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Played around with TypeSafe AI Jev today, mostly to understand what it does for tool calling. Instead of an LLM deciding what to do, I substituted that part with Jev. My learning is that we will be able to make the agent act before the user finishes the sentence.... show more
110,761 views • 2 days ago •via X (Twitter)
15 Comments

@typesafeai @GradiumAI I built a memory system with it

@typesafeai @GradiumAI loved the explanation, and this unlocks so many use-cases previously not possible with LLM based systems

@typesafeai @GradiumAI Cool stuff!

@typesafeai @GradiumAI It's crazy this is going to expand into endless use cases i can think from top of my head

@typesafeai @GradiumAI This is how i see it.

@typesafeai @GradiumAI That’s what I meant to build as well😂. Codex’s UI skills went only so far. I'm integrating the blender MCP now.

@typesafeai @GradiumAI 'Cancel my booking... actually, just check the cancellation fee' would be a useful test. I'd start the lookup on partial speech, but wait before doing anything that changes the booking.

@typesafeai @GradiumAI acting on a prefix only works if the wrong tool is cheap to undo. for voice, do you wait for a Jev confidence cutoff, or fire as soon as one tool scores highest?

@typesafeai @GradiumAI Great leaning project you got there

@typesafeai @GradiumAI acting before the user finishes is powerful and slightly terrifying I'd want a confidence threshold + an easy undo path before letting prediction turn into side effects

@typesafeai @GradiumAI Can you open source?

@typesafeai @GradiumAI This looks cool

@typesafeai @GradiumAI Someone put a ring on her finger!

@typesafeai @GradiumAI Cool intro

@typesafeai @GradiumAI Would be nice to be able to see the code on a github repo
