Lilly Tech Systems
AI Token Efficiency
Cut your AI costs by 50-80% without sacrificing quality. Learn proven techniques for prompt compression, intelligent caching, model routing, and budget management that top engineering teams use in production.
Course Lessons
Follow in order or jump to any topic.
1. Introduction
Why token efficiency matters, how pricing works, and the real cost of wasted tokens at scale.
2. Prompt Compression
Reduce prompt length by 40-60% with compression techniques, abbreviation strategies, and structured formatting.
3. Caching Strategies
Prompt caching, response caching, semantic caching, and cache invalidation for massive token savings.
4. Model Routing
Route requests to the right model based on complexity. Use Haiku for simple tasks, Opus for hard ones.
5. Output Optimization
Control output length, use structured outputs, streaming, and token budgets to minimize waste.
6. Best Practices
Production budgeting, monitoring dashboards, team governance, and continuous optimization.
What You Will Learn
By the end of this course, you will be able to:
Cut Costs 50-80%
Apply proven techniques that reduce token consumption dramatically without losing output quality.
Build Efficient Prompts
Write prompts that achieve the same results in half the tokens using compression and structuring.
Route Intelligently
Send each request to the most cost-effective model that can handle it well.
Monitor and Budget
Set up dashboards, alerts, and governance to keep AI costs predictable and optimized.