I’m trying to optimize an AI workflow for bleeding-edge Linux/ML debugging (Arch/CachyOS, CUDA, Python, unsloth, etc.). Current stack: - Claude = deep reasoning/mastermind - Gemini 3.1 Pro = execution/logistics - Perplexity = retrieval Main problem: Gemini often gives high-friction or impractical fi