Original Article Title: The 「AI」 Guide to Capturing Mindshare (for Projects)
Original Article Authors: @Defi0xJeff, Project Lead @steak_studio
Original Article Translation: Syncopate小 Deep

Editor's Note: In a highly competitive token market with limited attention, Web3 projects need to break through with a precise strategy. Allocate 2-5% of tokens for community incentives, replacing traditional KOL marketing; choose high-potential launchpads such as virtuals; develop a unique AI agent workflow to optimize user experience; and ensure market fit through clear documentation, rapid iteration, and community communication. Teams with strong execution have tremendous potential, and investors should focus on their actual actions rather than just narratives.

Below is the original content (slightly reorganized for better readability):

The Cost of Attention is Rising

· There are millions of tokens in the market, with thousands being added daily.

· On the @cookiedotfun platform, the number of AI agent tokens has surged from 200 to 1,700.

· On the @virtuals_io platform, the number of conscious agent tokens has increased from 100-200 to over 700 (with a total of over 15,000 agent tokens).

With each new token added, attention resources become scarcer, market liquidity is further dispersed, especially when the number of market participants remains the same (the same group of speculators repeatedly digging deep in a few areas).

More "dotfun" casinos are emerging, attracting the same set of key opinion leaders (KOLs), investors, and developer communities. This further diminishes the attention legitimate projects aiming to launch quality products in the Web3 space can receive.

From a project perspective, merely having a decent product is not enough to attract market attention, onboard users, and find product-market fit. Projects need to implement the right growth strategies, utilize optimal distribution channels, leverage the right communities, set appropriate narratives and stories, and launch products that address significant problems or provide sufficient value to attract substantial key metrics (TVL, trading volume, DAU, MAU, revenue).

In this article, I will share some high-quality growth strategies to help projects increase their chances of success when launching products and tokens. For investors, pay attention to projects that implement these strategies, as these projects often achieve positive price performance by executing these strategies.

The Talkative Ones Incentive

2025 proved to be a highly beneficial year for content creators, all thanks to @KaitoAI.

The team introduced an incentive layer that encourages the "talkative ones" to openly share high-quality content about the project on Platform X. Compared to the traditional tasks on Discord, completing testnets and on-chain tasks, providing liquidity, or engaging in wash trading on the platform, all you need to do is talk about the project. The "talkative ones" incentive layer has been widely adopted by projects and has even started to become the norm.

Instead of allocating a fixed budget for Key Opinion Leaders (KOLs), it is more beneficial to reserve 2-5% of the token supply and establish ongoing incentive activities to reward the "talkative ones." This benefits both KOLs and grassroots community members as you incentivize everyone to discuss your project.

(Today, thought leaders and top KOLs are more inclined towards the "talkative ones" incentive layer rather than private deals as it feels more natural, driven by passion, rather than feeling hired to post content.)

Choosing the Right Launchpad

Deciding whether to self-launch a token or utilize a launchpad could be a make-or-break decision for a project. AI-related projects have been the most marketable category in the past year, so tailoring your product to meet the "artificial intelligence" requirements and launching on the top-ranked AI launchpad, @virtuals_io, is a wise choice.

Currently, @virtuals_io stands as the leading AI launchpad with very low AI requirements that are almost negligible. Virtuals offers the optimal trading structure, ensuring maximum "pumpability" through its point system and Genesis launch configuration.

While there are other launchpads in the market, none offer as many distribution resources (market attention, holders, potential users) as Virtuals.

Challenges and Strategies in Using Virtuals as a Launchpad

· You must adhere to its standard tokenomics: 37.5% for public sale + 12.5% for liquidity. This means that the majority of the token supply belongs to the community—you cannot conduct extensive private sales and can only raise funds from $1 million to $2 million at a fully diluted valuation (FDV) of $5,000 to $10,000 to introduce strategic investors (overfunding may cause community dissatisfaction).

· You cannot raise funds from Venture Capital (VC) and cannot allocate a large percentage of tokens to the team. The team's main reward comes from revenue sharing (70% of the 1% transaction fee).

· Alternatively, if your project requires an investment ranging from $1 million to $5 million and a valuation between $15 million to $30 million to achieve scalability, you may consider issuing two types of tokens. One is the Artificial Intelligence Agent Token, used to build community, create hype, showcase product or platform capabilities; the other is the main token.

The challenge of maintaining momentum is that you need to plan ahead for product and partnership launches, content strategies, and communication strategies to ensure user and token holder engagement pre and post Token Generation Event (TGE). Ideally, your product should be ready at launch (or within a week of token issuance).

If you've made it this far, you might be wondering: How can you introduce artificial intelligence into a product, not just for hype but to add core value to the product?

Top Agent Workflow/AI Use Cases for Any Industry

If you choose the path of issuing two types of tokens, your Artificial Intelligence Agent Token should serve as the flagship agent, truly showcasing the capabilities of your platform or infrastructure, such as Ava 3D character from @HoloworldAI, Luna from @virtuals_io, BigTony from @Cod3xOrg.

These agents share a commonality in having unique personalities, styles, and abilities.

You can choose different levels of agent workflows and use cases (launching multiple simultaneously for maximum effect, or selecting a few that best suit your product):

· Use existing frameworks on X platform (such as @elizaOS,

@GAME_Virtuals, @arcdotfun) to create chatbots, input unique data sources to share insights.

· DeFAI Abstraction Layer—create an interface similar to ChatGPT (as a terminal or chatbot on an existing platform), changing the way users interact with the product, allowing users to ask questions directly on the chatbot or interact directly with the product.

· Expand the DeFAI abstraction interface to the X platform, allowing users to directly execute strategies, ask questions, or interact with your protocol on X, the epicenter of cryptocurrency attention (X = cryptocurrency's "town square").

· Expand it to other potential users' social media or workflows, such as Instagram, Facebook, LinkedIn, Telegram, Discord, Gmail, Rabby/Metamask, Coingecko, Zerion, etc., the possibilities are endless.

Directly integrate artificial intelligence into the product — the specific approach depends on your product type:

⇢ If it's a trading/prediction product, leverage a domain-specific machine learning model provider, such as Bittensor Subnet Intelligence (PTN, Sportstensor, Score) or @AlloraNetwork's inference infrastructure, using its intelligence to facilitate more optimal trades or bets, for example, @AskBillyBets (powered by @sportstensor), @thedkingdao (powered by @webuildscore), @Cod3xOrg (powered by Allora).

We have also seen non-custodial teams leveraging Allora's inference, such as @vectisfinance achieving over 24% USDC APY based on Allora's SOL price prediction.

⇢ If you are designing a workflow where an AI agent directly executes trades/bets/financial decisions, have the agent manage its own fund pool/treasury instead of client funds to reduce risk while showcasing the agent's ability to efficiently earn money for users through the product/intelligence.
You can use a portion of the received transaction fees to increase its fund pool. Once the agent accumulates a certain profit, allocate a portion of the profit to buy back tokens and burn them (for the narrative).

Everyone loves a public trading challenge, especially when executed by an agent.

⇢ If you have multiple yield products, utilize the agent to recommend the best product based on different parameters.

You can also enable interaction with third-party decentralized applications (dApps)/tools, but you need to set up session keys/smart accounts for limited permissions to avoid exposing user private keys. @gizatechxyz is an excellent example of this architecture.

TOP Unique Case Studies

DeFi

· @BasisOS, the current version has limited artificial intelligence applications, but promises three stages of AI involvement on its core product ➔ Upon successful launch, $BIOS surged due to the high "pumpability" potential of the Virtuals Genesis issuance structure and the value appreciation of the Basis trading product.

· @gizatechxyz, a fully autonomous and personalized financial agent, optimizes your stablecoin investments. The on-chain agent has generated over $3 million in TVL and $32 million in transaction volume, demonstrating significant appeal.
Prediction

· @askbillybets, a pioneering prediction agent that introduced betting using its own liquidity pool in the sports market, participates in betting leagues, outperforming many humans. Despite having a positive net ROI, this agent continues to optimize its edge, surpassing the market in multiple leagues.

These are just three impressive and highly unique cases that come to mind. Of course, there are many AI-driven Alpha/Analytics platforms and agents trading for you.

However, none currently stand out as particularly reliable or outstanding (I was looking forward to trying @Almanak__'s trading agent, but the team's progress has been slow; @Cod3xOrg also shows promise, but its UI/UX is still challenging for building effective agents).

There is a huge untapped opportunity here—I have yet to see the emergence of agents for DePIN, RWA, NFTs, options, perpetual contracts, or liquidity provision/yield farming.

Additional suggestion: Incorporate MCP into your roadmap, ensuring that other agents can access your tools/API through MCP, while also ensuring you have access to other high-quality tools that benefit your agents.

Integrate All Elements

Ensure clear and robust documentation that explains how the product works, how the token is tied to the product/how it accrues value, plan ahead for community growth initiatives and partnerships.

Maintain consistent communication with partners and the community, swiftly address shortcomings and outline the way forward, release rapidly, iterate quickly, and most importantly, listen to community feedback.

Summary

· Having a good product alone is not enough to stand out—a project must compete for limited attention.

· Use a portion of the token supply to incentivize "chattiness" to organically kickstart your community.

· Choose the right launchpad—@virtuals_io offers "shilling" potential and distribution capabilities.

· Build agent workflows to showcase platform capabilities and create a unique AI-powered agent.

· Integrate artificial intelligence in an additive manner (e.g., DeFAI abstraction layer, bringing the product to where the user is).

· Provide clear documentation, release and iterate quickly, make smart partnership choices, and listen to community feedback.

Significance for Investors

If you find a team that can execute at least 50% of the strategies mentioned in this article, you have found a dark horse with 100x potential.

If the team can execute 100%, then it is 1000x potential.

These strategies do not guarantee success, but in a market filled with noise (and tokens), they provide a real opportunity for a team to stand out. Talking about artificial intelligence and growth is easy, but building with a clear intent is much rarer.

Teams that do it well will not only succeed in their issuance—they will become leaders. These are the teams worth paying attention to.

For investors: Focus on a team's actual actions rather than just their rhetoric. A team's execution is what matters most.

Source: "Original Article Link"

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