Build an MCP server in Python for your docs: stdio and HTTP, with measured payload sizes
A working MCP docs server (mcp 2.3.0, 2 tools) over stdio and HTTP: a k=5 search returns 1,818 bytes of text, but the full result is 2.19x larger.
Jev vs LLMs: when a decision model beats a chat model (and when it doesn't)
Analysis: Jev claims 70-500ms typed decisions (vendor-reported). My runnable stand-in, TF-IDF + logistic regression, routed text at 0.6ms and $0, 60% accuracy.