The document-work part of the 21 agent skills. It covers the Notion API and CLI, the Obsidian vault, and natural-language PDF editing.

The final part of the 21 agent skills. It covers GGUF quantization selection, local inference with llama.cpp, high-throughput serving with vLLM, and the Hugging Face CLI.

Four real costs I confirmed by running an agent built on free frameworks: the token bomb, the operations labor, free-tier lock-in, and paying with data, backed by measured numbers and logs.

Connecting more tools to an AI was supposed to make it smarter, but the opposite happened. Here are the results of splitting the test into 5, 20, and 50 tools.

Weighing Hermes's 40-plus built-in skills against Claude's pptx/xlsx/docx/pdf skills shows that the battleground is not 'we support 40 skills' but 'the real context cost of a single hello.

Big Tech's 2026 capex guidance really is 730 billion dollars. This article examines the gap between some 500 coding agents and a general-user coding share of just 4.2 percent, and points to where the real market actually is.

When CLAUDE.md grows to hundreds of lines, token cost explodes and the model starts ignoring rules. We lay out @import versus the paths-based conditional loading in .claude/rules, the precedence order, and a five-step troubleshooting sequence.

The o200k tokenizer in GPT-4o cut a Korean sentence from 45 tokens to 27. We lay out the measured figures behind the vocabulary expansion and the BPE mechanics behind them.

Korean consumes two to three times more tokens than English for the same meaning. We lay out tokenizer mechanics, per-language consumption, the cost, context, and speed consequences, and practical countermeasures.

We cloned and measured eidan, a personal agent OS that speaks three protocols at once: MCP, A2A, and AG-UI. Here is the honest result, including 11 packages that fail type checking with 180 errors.