Behind the TG Bot Craze: Intent-Based Trading Opens a New Era of Intelligent Interaction in Web3

Abstract

1. Understanding Intent: Top-down Anoma and Bottom-up TG Bot
2. In-depth Intent: AI as the New User Interface - From Complex Commands to Simple Intent
3. Navigation Intent: The Evolution of the Intent Concept, Interaction Paradigms, Current Status and Trends
4. Looking Ahead: Challenges and Prospects of Intelligent Interaction in Web3

In June, Paradigm published an article "Intent-Based Architectures and Their Risks" that brought the concept of intent ( Intent ) into the public eye for the first time. Protocols and infrastructure related to intent have rapidly developed and became an unavoidable hot topic in the crypto space at the ETHCC conference in July.

Although the intention is not a completely new concept, it has brought about new changes. In the past, the focus was on product interaction, whereas in the age of artificial intelligence, the focus is on human-computer interaction. AI/language models contain tremendous potential to enhance the encrypted interaction experience.

01. Anoma's Top-Down Approach vs. Unibot's Bottom-Up Approach

In the past six months, agreements, projects, and infrastructure related to intentions have gradually attracted attention. Here, we take a glimpse of the overall picture through two typical cases.

Against the backdrop of severe homogeneity in Layer 1, the Anoma Foundation has completed three rounds of financing totaling $57.8 million, ranking 7th in financing among non-token issuing Layer 1/Layer 2 projects, leveraging the intent-centric architecture Anoma( Dapp full-stack architecture) and Namada( privacy Layer1).

Adrian Brink, the founder of Anoma, stated during his speech at EthCC that the magic of Anoma lies in the fact that all interactions begin with intent. The intent expressed by users is processed through Anoma's black box architecture, realizing the core transaction process based on intent interactions.

• User Interaction: Users send transparent, private, or protected intentions to the Anoma black box architecture.
• Intent Collection and Matching: The parser collects intents, performs balance state transitions, and achieves counterpart matching.
• Transaction processing: Matched transactions are submitted to the encrypted memory pool, and validators send the blocks packaged by proposers to the execution layer to complete execution and verification, ultimately updating the state root.

The Anoma team recognizes the pain points at the bottom layer of blockchain protocols and points out that the intent-centric Anoma architecture is a third-generation Dapp architecture for the evolution of blockchain protocols, allowing users to define the desired outcome state and achieve efficient and customizable privacy transactions at the intent level.

Currently, the Anoma ecosystem is built by a team of 37 interdisciplinary members from the Heliax development team. Although progress is slow, a complete innovative ecosystem has been formed.

• Anoma: Intention-Centric Universal Dapp Architecture
• Namada: The privacy settlement Layer 1 of the Anoma ecosystem
• AnomaVM: Simplifying DApp development on Anoma
• Typhon: Improved consensus based on Cosmos's Tendermint
• Taiga: Provides a composable privacy unified execution environment

Compared to the top-down Anoma, tools like Unibot and other TG Bots have opened up the imagination for the implementation of intent segmentation scenarios through on-chain automated trading.

Unibot is a Telegram-based trading bot that allows users to perform automated DEX trading through Telegram and offers features such as sniper buying, copy trading, DEX limit orders, privacy, and anti-MEV. Unibot replaces the cumbersome interactions of Uniswap based on Intent, providing a convenient DeFi experience. Unibot has also spawned a batch of TG Bot clones, and the total market value of the current TG Bot track has approached 200 million USD.

The top-down Anoma is innovation, while the bottom-up TG Bot is transformation. Both paths lead to the same goal, aiming to simplify user interaction experiences and introduce a new programmable and customizable user interaction interface - User Intent Layer (, allowing users to skip complex on-chain operations and define transaction status based on intent.

![The Rise of TG Bot: The Intentional Trading is Opening the Door to Intelligent Interaction in Web3])https://img-cdn.gateio.im/webp-social/moments-eec28b83c0c4f7dde790403e85e29d87.webp(

02. AI Becomes the New User Interface: Command Interaction vs Intent Interaction

The paradigm of artificial intelligence is introducing a third user interface paradigm in the history of computers, shifting towards a new interaction mechanism where users tell the computer 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 patterns throughout history has spawned entirely new business models. Generative AI based on large language models has brought about a disruptive change in human-computer interaction, directly transforming the original software UI interactions into interactions with a ChatGPT chat window, which is an unprecedented experience. The combination of LLM and cryptographic technology introduces a new proposition based on intent-driven interactions in the crypto world, where LLM has the potential to make blockchain interactions smarter by discovering and describing user intentions.

![Behind the explosive popularity of TG Bot: Intent-based trading is knocking on the door of intelligent interaction in Web3])https://img-cdn.gateio.im/webp-social/moments-4a462840b03c62ffc001cc61e644bc5f.webp(

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

Intent is not a new concept; it has existed since the Web 2.0 era. With the rise of search engines like Google, users can input their intent, and the search engines provide relevant results to satisfy that intent.

The rise of e-commerce platforms has led to a significant transformation in intent-based architecture, allowing users to express their purchasing intentions while the platform takes care of logistics. In 2017, Gartner officially introduced the concept of Intent-based Networking )Intent-based Networking(, presenting users with an interface that only requires them to express their needs, while the platform handles the business details.

The concept of intent in Web3 is not clear, but there is some consensus:

• Definition of Paradigm: Intention is a set of declarative constraints that allows users to delegate the creation of transactions to a network of specialized third-party participants while retaining full control over the process.

• Anoma Definition: Intent is a message sent by the user that expresses custom preferences and defines the constraints on what the system can do, rather than a specific execution path.

• Propellerheads Definition: Intentions that require assistance from others in a transaction, simplifying complex transactions by outsourcing the difficult parts to third parties.

In Web3 intent-based transactions, users create intents off-chain, outsource them to parsers, encapsulating the complexity of blockchain interactions while retaining full on-chain control over the process, thereby lowering the threshold for on-chain interactions.

The intention has introduced the concept of an LLM architecture centered around user intent. 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 user intent to be directly converted into smart contract calls. Users only need to express their intent as they would with Siri, with the robot/AI agent/third-party parser handling complex on-chain operations. The future of intent-based Web3 interaction is expected to significantly reduce the complexity of user on-chain interactions.

![The explosive growth of TG Bot: Intentional trading is knocking on the door of intelligent interaction in Web3])https://img-cdn.gateio.im/webp-social/moments-3b9630218902fd6f6531b443b3b38ece.webp(

More and more Web3 projects are exploring the potential of intent. We can categorize it into four major types from an interaction perspective:

Infrastructure ) intent-centric architecture layer (:

• DappOS
• Flash 2.0 SUAVE
• Anoma
• Cow Protocol

Infrastructure ) related to intent and account abstraction wallets:

• ERC 4337
• Account abstraction related: packaging infrastructure, wallet SDK
• Intent-related: Juvix, Seaport, Gelato, etc.

Enterprise application ( integrating Dapp's intent infrastructure, API, modular intent layer, domain-specific parser ):

• Trading Parser API: PropelleHeads
• Intent API: EnsoFinance
• Intent Trading Infrastructure: Bob the Solver, Brink
• Composable Intent Tool: Essential

Consumer Application ( Smart User Interaction Interface ):

• Wallets: Safe, Bitconomy, Argent, etc.
• DEX: CowSwap, Paraswap, Uniswap, etc.
• Smart Frontend: Unibot, Dora, Web3 Analytics, etc.

The evolution of interactive entry points such as wallets and DEXs at the consumer application layer showcases the potential for intelligent interactions.

Wallet Intelligence: ERC-4337 introduces a new user intent layer (UserOps), where users express their intent, and the packager converts the intent into executable signed transactions. Recently, the number of ERC4337 users has increased significantly, with ZeroDev, Biconomy, and Safe modular smart accounts actively promoting AA+intent. In the future, this is expected to foster the widespread adoption of smart contract wallets (SCW).

DEX Architecture Transformation: Intent-based trading aims to enhance capital efficiency and user experience. CoW Hooks links complex operations, while UniswapX allows users to sign intent for off-chain matching and on-chain settlement. As more DEXs and aggregators shift towards intent-based architecture, the landscape of DEXs is undergoing significant changes.

Intelligent Interactive Entry: Similar to the transformation of Web3 front-end interfaces by TG Bot, the interactive entry focuses on understanding user intent and converting it into actionable tasks. In addition to trading bots, Web3 AI agents, intelligent search engines, and more are driving the intelligence of Web3 interactions.

04, Challenges and Prospects of Intelligent Interaction in Web3

The interaction experience of Web3 products in the past has indeed hindered mass adoption, and the wealth creation effect on the blockchain has obscured many product issues. Now, liquidity and user attention are scattered, and on-chain liquidity is scarce.

At the July ETHCC conference, developers extensively discussed the future of intent-centric approaches and how to help users interact with Dapps more intelligently. However, the implementation of intent-centric applications still faces many challenges.

• Lack of intent-related programming languages
• Lack of suitable intent architecture
• Lack of specific domain parsers
• Intended to achieve centralization and closure
• Lack of front-end intent recognition parser
• Lack of composable intent realization
• Intent Security Risk

Despite the challenges, the prospects remain hopeful. With the emergence of intent-centric protocols, the future of 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 hailing a ride with Uber. This is the real opportunity for Web3 Dapps to surpass Web2 in terms of user experience.

More importantly, combined with the intent-centric visions of Anoma, Flashbots SUAVE, and DappOS, on-chain interactions in Web3 will become more intelligent, customizable, and fair. Centering around intent will return the power of discourse to users; regular users can also empower third-party bots/parsers to execute customized transactions. In the future, users will no longer be passive participants or MEV victims, but rather the true helmspersons of on-chain activities.

Looking ahead to the future of intelligent interaction in Web3, whether it is 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.