Lesson 2 of 10 · Cut AI Product Costs Without Killing Quality
In this lesson. Unit cost, quality, and latency on the same dashboard.
What you will learn
- Cost per successful task
- A quality sample you already trust
- Latency beside cost
Walkthrough
Cuts without a baseline become arguments. You will define cost per successful task, a quality sample, and p95 latency. Then you will take a one-week baseline. Optimization that you cannot graph is just a vibe. This lesson installs the dashboard.
Work through the ideas in order. After each point, pause and connect it to a task you already do — a document, a workflow, or a feature you own. The goal of Cut AI Product Costs Without Killing Quality is usable skill, not a pile of notes.
If something is unclear, rewrite it in your own words before you continue. Teaching the step back to yourself is the fastest way to see gaps.
Practice
Write the three numbers for your feature and where you will read them next week.
Keep the first attempt small. A finished example you can reuse beats a perfect plan you never run.
Check your understanding
- Can you explain the goal of this lesson in one sentence to a teammate?
- Where would you apply “Cost per successful task” in your own work this week?
- What would you change on a second pass of the practice?
Next. Continue to the following lesson when the practice has a real artifact, even a rough one.