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AI/ML2026-04-28

save-money: The Claude Cost Router That Pays For Itself

save-money automatically routes Claude prompts to Haiku or Sonnet based on task complexity — cutting API costs 50% without touching output quality.
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Install command
$ mrt install ai
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save-money: The Claude Cost Router That Pays For Itself

TL;DR

Auto-detect task complexity for Claude models and route to the cheapest one that gets the job done. Simple tasks → Haiku. Complex tasks → Sonnet. Save 50%+ on API bills without touching output quality.

10-Second Pitch

  • **What it does:** Inspects each incoming prompt, classifies complexity, dispatches to Haiku (fast/cheap) or Sonnet (capable/pricey)
  • **Key win:** Haiku is ~20x cheaper than Sonnet for simple tasks; this skill routes automatically
  • **Best for:** High-volume AI products where every cent counts

Setup

pip install claude-router

Route a prompt with a single call:

claude-router route "Explain quantum entanglement in one sentence"

claude-router route "Write a comprehensive technical spec for a distributed key-value store"

How It Works

1. **Classify** — The router reads your prompt and scores it for complexity (factual, procedural, creative, analytical)

2. **Route** — Simple prompts (factual Q&A, greetings, lookups) go to Haiku. Complex (multi-step reasoning, code generation, analysis) go to Sonnet

3. **Respond** — You get the response. The routing is transparent — you can audit which model handled each request

Pros / Cons

ProsCons
50%+ cost reduction on typical workloadsRequires accurate complexity classification
Drop-in for existing Claude integrationsSome edge cases still need Sonnet

Verdict

If you're running Claude at scale and not routing by complexity, you're burning money. `save-money` is the obvious first skill to install on mr.technology. The ROI is immediate — if Haiku handles even 30% of your volume, you're cutting the bill significantly.

Transparent routing with full audit trailExtra latency (~50ms) for classification