Agents are no longer a concept or a theory—they’ve become infrastructure. And in just the last 60 days, the game has fundamentally changed:

• Zapier launched Model Context Protocol (MCP)

• OpenAI gave ChatGPT browser and file access

• NVIDIA released Nemotron, an LLM tuned for task execution

These aren’t just new features. They’re signs we’ve entered Agentic AI 2.0—a world where software doesn’t just respond to input, it takes action.

And for early-stage founders, this shift presents a rare, time-sensitive window of opportunity.

⚙️ What’s Changed?

Zapier’s Model Context Protocol (MCP)

• Allows agents to connect to 8,000+ apps without building custom APIs

• Browser automation built-in

• Backed by Microsoft, indicating serious enterprise momentum

OpenAI’s New Autonomy Features

• ChatGPT can now operate your browser and desktop like a junior operations assistant

• Think Robotic Desktop Automation—but smarter, contextual, and more adaptable

NVIDIA’s Agent-Optimized LLM: Nemotron

• Purpose-built for executing workflows—not just holding conversations

• A clear signal that major players are betting on autonomy at the infrastructure level
  
  

🛠 What This Means for Founders

Agentic AI is turning the traditional software model on its head. Here’s what that unlocks:

• Forget UI-first thinking — Build automated workflows, not dashboards

• Agents-as-SaaS — A new interaction layer between users and legacy software

• Plug-and-play interoperability — With MCP, agents can integrate with existing systems in hours, not weeks

The biggest opportunity?
AI-native tools that quietly handle repetitive work in the background—without ever needing a visible interface.

💡 Where the Greenfield Opportunities Are

We’re seeing a surge in demand (and white space) in areas like:

• Agent-native SaaS for niche industries

• Invisible automation layers powering internal ops

• Agent governance: trust scoring, audit trails, approval logic

If you can replace a human-in-the-loop task—especially in trust-sensitive areas like invoicing, QA, or triage—you’re still early to the market. But you won’t be alone for long.

📞 Want to Build in This Wave?

We’re currently partnering with a handful of early-stage founders to help them design agent-native MVPs.

If you want to:

• Stress test your AI idea

• Get feedback on your use case

• Map out your MVP + tech stack

Book a strategy call with our team

You’ll leave with:

• A clarified use case

• MVP scope and milestones

• A recommended stack and agent orchestration plan

Let’s build.