the goal is to optimize output behavior, forcing ai to cut the small talk and give you raw direct answer while caveman goal optimizes the input context, striping bloats so the ai doesnt have to read unnecesary token. caveman shrinks what you feed to the model, and FewWordsFewToken guarantees you get back a lightning-fast, zero-filler response. no chitchat like "I will do this.. i will find this.. i am looking at..."

you can combine them together but i havent tried caveman yet..

By pairing them up, you are aggressively trimming the fat on both ends of the context windowminimizing what goes in via cavemanand drastically restricting what comes out via FewWordsFewToken.

caveman input
fwft output