TypeSafe AI · System 1 Reflex Engine 70ms - 250ms P99 RLCD Calibrated Probabilities Non-Autoregressive

TypeSafe Jev: System 1 AI Decision Studio

Orchestrate TypeSafe AI's Jev, the pioneering System 1 non-autoregressive decision model (founded by ex-OpenAI researcher Diogo Almeida). Unlike slow, generative System 2 LLMs (Claude 3.7 / GPT-4o), Jev performs immediate, schema-constrained reflex judgements in sub-100 milliseconds with calibrated confidence scores (RLCD), saving up to 99% compute and latency.

⚡ Live Preset Scenarios

One-click benchmark loads

⚙️ Jev System 1 Execution Parameters

0.85 (85%)

If Jev's calibrated confidence is ≥ threshold, execute immediate reflex. If < threshold, escalate to deliberative System 2 LLM.

0.50 (Aggressive Reflex) 0.85 (Recommended SRE) 0.99 (Extreme Conservative)

⚡ Live Jev Reflex Simulator (Interactive)

Ready

Provide arbitrary unstructured state. Run Jev's non-autoregressive forward pass to inspect latency, calibrated score, and decision routing.

End-to-End Latency
78 ms
18x faster than GPT-4o
RLCD Calibration
0.942
High Confidence
Cognitive Route
⚡ SYSTEM 1 REFLEX
ROUTE_DIRECT_API
FinOps Cost
$0.000078
99.35% Savings
Confidence vs Escalation Threshold (0.85) PASS: Retained by System 1
Schema-Constrained Typed Output Non-Autoregressive Result 

            


          

        


      


      
      

        
        
        

          

            

              

                
                
                
              

              

                
              

            

            
            

              
              
              
              
              
              
            

          


          
          

          
        


        
        

          

            
            
          

          

            💡 Architecture Note: Jev delivers sub-100ms decisions without token-by-token stream latency. Pair it in front of heavy reasoning agents to eliminate 90%+ of redundant System 2 token costs.