Flux Agent

Motion in Code — AI Agents & Digital Flows

Let’s read the signature of Motion in the digital world: goal → plan/contact → integrate → repeat (bounded). The playground below simulates the metrics S (steps), ρₜ (tool density), κ (coherence), τ (latency) and Θ (phase indicator). For production, it will connect to Firebase Functions and real logs.

Docs Protocol

Agent Playground

Live Metrics

S
Steps
0
ρₜ
Tool Density
0.00
κ
Coherence
0.00
τ
Avg Latency
0
Θ
Phase
0.00
Threshold ≈ 0.80 — when crossed, system stops gracefully (fail-soft).
ρₜ ↑ & κ stable → healthy exploration (3rd Law dominant)
ρₜ ↑ & κ ↓ & τ ↑ → clustering risk (2nd Law trap)
Θ ↑ → approaching regime change; limit steps or inject diversity

Logs


      
In production each step and tool call will be written to Firebase; UI will stream updates
        here.

    


    

      
Integration TODOs

      
      

        
      

    

  


  

    

      
Definitions

      
    

    

      
Design Principles

      
    
        
  1. Bounded Motion: limit steps & tool privileges.
    2. 
        
  2. Transparent Contacts: every tool call observable & attributable.
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  3. Right-Sized Diversity: enough exploration to escape traps without breaking trust.
        
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  4. Fail-Soft: stop early / summarize when Θ rises.
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  5. Human-in-the-Loop: oversight at thresholds.
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