这篇文章是Faiā董事总经理乔治·西奥西尔斯（George Siosi Samuels）的客人贡献。看看Faiā如何致力于保持技术进步的最前沿

这篇文章是Faiā董事总经理乔治·西奥西尔斯（George Siosi Samuels）的客人贡献。看看Faiā如何致力于保持技术进步的最前沿

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.

这篇文章是Faiā董事总经理乔治·西奥西尔斯（George Siosi Samuels）的客人贡献。看看Faiā如何致力于在这里保持技术进步的最前沿。

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.

作为一名企业专业人士，您可能会感受到人工智能（AI）潮汐 - 诸如Chatgpt，Claude和Custom Advesters之类的工具正在重塑我们的工作方式。但是，强大的力量变得非常不透明。我们如何确保这些系统负责任地处理我们的数据，尤其是当它们跨团队，行业和边界扩展时？我一直在修补一个解决方案，该解决方案将模型上下文协议（MCP），区块链和AI融为一体，使我的数字生活分类。

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.

最初是一项技术实验揭示了一些更大的东西：我们即将接近一个临界点的文化信号，其中区块链可能是管理AI数据在全球范围内流动的关键。这就是为什么这对工作的未来和您的企业都很重要的原因。

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

MCP：您不知道需要的AI中间件

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.

想象一下，一分钟，不仅会聊天，而且可以与您的应用程序集成在一起（email，日历，任务管理器），而无需手动配置每个助手。这就是MCP的来源。由拟人化开发，MCP是一种开源协议，可以使AI代理（如Claude）通过标准化的“上下文服务器”与外部工具进行交谈。我构建了一个原型：一个MCP服务器，该服务器从我的应用程序中提取数据，使用AI来确定什么是紧迫的，并通过N8N Workflows将其路由 - 所有这些都可以在视觉上进行调整，无需代码。这是一个虚拟助手，没有孤岛。

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.

对于企业来说，这是一个关注的领域。将MCP视为统一您的SaaS堆栈（CRM，ERP，Slack）的中间件，这是一位AI-A-Driend的中间管理器（这很有用）。没有更多的每工具集成；一台服务器，一个大脑。但是，这就是事实：随着数据流过此枢纽，谁在看？我们如何证明它是安全，公平和可审计的？那就是（可扩展）区块链进入聊天的地方。

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

区块链：AI微交易的第三条条目

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实验使我考虑了数据管理。随着应用之间的敏感信息弹跳，我想要一个防篡改日志。因此，我添加了一个扭曲：每次我的服务器处理事件（例如，电子邮件到达）时，它都会掩盖动作并提交两种方式 - 一旦到达GitHub储备库以获得可读性，并且一次链接以实现永久性。区块链时间戳是一个密码固定的锚定github无法匹配的密码。如果我需要证明“此任务是在10：03：00z分配的”，那链子就回来了。

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.

这回应了三重进入会计的想法 - 统计，信用和共享的分类帐 - 但对AI的微交易的想法。我们正在跟踪纳米级的决定，而不是美元，而不是美元：“紧急电子邮件标记”，“添加到日历中的会议”。对于企业而言，这是事情变得有趣的地方。想象一下，您的供应链AI记录了所有链子上的每一个决定（供应商选择的供应商，重新布置），可由审计师，监管机构或合作伙伴实时验证。这是大规模的信任。

Cultural Signals: A world primed for this

文化信号：为此准备的世界

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.

这都是对我们在文化上前进的回应。在全球范围内，对集中系统的信任正在崩溃。 X（Twitter）在2025年的嗡嗡声向人们展示了讨论AI偏差和数据滥用的人们，#ResponSibleAi之类的标签是对这一需求的响应。从欧洲的GDPR到美国的隐私辩论，我们都沉迷于控制数据。人工智能在它上壮成长，但其流是黑匣子。企业也感到这种情况也感到 - 要证明您的AI没有将它们拧紧。

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.

我们也处于微型时代。微付款，微容器，微裁决 - 每天都在耗尽这些数万亿美元。传统的数据库扼流圈，但区块链为此而构建。我的MCP实验记录了纳米动作，例如“电子邮件在10：03：01Z” - 对全球劳动力的规模，并且您只有类似区块链可以解决的分类帐问题。从文化上讲，我们正在从“信任我”转变为“证明它”，区块链的“无信任”精神像手套一样适合。

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.

查看信号：X线程区块链每周将区块链与AI伦理学联系在一起；医疗保健和金融log log AI链链的飞行员；甚至流行文化的宣传分散技术作为人类的AI皮带。我们还不需要这个 - 劳斯和审计lim依，但是想要的地方。到2030年，随着AI的监督，它可能是可选的，不可避免的。

What this means for enterprises

这对企业意味着什么

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

对于Coingeek读者来说，这是您的提示。 MCP今天可以简化您的AI驱动工作流程