چگونه در LBank PromptBidder (PROMPT) بخریم

PromptBidder is an artificial intelligence-focused Web3 project built on the Solana blockchain. Its primary objective is to create a decentralized ecosystem for the trading and utility of AI prompts. The platform serves as a marketplace where prompt engineers can offer their creations and where users or businesses can acquire them to improve their interactions with AI models. One of the project's standout features is its specialized advertising service. It aims to bridge the gap between businesses and individuals using AI tools like ChatGPT or Perplexity. Through this system, advertisers can place content that appears when users search for specific problems or topics that a business can solve. This model uses a unique metric known as Cost Per AI-Referred Mille, which is designed to align advertising placements with actual interest generated via AI referrals. The project was co-founded by Rohan Arora and Venkat Krishnan. It gained early recognition after being backed by the startup accelerator Y Combinator. Beyond its advertising capabilities, PromptBidder provides a dashboard for creators to manage their prompt engineering and for advertisers to monitor campaign performance. The token associated with the project, often referred to as prompt, serves as the native utility asset for the ecosystem. It is used to facilitate transactions within the prompt marketplace, allowing users to exchange specific AI instructions. Additionally, the token is utilized by advertisers to bid on and secure advertising slots within the network. Some platform documentation also suggests that the token may be used for governance, enabling holders to influence platform policies and participate in the network's decentralized structure. By leveraging the speed of the Solana network, the project aims to create a streamlined experience for the emerging prompt economy. It focuses on the intersection of generative AI and blockchain technology to provide new ways for creators to showcase their expertise while offering businesses targeted ways to reach users of large language models. بیشتر بدانید