spect on X: The founder of Jev just dropped a 1-hour masterclass on how Jev actually works
@spectnfa@spectnfalisted 1h agoreviewed by JevThe founder of Jev just dropped a 1-hour masterclass on how Jev actually works LLMs → Decisions → Verification → Coding Agents 0% → 0:40 - why LLMs alone aren't enough 25% → 20:27 - the 3 primitives behind Jev 50% → 26:15 - turning huge AI tasks into tiny reliable decisions 75% → 45:04 - real systems: data, agents, verification 100% → 56:33 - the future of coding agents, memory and subagents Most people are still learning prompts. This explains the layer that decides what the model should do, checks whether it worked, and decides what happens next. Basically: how you go from “AI chatbot” to software you can actually trust to run itself. And it's explained by the guy building it. Bookmark this. Watch the full hour tonight. Then read the guide below and steal the architecture for your own agents ↓ ❤️ 47 likes on X
- Author
- @spectnfa
- Use case
- Benchmarks & Evals
- Added
- 2026-09-25
All figures come from the author. Check the source before you quote them.
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Jev guides for this use case
- Using Jev as a judge for evalsGrading with a decision model instead of a prose-writing judge, and why calibrated confidence is the real prize.
- How Jev sorts a build into one of 21 use casesThe 21 criteria Jev classifies against, published in full, plus what the reviewer sees and how ambiguity is handled.
- Jev statistics: latency, cost, and this directory's own numbersPublished benchmarks with their caveat attached, plus live directory figures that update automatically.
Bid history
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