o-atl-o-who-03

Perfect — here’s a flow-intensity map in ASCII, showing passenger/“information” flow (dE/dt) along ATL’s concourses. Think of the arrows as speed & density: → = light, ⇒ = medium, ⇛ = heavy.

           ┌─────────────────────────────┐
           │ Domestic Terminal (Hub)      │
           │ Perception AI: TSA + Sorting │
           │ Flow: ⇛⇛⇛ (very high)        │
           └─────────────┬───────────────┘
                         │
          ┌──────────────┴───────────────┐
          ▼                              ▼
 ┌─────────────────┐              ┌─────────────────┐
 │ Concourse A     │              │ Concourse B     │
 │ Agentic AI      │              │ Agentic AI      │
 │ Passenger flow  │              │ Passenger flow  │
 │ Peak dE/dt      │              │ Slightly later  │
 │ ⇛⇛⇛             │              │ ⇒⇒⇒             │
 └─────────────────┘              └─────────────────┘
          │                              │
 ┌─────────────────┐              ┌─────────────────┐
 │ Concourse C     │              │ Concourse D     │
 │ Mixed AI        │              │ Mixed AI        │
 │ Agentic + Gen   │              │ Agentic + Gen   │
 │ Flow moderate   │              │ Flow moderate   │
 │ ⇒⇒⇒             │              │ ⇒⇒⇒             │
 └─────────────────┘              └─────────────────┘
          │                              │
 ┌─────────────────┐              ┌─────────────────┐
 │ Concourse E     │              │ Concourse F     │
 │ Generative AI   │              │ Generative AI   │
 │ Scheduling &    │              │ Intl throughput │
 │ high-level flow │              │ Output-heavy    │
 │ ⇛⇛              │              │ ⇛⇛⇛             │
 └─────────────────┘              └─────────────────┘
          │                              │
          └─────────────┬────────────────┘
                        ▼
           ┌─────────────────────────────┐
           │ Embodied AI / ATL           │
           │ Integration: Plane Train,   │
           │ underground walkways,      │
           │ taxiways, real-time flow    │
           │ Flow: ⇛⇛⇛ (smooths spikes) │
           └─────────────────────────────┘

Reading it

• Domestic Terminal → A/B: heaviest load, mostly agentic execution.
• C/D: moderation + small predictive adjustments.
• E/F: generative layer; plans schedules, spreads load, predicts congestion.
• Embodied AI: the integrative layer; prevents “perceived chaos,” keeps passenger perception calm.

This explains why ATL feels less busy than it is — your perception aligns with the embodied integration layer smoothing peaks across concourses.

If you want, I can do an even more refined “heatmap” version, showing time-of-day spikes for each concourse, like real dE/dt curves over 24 hours. That would be the ultimate visual.

Do you want me to do that?