Saraev — Economic Math (Quick-Maths)

Overview

Saraev's pattern: most AI-automation / agency operators get the service right and the math wrong. They underprice, under-estimate token costs, confuse margin with revenue, and hire before the next role pays for itself. This skill codifies the quick-maths so the numbers don't sink the business.

Source: uSTGNHGFOAo @ 1:52:30 (Saraev transcript, wave 1 catalog P098).

When to use

• Pricing a new retainer (what do we need to charge to make N% margin?)
• Evaluating an existing client (are they still profitable after scope creep?)
• Deciding whether to hire (what's the break-even?)
• Estimating token cost per outbound / per enriched lead / per scraped signal
• Comparing service packages (monthly retainer vs outcome-based vs hybrid)

Quick-maths formulas