How Jev Turns AI Into Software That Gets Things Done
Diogo Almeida, founder of Typesafe, talks with a16z about why AI automation has largely failed and how his tool Jev embeds decision-making directly inside software.
The gist
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Coding agents just write code faster, while Jev expands what software can do by putting AI judgment into the guts of a program.
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Jev works like a classifier you call with natural language and a state machine, returning probabilistic outputs with confidence levels.
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Almeida says reliable AI automation means consistent and robust outputs, not perfection, and the goal is developers trusting Jev without needing example queries.
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Existing SaaS companies are well placed to win by investing upfront to automate known workflows and deliver more useful products to their whole customer base.
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2:12
Jev
· "TypeSafe is making AI for software. We want to make AI powerful not just for humans in the loop, but to..."
3:06
Claude Code
· "I like Claude Code and Codex. I love the description from Gary Tan on them — it's just-in-time software...."
3:06
Codex
· "I like Claude Code and Codex. I love the description from Gary Tan on them — it's just-in-time software. If..."
4:35
Cursor
· "If you use something like Claude Code or Codex, which is great, or Cursor, which is great, they write code..."
11:55
Google Brain
· "And then Google Brain for a while."
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