Design and implement progressive disclosure for LLM features to reduce token usage and cost. Use when building multi-step AI calls (rank then expand then finalize), enforcing structured JSON outputs, applying token budgets, caching, and fallbacks—especially for front-end products like "职径导航" that generate job recommendations and career paths.