AI Middleware

  • BlogDiagram showing an AI agent harness architecture with memory management, tool routing, schema validation, retries, and deterministic boundaries for production AI systems.

    What Is an AI Agent Harness? The Middleware for Production AI

    What Is an AI Agent Harness? The Middleware for Production AI Imagine building a prototype for a new AI assistant. You spend an afternoon writing a Python script that reads a spreadsheet, searches the web, and drafts a formatted weekly summary. You run it three times on your laptop. It works flawlessly. You show it to your team, everyone celebrates,…

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  • BlogFuturistic featured image explaining the Model Context Protocol (MCP) as the universal interoperability layer for AI agents, showing MCP architecture connecting tools like GitHub, Slack, databases, and enterprise systems.

    What Is MCP? The Universal Protocol Layer for AI Agents Explained

    What Is MCP? The Universal Protocol Layer for AI Agents Explained Last Updated: May 10, 2026 The Model Context Protocol (MCP) is rapidly becoming foundational agentic infrastructure, serving as the universal interoperability layer for AI agents in much the same way APIs standardized communication for cloud software. AI agents fail in production because the tools they need to use are…

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