Org card: makolet cartoon (cdn.hebrish.app), Sabich recommended

README.md

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 **Dictation that gets the Hebrew words right.**
 
+![Cartoon: at a makolet counter, a stock speech model pictures a French woman with a baguette; a speech bubble shows Micollette struck through and makolet written correctly](https://cdn.hebrish.app/img/illustrations/gag-makolet.webp)
+
+Ordinary dictation hears *makolet* and writes "Micollette". Hebrish writes the Hebrew word.
+
 Hebrish improves ASR accuracy for code-switched English–Hebrew, for English-speaking immigrants in Israel and users throughout the Jewish world. It is a one-person, not-for-profit project by Daniel Rosehill, and its models and data are open.
 
-- **Models:** [Jachnun](https://huggingface.co/Hebrish/Jachnun) and [Sabich](https://huggingface.co/Hebrish/Sabich), Parakeet TDT 0.6B v2 fine-tunes (with GGUF, ONNX, sherpa-onnx and MLX builds); Shakshuka, an experimental Nemotron streaming fine-tune; Whisper-Hebrish; and a [token classifier](https://huggingface.co/Hebrish/Hebrew-Latin-Token-Classifier) for romanized Hebrew.
+- **Models:** [Sabich](https://huggingface.co/Hebrish/Sabich) (recommended in the apps: code-switching plus tech vocabulary) and [Jachnun](https://huggingface.co/Hebrish/Jachnun) (code-switching), Parakeet TDT 0.6B v2 fine-tunes (with GGUF, ONNX, sherpa-onnx and MLX builds); Shakshuka, an experimental Nemotron streaming fine-tune; Whisper-Hebrish; and a [token classifier](https://huggingface.co/Hebrish/Hebrew-Latin-Token-Classifier) for romanized Hebrew.
 - **Data:** read-aloud code-switching sentences and a frozen benchmark, scored by Hebrew-term recall on a clean subset. Results: [hebrish.app/benchmarks](https://hebrish.app/benchmarks).
 - **Apps:** [Hebrish](https://github.com/Hebrish-ASR/Hebrish-App) runs the models on-device on Android, Linux and Windows.