Since ChatGPT launched I ve been trying to integrate LLMs into my workflows; emails, commits PRSs, or even long chat threads. My instinct was to code a small automation platform, but I found myself limited once again by its own constraints. Went back to zero, twice, and went back to the tools I ve been using for years: UNIX pipelines. I started using llm and later mods (now deprecated) and they re great tools, but I wanted something leaner and that would compose better with other tools.Clai does one thing: takes stdin, sends it to a model of your choice and prints the result. No REPL, no state. When it s done it just exits. git diff | clai commit cat article.txt | clai summarize | glow pbpaste | clai tldr curl -s example.com/article.html | clai -e Extract the three main concepts It ships with a set of named prompts but you can override, add or extend as needed, they re just files with frontmatter. There s also strategies (chain-of-draft, chain-of-thought, tree-of-thought, and self-refine) to change the reasoning depending on your needs.Works with major providers and I ll keep adding more. It can also be pointed to a local model so nothing leaves your machine.Install with: brew install maxrodrigo/tap/clai This is v0.3.0 and it s a few weeks old. It s early and rough around the edges. I d appreciate feedback on what s missing and if you find it useful. Contributions welcome.