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Function calling without waiting for Enter. Answers only when needed. TypeSafe AI Jev understands intent and arguments as you type, then executes ahead of time once everything is in place.

Yoshiki Miura

4,859 subscribers

42,396 görüntüleme • 4 gün önce •via X (Twitter)

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13 Yorum

lakshya profil fotoğrafı

lakshya4 gün önce

@typesafeai @a1zhang time to revisit sPTC

Tim Johnson profil fotoğrafı

Tim Johnson4 gün önce

@typesafeai @2sidesofacoin imagine the UX possibilities!

Meir Dick profil fotoğrafı

Meir Dick4 gün önce

@typesafeai Love this use case.

Frank Martinez profil fotoğrafı

Frank Martinez4 gün önce

@typesafeai Superb

Jacob Jacquet profil fotoğrafı

Jacob Jacquet3 gün önce

@typesafeai This is my personal favorite jev usecase so far

Yohei profil fotoğrafı

Yohei4 gün önce

@typesafeai noice

Yoshiki Miura profil fotoğrafı

Yoshiki Miura4 gün önce

@typesafeai 🫡

RaZaan profil fotoğrafı

RaZaan4 gün önce

@typesafeai This is wild 🔥

pleasant profil fotoğrafı

pleasant4 gün önce

@typesafeai next level

AI Mastery Guide profil fotoğrafı

AI Mastery Guide3 gün önce

@typesafeai no enter needed, that's slick

Nick Bruce profil fotoğrafı

Nick Bruce3 gün önce

@typesafeai @miiura how are you stopping it from firing before the user changes their mind? or is it so cheap it just fires constantly 😂

blackcat profil fotoğrafı

blackcat3 gün önce

@typesafeai Why I would pay to get an autocomplete?

Martin Ronfort profil fotoğrafı

Martin Ronfort4 gün önce

@typesafeai The way it handles intent and structured output is what sets it apart from standard chatbots. We actually went deeper on this here:

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Also have been playing with TypeSafe AI Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms

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Wow, TypeSafe AI Jev is a game changer for voice-driven UI. Responsiveness really matters for an experience to 'feel' right, and this certainly does the job! Latency here is not optimal given I'm in London and calling out to us-west. But still, super snappy. In this video, Jamcat is using Pipecat to orchestrate a real-time handover between a command agent (Jev) that drives the UI, and voice agent (PhoneLLM) for handling generations and (not in the video) discussing ideas and session setup with the user.

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I got a rubik's cube to solve itself with TypeSafe AI 's Jev and it solves it like a person does, 94 moves, not the 22 move optimal solution. Jev isn't an LLM, it just answers one question in ~250ms with a probability. so I put the beginner method in code (the one you'd learn on youtube: white cross, corners, middle layer, yellow layer) and at every step Jev just looks at the cube and picks which case it's in. code checks every pick. ~4 seconds of model time total. video is slowed down so you can read it!

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