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+ "$schema": "https://openapi.vercel.sh/vercel.json",
+ "outputDirectory": "website"
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+ Faster conversational voice agents, built in the open - Premove
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+ Premove
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Premove
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Faster conversational voice agents, built in the open
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I got obsessed with exploring voice agents after making the same frustrating phone call over and over again. I thought making the agent smart would be the hard part. But I kept running into the less glamorous problems underneath it: latency, transcription errors, tool calls, and all the small things that make a conversation feel off.
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Premove is my effort to work on those problems in the open, one by one.
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The broader project is still under development. As parts become useful on their own, I’ll release them independently instead of waiting for the whole thing to be finished.
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Premove ITN: Context-aware inverse text normalization
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The first released piece is Premove ITN, an open-source, context-aware inverse text normalizer for English voice-agent transcripts.
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One of the first problems I hit was that an ASR transcript could look completely fine to me and still be wrong for the tool behind the agent.
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my room number is two thirty
+→ room_number = 230
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+meet me at two thirty
+→ 02:30
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If a normalizer always rewrites “two thirty” as 02:30, it sends the wrong value for the room-number request:
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my room number is two thirty
+→ room_number = 02:30 (wrong; the tool expects 230)
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The same spoken words can need different written forms depending on context.
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That is why I built Premove ITN: to turn spoken values like IDs, phone numbers, dates, times, amounts, and emails into the structured forms downstream tools expect.
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