fewshot learning

Turn your Linux shell into an AI workbench with four Bash projects that call any OpenAI-compatible model: pe-run for templated, versioned prompts; prompt-bench for A/B testing prompts, models, and temps with metrics; git-cc-msg to draft Conventional Commits from diffs; and log-summarize for TL;DRs of noisy logs. Includes a curl/jq helper, setup, and best practices for reproducibility, composability, and cost control.

Turn your Linux shell into an AI workbench with few‑shot prompting: teach an LLM tasks by example—no training or Python—using curl and jq. Learn a tiny Bash client, patterns for slugifying filenames, classifying logs (JSON‑only), and summarizing commits; enforce schemas, control style, reuse/version examples, add tests, and apply tips (2–3 examples, low temp) to build fast, reliable CLI automations.