If you’re building autonomous AI agents, using a 70B parameter generative model for simple classification or boolean routing is like using a space shuttle to go to the grocery store.
It’s slow (3,000ms+), expensive ($$$), and prone to hallucinating text.
Meet **TypeSafe Jev** — a new “System 1” judgment engine that outputs ZERO text prose and returns 100% calibrated decision probabilities in under 70ms.
Here is what you will learn in this 20-slide deep dive:
1️⃣ System 1 vs System 2 thinking in AI software architecture
2️⃣ Why Jev has NO chat box (Zero text output = Zero hallucination)
3️⃣ The 3 Decision Primitives: Choice, Score, and Noul
4️⃣ How RLCD (Reinforcement Learning for Calibrated Decisions) works
5️⃣ Building automated safety gates with confidence thresholds
6️⃣ How to pair Jev with Claude Code for the ultimate hybrid agent stack
SWIPE through all 20 slides to master the modern AI agent stack! ➔
📌 **Save this post** for your next AI agent build.
♻️ **Repost** to help your engineering network build faster, cheaper AI systems.
➕ **Follow @devengoratela** for daily practical AI breakthroughs and automation frameworks.
#AIAgents #ClaudeAI #TypeSafeJev #SoftwareEngineering #ArtificialIntelligence #Python #TechInnovation #Automation #MachineLearning
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