Diary of an AI Architect

Diary of an AI Architect

12 proven strategies to reduce AI costs at scale

How leading teams optimize AI economics while maintaining quality, reliability, and business impact.

May 29, 2026
∙ Paid

Last month a friend pinged me at 11pm. One line: “Our AI bill just hit $40k. Help.”

His team shipped a great feature.

Users loved it.

Then the invoice landed.

Same model. Same product. The cost had quietly tripled in six weeks.

Nobody did anything wrong. Nobody did anything on purpose either. That was the problem.

Here is what I told him. And here is what I tell every team that hits this wall.

You do not have a model problem. You have a habits problem.

LLM cost is not one big leak. It is twelve small ones.

Let me walk you through all twelve.

Diary of an AI Architect is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

First, why this matters now

Token prices keep falling.

Yet enterprise AI bills keep climbing.

How? Because volume grows faster than price drops.

Google now processes over a quadrillion tokens a month. Deloitte’s 2026 CFO guidance calls AI the fastest-growing line item in tech budgets.

Translation: your bill is going up…

User's avatar

Continue reading this post for free, courtesy of Anurag Karuparti.

Or purchase a paid subscription.
© 2026 AgentChainAI LLC · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture