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Imagine someone walked up to you during one of these moments in time: 1994: "Hey, there's this thing called the World Wide Web…we should learn how to build our own websites. Seems like this is a really important technology" 2006: Amazon just launched AWS. It lets you rent server space instead of buying it. Suddenly, two people in a garage can launch a global product without raising millions. 2008: "Apple just launched this thing called the App Store. That's pretty cool. We should create an app for it!" I guess the question to ask is after one of these major technology shifts, what happened in the years after that made them so impactful? 1994 → The Internet Boom Amazon was founded in 1994. It took 5 years to go public and another 10 years to become a household name. Google launched in 1998. By the mid-2000s, it had become the default gateway to the web. Outcome? Trillions of dollars in value created, a complete reinvention of commerce, communication, and information. 2006 → The Cloud Shift Amazon launched AWS, quietly introducing cloud-based storage and compute services. Before this, launching a product meant buying servers, managing infrastructure, and spending thousands before a single user signed up. Early adopters like Dropbox (2007) and Instagram (2010) scaled from side projects to global platforms in record time without building their own data centers. Startups no longer needed to raise millions to get started. They needed a laptop and an AWS account. Outcome? A global shift in how software is built and scaled. The cloud democratized infrastructure, giving every builder a platform, and every product the potential to go global from day one. 2008 → The App Economy The App Store launched with just 500 apps. Within 2 years, it had over 150,000 apps. Entire industries emerged like the gig-economy with Uber (launched in 2009, UberX-2012), Airbnb (2012) and Instacart (2012) scaled into billion-dollar giants. Outcome? New industries emerged, smartphones became essential, and apps became the interface of everyday life. Fast Forward to Present… 2025: The AI Boom 2023 -> OpenAI launched the API and plugins, enabling developers to embed human-like intelligence into everyday tools. Startups like Perplexity, Cursor, Loveable emerged overnight, redefining search, creativity, and productivity. Amazing features like AI Writing on Superhuman, AI DJ X on Spotify or conversational tools like Grok have been amazing to watch! 2025 -> Model Context Protocol Outcome? A new computing platform is born: natural language as the interface, intelligence as the backend. Everything from work to travel to commerce is being rebuilt on top of it. To Preface From Here: I've been a developer for a month. I know nothing. Continue… I started messing around with ChatGPT's API last Monday. Within two days, I had it generating responses for outdoor activities. It wasn't great, basically a worse version of ChatGPT with a better prompt. Two days later, I wired up LangChain and built a custom integration that could query guide data from my own database. Suddenly, I could match people with real guides based on real information. Woah. Then yesterday, my buddy Jack casually mentioned something called Model Context Protocol. I looked it up. I've been hooked ever since. Let me explain Model Context Protocol (MCP). To use a metaphor: if the ChatGPT API were custom-built keys for specific doors, MCP is the master key ring. One interface. Many locks. Total unlock. There is a reason why ChatGPT is now using MCP as the backbone for it's new Operator…because it's the future: https://opentools.ai/news/openai-joins-forces-with-anthropic-adopts-groundbreaking-model-context-protocol. Enter: Model Context Protocol (MCP) If you've ever watched a genius sit in front of a machine they don't know how to use, you'll understand the problem AI was facing. The brains were there. The capability to reason, respond, and even plan was real. But AI had no way to reliably plug into the messy and permissioned world of software tools. So someone built the adapter. One standard plug, infinite possibilities. Before MCP, connecting an AI agent to something like Google Drive or a database meant writing custom code for each one: auth flows, data formats, function wrappers, error handling. Over and over again. Every new integration was a little Frankenstein. Fragile. Inefficient. Inconsistent. MCP changed that. Instead of inventing a new interface for every tool, MCP gives AI apps a single, consistent way to ask for help. It works through a simple client-server handshake. The AI is the client. Each external tool (Google Drive, a CRM, your company's database) is a server. And they all speak the same language: structured JSON. We're Just Getting Started I genuinely believe 2025 is the year of agents. With MCP, agents don't just talk, they do. They can retrieve real-time data, perform tasks, trigger actions, and keep track of what's going on. It's not just one-shot API calls, it's two-way context. We're in the beginning of something big. Bigger than mobile. More impactful than the cloud. And more wide open than the early web. This isn't a contrarian bet, it's just the reality of what's unfolding. And I'm clawing at the opportunity to be involved in any way I can. One Last Story - The Tools Are Here, And They're Being Used While in California recently at a coffee shop, I met a doctor who was building a tool for his patients to interact with their health data. I noticed Claude open on his laptop while he was working and said, "Ah, you're a Claude guy, huh?" He smiled and walked me through what he was building: his own interface, tailored to his clients. No dev team. No roadmap. Just curiosity, conviction, and access to the right tools. That moment gave me hope. Because this shift isn't just for developers. It's for anyone willing to build, experiment, and learn fast.