Drishti
दृष्टि — Reality Navigation
Seven questions to see any phenomenon clearly. Case studies bridge to Chaitra's mechanism curriculum.
Perception layer · complements the curriculum
The seven lenses
Same order on every page — predictable, scannable.
- What Exists What is this, really? Separate objects from patterns and agreements.
- What Changes What is stationary vs non-stationary? Find what drifts and what stays stable.
- What Flows What moves? Where are bottlenecks? Trace energy, data, and attention through the system.
- What Learns What updates, remembers, optimizes? Spot feedback loops and stored state.
- What Persists What survives change? Invariants, constraints, and things that outlast noise.
- What Emerges How do simple rules become complexity? Local interactions → global behavior.
- What Will Happen Which futures are becoming likely? Distributions, momentum, and shiftable probabilities.
Featured case studies
One phenomenon, all seven lenses, curriculum bridges included.
- Case study
Blood Circulation
A closed-loop delivery network with a central pump
- Case study
Global Supply Chains
The physical queueing network routing goods across the planet
- Case study
Internet Routing
No center — just routers gossiping paths to neighbors
- Case study
Photosynthesis
The leaf-scale engine feeding every food chain
- Case study
Power Grids
A continent juggling megawatts with nowhere to stash the spare
- Case study
Sleep
The brain's nightly maintenance and memory compiler
- Case study
The Immune System
Billions of cells with no boss, learning who to attack
- Case study
The Office as a Computer
A room that converts energy into information
- Case study
Urban Traffic Networks
Asphalt graphs where cars are packets you can't drop