Jev case: Woke up with early access to @typesafeai and was

The clip posted with this case (hosted by the collector’s media CDN); original post on X · 30s.

Wired Jev into a Three.js action game so the AI co-op bot reads game state and picks engage, regroup, survive, or escape intent in real time.

The original post

Woke up with early access to @typesafeai and was super excited to try. Got a demo cooking before work this morning where typesafe drives an AI co-op partner in my @threejs action game. Can see the log on the right tracking the AI decision making in realtime.

Typesafe is reading game state and choosing intent for the bot: When to engage, regroup, survive, or escape.

Obviously a bit primitive right now but this is like ~1hr worth of work. I need to run to work, but holy shit super excited to build on this 😄

The total spend for about 10mins play testing this morning was about $0.02. Let's fucking go 😂

Engagement when collected

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under games & playable demos. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the games & playable demos page.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post