Complete procedures with a way back.

Run a workload-owned, evidence-based comparison between a pinned local Qwen3-4B GGUF served by llama.cpp and current OpenAI and Anthropic cloud API candidates. Measure quality, privacy boundaries, latency, reliability, operations, capacity, and total cost without pretending differently sized models or delivery models are identical.

Run one pinned Qwen3-4B Q4_K_M GGUF through llama.cpp, Ollama, and LM Studio on the same machine, normalize the prompt and generation contract, measure cold and warm behavior, blind-score identical outputs, and choose a runner from control, automation, UX, operations, and workload evidence rather than reputation.