AI Pricing Playbook: A Practical Guide for Startups is the operator's guide to pricing AI products without killing adoption, margin, or trust.
You built an AI product that does the work of a person. Make sure it makes the money
Pricing is the fastest lever you own, and it's the one most founders pull last. Get it wrong and you leave most of your value on the table, bankroll your competitor's growth, and train customers to expect cheap. Get it right and a single price change beats a quarter of new logos.
Pricing AI Products is the operator's playbook for monetizing AI, written for founders and executives who have to commit to a number this week, not next year. It covers what the SaaS-era pricing books miss: outcome and agent pricing, usage and token models, the margin math when compute cost rises with every call, willingness-to-pay research, packaging that steers buyers to the right tier, and the pricing story investors actually open first in diligence.
Inside you'll find:
- The autonomy-and-attribution map that tells you which model to charge on
- Good-better-best packaging that gets buyers to upgrade themselves
- The capture ratio: how much of the value you create you actually keep
- How to reprice your existing base without a revolt
- 37 chapters, worked examples, named frameworks, and a 90-day playbook you can start Monday
Written by Nitin Kumar, an operator who took two startups to exit and now runs pricing diligence for software investors. No theory for its own sake. Just the decisions, the tradeoffs, and what to do next.
Stop pricing your AI like software. Charge for the work it does.
