Jev is "Internet" moment for AI: up to 193x faster and 444x cheaper in tests with Claude Fable 5.1 and GPT-6 Astra
Whar is Jev, how to use and unlock its real 100х advantage in my 10-page research:
step 1 → meet Jev: LLM writes, agents act, Jev chooses the next move - split intelligence from execution
step 2 → turn every agent fork into three primitives: Choice selects one route, Score measures a defined scale, Noul returns the probability of yes
step 3 → build before getting access: use TypeSafe’s official adapter with OpenAI, Anthropic or xAI, then swap in Jev without rebuilding the graph
step 4 → setup first Jev: one state, three parallel decisions, risk-based thresholds and a real queue your agents can execute
step 5 → batch decisions instead of serializing them: 13 questions in one call ran 10x faster and 12.2x cheaper than 13 sequential calls
step 6 → place Jev at every bounded fork: choose the agent, model, tool, browser action or human escalation, then read fresh state
step 7 → benchmark the entire loop: Browser Use hit Google Flights in 7.1s, Every ran 777 checks in under 0.7s, Mobile Jev completed 9 actions in 21s
step 8 → rank wide, read narrow: Jev cut wrong Hermes skill loads from 16.8% to 7.3% and pushed legal Top-10 retrieval from 38% to 62%
step 9 → steal a system, not a prompt: Chief of Staff, model router, inbox firewall, research feed, browser controller and safety gate all use State → Questions → Action → Verify
step 10 → keep Jev out of math, writing and irreversible execution: code computes, LLMs create, Jev decides, fresh state proves the result
the result: one slow, expensive agent becomes an always-on decision machine that routes, scores and escalates in milliseconds
Copy the complete 10-page Jev blueprint - then read full 10-step roadmap below ↓
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Forward. Together.
API Update ⚙️
🔹 deepseek-chat → non-thinking mode
🔹 deepseek-reasoner → thinking mode
🧵 128K context for both
🔌 Anthropic API format supported: https://t.co/aZsaEm6MOX
✅ Strict Function Calling supported in Beta API: https://t.co/K9gPXEVuPW
🚀 More API resources, smoother API experience
2/5
I'M BLOWN AWAY.
Andrej Karpathy just explained Software 3.0 at YC.
BIG IDEAS: English is coding. AI is electricity. And, build for LLMs, not just people.
Key takeaways: