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Behind TG Bot: Intent Interaction Opens a New Era of Web3
The Boom Behind TG Bot: Intent Trading Opens the Door to Intelligent Web3 Interaction
Summary
(1) Understanding Intent: Top-Down Anoma and Bottom-Up TG Bot
(2) Deep Intent: AI is the new user interface - Complex Commands VS Simple Intent
(3) Navigation Intent: Evolution of Intent Concepts, Interaction Paradigms, Current Status and Trends
( Guidance Intent: Challenges and Prospects of Intelligent Web3 Interaction
In June of this year, Paradigm first introduced the concept of Intent) to the public. Protocols and infrastructure related to intent rapidly developed, and the ETHCC conference in July became a hot topic in the crypto world.
Intent is not a new concept. As Mindao, the founder of DForce, said, the crypto space has been engaged in extreme abstraction and automation, working on everything from aggregators, centralized exchanges, contract wallets to cross-chain DeFi, along with Chainlink, automated middleware, and the recent Telegram bots.
Intent to bring new changes. In the past, the core was product interaction, while in the AGI era, the core is human-computer interaction. AI/language models contain more potential for enhanced encrypted interactions.
Top-Down Anoma and Bottom-Up Unibot
In the past six months, protocols, projects, and infrastructure related to intention have been booming one after another. Here, we will examine two typical cases to get a glimpse of the broader picture.
The most notable is the Anoma Foundation, which completed a $25 million Series C financing at the end of May 2023. In the context of serious homogenization in Layer 1, the Anoma Foundation, with its intent-centric Anoma architecture and privacy Layer 1 Namada, has raised a total of $57.8 million in three rounds of financing, ranking 7th among Layer 1/Layer 2 projects that have not issued tokens.
Adrian Brink, the founder of Anoma, stated in his speech at EthCC that the magic of Anoma lies in: all interactions begin with intent, and after users express their intent, it is processed through Anoma's black box architecture to realize the core transaction process based on intent interaction:
The Anoma team has identified the underlying pain points of blockchain protocols. They reviewed the architectural limitations from the first generation of Bitcoin's scriptable settlement to the second generation of Ethereum's programmable settlement, which has led to the current application protocols requiring at least one Web2 component, making it impossible to achieve counterparty discovery and resolution. They believe that the intent-centric Anoma architecture is a third-generation blockchain protocol architecture that allows users to define the desired outcome state, achieving efficient and customized privacy transactions at the intent level, ushering in a new era.
Despite the strong financing background and innovative technological architecture, the Heliax development team, composed of 37 interdisciplinary members, is making slow progress but has already formed a complete innovative ecosystem.
Although many institutions are optimistic about the potential of intent-centered architecture, the top-down Anoma has only laid the technical foundation so far, without any exciting real-world applications. Meanwhile, the TG Bot has opened up the imagination for the implementation of intent segmentation scenarios with on-chain automated trading tools.
Unibot is a Telegram-based trading bot that allows users to conduct automated DEX trades via Telegram, offering features such as sniper buying, copy trading, DEX limit orders, privacy, and anti-MEV. Unibot replaces the cumbersome interactions of Uniswap with Intent, providing a convenient DeFi experience. Unibot has also spawned a number of TG Bot clones, with the current total market value of the TG Bot sector nearing $200 million.
Top-down Anoma is innovation, while bottom-up TG Bot is transformation. Anoma starts from an intent-based underlying architecture but progresses slowly; TG Bot provides users with a new on-chain interactive interface, but it is not intelligent enough and has security risks.
The two paths converge with a common goal - to simplify the user interaction experience, introducing a new programmable and customizable user interaction interface - User Intent Layer (, allowing users to bypass complex on-chain interactions and define transaction status based on intent.
![The Rise of TG Bot: Intent Trading is Knocking on the Door of Intelligent Interaction in Web3])https://img-cdn.gateio.im/webp-social/moments-4a462840b03c62ffc001cc61e644bc5f.webp(
AI is the new user interface: Command Interaction vs Intent Interaction
Exploring the intent behind it, AI is fundamentally changing the user interaction interface at the lowest level of the crypto world.
The AI paradigm introduces the third user interface paradigm in the history of computing, shifting to a new interaction mechanism - users tell the computer what they want, rather than how to do it.
Each revolution in interactive modes throughout history has generated entirely new business models. LLM-based generative AI brings disruptive changes to human-computer interaction, directly transforming the original software UI interactions into interactions with the ChatGPT chat window, which is an unprecedented experience. LLM + crypto introduces a new proposition based on intent-driven interaction to the crypto world; LLM has the potential to make blockchain interactions smarter by discovering and describing user intentions.
![Behind the popularity of TG Bot: The intention to trade is knocking on the door of intelligent interaction in Web3])https://img-cdn.gateio.im/webp-social/moments-3b9630218902fd6f6531b443b3b38ece.webp(
The Evolution of the Concept of Intent, Interaction Paradigms, Current Status, and Trends
Intent is not a new concept; it has existed since the Web2 era. With the rise of search engines like Google, users can enter intents to obtain relevant search results. The emergence of e-commerce platforms like Amazon and eBay has brought significant changes to intent-based architecture, allowing users to express their intent to purchase products, while the platform takes care of logistics. In 2017, Gartner introduced the concept of "Intent-based Networking" )Intent-based Networking(, where users only need to express their needs, and the platform handles the business details.
Intent-based networking is the development trend of network automation and intelligence in the Web2 era. Gartner Research Vice President Andrew Lerner pointed out in 2017 that intent-based networking will be the next milestone in the field of networking.
In the evolution from Web2 to Web3, the concept of intent in Web3 is not clear, but there are some common understandings:
Paradigm Definition: Intent is a set of declarative constraints that allows users to delegate the creation of transactions to a specialized network of third-party participants while retaining full control over the process.
Anoma definition: Intent is a message sent by the user to express custom preferences, defining the constraints of what the system can do, rather than a specific execution path.
Definition of Propellerheads: Intent is the part of the transaction that requires help from others, simplifying complex transactions by outsourcing the difficult parts to third parties.
In real use cases of intent-based transactions in Web3, users create intents off-chain, outsource them to a resolver off-chain, encapsulating the complexity of blockchain interactions while retaining complete control over the process on-chain for users, thus lowering the threshold for on-chain interactions.
The intention is to bring the LLM architectural concept - a user intent-centric architecture. Currently, the crypto protocols and infrastructure related to intent centric are embedded in the interaction layer between users and Crypto, leveraging LLM to provide a better on-chain interaction experience.
LLM+Crypto brings a new paradigm of human-computer interaction, allowing users' intentions to be directly converted into smart contract calls. Users only need to express their intentions like using Siri, with robots/AI agents/third-party parsers helping to complete complex on-chain operations. In the future, intent-based Web3 interaction intelligence has the potential to significantly reduce the complexity of user on-chain interactions.
AI is becoming the new user interface, and more and more Web3 projects are exploring the magic of intent. Whether it is intent-based Dapps or intent-based underlying architecture, they release the potential of intent from different angles. From an interaction perspective, it can be divided into four main categories:
Infrastructure ) intention-centric architecture layer (:
Supporting facilities ) related to intent and related to account abstract wallets supporting infrastructure (:
Enterprise applications ) integrate Dapp's intent infrastructure, API, modular intent layer, specific domain parser (:
The intelligent interface for consumer applications ) user interaction includes wallets, DEX, Web3 AI Agent, and smart search engines (:
The intent-based architecture, infrastructure, and enterprise applications attempt to solve underlying problems, but infrastructure cannot be built overnight. The trend of intent consumer application layers is the most exciting, as the evolution of interaction gateways such as wallets and DEX shows the potential for intelligent interaction.
Wallet Intelligence: ERC-4337 introduces a new user intent layer )UserOps(, where users express their intentions, and the bundler converts those intentions into executable signed transactions. In recent months, the number of ERC4337 users has significantly increased, with ZeroDev, Biconomy, and Safe modular smart accounts being the most motivated to drive AA+ intent, which has the potential to foster wallet intelligence in the future )SCW(.
The transformation of DEX architecture: Intent Based Trading ) is aimed at improving capital efficiency and user interaction experience. CoW Hooks chains complex actions, while UniswapX allows users to sign intent for off-chain matching and on-chain settlement. Similar intent-based DEXs like BananaHq, Brink, and basedmarkets are gradually increasing, and a new Intent-based RFQ narrative ( SYMMIO ) is unfolding. As more DEXs and aggregators shift towards intent-based architecture, the DEX landscape is undergoing significant changes.
Intelligent Interaction Entry: Similar to the transformation of Web3 front-end interaction interfaces by TG Bot, the interaction entry focuses on understanding user intentions and systematically converting them into automated, actionable tasks. It's not just TG Bot-like trading robots; Web3 AI Agents and Web3 intelligent search engines are also making Web3 interactions smarter.
Challenges and Prospects of Intelligent Web3 Interaction
The interaction experience of Web3 products in the past has indeed hindered large-scale adoption, and the on-chain wealth effect has obscured many product issues. Now, liquidity is scarce, and user attention is fragmented, resulting in a lack of on-chain liquidity.
At the July ETHCC conference, developers widely discussed an intent-centric future and how to help users interact with DAPPs more intelligently in Web3. However, the implementation of intent-centric approaches still faces many challenges: