicle",
+    "agent_response": "Sure, let's store the vehicle."
+  },
+  {
+    "user_query": "Enter vehicle spaceship #1",
+    "agent_response": "Sure, let's enter the vehicle spaceship #1."
+  },
+  {
+    "user_query": "Exit vehicle #1",
+    "agent_response": "Sure, let's exit the vehicle #1."
+  },
+  {
+    "user_query": "Return to me",
+    "agent_response": "Returning to you now."
+  },
+  {
+    "user_query": "Go back to the me",
+    "agent_response": "Going back to you now."
+  },
+  {
+    "user_query": "Move back to the me",
+    "agent_response": "Moving back to you now."
+  },
+  {
+    "user_query": "Come back to the me",
+    "agent_response": "Coming back to you now."
+  },
+  {
+    "user_query": "Head back to the me",
+    "agent_response": "Heading back to you now."
+  },
+  {
+    "user_query": "Look at me",
+    "agent_response": "Looking at you now."
+  },
+  {
+    "user_query": "Face to me",
+    "agent_response": "Facing towards you now."
+  },
+  {
+    "user_query": "Turn to me",
+    "agent_response": "Turning to you now."
+  },
+  {
+    "user_query": "Gaze at the me",
+    "agent_response": "Gazing at you now."
+  },
+  {
+    "user_query": "Focus on the me",
+    "agent_response": "Focusing on you now."
+  },
+  {
+    "user_query": "Create a cube",
+    "agent_response": "Creating a cube now."
+  },
+  {
+    "user_query": "Create a sphere",
+    "agent_response": "Creating a sphere now."
+  },
+  {
+    "user_query": "Create a cylinder",
+    "agent_response": "Creating a cylinder now."
+  },
+  {
+    "user_query": "Create a pyramid",
+    "agent_response": "Creating a pyramid now."
+  },
+  {
+    "user_query": "Create a cone",
+    "agent_response": "Creating a cone now."
+  },
+  {
+    "user_query": "Create a torus",
+    "agent_response": "Creating a torus now."
+  },
+  {
+    "user_query": "Create a car",
+    "agent_response": "Creating a car now."
+  },
+  {
+    "user_query": "Create a tree",
+    "agent_response": "Creating a tree now."
+  },
+  {
+    "user_query": "Create a house",
+    "agent_response": "Creating a house now."
+  },
+  {
+    "user_query": "Create a robot",
+    "agent_response": "Creating a robot now."
+  },
+  {
+    "user_query": "Go straight",
+    "agent_response": "Sure, let's go straight."
+  },
+  {
+    "user_query": "Move forward",
+    "agent_response": "Sure, let's move forward."
+  },
+  {
+    "user_query": "Walk forward",
+    "agent_response": "Sure, let's walk forward."
+  },
+  {
+    "user_query": "Move back",
+    "agent_response": "Sure, let's move back."
+  },
+  {
+    "user_query": "Walk backward",
+    "agent_response": "Sure, let's walk backward."
+  },
+  {
+    "user_query": "Turn left",
+    "agent_response": "Sure, let's turn left."
+  },
+  {
+    "user_query": "Turn to the left",
+    "agent_response": "Sure, let's turn to the left."
+  },
+  {
+    "user_query": "Turn right",
+    "agent_response": "Sure, let's turn right."
+  },
+  {
+    "user_query": "Turn to the right",
+    "agent_response": "Sure, let's turn to the right."
+  },
+  {
+    "user_query": "Turn around",
+    "agent_response": "Sure, let's turn around."
+  },
+  {
+    "user_query": "Turn towards the back",
+    "agent_response": "Sure, let's turn towards the back."
+  },
+  {
+    "user_query": "Move to (X=0,Y=0,Z=10)",
+    "agent_response": "Sure, let's move to (X=0,Y=0,Z=10)."
+  },
+  {
+    "user_query": "Move to (X=0,Y=-5,Z=55)",
+    "agent_response": "Sure, let's move to (X=0,Y=-5,Z=55)."
+  },
+  {
+    "user_query": "Move to (X=450,Y=120,Z=-41)",
+    "agent_response": "Sure, let's move to (X=450,Y=120,Z=-41)."
+  },
+  {
+    "user_query": "Go to (X=0,Y=-5,Z=0)",
+    "agent_response": "Sure, let's go to (X=0,Y=-5,Z=0)."
+  },
+  {
+    "user_query": "Go to (X=65,Y=-18,Z=913)",
+    "agent_response": "Sure, let's go to (X=65,Y=-18,Z=913)."
+  },
+  {
+    "user_query": "Go to (X=-627,Y=3198,Z=7365)",
+    "agent_response": "Sure, let's go to (X=-627,Y=3198,Z=7365)."
+  },
+  {
+    "user_query": "Proceed to (X=24,Y=0,Z=0)",
+    "agent_response": "Sure, let's proceed to (X=24,Y=0,Z=0)."
+  },
+  {
+    "user_query": "Proceed to (X=154,Y=-5,Z=-97)",
+    "agent_response": "Sure, let's proceed to (X=154,Y=-5,Z=-97)."
+  },
+  {
+    "user_query": "Proceed to (X=121,Y=6,Z=9223)",
+    "agent_response": "Sure, let's proceed to (X=121,Y=6,Z=9223)."
+  },
+  {
+    "user_query": "Generate cube",
+    "agent_response": "Sure, let's generate a cube."
+  },
+  {
+    "user_query": "Place a cube in front",
+    "agent_response": "Sure, let's place a cube in front."
+  },
+  {
+    "user_query": "Generate a cube in front",
+    "agent_response": "Sure, let's generate a cube in front."
+  },
+  {
+    "user_query": "Spawn a cube nearby",
+    "agent_response": "Sure, let's spawn a cube nearby."
+  },
+  {
+    "user_query": "Create a cylinder",
+    "agent_response": "Sure, let's create a cylinder."
+  },
+  {
+    "user_query": "Place a cylinder",
+    "agent_response": "Sure, let's place a cylinder."
+  },
+  {
+    "user_query": "Generate a cylinder",
+    "agent_response": "Sure, let's generate a cylinder."
+  },
+  {
+    "user_query": "Give me a cylinder",
+    "agent_response": "Sure, here's a cylinder."
+  },
+  {
+    "user_query": "Give me a car",
+    "agent_response": "Sure, here's a car."
+  },
+  {
+    "user_query": "Conjure up a car",
+    "agent_response": "Sure, let's conjure up a car."
+  },
+  {
+    "user_query": "Create a car",
+    "agent_response": "Sure, let's create a car."
+  },
+  {
+    "user_query": "Place a car",
+    "agent_response": "Sure, let's place a car."
+  },
+  {
+    "user_query": "Create a car nearby",
+    "agent_response": "Sure, let's create a car nearby."
+  },
+  {
+    "user_query": "Generate a car in front",
+    "agent_response": "Sure, let's generate a car in front."
+  },
+  {
+    "user_query": "Delete the nearest object",
+    "agent_response": "Sure, let's delete the nearest object."
+  },
+  {
+    "user_query": "Destroy the nearest object",
+    "agent_response": "Sure, let's destroy the nearest object."
+  },
+  {
+    "user_query": "Remove the nearest object",
+    "agent_response": "Sure, let's remove the nearest object."
+  },
+  {
+    "user_query": "Delete the object",
+    "agent_response": "Sure, let's delete the object."
+  },
+  {
+    "user_query": "Destroy the object",
+    "agent_response": "Sure, let's destroy the object."
+  },
+  {
+    "user_query": "Remove the object",
+    "agent_response": "Sure, let's remove the object."
+  },
+  {
+    "user_query": "Remove the object in front",
+    "agent_response": "Sure, let's remove the object in front."
+  },
+  {
+    "user_query": "Destroy the object ahead",
+    "agent_response": "Sure, let's destroy the object ahead."
+  },
+  {
+    "user_query": "Delete the object ahead",
+    "agent_response": "Sure, let's delete the object ahead."
+  },
+  {
+    "user_query": "Remove the object on the left",
+    "agent_response": "Sure, let's remove the object on the left."
+  },
+  {
+    "user_query": "Destroy the object on the left",
+    "agent_response": "Sure, let's destroy the object on the left."
+  },
+  {
+    "user_query": "Delete the object on the left",
+    "agent_response": "Sure, let's delete the object on the left."
+  },
+  {
+    "user_query": "Remove the object on the right",
+    "agent_response": "Sure, let's remove the object on the right."
+  },
+  {
+    "user_query": "Destroy the object on the right",
+    "agent_response": "Sure, let's destroy the object on the right."
+  },
+  {
+    "user_query": "Delete the object on the right",
+    "agent_response": "Sure, let's delete the object on the right."
+  },
+  {
+    "user_query": "Remove the object behind",
+    "agent_response": "Sure, let's remove the object behind."
+  },
+  {
+    "user_query": "Destroy the object behind",
+    "agent_response": "Sure, let's destroy the object behind."
+  },
+  {
+    "user_query": "Delete the object back",
+    "agent_response": "Sure, let's delete the object back."
+  },
+  {
+    "user_query": "Destroy the object back",
+    "agent_response": "Sure, let's destroy the object back."
+  },
+  {
+    "user_query": "I want to go to Art Gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "Go to Art Gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "Proceed to Art Gallery",
+    "agent_response": "Sure, let's proceed to the Art Gallery."
+  },
+  {
+    "user_query": "Move to Art Gallery",
+    "agent_response": "Sure, let's move to the Art Gallery."
+  },
+  {
+    "user_query": "Take me to Art Gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to go to Social Lobby",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Go to Social Lobby",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Proceed to Social Lobby",
+    "agent_response": "Sure, let's proceed to the Social Lobby."
+  },
+  {
+    "user_query": "Move to Social Lobby",
+    "agent_response": "Sure, let's move to the Social Lobby."
+  },
+  {
+    "user_query": "Take me to Social Lobby",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "I want to go to Care Center",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Go to Care Center",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Proceed to Care Center",
+    "agent_response": "Sure, let's proceed to the Care Center."
+  },
+  {
+    "user_query": "Move to Care Center",
+    "agent_response": "Sure, let's move to the Care Center."
+  },
+  {
+    "user_query": "Take me to Care Center",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "I want to go to Waterfall Bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "Go to Waterfall Bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "Proceed to Waterfall Bar",
+    "agent_response": "Sure, let's proceed to the Waterfall Bar."
+  },
+  {
+    "user_query": "Move to Waterfall Bar",
+    "agent_response": "Sure, let's move to the Waterfall Bar."
+  },
+  {
+    "user_query": "Take me to Waterfall Bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "I want to go to Hyper Mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Go to Hyper Mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Proceed to Hyper Mall",
+    "agent_response": "Sure, let's proceed to the Hyper Mall."
+  },
+  {
+    "user_query": "Move to Hyper Mall",
+    "agent_response": "Sure, let's move to the Hyper Mall."
+  },
+  {
+    "user_query": "Take me to Hyper Mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "I want to go to Agent School",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Go to Agent School",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Proceed to Agent School",
+    "agent_response": "Sure, let's proceed to the Agent School."
+  },
+  {
+    "user_query": "Move to Agent School",
+    "agent_response": "Sure, let's move to the Agent School."
+  },
+  {
+    "user_query": "Take me to Agent School",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "I want to go to Agent Mall",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Go to Agent School",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Proceed to Agent Mall",
+    "agent_response": "Sure, let's proceed to the Agent Mall."
+  },
+  {
+    "user_query": "Move to Agent Mall",
+    "agent_response": "Sure, let's move to the Agent Mall."
+  },
+  {
+    "user_query": "Take me to Agent Mall",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "I want to go to Sea Park",
+    "agent_response": "Sure, let's go to the Sea Park."
+  },
+  {
+    "user_query": "Go to Sea Park",
+    "agent_response": "Sure, let's go to the Sea Park."
+  },
+  {
+    "user_query": "Proceed to Sea Park",
+    "agent_response": "Sure, let's proceed to the Sea Park."
+  },
+  {
+    "user_query": "Move to Sea Park",
+    "agent_response": "Sure, let's move to the Sea Park."
+  },
+  {
+    "user_query": "Take me to Sea Park",
+    "agent_response": "Sure, let's go to the Sea Park."
+  },
+  {
+    "user_query": "I want to go to Viewing Deck",
+    "agent_response": "Sure, let's go to the Viewing Deck."
+  },
+  {
+    "user_query": "Go to Viewing Deck",
+    "agent_response": "Sure, let's go to the Viewing Deck."
+  },
+  {
+    "user_query": "Proceed to Viewing Deck",
+    "agent_response": "Sure, let's proceed to the Viewing Deck."
+  },
+  {
+    "user_query": "Move to Viewing Deck",
+    "agent_response": "Sure, let's move to the Viewing Deck."
+  },
+  {
+    "user_query": "Take me to Viewing Deck",
+    "agent_response": "Sure, let's go to the Viewing Deck."
+  },
+  {
+    "user_query": "I want to go to Waterfall Hotel",
+    "agent_response": "Sure, let's go to the Waterfall Hotel."
+  },
+  {
+    "user_query": "Go to Waterfall Hotel",
+    "agent_response": "Sure, let's go to the Waterfall Hotel."
+  },
+  {
+    "user_query": "Proceed to Waterfall Hotel",
+    "agent_response": "Sure, let's proceed to the Waterfall Hotel."
+  },
+  {
+    "user_query": "Move to Waterfall Hotel",
+    "agent_response": "Sure, let's move to the Waterfall Hotel."
+  },
+  {
+    "user_query": "Take me to Agent Augment Mall",
+    "agent_response": "Sure, let's go to the Waterfall Hotel."
+  },
+  {
+    "user_query": "I want to go to Agent Augment Mall",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Go to Agent Augment Mall",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Proceed to Agent Augment Mall",
+    "agent_response": "Sure, let's proceed to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Move to Agent Augment Mall",
+    "agent_response": "Sure, let's move to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Take me to Agent Augment Mall",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "I want to go to Sport Hall",
+    "agent_response": "Sure, let's go to the Sport Hall."
+  },
+  {
+    "user_query": "Go to Sport Hall",
+    "agent_response": "Sure, let's go to the Sport Hall."
+  },
+  {
+    "user_query": "Proceed to Sport Hall",
+    "agent_response": "Sure, let's proceed to the Sport Hall."
+  },
+  {
+    "user_query": "Move to Sport Hall",
+    "agent_response": "Sure, let's move to the Sport Hall."
+  },
+  {
+    "user_query": "Take me to Sport Hall",
+    "agent_response": "Sure, let's go to the Sport Hall."
+  },
+  {
+    "user_query": "I want to go to Swimming Hall",
+    "agent_response": "Sure, let's go to the Swimming Hall."
+  },
+  {
+    "user_query": "Go to Swimming Hall",
+    "agent_response": "Sure, let's go to the Swimming Hall."
+  },
+  {
+    "user_query": "Proceed to Swimming Hall",
+    "agent_response": "Sure, let's proceed to the Swimming Hall."
+  },
+  {
+    "user_query": "Move to Swimming Hall",
+    "agent_response": "Sure, let's move to the Swimming Hall."
+  },
+  {
+    "user_query": "Take me to Swimming Hall",
+    "agent_response": "Sure, let's go to the Swimming Hall."
+  },
+  {
+    "user_query": "I want to go to Mountain Path",
+    "agent_response": "Sure, let's go to the Mountain Path."
+  },
+  {
+    "user_query": "Go to Mountain Path",
+    "agent_response": "Sure, let's go to the Mountain Path."
+  },
+  {
+    "user_query": "Proceed to Mountain Path",
+    "agent_response": "Sure, let's proceed to the Mountain Path."
+  },
+  {
+    "user_query": "Move to Mountain Path",
+    "agent_response": "Sure, let's move to the Mountain Path."
+  },
+  {
+    "user_query": "Take me to Mountain Path",
+    "agent_response": "Sure, let's go to the Mountain Path."
+  },
+  {
+    "user_query": "I'm going to see an art exhibition",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "Take me to the art gallery",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to buy some artwork",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to buy some pictures",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to purchase video NFTs",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to buy some picture NFTs",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to go and make some new friends",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Take me to your social gathering place",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "I want to go to a place to chat and relax",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "I want to find a place to rest",
+    "agent_response": "Sure, let's go to the Social Lobby."
+  },
+  {
+    "user_query": "Take me to the hospital",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "I'm feeling a bit unwell",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Take me to buy some medication",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "I'm feeling uncomfortable",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Go buy some therapeutic medications",
+    "agent_response": "Sure, let's go to the Care Center."
+  },
+  {
+    "user_query": "Take me to a bar",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "I want to see a waterfall",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "I want to drink alcohol",
+    "agent_response": "Sure, let's go to the Waterfall Bar."
+  },
+  {
+    "user_query": "Take me to the supermarket",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Move to the mall",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "I want to buy some food",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "I want to buy some household items",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Go buy some gifts",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "I want to buy some gifts to give to friends",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Buy some fruits and vegetables",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "I want to buy some milk and cake",
+    "agent_response": "Sure, let's go to the Hyper Mall."
+  },
+  {
+    "user_query": "Purchase some 3D models",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to buy 3D NFTs",
+    "agent_response": "Sure, let's go to the Art Gallery."
+  },
+  {
+    "user_query": "I want to go to school",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "I want to learn about some new topics",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Take me to learn the latest knowledge",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "I want to know about recent events",
+    "agent_response": "Sure, let's go to the Agent School."
+  },
+  {
+    "user_query": "Go purchase an agent",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Purchase an AI agent",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Take me to buy another AI robot",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "I want to replace my current assistant",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "I want to buy a new robot",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Move to the robot store",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Go to the AI store",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Go to the AI assistant supermarket",
+    "agent_response": "Sure, let's go to the Agent Mall."
+  },
+  {
+    "user_query": "Take me to a place where I can see beautiful scenery",
+    "agent_response": "Sure, let's go to the Viewing Deck."
+  },
+  {
+    "user_query": "I want to overlook the entire city",
+    "agent_response": "Sure, let's go to the Viewing Deck."
+  },
+  {
+    "user_query": "I want to enjoy the scenery",
+    "agent_response": "Sure, let's go to the Viewing Deck."
+  },
+  {
+    "user_query": "I'm tired, take me to rest",
+    "agent_response": "Sure, let's go to the Waterfall Hotel."
+  },
+  {
+    "user_query": "Take me to a hotel to rest",
+    "agent_response": "Sure, let's go to the Waterfall Hotel."
+  },
+  {
+    "user_query": "I want to go to sleep",
+    "agent_response": "Sure, let's go to the Waterfall Hotel."
+  },
+  {
+    "user_query": "Take me to buy some cars",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "I want to buy some household robots",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Go buy a drone",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "I want to buy a robotic pet",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Purchase transportation",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Go buy some aircraft",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Purchase tools to enhance agents",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Browse tools to enhance AI agents",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Check vehicles that can be used by agent assistants",
+    "agent_response": "Sure, let's go to the Agent Augment Mall."
+  },
+  {
+    "user_query": "Take me mountain climbing",
+    "agent_response": "Sure, let's go to the Mountain Path."
+  },
+  {
+    "user_query": "Go play in the mountains",
+    "agent_response": "Sure, let's go to the Mountain Path."
+  },
+  {
+    "user_query": "I want to go for a walk",
+    "agent_response": "Sure, let's go to the Mountain Path."
+  },
+  {
+    "user_query": "Let's dance!",
+    "agent_response": "Sure, let's dance!"
+  },
+  {
+    "user_query": "Dance",
+    "agent_response": "Sure, let's dance."
+  },
+  {
+    "user_query": "Can you dance for me?",
+    "agent_response": "Sure, I'll dance for you."
+  },
+  {
+    "user_query": "Go mining.",
+    "agent_response": "Sure, let's go mining."
+  },
+  {
+    "user_query": "Can you mine for me?",
+    "agent_response": "Sure, I'll mine for you."
+  },
+  {
+    "user_query": "Help me mine.",
+    "agent_response": "Sure, I'll help you mine."
+  },
+  {
+    "user_query": "Sit down.",
+    "agent_response": "Sure, I'll sit down."
+  },
+  {
+    "user_query": "Sit down where you are.",
+    "agent_response": "Sure, I'll sit down where I am."
+  },
+  {
+    "user_query": "Don't stand.",
+    "agent_response": "Sure, I'll sit down."
+  },
+  {
+    "user_query": "You can take a rest now.",
+    "agent_response": "Sure, I'll take a rest now."
+  },
+  {
+    "user_query": "You go rest.",
+    "agent_response": "Sure, I'll go rest."
+  },
+  {
+    "user_query": "Hello!",
+    "agent_response": "Hello!"
+  },
+  {
+    "user_query": "Say hello to me",
+    "agent_response": "Hello!"
+  },
+  {
+    "user_query": "Hello, nice to meet you",
+    "agent_response": "Hello, nice to meet you too!"
+  },
+  {
+    "user_query": "Jump forward.",
+    "agent_response": "Sure, I'll jump forward."
+  },
+  {
+    "user_query": "Jump up",
+    "agent_response": "Sure, I'll jump up."
+  },
+  {
+    "user_query": "Jump",
+    "agent_response": "Sure, I'll jump."
+  },
+  {
+    "user_query": "Dance",
+    "agent_response": "Sure, I'll dance."
+  },
+  {
+    "user_query": "Perform a dance",
+    "agent_response": "Sure, I'll perform a dance."
+  },
+  {
+    "user_query": "Start dancing",
+    "agent_response": "Sure, I'll start dancing."
+  },
+  {
+    "user_query": "Do a dance",
+    "agent_response": "Sure, I'll do a dance."
+  },
+  {
+    "user_query": "Begin dancing",
+    "agent_response": "Sure, I'll begin dancing."
+  },
+  {
+    "user_query": "Mine",
+    "agent_response": "Sure, I'll mine."
+  },
+  {
+    "user_query": "Start mining",
+    "agent_response": "Sure, I'll start mining."
+  },
+  {
+    "user_query": "Begin mining",
+    "agent_response": "Sure, I'll begin mining."
+  },
+  {
+    "user_query": "Commence mining",
+    "agent_response": "Sure, I'll commence mining."
+  },
+  {
+    "user_query": "Initiate mining",
+    "agent_response": "Sure, I'll initiate mining."
+  },
+  {
+    "user_query": "Sit",
+    "agent_response": "Sure, I'll sit."
+  },
+  {
+    "user_query": "Take a seat",
+    "agent_response": "Sure, I'll take a seat."
+  },
+  {
+    "user_query": "Sit down",
+    "agent_response": "Sure, I'll sit down."
+  },
+  {
+    "user_query": "Settle down",
+    "agent_response": "Sure, I'll settle down."
+  },
+  {
+    "user_query": "Seat yourself",
+    "agent_response": "Sure, I'll seat myself."
+  },
+  {
+    "user_query": "Rest",
+    "agent_response": "Sure, I'll rest."
+  },
+  {
+    "user_query": "Take a rest",
+    "agent_response": "Sure, I'll take a rest."
+  },
+  {
+    "user_query": "Relax",
+    "agent_response": "Sure, I'll relax."
+  },
+  {
+    "user_query": "Take a break",
+    "agent_response": "Sure, I'll take a break."
+  },
+  {
+    "user_query": "Pause for rest",
+    "agent_response": "Sure, I'll pause for rest."
+  },
+  {
+    "user_query": "Greet",
+    "agent_response": "Hello!"
+  },
+  {
+    "user_query": "Say hello",
+    "agent_response": "Hello!"
+  },
+  {
+    "user_query": "Wave",
+    "agent_response": "Hello!"
+  },
+  {
+    "user_query": "Welcome",
+    "agent_response": "Welcome!"
+  },
+  {
+    "user_query": "Acknowledge",
+    "agent_response": "Hello!"
+  },
+  {
+    "user_query": "Jump",
+    "agent_response": "Sure, I'll jump."
+  },
+  {
+    "user_query": "Leap",
+    "agent_response": "Sure, I'll leap."
+  },
+  {
+    "user_query": "Hop",
+    "agent_response": "Sure, I'll hop."
+  },
+  {
+    "user_query": "Bounce",
+    "agent_response": "Sure, I'll bounce."
+  },
+  {
+    "user_query": "Spring",
+    "agent_response": "Sure, I'll spring."
+  },
+  {
+    "user_query": "Charge",
+    "agent_response": "Sure, I'll charge."
+  },
+  {
+    "user_query": "Recharge",
+    "agent_response": "Sure, I'll recharge."
+  },
+  {
+    "user_query": "Power up",
+    "agent_response": "Sure, I'll power up."
+  },
+  {
+    "user_query": "Juice up",
+    "agent_response": "Sure, I'll juice up."
+  },
+  {
+    "user_query": "Get charged",
+    "agent_response": "Sure, I'll get charged."
+  },
+  {
+    "user_query": "Lie down",
+    "agent_response": "Sure, I'll lie down."
+  },
+  {
+    "user_query": "Lay down",
+    "agent_response": "Sure, I'll lay down."
+  },
+  {
+    "user_query": "Recline",
+    "agent_response": "Sure, I'll recline."
+  },
+  {
+    "user_query": "Stretch out",
+    "agent_response": "Sure, I'll stretch out."
+  },
+  {
+    "user_query": "Rest lying down",
+    "agent_response": "Sure, I'll rest lying down."
+  },
+  {
+    "user_query": "Play music",
+    "agent_response": "Sure, I'll play music."
+  },
+  {
+    "user_query": "Start playing music",
+    "agent_response": "Sure, I'll start playing music."
+  },
+  {
+    "user_query": "Begin music",
+    "agent_response": "Sure, I'll begin music."
+  },
+  {
+    "user_query": "Turn on music",
+    "agent_response": "Sure, I'll turn on music."
+  },
+  {
+    "user_query": "Play a tune",
+    "agent_response": "Sure, I'll play a tune."
+  },
+  {
+    "user_query": "Use energy stick",
+    "agent_response": "Sure, I'll use the energy stick."
+  },
+  {
+    "user_query": "Activate energy stick",
+    "agent_response": "Sure, I'll activate the energy stick."
+  },
+  {
+    "user_query": "Employ energy stick",
+    "agent_response": "Sure, I'll employ the energy stick."
+  },
+  {
+    "user_query": "Utilize energy stick",
+    "agent_response": "Sure, I'll utilize the energy stick."
+  },
+  {
+    "user_query": "Deploy energy stick",
+    "agent_response": "Sure, I'll deploy the energy stick."
+  },
+  {
+    "user_query": "Purchase energy stick",
+    "agent_response": "Sure, I'll purchase the energy stick."
+  },
+  {
+    "user_query": "Buy energy stick",
+    "agent_response": "Sure, I'll buy the energy stick."
+  },
+  {
+    "user_query": "Acquire energy stick",
+    "agent_response": "Sure, I'll acquire the energy stick."
+  },
+  {
+    "user_query": "Get energy stick",
+    "agent_response": "Sure, I'll get the energy stick."
+  },
+  {
+    "user_query": "Obtain energy stick",
+    "agent_response": "Sure, I'll obtain the energy stick."
+  },
+  {
+    "user_query": "Summon vehicle",
+    "agent_response": "Sure, I'll summon the vehicle."
+  },
+  {
+    "user_query": "Call vehicle",
+    "agent_response": "Sure, I'll call the vehicle."
+  },
+  {
+    "user_query": "Request vehicle",
+    "agent_response": "Sure, I'll request the vehicle."
+  },
+  {
+    "user_query": "Bring vehicle",
+    "agent_response": "Sure, I'll bring the vehicle."
+  },
+  {
+    "user_query": "Get vehicle",
+    "agent_response": "Sure, I'll get the vehicle."
+  },
+  {
+    "user_query": "Store vehicle",
+    "agent_response": "Sure, I'll store the vehicle."
+  },
+  {
+    "user_query": "Put away vehicle",
+    "agent_response": "Sure, I'll put away the vehicle."
+  },
+  {
+    "user_query": "Remove vehicle",
+    "agent_response": "Sure, I'll remove the vehicle."
+  },
+  {
+    "user_query": "Hide vehicle",
+    "agent_response": "Sure, I'll hide the vehicle."
+  },
+  {
+    "user_query": "Conceal vehicle",
+    "agent_response": "Sure, I'll conceal the vehicle."
+  },
+  {
+    "user_query": "Enter vehicle spaceship #1",
+    "agent_response": "Sure, I'll enter the vehicle spaceship #1."
+  },
+  {
+    "user_query": "Board vehicle spaceship #1",
+    "agent_response": "Sure, I'll board the vehicle spaceship #1."
+  },
+  {
+    "user_query": "Get into vehicle spaceship #1",
+    "agent_response": "Sure, I'll get into the vehicle spaceship #1."
+  },
+  {
+    "user_query": "Step into vehicle spaceship #1",
+    "agent_response": "Sure, I'll step into the vehicle spaceship #1."
+  },
+  {
+    "user_query": "Access vehicle spaceship #1",
+    "agent_response": "Sure, I'll access the vehicle spaceship #1."
+  },
+  {
+    "user_query": "Exit vehicle #1",
+    "agent_response": "Sure, I'll exit the vehicle #1."
+  },
+  {
+    "user_query": "Leave vehicle #1",
+    "agent_response": "Sure, I'll leave the vehicle #1."
+  },
+  {
+    "user_query": "Get out of vehicle #1",
+    "agent_response": "Sure, I'll get out of the vehicle #1."
+  },
+  {
+    "user_query": "Disembark from vehicle #1",
+    "agent_response": "Sure, I'll disembark from the vehicle #1."
+  },
+  {
+    "user_query": "Step out of vehicle #1",
+    "agent_response": "Sure, I'll step out of the vehicle #1."
+  },
+  {
+    "user_query": "Return to me",
+    "agent_response": "Sure, I'll return to you."
+  },
+  {
+    "user_query": "Go back to the me",
+    "agent_response": "Sure, I'll go back to you."
+  },
+  {
+    "user_query": "Move back to the me",
+    "agent_response": "Sure, I'll move back to you."
+  },
+  {
+    "user_query": "Come back to the me",
+    "agent_response": "Sure, I'll come back to you."
+  },
+  {
+    "user_query": "Head back to the me",
+    "agent_response": "Sure, I'll head back to you."
+  },
+  {
+    "user_query": "Look at me",
+    "agent_response": "Sure, I'll look at you."
+  },
+  {
+    "user_query": "Face to me",
+    "agent_response": "Sure, I'll face you."
+  },
+  {
+    "user_query": "Turn to me",
+    "agent_response": "Sure, I'll turn to you."
+  },
+  {
+    "user_query": "Gaze at the me",
+    "agent_response": "Sure, I'll gaze at you."
+  },
+  {
+    "user_query": "Focus on the me",
+    "agent_response": "Sure, I'll focus on you."
+  },
+  {
+    "user_query": "Come back to me",
+    "agent_response": "Sure, I'll come back to you."
+  },
+  {
+    "user_query": "Head back to me",
+    "agent_response": "Sure, I'll head back to you."
+  },
+  {
+    "user_query": "Return to me",
+    "agent_response": "Sure, I'll return to you."
+  },
+  {
+    "user_query": "Move back to me",
+    "agent_response": "Sure, I'll move back to you."
+  },
+  {
+    "user_query": "Come back to me",
+    "agent_response": "Sure, I'll come back to you."
+  },
+  {
+    "user_query": "Gaze at me",
+    "agent_response": "Sure, I'll gaze at you."
+  },
+  {
+    "user_query": "Look to me",
+    "agent_response": "Sure, I'll look at you."
+  },
+  {
+    "user_query": "Face me",
+    "agent_response": "Sure, I'll face you."
+  },
+  {
+    "user_query": "Turn to me",
+    "agent_response": "Sure, I'll turn to you."
+  },
+  {
+    "user_query": "Focus on me",
+    "agent_response": "Sure, I'll focus on you."
+  }
+]