Daniel Rosehill Blog
Exploring technology, AI, business insights, and personal reflections from a curious mind
A Claude Code transcription plugin that replaced five of my projects
Transcription Pipeline is a public Claude Code plugin that turns voice notes and calls into transcripts, specs, minutes and PDFs in eight stages. It replaced two plugins and three MCP servers, and was specified in a voice note it then transcribed.
My home AI gateway, v5: skills ate the MCP servers
Version five of my home AI gateway: skills overtook MCP servers, one index now serves skills and tools, and a survey of the field turned up a skills gap nobody else is filling.
Using AI to decide my vote in Israel's 2026 election
How I turned a 42-minute voice note into an AI vote decision for Israel's 2026 election: the method in diagrams, my result, and a step-by-step guide to doing it yourself with any AI chat app. No list has a real tenant-protection policy.
Forecasting Israel's election for two cents: decision models vs the markets
Two decision models answered 39 questions on Israel's 27 October election from a frozen pack of polls, lists and news, with and without market prices. It cost $0.016, and adding market prices flipped the forecast.
I had a conversation with my own voice clone
I fine-tuned a text-to-speech model on 88 minutes of my voice, then had a ten-minute conversation with it. My lines are real phone recordings; its lines are generated. Listen, and see how it was made.
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The Linux mic slider lies: Mic Monitor shows the real gain
On Linux, the microphone volume slider is not your mic's analog gain: mine was 60 dB out. Mic Monitor is a KDE Plasma tray app that shows the real gain in dB, clipping and noise floor, tuned for dictation and speech recognition.
Adding paragraph breaks to speech-to-text output with Gemma 3 270M
A Gemma 3 270M fine-tune that adds paragraph breaks to flat speech-to-text output and changes nothing else. Small enough for on-device use, with an ONNX export. Break F1 0.78 on 26 held-out memos.
Bolding the key lines of a dictated email with Gemma 3 270M
A preliminary Gemma 3 270M fine-tune that bolds the key lines of a dictated email (the asks, the purpose, the key facts) and changes nothing else. Small enough for on-device use. Word F1 0.62 on six held-out emails.
Jachnun and Sabich: the first stable Hebrish models, in depth
A deep dive into the first stable Hebrish models, Jachnun v1.0 and Sabich v1.0: the data, the training recipe, the results against stock Parakeet and Whisper, the formats, and the full white paper.
Hebrish: one home for my English-Hebrew speech models
Hebrish is my one-person, not-for-profit home for English-Hebrew speech models: Jachnun, Sabich, Shakshuka and the Whisper fine-tunes, free apps, open data and benchmarks, all at hebrish.app.