Free resource · Field guide

Managing AI Costs Without Killing the Product

A practical field guide to understanding, controlling, and pricing AI usage before the API bill becomes the business model.

I break AI cost management down as a product and operating problem: measuring the real cost of a completed workflow, routing work to the right model, controlling agent loops and context growth, setting customer-level budgets, protecting gross margin, and building the reporting needed to know when usage is creating value rather than just spend.

Start the guide ↗15 chapters · free · no signup required
Who it's for

Built for people making the same decisions I made.

This guide extends the same operating principles I used when building FewzenAI: usage has to be attributable to a customer and a workflow, model and token data have to be visible, BYOK has to be distinguishable from platform-funded usage, and cost controls have to sit inside the product rather than in a spreadsheet reviewed after the bill arrives.

Founders building AI-native products

Engineering leaders responsible for AI infrastructure spend

Product teams deciding where expensive models are actually justified

Agencies delivering AI-assisted work for clients

Consultants reviewing AI unit economics and operational controls

Finance and operations teams trying to forecast variable AI costs

Structure

5 parts, 15 chapters.

Every chapter follows the same teaching device: the situation, the naive solution, the hidden constraint, the decision, the implementation, the tradeoff, the evidence, the reusable lesson, and the consultant's questions.

Where I can help

AI Cost and Unit Economics Review

I help teams map the real cost of their AI workflows, identify the expensive failure modes, design model-routing and usage controls, and connect technical consumption to pricing, margins, and customer value.

Book an AI cost review ↗
Work with me

Ready to work through it?

Start the guide and progress through it at your own pace. Start with a 30-minute call with me.

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