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.
How We Pick a Model: Frontier, Mid, or Cheap
The instinct is to reach for the most capable model and stop thinking. That instinct quietly wastes money and adds latency. Here is the decision we actually run for every AI feature we build.
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.
Falling AI Costs, Except at the Frontier
The cost of a given level of model intelligence has dropped sharply and keeps dropping, even as the newest flagship models get pricier. That gap changes which features are worth building, and it punishes anyone who treats today's price as permanent.
How to Hand Over a Software Project Without Making Everyone Miserable
Good handovers are rare. Most teams only discover the documentation is missing when they need it. Here is what a proper handover actually looks like.
The Real Cost of Technical Debt
Everyone knows technical debt is bad. What is less understood is how it compounds, when to pay it down, and how to have that conversation with people who control the budget.
How We Decide When to Build vs Buy
Custom software is not always the answer. Here is the framework we use with clients to figure out which approach actually makes sense.