GLM-5.1 MYTHOS: This CRAZY GLM-5.1 Setup is INSANITY!

The presenter introduces 'GLM Mythos' as an alternative to the hyped Claude Mythos, emphasizing that the real magic lies not just in the raw model but in the workflow and system design. GLM 5.1 serves as the foundation because it's inherently more agent-focused than chat-focused, excelling at long-running tasks involving file inspection, debugging, and iterative improvement. The setup begins with a $3 GLM coding plan and Kilo CLI as the terminal interface. King Mode is added as a system prompt to enforce discipline and reduce fluff, making GLM 5.1 more focused and structured. For UI work, front-end design skills are incorporated to prevent the generic 'AI slop' appearance common in AI-generated applications. The critical component is GSD (Get Stuff Done), a workflow methodology that prevents context rot by structuring work into distinct phases: mapping the codebase, discussing unclear aspects, planning phases, executing in small bursts, and verifying deliverables. This approach contrasts with typical AI coding where users dump large prompts hoping for complete solutions. The presenter demonstrates this with a movie tracker app example, showing how the structured approach leads to better architecture planning, manageable scope, and actual verification of functionality rather than just code compilation. The resulting system provides premium-level coding assistance at a fraction of typical enterprise costs, though the presenter notes it requires proper judgment about when to use the full stack versus simpler approaches for smaller tasks.