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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 views • 4 days ago •via X (Twitter)

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13 Comments

lakshya4 days ago

@typesafeai @a1zhang time to revisit sPTC

Tim Johnson4 days ago

@typesafeai @2sidesofacoin imagine the UX possibilities!

Meir Dick4 days ago

@typesafeai Love this use case.

Frank Martinez4 days ago

@typesafeai Superb

Jacob Jacquet3 days ago

@typesafeai This is my personal favorite jev usecase so far

Yohei4 days ago

@typesafeai noice

Yoshiki Miura3 days ago

@typesafeai 🫡

RaZaan4 days ago

@typesafeai This is wild 🔥

pleasant4 days ago

@typesafeai next level

AI Mastery Guide3 days ago

@typesafeai no enter needed, that's slick

Nick Bruce3 days ago

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

blackcat3 days ago

@typesafeai Why I would pay to get an autocomplete?

Martin Ronfort4 days ago

@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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nader dabit

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Blanche: "Many people in this room have done it as well. They're just as guilty as a lot of people on X. When you have reporters, when you have media just being overly critical and calling the president horrible names for no reason and without evidence, it shouldn't surprise us that this type of rhetoric takes place."

Blanche: "Many people in this room have done it as well. They're just as guilty as a lot of people on X. When you have reporters, when you have media just being overly critical and calling the president horrible names for no reason and without evidence, it shouldn't surprise us that this type of rhetoric takes place."

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64,902 views • 4 months ago

Still wondering how AI can assist you? 🤔 Our multi-agent system has already realized the full process of AI-driven trading: ✅ AI gathers real-time data ✅ AI analyzes and strategizes ✅ AI executes trades—completely autonomously All you need to do is tell our Chatbot your intent, and it takes care of the rest! 💡🚀 CZ 🔶 BNB is learning how to trade on DEXs—why not let AI handle it for you? With Tearline AI, you can automate any Web3 action. Watch as Tearline executes a trade on BNB Chain , turning intent into action effortlessly. The future is here! Try it now! 🔥 #AI #Web3 #BNBChain #DEX #Automation #Tearline

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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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Jon Taylor

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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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205,938 views • 4 days ago

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