AI explained the way you actually use it
Not demos — workflows. Opens-Route covers model selection, API integration, prompt patterns and the unglamorous parts of making AI work in production.
Ask about AI APIs or workflows
Stuck choosing a model, hitting rate limits, or wondering how to structure prompts for a real task? Send the details and we will answer in an article or directly.
- We answer every question — no paywalled advice
- Code examples in Python and JavaScript
- We write about what we actually run in production
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What we cover
Four topics that cover the practical side of AI.
Choosing models
How to pick between models for cost, quality and latency — with real benchmarks.
AI API integration
Auth, streaming, retries, rate limits — the engineering nobody demos.
Prompt patterns
Structures that survive production: templates, few-shot, evaluation.
AI cost control
Caching, batching and routing tricks that cut API bills dramatically.
How we write
Three rules keep the blog honest.
1. Run it first
Every example is executed before it is published, with versions pinned.
2. Count the cost
Each workflow comes with real token costs, not just output screenshots.
3. Say when not to
AI is not always the answer; we mark cases where simpler tools win.