Developer Guides

Guides for Working with AI APIs

In-depth articles on tokenization, cost optimization, model selection, and prompt engineering — written for developers building with AI.

Cost & Optimization

How to Reduce Your AI API Costs: A Practical Guide

Proven strategies to cut AI API spending by 40–80% without sacrificing output quality — model selection, prompt caching, batching, and more.

12 min read · August 2026

How AI Tokenization Works: A Complete Developer Guide

Everything you need to know about BPE tokenization — how models convert text to tokens, how different providers differ, and how to optimize for token efficiency.

10 min read · August 2026

Model Selection

GPT-5.6 vs Claude 5 vs Gemini 3: Choosing the Right AI Model

An honest, practical comparison of OpenAI, Anthropic, and Google's latest models — what each provider excels at and how to match models to tasks.

11 min read · August 2026

Prompt Engineering

System Prompt Engineering: Get Better Results at Lower Cost

How to write system prompts that improve AI output quality and reduce token usage simultaneously — structure, length, format, and provider-specific tips.

9 min read · August 2026

Free Tools

Token Counter Count tokens for any model instantly Cost Calculator Estimate API spend across models Model Comparison Full specs and pricing table Prompt Builder Build structured system prompts