Behind the Explosion of TG Bot: The Intent to Trade is Opening the Door to Intelligent Interaction in Web3

Summary

(1) Understanding Intent: Top-down Anoma and Bottom-up TG Bot

(2) Deep Intent: AI is the new UI - Complex Commands VS Simple Intent

(3) Navigation Intent: The evolution of the concept of Intent, interaction paradigms, current status, and trends

( Guiding Intent: Challenges and Prospects of Intelligent Web3 Interaction

The concept of Intent is not new, but it has recently gained significant attention in the cryptocurrency space. In June, Paradigm published an article that brought the concept of Intent to the forefront, leading to rapid development of related protocols and infrastructure, and it became a hot topic at the ETHCC conference in July.

The concept of intent has been around for a long time, focusing on the abstraction and automation of operations. This effort spans from aggregators to centralized exchanges, and further to smart contract wallets and cross-chain DeFi. The recent Telegram bot has taken this trend to a new height.

Intent has brought about new changes. In the past, the focus was on product interaction, whereas in the AGI era, the focus is on human-machine interaction. AI/LLM contains immense potential to enhance the encrypted interaction experience.

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01, Top-down Anoma and Bottom-up Unibot

In the past six months, projects related to intention have emerged one after another. Here are two typical examples to illustrate.

The Anoma Foundation is the most striking project related to intent. In the context of severe homogenization in Layer 1, Anoma has an intent-centric architecture and has raised a total of $57.8 million in three rounds of funding, ranking seventh in financing among Layer 1/Layer 2 projects that have not issued tokens.

The core of Anoma is: all interactions begin with intent. After the user expresses intent, it is processed by Anoma's black box architecture, enabling an intent-based transaction process:

• Users can send transparent, private, or protected intents to Anoma.
• The parser collects intents and performs matching.
• Matched trades are submitted to the encrypted memory pool, where validators package, execute, and update the status.

The Anoma team has identified the underlying pain points of blockchain protocols and believes that an intent-centric architecture is the architecture of third-generation Dapps, allowing users to define the desired outcome state and achieve efficient and customizable privacy transactions.

In contrast, the TG Bot has opened up the imaginative space for Intent application scenarios with its on-chain automated trading tools. Unibot is a trading robot based on Telegram that provides automated DEX trading, sniper buying, copy trading, and other functions, simplifying the DeFi interaction experience. The total market value of the TG Bot sector is approaching $200 million.

Top-down Anoma is innovation, while bottom-up TG Bot is transformation. Both paths lead to the same goal, aiming to simplify the user experience and introduce a programmable, customizable user interaction interface - User Intent Layer, allowing users to bypass complex on-chain operations and directly define transaction status.

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02, AI is the new UI: Command Interaction VS Intent Interaction

The AI paradigm is introducing a third user interface paradigm in the history of computing, where users only need to express what they want, rather than how to do it.

• Paradigm One: Batch Processing
• Paradigm Two: Command-Based Interaction Design
• Paradigm Three: Intent-Based Result Specification

Every revolution in interaction modes generates entirely new business models. AI-driven by LLM brings disruptive changes to human-computer interaction, transforming the original UI interactions into conversations with the ChatGPT chat window. LLM + crypto introduces a new proposition based on intent interactions to the crypto world, promising to make blockchain interactions smarter.

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03. The Evolution of the Concept of Intent, Interaction Paradigms, Current Status and Trends

The concept of intent has existed since the Web 2.0 era and has developed alongside the rise of search engines. In 2017, Gartner officially proposed the concept of "intent-based web," indicating that this will be the next milestone in the field of the internet.

From Web2 to Web3, although the concept of intent is not clear, there is some consensus:

• Paradigm Definition: Intent is a set of declarative constraints that allow users to delegate the creation of transactions to third parties while retaining full control over the process.
• Anoma Definition: Intent is the message sent by the user, expressing custom preferences, defining what the system can do, rather than a specific execution path.
• Propellerheads definition: Intents are parts of transactions that require assistance from others, simplifying complex transactions through outsourcing.

Web3 Intent-Based Transaction Process: Users create intents off-chain, outsource to a resolver off-chain, reduce on-chain interaction barriers, while retaining user control over the process.

The concept of intent introduces a user intent-centric LLM architecture. Relevant protocols and infrastructure 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, and the robot/AI Agent/third-party parser will complete complex on-chain operations. This is expected to significantly reduce the complexity of users' on-chain interactions.

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More and more Web3 projects are currently exploring the potential of intent. We categorize them into four main types:

Infrastructure:

• DappOS
• Flash 2.0 SUAVE
• Anoma
• Cow Protocol

Supporting facilities:

• ERC 4337
• Account abstraction related: packager, wallet SDK, etc.
• Intent-related: programming languages, trading protocols, automation services, etc.

Enterprise Applications:

• Trading Parser API
• Intent API
• Intent Trading Infrastructure
• Composable Intent Tools

Consumer Applications:

• Wallets: Safe, Biconomy, etc.
• DEX: CowSwap, Uniswap, etc.
• Intelligent Frontend: Unibot, Web3 Analytics, etc.

![The explosive popularity of TG Bot: The intention trading is knocking on the door of intelligent interaction in Web3])https://img-cdn.gateio.im/webp-social/moments-84ecb77bf7d2a7c2a0173494b7212393.webp(

The trends in the consumer application layer are the most exciting:

Wallet Intelligence: ERC-4337 introduces a new user intent layer, leading to a recent surge in user numbers. AA+ intent is expected to give rise to smart contract wallet )SCW(.

DEX Architecture Transformation: Intent-based trading aims to improve capital efficiency and user experience. More and more DEXs are shifting to intent-based architectures, leading to significant changes in the industry landscape.

Intelligent Interaction Entry: TG Bot and others are transforming the Web3 frontend interaction interface, focusing on understanding user intentions and converting them into automated tasks. Web3 AI Agents, intelligent search engines, and others are making Web3 interactions more intelligent.

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04, The Challenges and Prospects of Intelligent Interaction in Web3

Despite facing numerous challenges, such as the lack of relevant programming languages, architectures, parsers, etc., the prospects remain bright.

With the emergence of intent-centric protocols, Web3 is expected to evolve into a more user-friendly smart interaction interface. Users can interact with mainstream applications in a one-stop manner, experiencing simplicity akin to booking a ride with Uber. This represents a true opportunity for Web3 Dapps to surpass Web2 in terms of user experience.

More importantly, the intention-centered approach will return the power of discourse to users. Ordinary users can leverage third-party bots/parsers to complete customized trades, becoming the true helmsmen of on-chain activities, rather than passive participants.

Whether it's account abstraction, chain abstraction, or intent, Web3 is finally starting to focus on user experience. The dawn of intelligent interaction is about to illuminate this dark forest.

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