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Cut Claude Code Tokens by 80% (4 Free GitHub Repos + Full Token Minimization Stack)
The video shares a free “token minimization playbook” that claims to cut Claude Code token usage by about 80% using four open-source GitHub repos—RTK, Caveman, Ponytail, and Omniroute—and notes they can work with any AI agent. RTK sits between the agent and shell commands to compact and filter tool output (tested at 82.9% reduction, adding ~14ms). Caveman removes fluffy, overly polite responses to reduce reply tokens (tested 69% fewer output tokens, 37% overall reduction). Ponytail reduces unnecessary code volume by avoiding speculative abstractions while keeping safety basics. Omniroute routes grunt work to free models via a local gateway with 93 models and built-in RTK/Caveman compression. The script also suggests /clear, /compact, trimming claude.md, routing by difficulty, batching requests, planning first, and using a scout sub-agent, and promotes getting the full setup inside the AI Profit Boardroom’s Agent OS.
The video shares a free “token minimization playbook” that claims to cut Claude Code token usage by about 80% using four open-source GitHub repos—RTK, Caveman, Ponytail, and Omniroute—and notes they can work with any AI agent. RTK sits between the agent and shell commands to compact and filter tool output (tested at 82.9% reduction, adding ~14ms). Caveman removes fluffy, overly polite responses to reduce reply tokens (tested 69% fewer output tokens, 37% overall reduction). Ponytail reduces unnecessary code volume by avoiding speculative abstractions while keeping safety basics. Omniroute routes grunt work to free models via a local gateway with 93 models and built-in RTK/Caveman compression. The script also suggests /clear, /compact, trimming claude.md, routing by difficulty, batching requests, planning first, and using a scout sub-agent, and promotes getting the full setup inside the AI Profit Boardroom’s Agent OS.
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