Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
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We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than autoregressive chat-tuned LLMs because of the overwhelming success of ChatGPT.
In a launch video now viewed ~40M times (by comparison, GPT4o was 22M, Fable 5 was 15M, Navier Stokes was 74M, and 6 Astra was 137M), Diogo introduced Jev and it immediately took over the AI timeline — we’ll skip full Jev explainers because your favorite AI influencer/educator has probably already done one. We also collected:
* the official patterns and cookbooks you should see first, from Allie
* Jev usecases
* speed based - games and computer use
* the voice + computer use example we discuss at 1h34 mins
* voice + browser control
* The must not miss Doom demo
* Driving cars in games
* Excalidraw
* virtual try-ons
* “Smart Games”/smart NPCs
* guided responses in text messages
* Jev for coding agents has an official guide
* jev for linting
* compacting tool calls
* reasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a followup after the pod for Jev + coding agents, because of his belief that Cache Rules Everything
* Programming Languages built atop Jev (Diogo’s fave)
* Jev for analytics replay and user journey review
* “dark data”
* entity resolution
* natural language search
* “smart software”
* a core goal of Jev is to “disappear into the background” - eg as unremarkable as regex
* Jev as a judge
* Jev memes
* Jev vs LLM capabiltiies
* blending transformers and classifiers
* about the confidence api
* [Jev vs GLiNER](https://x.com/george_onx/statu
