Resources

Practical ideas for better AI margins.

Short, implementation-focused notes for teams trying to reduce LLM API costs and improve product economics without slowing shipping velocity.

Batch Processing
2026-05-227 min read

Batch API vs Real-Time LLM Calls: When to Use Each (And Save 50%)

A practical guide to OpenAI Batch API cost, Anthropic batch API pricing, and when engineering teams should batch workloads instead of paying real-time LLM rates.

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Provider Pricing
2026-05-217 min read

Claude 3.5 Sonnet vs GPT-4o for Production APIs: Real Cost Breakdown

A practical Claude vs GPT-4o cost guide covering Anthropic vs OpenAI API pricing, long-context economics, and where model-task fit matters more than headline price.

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Model Selection
2026-05-206 min read

GPT-4o vs GPT-4o-mini: When to Downgrade Your Model and Save 15x

A practical guide to GPT-4o vs GPT-4o-mini cost, when to use GPT-4o-mini, and how engineers can reduce OpenAI API costs without hurting quality.

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Prompt Caching
2026-05-196 min read

Prompt Caching: The Fastest Way to Cut LLM Costs by Up to 80%

A practical prompt caching LLM guide covering OpenAI and Claude APIs, best practices, cost examples, and common mistakes.

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LLM Model Routing
2026-04-226 min read

LLM Model Routing: How to Cut Your AI Costs by 50% Without Losing Quality

A practical guide to LLM model routing, OpenAI cost optimization, and reducing AI inference costs with smarter model selection.

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LLM Cost Optimization
2026-04-215 min read

5 Ways to Reduce Your LLM API Costs Without Sacrificing Quality

A practical guide to reduce LLM API costs with prompt caching, model routing, token reduction, batching, and better retry controls.

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