這篇文章是Faiā董事總經理喬治·西奧西爾斯（George Siosi Samuels）的客人貢獻。看看Faiā如何致力於保持技術進步的最前沿

這篇文章是Faiā董事總經理喬治·西奧西爾斯（George Siosi Samuels）的客人貢獻。看看Faiā如何致力於保持技術進步的最前沿

This post is a guest contribution by George Siosi Samuels, managing director at Faiā. See how Faiā is committed to staying at the forefront of technological advancements here.

這篇文章是Faiā董事總經理喬治·西奧西爾斯（George Siosi Samuels）的客人貢獻。看看Faiā如何致力於在這裡保持技術進步的最前沿。

As an enterprise professional, you’ve likely felt the artificial intelligence (AI) tidal wave—tools like ChatGPT, Claude, and custom assistants are reshaping how we work. But with great power comes great opacity. How do we ensure these systems handle our data responsibly, especially as they scale across teams, industries, and borders? I’ve been tinkering with a solution that blends Model Context Protocols (MCPs), blockchain, and AI into a personal assistant that triages my digital life.

作為一名企業專業人士，您可能會感受到人工智能（AI）潮汐 - 諸如Chatgpt，Claude和Custom Advesters之類的工具正在重塑我們的工作方式。但是，強大的力量變得非常不透明。我們如何確保這些系統負責任地處理我們的數據，尤其是當它們跨團隊，行業和邊界擴展時？我一直在修補一個解決方案，該解決方案將模型上下文協議（MCP），區塊鍊和AI融為一體，使我的數字生活分類。

What started as a tech experiment revealed something bigger: a cultural signal that we’re nearing a tipping point where blockchain might be the key to managing AI data flows globally. Here’s why this matters for the future of work—and your enterprise.

最初是一項技術實驗揭示了一些更大的東西：我們即將接近一個臨界點的文化信號，其中區塊鏈可能是管理AI數據在全球範圍內流動的關鍵。這就是為什麼這對工作的未來和您的企業都很重要的原因。

MCPs: The AI middleware you didn’t know you needed

MCP：您不知道需要的AI中間件

Imagine, for a minute, AI assistants that don’t just chat but integrate with your apps—email, calendar, task manager—without you configuring each one manually. That’s where MCPs come in. Developed by Anthropic, MCP is an open-source protocol that lets AI agents (like Claude) talk to external tools via a standardized “context server.” I built a prototype: an MCP server that pulls data from my apps, uses AI to decide what’s urgent, and routes it via n8n workflows—all visually tweakable, no code required. It’s a virtual assistant that triages without the silos.

想像一下，一分鐘，不僅會聊天，而且可以與您的應用程序集成在一起（email，日曆，任務管理器），而無需手動配置每個助手。這就是MCP的來源。由擬人化開發，MCP是一種開源協議，可以使AI代理（如Claude）通過標準化的“上下文服務器”與外部工具進行交談。我構建了一個原型：一個MCP服務器，該服務器從我的應用程序中提取數據，使用AI來確定什麼是緊迫的，並通過N8N Workflows將其路由 - 所有這些都可以在視覺上進行調整，無需代碼。這是一個虛擬助手，沒有孤島。

For enterprises, this is an area to keep an eye on. Think of MCPs as middleware that unifies your SaaS stack—CRM, ERP, Slack—into a single AI-driven middle manager (that’s useful). No more per-tool integrations; one server, one brain. But here’s the thing: as data flows through this hub, who’s watching? How do we prove it’s secure, fair, and auditable? That’s where (scalable) blockchain enters the chat.

對於企業來說，這是一個關注的領域。將MCP視為統一您的SaaS堆棧（CRM，ERP，Slack）的中間件，這是一位AI-A-Driend的中間管理器（這很有用）。沒有更多的每工具集成；一台服務器，一個大腦。但是，這就是事實：隨著數據流過此樞紐，誰在看？我們如何證明它是安全，公平和可審計的？那就是（可擴展）區塊鏈進入聊天的地方。

Blockchain: The third entry for AI’s micro-transactions

區塊鏈：AI微交易的第三條條目

My own MCP experiments got me thinking about data management. With sensitive info bouncing between apps, I wanted a tamper-proof log. So I added a twist: every time my server processes an event (say, an email arriving), it hashes the action and commits it two ways—once to a GitHub repo for readability and once on-chain for permanence. The blockchain timestamp is a cryptographically secure anchor GitHub can’t match. If I need to prove “this task was assigned at 10:03:00Z,” the chain’s got my back.

我自己的MCP實驗使我考慮了數據管理。隨著應用之間的敏感信息彈跳，我想要一個防篡改日誌。因此，我添加了一個扭曲：每次我的服務器處理事件（例如，電子郵件到達）時，它都會掩蓋動作並提交兩種方式 - 一旦到達GitHub儲備庫以獲得可讀性，並且一次鏈接以實現永久性。區塊鏈時間戳是一個密碼固定的錨定github無法匹配的密碼。如果我需要證明“此任務是在10：03：00z分配的”，那鍊子就回來了。

This echoes the idea of triple-entry accounting—debit, credit, and a shared ledger—but for AI’s microtransactions. Instead of dollars, we’re tracking nano-scale decisions: “Email tagged urgent,” “Meeting added to calendar.” For enterprises, this is where things get interesting. Imagine your supply chain AI logging every decision on-chain—vendor selected, shipment rerouted—verifiable by auditors, regulators, or partners in real-time. It’s trust at scale.

這回應了三重進入會計的想法 - 統計，信用和共享的分類帳 - 但對AI的微交易的想法。我們正在跟踪納米級的決定，而不是美元，而不是美元：“緊急電子郵件標記”，“添加到日曆中的會議”。對於企業而言，這是事情變得有趣的地方。想像一下，您的供應鏈AI記錄了所有鍊子上的每一個決定（供應商選擇的供應商，重新佈置），可由審計師，監管機構或合作夥伴實時驗證。這是大規模的信任。

Cultural Signals: A world primed for this

文化信號：為此準備的世界

This is all a response to where we’re heading culturally. Globally, trust in centralized systems is crumbling. X (Twitter) buzz in 2025 shows folks discussing AI bias and data misuse, with tags like #ResponsibleAI emerging as a response to this demand. From GDPR in Europe to privacy debates in the U.S., we’re obsessed with controlling our data. AI thrives on it, but its flows are a black box. Enterprises feel this, too—clients want proof your AI didn’t screw them over.

這都是對我們在文化上前進的回應。在全球範圍內，對集中系統的信任正在崩潰。 X（Twitter）在2025年的嗡嗡聲向人們展示了討論AI偏差和數據濫用的人們，#ResponSibleAi之類的標籤是對這一需求的響應。從歐洲的GDPR到美國的隱私辯論，我們都沉迷於控制數據。人工智能在它上壯成長，但其流是黑匣子。企業也感到這種情況也感到 - 要證明您的AI沒有將它們擰緊。

We’re also in a micro-everything era. Micropayments, micro-content, micro-decisions—AI’s churning out trillions of these daily. Traditional databases choke, but blockchain’s built for it. My MCP experiments log nano-actions like “email triaged at 10:03:01Z”—scale that to a global workforce, and you’ve got a ledger problem only something like blockchain can solve. Culturally, we’re shifting from “trust me” to “prove it,” and blockchain’s ‘trustless’ ethos fits like a glove.

我們也處於微型時代。微付款，微容器，微裁決 - 每天都在耗盡這些數万億美元。傳統的數據庫扼流圈，但區塊鍊為此而構建。我的MCP實驗記錄了納米動作，例如“電子郵件在10：03：01Z” - 對全球勞動力的規模，並且您只有類似區塊鏈可以解決的分類帳問題。從文化上講，我們正在從“信任我”轉變為“證明它”，區塊鏈的“無信任”精神像手套一樣適合。

Look at the signals: X threads tie blockchain to AI ethics weekly; pilots in healthcare and finance log AI decisions on-chain; even pop culture’s hyping decentralized tech as humanity’s AI leash. We don’t need this yet—laws and audits limp along—but the want’s there. By 2030, as AI outpaces oversight, it might be less optional and more inevitable.

查看信號：X線程區塊鏈每週將區塊鏈與AI倫理學聯繫在一起；醫療保健和金融log log AI鍊鍊的飛行員；甚至流行文化的宣傳分散技術作為人類的AI皮帶。我們還不需要這個 - 勞斯和審計lim依，但是想要的地方。到2030年，隨著AI的監督，它可能是可選的，不可避免的。

What this means for enterprises

這對企業意味著什麼

For CoinGeek readers, this is your cue. MCPs can streamline your AI-driven workflows today

對於Coingeek讀者來說，這是您的提示。 MCP今天可以簡化您的AI驅動工作流程