DevOps
Cost Attribution for AI Features: Tracking What Your LLM Calls Actually Cost
A practical guide to attributing LLM API spend to features, customers, and prompt versions, with a working middleware pattern for token and cost tracking.
Sachin SharmaCreator
Jul 13, 2026
6 min read
Featured Resource
Quick Overview
A practical guide to attributing LLM API spend to features, customers, and prompt versions, with a working middleware pattern for token and cost tracking.
Previous Article
Hand Tracking and Gesture Input for WebXR: What's Actually Usable Today
Hand tracking demos look great on stage. Shipping it to real users means dealing with jittery joint data, inconsistent device support, and a pinch gesture that has to work for hands of every size.

Next Article
The Local-First Paradigm: Core Architectural Principles
Take back control of user data. Learn the core architectural pillars of local-first development and offline-first state synchronization.