3 guides
Guides
Long-form explainers on the parts of working with AI models that pricing tables cannot capture — architecture, billing mechanics, and the failure modes that show up in production.
AI Agents and MCP in 2026 – What Actually Works in Production
How agentic AI moved from fragile demos to production systems, what the Model Context Protocol changed, and how to control the cost of agents that make thousands of model calls a day.
LLM Cost Optimization – Seven Levers That Actually Move the Bill
Practical ways to cut LLM API spend without downgrading quality, ordered by how much they typically save. Caching, routing, batching, and the mistakes that inflate bills quietly.
Reasoning Models Explained – RLVR, Thinking Budgets and Real Cost
Why nearly every frontier model now thinks before answering, how reinforcement learning with verifiable rewards made it work, and how to stop hidden reasoning tokens wrecking your budget.
Looking for the numbers instead?
The guides explain the mechanics; the tables have the current prices.