Update README.md
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@ -13,7 +13,7 @@ When an LLM agent needs to follow these conventions, it usually has two bad opti
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Dervish replaces both with a **one-call MCP tool**: pass your sequences, get back a ~60-token grammar. A rule you can trust, at a fraction of the cost.
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**Without Dervish:** token cost scales linearly with examples. **With Dervish:** one compact grammar describes them all — a ~60–200 token rule instead of thousands of tokens of raw examples.
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**Without Dervish:** token cost scales linearly with examples. **With Dervish:** one compact grammar describes them all — a ~60–200 token rule instead of thousands of tokens of raw examples. Try it out and you too will say:
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<p align="center"><img src="dervish.gif" alt="Dervish animation" width="37.5%"></p>
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