Your AI agent doesn't need a $15/M token model to answer "what time is my meeting?"

But that's exactly what most teams are doing — running one expensive model for 100% of requests when 80% of those requests are simple.

The math is brutal:

• Claude Opus for a quick lookup: $15/M tokens

• DeepSeek V3 for the same lookup: $0.25/M tokens

• That's 60x more expensive for identical output

I just published OpenRouter 101 — the complete guide to slashing AI agent costs by 50-90% using intelligent model routing.

What's inside:

✅ The 3-tier routing system (routine → implementation → reasoning)

✅ 80 ready-to-use prompts organized by role

✅ Setup walkthroughs for Claude Code, Cursor, n8n

✅ Real cost comparisons with actual numbers

✅ The prompt caching trick that cuts input costs by 90%

One developer cut costs by 17x just by routing routine chat to a $0.17/M model and reserving Opus for complex reasoning.

If you're building with AI agents, this will save you real money.

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