Behind the Explosion of TG Bot: The Intent to Trade is Knocking on the Door of 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: Evolution of the Intent Concept, Interaction Paradigms, Current Status and Trends

( Guidance Intent: Challenges and Prospects of Intelligent Web3 Interaction

In June, Paradigm's official website published an article titled "Intent-Based Architecture and Its Risks," which introduced the concept of Intent) to the public for the first time. The related intent protocols and infrastructure are developing rapidly and became one of the hot topics in the crypto world at the ETHCC conference in July.

Intent is not a new concept. As Mindao, the founder of DForce, said: The crypto space has been relentlessly abstracting and automating operations, from aggregators, centralized exchanges, smart contract wallets to cross-chain DeFi, all of which are working on these tasks, along with Chainlink and the recent automated middleware, as well as Telegram bots.

However, the intention has indeed brought about new changes. In the past, the focus was on product interaction, while in the era of AGI, the focus is on human-machine interaction. AI/LLM( large language models) contain immense potential to enhance interactions in the encryption field.

01, Top-Down Anoma and Bottom-Up Unibot

In the past six months, agreements, projects, and infrastructures related to intention have been booming one after another. This text does not intend to explain concepts in a straightforward manner, but instead provides a glimpse into the situation through two typical cases.

Among the intention-related projects, 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 severe homogenization in Layer 1, the Anoma Foundation focuses on intent-centric( architecture, the Anoma) full-stack DApp architecture(, and the Namada) privacy Layer1(, which has raised a total of $57.8 million in three rounds, ranking 7th in Layer 1/Layer 2 financing amounts without tokens.

In a review of Anoma's public speech at EthCC, founder Adrian Brink stated that the magic of Anoma lies in: all interactions begin with intent, and the user's expressed intent is processed through the Black-box Architecture ) Anoma black box architecture, also known as Magic Happens (, to realize the core transaction process based on intent interactions:

• User Interaction: Users can send transparent, private, or protected intents to the Anoma black box architecture ) intent gossip Layer (.
• Intent Collection and Matching: The solver) parser of the Anoma black box architecture collects intents, performs balance state transitions, and facilitates the matching of counterparties.
• Transaction Processing: The matched transaction is submitted to the encrypted mempool, where validators send the blocks packaged by the proposers to the execution layer, complete the execution and verify its validity, and finally complete the state root update.

Behind this brand new form of interaction, the Anoma team has insightfully identified the pain points at the underlying layer of blockchain protocols. They reviewed that starting from the first generation of Bitcoin's scriptable settlement, the architectural limitations of the second generation of Ethereum's programmable settlement have led to the current application protocols having at least one Web2 component, which cannot achieve counterparty discovery and resolution. They believe that the intent-centric Anoma architecture is the third generation DApp architecture in the evolution of blockchain protocols, allowing users to define the desired outcome state, achieving efficient and customizable privacy transactions at the intent level, ushering in a new era.

Anoma, with high financing and a new technology architecture, is currently built by a team of 37 interdisciplinary members from Heliax. Over 2 years of development, although the Heliax development team has made slow progress, a complete innovation ecosystem has been formed.

• Anoma: A universal DApp architecture centered around intent, modularly deployable to L1, L1.5, and L2, capable of being embedded into various EVM frameworks through modular components.
• Namada: A privacy settlement Layer 1 of the Anoma ecosystem, using a PoS mechanism and designed for asset-agnostic inter-chain privacy, will be compatible with Ethereum and IBC chains in the future.
• AnomaVM: Simplifying DApp development on Anoma, using Juvix(, an intent-centric programming language), and VampIR(, a circuit programming language);
• Typhon: Improved Typhon consensus based on Cosmos's Tendermint;
• Taiga: provides a composable privacy unified execution environment. Taiga defines three types of intentions: transparent intention, shielded intention, and privacy intention.

Although many institutions such as CMCC Global, Electric Capital, and Delphi Digital are highly promoting Anoma and stating that the intent-centered architecture has limitless future potential, currently, the top-down Anoma has only laid a good technical foundation and we have not yet seen exciting practical applications. On the other hand, TG Bot has opened up the imaginative possibilities for the implementation of intent segmentation scenarios with its on-chain automated trading tools.

Unibot is a Telegram-based trading bot (TG Bot), allowing users to perform automated DEX trading via Telegram, and offers features such as sniper buying, copy trading, DEX limit orders, privacy, and MEV resistance. Unibot replaces the cumbersome interactions of Uniswap based on Intent, providing a convenient DeFi experience. Unibot has also spawned a batch of clone TG Bots, and the total market capitalization of the TG Bot sector is now close to $200 million.

Top-down Anoma is innovation, while bottom-up TG Bot is transformation; Top-down Anoma starts from an intent-based underlying architecture, but the team's progress is slow; Although TG Bot provides users with a brand new on-chain interaction interface, it is not intelligent and has many security risks.

The two paths leading to the same destination have a common goal---to simplify the user interaction experience and introduce a new programmable and customizable user interaction interface---User Intent Layer(, which allows users to bypass complex on-chain interactions and define transaction statuses based on user intent.

02. AI is the New UI: Command Interaction vs Intent Interaction

The two use cases above have given us a basic understanding of intent. Now it is time to explore the changes behind intent—AI's impact on the fundamental level of the crypto world, specifically the changes in user interfaces.

The AI paradigm is introducing a third user interface paradigm in the history of computing, 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 modes throughout history has led to entirely new business models. LLM-based generative AI has brought about transformative changes in human-computer interaction, directly converting the traditional interactions with various software UIs into interactions with the Chatgpt chat window, which is an unprecedented interaction experience. Furthermore, LLM+crypto introduces a new proposition of intent-based interaction to the crypto world, and LLM has the potential to make blockchain interactions smarter by discovering and describing user intentions.

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

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

After gaining a deep understanding of the AI intelligence trend behind intentions, we further explore the evolution of the concept of intention. Intention 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 intentions, and the search engine provides relevant search results to satisfy those intentions.

With the rise of e-commerce platforms like Amazon and eBay, there has been a significant shift in intent-based architecture, allowing users to express their intent to purchase products while the platform takes care of logistics. In early 2017, Gartner released the report "Innovation Insight: Intent-Based Networking Systems" which formally introduced the concept of Intent-based Networking ). The key to intent-based networking ( is to present users with an interface where they only need to express what they want, while the platform handles the business details.

Intent-based networking is the development trend of network automation and intelligence in the Web2 era. Gartner's Vice President of Research, Andrew Lerner, pointed out in 2017 that intent-based networking will be the next milestone in the field of networking.

The evolution from Web2 to Web3 has led to the concept of intent in Web3 being somewhat unclear, but there are some common understandings:

• The definition provided by Paradigm: Intents are a set of declarative constraints that allow users to delegate the creation of transactions to a specialized network of third-party participants while retaining full control over the process.
• The definition provided by Anoma for the intention-based underlying DApp architecture: intention is the message sent by the user to express custom preferences, and intention is a constraint that defines what the user allows the system to do, rather than a specific execution path.
• Definition of intent-based trading infrastructure provided by Propellerheads: Intent is the part of the transaction that requires assistance from others, and it simplifies 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, which are then outsourced to the Solver) parser(. This encapsulates the complexity of blockchain interactions for the parser while retaining full on-chain control over the process for the user, thus lowering the barriers for on-chain interactions.

Intent also brings the LLM architecture concept---intent centric---which is a user intent-centered 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 user intentions to be directly converted into smart contract calls. Users only need to express their intentions like using Apple's Siri, while robots/AI agents/third-party parsers help complete complex on-chain operations. In the future, intent-based Web3 interaction will be intelligent, greatly reducing the complexity of user on-chain interactions.

![Behind the explosive 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-526e428a7d32b94b72e7975187aee8b4.webp(

AI is the new UI, and more and more Web3 projects are exploring the magic of intent. Whether it's intent-based DApps or intent-based underlying architectures, they are releasing the potential of intent from different angles. We attempt to organize this rapidly developing field and categorize it into four major categories from an interaction perspective, while tracking the latest status and trends:

Infrastructure: ) intent-centric intent architecture layer (

• DappOS: The first intent-centric Web3 operating protocol that builds an intermediary layer between users and crypto infrastructures such as public chains and cross-chain bridges, allowing Web3 users to interact with products seamlessly and without perception. Recently, DappOS released version V2.
• Flash 2.0 SUAVE: SUAVE is a standalone, plug-and-play modular MEV full-chain ordering layer. Preferences) The core concept of SUAVE( is similar to the Intent concept, providing a way for ordinary users to customize their trades, ultimately helping users achieve the best execution. Flashbots plans to launch SUAVE Centauri in Q4 2023.
• Anoma: A universal DApp architecture centered around intent, which can be modularly deployed to L1, L1.5, and L2, and can be embedded into various EVM frameworks through modular components. The latest update in the Anoma ecosystem is that the Anoma privacy settlement Layer 1 --- Namada will soon launch the v0.22.0 testnet.
• Cow Protocol: CoW Protocol builds a foundational settlement network for traders and resolvers, and in July released the new Cow Hooks intent system to enable custom DeFi operations. CoW Protocol's latest data in August processed a total trading volume of 1.05 billion and generated a profit of 5.3 million.

Supporting facilities: ) related to intent, and supporting infrastructure related to account abstraction wallets (

• ERC 4337: The User Operation of ERC 4337 represents the user's intent, including the tokens for paying gas, payment options, and login methods, replacing the current transaction memory pool to achieve account abstraction and improve wallet interaction experience.
• Supporting infrastructure related to account abstraction: Packaging infrastructure ) StackUp, Blocknative, Alchemy Rundler, AA-Bundler, infinitism Bundler (, wallet SDK ) Safe, ZeroDev, Biconomy (;
• Supporting facilities related to intent: Juvix) intent-based programming language (, Seaport) open-source NFT trading protocol (, Gelato) smart contracts providing automation services for Web3 auto-execution.