Forget plug-and-play AI. We’re entering the era of agent-native systems and this is the new stack. 👇 Let’s break it down: 🔹 The Agent-Native Stack (MCP Edition) 1️⃣ Interfaces → Where agents live → Claude, LibreChat, Cursor, Windsurf → Not just chat — structured workflows, tool use, memory 2️⃣ MCP Servers → Where agents work → Databases (Supabase, Clickhouse) → Email (Resend), Docs (Notion), Tickets (Linear), Payments (Stripe) → All agent-accessible. All programmable. 3️⃣ Execution Environments → Where stuff gets done → Browserbase, ScrapNARA, E2B → Agents browse, click, extract, interact — securely and at scale 4️⃣ Coordination & Monitoring → What makes it reliable → AgentDesk, Braintrust, Grafana → Track flows, manage fallbacks, handle complexity 5️⃣ Marketplace Layer → Plug-ins + deployment infra → Mintlify, Glama, MCP.so, Smithery → Launch-ready agents + serverless hosting 🧠 If you're building ops-ready automation: → Don't stop at “can it call an API?” → Ask: Can it run workflows, recover, monitor, adapt? This isn’t just “tools with AI.” It’s AI that runs your tools. End-to-end. Autonomous. Coordinated. 📌 Save this stack. 📥 DM if you're exploring agent infra, orchestration, or automation beyond the prototype stage. Follow Dennis for weekly drops on building smart systems that scale.
📌 Everyone else stayed home. I booked a one-way flight. March 2020. The world hit pause. Lockdowns, fear, uncertainty. Most people waited for things to “go back to normal.” Me? I grabbed my backpack and walked into the unknown. → No job lined up → No long-term plan → No clue where it would lead Just one decision: Start over. On my own terms. That one flight? It gave me the space I never had: To think. To create. To build. Here’s what happened next: → Built 7 companies → Passed 1M+ in revenue → Stepped out of day-to-day ops entirely Not bad for a “reckless” decision. Sometimes you don’t need permission. You don’t need a plan. You just need to leap and trust the process. ✈️ Would you have taken that flight? Drop a yes or no in the comments.
📌 I just hit 4,000 followers this week 🥳 And I was told this industry was too crowded. "Too many creators. You won’t stand out." “There are people with 300k+ followers. ''What could you possibly add?'' I know. But I’m going to show up anyway. No viral hack. No ads. Just me, showing up, even when I’m exhausted. I wake up at 8am, even though my baby boy, Makes sure I never wake up rested. I engage. I create. I write. Even when I don’t feel “ready” Every night before bed, I jot down ideas: ↳ What can I teach tomorrow? ↳ What story might help someone else? ↳ What kind of value does LinkedIn need more of? That’s how I grew. Not by chasing virality, but by staying consistent. Here’s what worked for me: 1. Listen to your audience. ↳ Speak to their pain like a friend would. 2. Engage like you mean it. ↳ Comments are where trust is built. 3. Test different formats. ↳ Some ideas work better as carousels, others as raw stories. 4. Write at least 3x a week. ↳ Make it a habit, not a chore. This platform rewards those who care. Who keep going. Who share even when they feel small. I’m not the loudest. I’m not the biggest. But I’m still here. And still growing.
AI is becoming part of integrated ecosystem!!!
Strong breakdown! The shift from "AI as a feature" to "AI that runs your tools" is so important. The MCP layer is what makes this actually production-ready
Coordination and monitoring are the unsung heroes here without them, agent systems just don’t scale.
Love this breakdown, really highlights how agent-native systems are redefining automation beyond basic API calls. How do you see monitoring tools evolving to handle increasing complexity at scale?
Love this breakdown! 🤖 Agent-native systems are the future. What do you think will be the most exciting use case for this new stack in the next 6 months?
Love how MCP Servers turn every app into an agent-ready resource that’s the real power move.
The hard part isn’t the tech, it’s getting all these pieces to actually work together in production. Dennis Osterloh
Co-Founder & CEO @ Connect AI | 🤖AI Agents, Automation, Consulting 🤖
2mo📌 This week in AI Agents ⚙️ AWS dropped bombs. Healthcare got real-world results. HASHIRU introduced agents that hire and fire other agents. Here’s what happened and why it matters: (save this for later) 1/ Amazon Bedrock AgentCore is now live. Full modular stack → Runtime, Memory, Identity, Browser Tool, Observability. Build and deploy AI agents in minutes — not weeks. → https://lnkd.in/g3EUt5Cw 2/ AgentCore Browser Tool changes the game. Let agents navigate JavaScript-heavy sites with zero hacks. No more brittle browser farms. → https://lnkd.in/gdg8iJiy 3/ AgentOps is officially a thing. Observability frameworks now let you trace agent decisions, fallbacks, and flows. Welcome to production-grade AgentOps. → https://lnkd.in/gZfzm6g2 4/ HASHIRU launched hybrid hierarchical agents. A CEO-agent that hires/fires worker agents. LLaMA-3 + API orchestration = smarter, cheaper systems. → https://lnkd.in/ggzrAAdj 5/ MIT dropped the first public Agent Index. Live examples, safety standards, architectures. This is what adoption actually looks like. → https://lnkd.in/gKZDcQxm