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Web3 Whitepaper Generation and TG Community Q&A Managed Service, Monthly Subscription of 40k

Workflow: Daily aggregation of raw inputs submitted by token issuers, such as project background, technical roadmaps, and fundrais

AGENT

Key Fields

FIELD STAMPS

IndustryMarketing / Advertising

RegionGlobal

ScaleSME

ChannelOnline

🔧 Workflow

Daily aggregation of raw inputs submitted by token issuers, such as project background, technical roadmaps, and fundraising plans. The AI automatically generates the whitepaper first draft, tokenomics model, and TG Q&A knowledge base framework. Human operators perform professional verification and compliance adjustments before finalizing and delivering the content, while simultaneously updating the Telegram bot backend. During daily operations, the bot automatically captures community questions, matches them with the knowledge base, and outputs replies. Uncovered complex questions are automatically flagged and transferred to humans. After human review, the knowledge base is updated for iteration. The final output includes a complete whitepaper, token model, and a ready-to-run TG Q&A bot as a comprehensive deliverable.

🛠 Setup Requirements

Requires basic Web3 industry awareness, understanding of basic tokenomics logic, and token issuance compliance boundaries. Proficiency in using automation tools like n8n and Claude to connect large language models with the Telegram Bot API, along with foundational prompt engineering skills. Prepare compliance disclaimer templates and standard whitepaper structure frameworks in advance. Building the first service system from scratch is expected to take 10-15 days. Later, through template reuse, the single-project delivery cycle can be shortened to under 2 days, running without complex programming backgrounds.

🧰 Toolchain

🔧 Claude 3.5 Sonnet
🔧 n8n
🔧 Telegram Bot API
🔧 Notion
🔧 CoinGecko API

💰 Revenue

① Basic monthly subscription for whitepaper plus TG Q&A bot (main revenue): Token issuing projects pay a monthly fee of 10,000 RMB/project/month × serving 4-6 projects simultaneously = 40,000 to 60,000 RMB/month, aligning with the card's monthly average of 40,000-60,000 RMB, accounting for about 100% of monthly revenue (calculated based on card data, self-reported by the case, with no independent verification seen); ② Value-added service add-ons: In-depth tokenomics customization and community engagement operations added monthly at 15,000 to 20,000 RMB/project/month × up to 6 projects = 90,000 to 120,000 RMB/month (calculated based on upper limits; the exact proportion of clients upgrading to this tier is unclear, also converted based on card numbers), proportion of total revenue not provided; ③ Community Q&A billed by question volume: Projects settled based on question volume or community activity. Pricing per instance and total volume settled are not recorded, proportion not listed; ④ Opportunity item - One-time bundled fee before token launch: The card states that related service order volume in 2026 is expected to grow by 120% year-on-year. Unit prices are not public, and neither the revenue collected nor the market share is specified.

💸 Cost

Fixed monthly cost is approximately 1,500 RMB, including Claude API and large model invocation costs of about 1,000 RMB, Telegram Bot server and Notion tool subscription costs of about 500 RMB, with no other hidden costs.

⏱ Time Investment

Daily time investment is 2-3 hours, including 1-1.5 hours for whitepaper review and compliance checking, and 1-1.5 hours for Q&A bot knowledge base iteration and community question review. Weekends can be used to centrally handle new project demand matching and knowledge base updates.

🚀 Getting Started

Step 1: Observe new token project dynamics in Web3 vertical communities like X, Discord, and Telegram, and compile a potential client list. Step 2: Create a service presentation page containing whitepaper cases and a TG bot demo, offering potential clients a limited-time discount for a 10,000 RMB monthly trial. After delivering the first project, package the case into promotional materials, and subsequently acquire clients continuously through client referrals and community content output.

🔑 Keys to Success

✅ Whitepaper professionalism and industry compliance control capabilities
✅ TG bot script design and real-time knowledge base update mechanism
✅ Differentiated adaptation capabilities for token issuance rules across various public chains (e.g., Solana, Ethereum)
✅ Prompt engineering optimization capabilities for whitepaper professional terminology accuracy

⚠️ 风险

⚠️ Token compliance risks: All delivered content must include clear disclaimers to avoid violating securities regulations in the jurisdiction; if a project involves illegal fundraising, joint liability may apply
⚠️ AI-generated content may contain factual discrepancies or economic model logic flaws, requiring manual end-to-end verification to avoid triggering rights protection claims from token holders
⚠️ If negative events such as rug pulls occur after the project issues tokens, there may be joint accountability from community users, requiring clear boundaries of rights and responsibilities in the service agreement

📌 Real Cases

📌 A Chinese-speaking Solana ecosystem Meme coin project adopted the service, resolving over 3,000 questions in the community within two months. The project successfully secured two rounds of early investment and subsequently renewed for 18 months.
📌 After a Southeast Asian GameFi project used the service, the whitepaper delivery cycle was shortened from 20 days to 4 days, saving 80% in R&D costs and proactively increasing the monthly fee from 10,000 RMB to 18,000 RMB.
📌 According to Web3 outsourcing platform Freelancer Q1 2026 data, order volume for whitepaper writing services increased by 120% year-on-year, and orders bundled with community Q&A commanded an average premium of 55%, with 70% of clients being repeat paying customers.

Sources