What you'll learn
⚡ Optimize cost per successful task, not price per token
⚡ Read any new model release without being fooled by benchmarks or pricing pages
⚡ Build a 15-case micro-evaluation from your own real tasks
⚡ Route each task to the cheapest model that can do it well
⚡ Run a plan-execute-review pipeline across multiple models for frontier quality at a fraction of the cost
⚡ Cut spend with context trimming, prompt caching, and cost guardrails
⚡ Future-proof your stack to adopt cheaper models the day they arrive
Requirements
❗ Basic familiarity with using an LLM (ChatGPT, Claude, or similar)
❗ No math or ML background required - concepts are taught from first principles
❗ Optional: access to an LLM API to complete the hands-on labs
Description
This course contains the use of artificial intelligence.
The best AI users in the world have stopped obsessing over prompt engineering. What they care about now is which tokens they use for which task. Not all tokens are equal - some are higher quality, some are faster, some are far more expensive - and the professionals who get the most out of AI know exactly how to mix them to raise quality while cutting cost.
This course turns that instinct into a repeatable operating system. You'll learn to stop reacting to pricing pages and benchmark charts and start optimizing the one metric that actually matters:cost per successful task. You'll build your own micro-evaluations, route each task to the cheapest capable model, split hard tasks across a plan-execute-review pipeline of models, and slash spend with context trimming, caching, and guardrails.
Every concept is applied toBeacon, a realistic SaaS company fighting to cut a $180,000/month AI bill by 40% without losing quality - so you see theory become real decisions and measured results. You'll finish with a complete framework, reusable templates, hands-on labs, and a capstone that proves you can buy intelligence the way the frontier does.
Model names change monthly; the principles here don't. If you build or ship anything with LLMs, this course pays for itself in your very next invoice.
Who this course is for
⭐ Developers and AI engineers shipping features with LLMs
⭐ Technical product managers and founders watching an AI bill grow
⭐ Anyone who wants better AI output at lower cost


https://rapidgator.net/file/3d56b3245fe367df4806eda037e5f3d5/Token_Economics_Buying_Intelligence,_Not_Tokens.part1.rar.html,_Not_Tokens.part2.rar.html
https://rapidgator.net/file/6fd59b37ae3d1cc3055fac357920296f/Token_Economics_Buying_Intelligence,_Not_Tokens.part2.rar.html,_Not_Tokens.part1.rar.html