Is your Gemini CLI context getting bloated? Wasting tokens and money with every prompt? It's time to optimize. Many of us use .md files for context, but we often create large, inefficient, and repetitive files. This leads to higher token costs, slower responses, and messy workflows. In this video, I walk you through my exact process for refining and simplifying Gemini CLI context files. Learn how to cut down on waste, reduce token utilization, and build a hyper-efficient workflow that's not only cheaper but also more sustainable. // RESOURCES & LINKS // Official Gemini CLI Repo: https://github.com/google-gemini/gemini-cli My GitHub (for example files): https://github.com/Primatif Primatif Website: https://primatif.com/ Connect on LinkedIn: https://www.linkedin.com/company/primatif/ // CONNECT // Join the conversation! How do you optimize your prompts and context? Let me know in the comments. #GeminiCLI #TokenOptimization #AIWorkflow #LLM #AIEfficiency #GoogleGemini #DeveloperTools #SustainableAI

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