TokenTrim Prompt System: Slash ChatGPT token waste & boost speed with prompts.

Stop bleeding tokens on bloated ChatGPT custom instructions. Overstuffed prompts waste millions of context tokens, slowing responses and causing instruction amnesia. TokenTrim is a systematic framework to ultra-compress prompts using structured YAML tags—slashing token consumption by up to 93% while boosting output speed and precision. Key Features: YAML Framework: Replace prompt fluff with dense, machine-readable tags. Modular Triggers: Switch AI roles instantly with single keyword tags.

Hi Product Hunt! 👋

I’m Shirakam, the creator of TokenTrim.

I built this because I got tired of seeing my AI workflows slowed down and my context windows polluted by thousands of characters of bloated, polite custom instructions. We’ve all been in the "additive prompt" trap—thinking more words mean better AI output.

But with advanced models like GPT-4o, overstuffed prompts just cause latency, high API costs, and "instruction amnesia."

TokenTrim changes that by bringing "Subtractive Prompting" to your daily workflow. It slashes your token consumption by up to 93% using lightweight, structured YAML tags while making your AI responses lightning-fast and razor-sharp.

I’d love to hear how you currently structure your prompts, and I'm happy to answer any questions! 👇

Hi Product Hunt! 👋

I’m Shirakam, the creator of TokenTrim.

But with advanced models like GPT-4o, overstuffed prompts just cause latency, high API costs, and "instruction amnesia."

I’d love to hear how you currently structure your prompts, and I'm happy to answer any questions! 👇