Ai Llm

This is the skill to load when you're making architectural decisions about LLM systems or trying to ship them to production without burning money or credibility. It walks you through the full lifecycle: when to fine-tune versus prompt, how to set up evals that actually catch regressions, cost optimization patterns like model tiering and caching, and operational concerns like rollback plans and security threat modeling. The decision trees and ROI calculators are grounded in 2026 best practices. It treats models as components with contracts and budgets, not magic boxes, which is the right framing if you want systems that survive contact with users and finance teams.