When a New Model Drops, What Changes for Clients
A new model lands every few weeks, each one billed as a leap forward. Upgrading is not free and not always an improvement. Here is how we decide whether to move a client's feature onto a new model, and when we wait.
The Real Total Cost of an AI Feature
The token bill is the cost everyone sees and the smallest part of the real number. Here is the rest of the iceberg: evaluation, monitoring, human review, and the quiet maintenance that keeps an AI feature working.
Charging Clients for AI When the Cost Is a Moving Target
Fixed-price delivery and variable per-token cost do not naturally fit together. Here is how we structure AI work commercially so the client gets a clear number and we do not absorb an open-ended bill.
The Token Bill Nobody Budgeted For
Token pricing looks trivial on the pricing page and arrives as a real number on the invoice. Here is how AI features actually accumulate cost, and how we budget for it before a line of code is written.
AI Readiness Audits Are Quietly Becoming Most of Our Consultancy Work
A year ago clients hired us to ship features. Now they hire us to tell them whether their codebase can survive the AI feature their CEO already announced. The findings are starting to repeat.