I regularly lose time to terminal muscle memory.
I work across Windows and Unix-like shells, so I will remember the right command in the wrong environment, transpose a Git subcommand, or use a valid binary with an invalid subcommand. The fix is usually easy to find. The interruption is the costly part: stop, search, translate the answer back into the current shell, and try again.
The idea is not new. There are projects that help with failed commands, as well as terminal-integrated LLMs such as aichat. However, I wanted something that does one thing well: fix commands in a seamless workflow powered by an LLM.
I wanted a deliberately narrow tool: when a command fails, suggest the command I probably meant, let me inspect it, and run it only after confirmation.
During a Fable promotion period, I used an LLM coding agent to see how far a well-scoped prompt could get me. With very little steering, it produced a usable Go prototype in roughly an hour.
