Infrastructure, security, automation, and the systems thinking behind all of it. From homelab builds to AI workflows, documented as it happens.
Build logs, field notes, and technical deep dives.
How LLMs actually work: tokens, transformers, context windows, attention, and output sampling. Plus proven techniques to optimize token usage in Claude and ChatGPT. Interactive demos included.
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Anthropic's Model Context Protocol crossed 97 million monthly SDK downloads. Every major AI provider supports it. The Linux Foundation just took it under open governance. This is the standard now.
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Agentic AI is not coming. It is here. It is approving loans, triaging your support tickets, and running attack campaigns. If you do not understand how it works, you are already behind.
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Most people use Obsidian like a glorified notepad. Here is how to build it into a real knowledge management system with structure, automation, a daily operating rhythm, and an LLM-maintained wiki that scales.
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