A general-purpose AI gives you a price in seconds. Why that number sounds plausible and still is not yours, the four questions it never asks, and where AI genuinely helps with pricing.
How to price an AI product when every call costs you: four models compared, the margin math that decides between them, and what outcome pricing requires.
How to announce a price increase without losing customers: enough notice, a rationale built on results, a clear rule for existing customers. With three sample letters you can adapt.
Why most day rates are set too low: count billable days properly, cover fixed costs, add your target profit. With a worked example and the three ways past the ceiling.
Value-based pricing means putting a number on the value you create: the formula, the questions to ask in customer conversations, the fair share to charge, and where the approach breaks down.
What is your product worth to your customers? Five methods, from customer interviews to Van Westendorp, with an interview script and honest sample sizes.
Four ways to monetise an AI feature: included in the price, as an add-on, with credits or per outcome. The decision logic for founders, including a margin check.
A complete walkthrough for a defensible pricing strategy: from product description through price boundaries and pricing model to the final number, in 9 steps.
Flat rate, tiered, usage-based, per-seat, freemium or hybrid: every SaaS pricing model compared, with the questions that decide which one fits and the mistakes founders make most often.