AI Research & Engineering · Multi-Agent Coordination

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Why MCP Needs Coordination Semantics

December 18, 2025
Model Context Protocol (MCP) is becoming the standard for connecting AI agents to tools and resources. It's elegant, well-designed, and solves a real problem: how do agents discover and use external capabilities? But there's something missing. MCP tells agents what tools exist. It doesn't tell them …
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The 97% Problem: Why Agents Can't Scale

December 17, 2025
Here's a striking statistic from IDC: 85% of organizations have AI agents in at least one workflow. 97% cannot scale beyond isolated projects. That's not a framework problem. That's not a model problem. That's a coordination problem. The Scaling Wall Single agents are easy. You give Claude a task,…
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Diagnosing Agent Coordination Failures

December 16, 2025
Your multi-agent system is failing. But how do you describe what's wrong? "The agents are... not working together" doesn't help your debugging session. You need a diagnostic vocabulary—precise terms that map symptoms to root causes to solutions. The Problem with Ad-Hoc Diagnosis Most teams describe …
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