9 min read
How to find what is using a port on Windows, Linux, and macOS
When a server says a port is already in use, identify the listener before changing process state. Compare native tools with one structured QZX diagnostic.
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Practical ideas for building more efficient AI agents
Clear guides about AI tools, command-line workflows, structured results, and the real costs hidden inside agent loops.
14 min read
What is Model Context Protocol (MCP) in 2026? Stateless architecture, tools, transport, and security
MCP 2026-07-28 removes the protocol-level session and makes each request self-describing. Learn the current architecture, tool result model, transports, security boundaries, and QZX interoperability path.
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13 min read
How to check disk space on Windows, Linux, and macOS
Windows, Linux, and macOS expose disk capacity differently. Learn the native commands, what their numbers mean, and how QZX provides one structured cross-platform request.
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11 min read
MCP vs CLI vs API for AI agents: which interface should you choose?
MCP, CLI tools, and direct APIs solve different integration problems. This practical guide compares discovery, transport, permissions, portability, and the role of QZX.
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15 min read
What are AI tokens? Pricing, cost examples, and how QZX can reduce agent usage
AI tokens power every prompt, tool call, result, retry, and response. Learn how token pricing works and when richer QZX commands can reduce unnecessary agent rounds.
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10 min read
Why is automation across Windows, Linux, and macOS so difficult?
A script that works on one operating system can fail on another because the shell, paths, permissions, utilities, and output all change. QZX gives supported operations one vocabulary and a stable result shape.
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