S.P.A. / SAEDI — ED Design Rules & Asset Control
Overview
This document defines the technical art rules, visual system, and asset control framework for Employment Droid (ED) production.
The goal is to ensure:
- Consistent visual language across all EDs
- Scalable asset generation without combinatorial explosion
- Deterministic rendering and derivation of badge states
- Predictable production workflows aligned with seasonal rollout
This document governs how ED visuals are built, not how they behave.
Core Principle
ED visuals do not express emotion.
ED visuals represent the state of execution.
Each scene presents one of two valid realities:
- Composed — structured, aligned, intentional
- Disrupted — incomplete, chaotic, or misaligned
Both states must remain:
- Non-judgemental
- Visually engaging
- Contextually relevant
Visual System Structure
Each ED render is composed of:
- Droid Model (ED1–ED6)
- Pose (daily operational state)
- Seasonal Variant (environment/theme)
- Badge State (achievement display)
Daily Pose System (4 Core States)
Each ED model must support four base poses.
1. Composed / Stable
Balanced posture, clean silhouette.
Represents:
- Completion
- Readiness
- Alignment
2. Disrupted / Attention Required
Subtle imbalance or environmental inconsistency.
Represents:
- Missing inputs
- Incomplete workflows
- Required action
3. Baseline / Processing
Neutral, symmetrical posture.
Represents:
- Routine activity
- Ongoing shifts
- Standard operations
4. Momentum / Engagement
Forward-leaning, active stance.
Represents:
- High engagement
- Meaningful tasks
- Forward progress
Seasonal Variant System
Seasonal variants modify the environment and presentation of base poses.
Each season includes:
- Composed variant — ideal execution of the theme
- Disrupted variant — imperfect or chaotic execution
Example — Christmas
Composed:
- Full Santa attire
- Perfect tree
- Clean lighting
Disrupted:
- Partial costume
- Tangled lights
- Environmental disruption
Design Rule
The environment communicates the state.
The droid does not express emotion.
Badge System (Early Phase)
Badge states supported:
- No badge
- Single badge (A–E)
Total states: 6
Rendering Strategy
To avoid exponential asset growth, ED visuals are generated using a mask-based derivation system.
Base Renders (Required)
For each:
- Droid
- Pose
- Seasonal variant
Render:
- Base (no badges)
- All badges visible
Mask-Based Generation
Each badge has a predefined mask.
Badge states are generated by:
- Starting from the all-badge render
- Replacing removed badge regions using the base render
Asset Counts (Initial System)
Source Assets
4 droids × 12 pose/season variants × 2 renders = 96 images
Derived Outputs
4 droids × 12 variants × 6 badge states = 288 outputs
Technical Art Constraints
Fixed Badge Zones
- Identical placement per droid and pose
- No overlap between badges
Lighting Isolation
- Badges must not cast shadows
- No glow or lighting interaction with the body
Pixel Consistency
- Base and all-badge renders must match exactly except for badge areas
Camera Lock
- Fixed camera, angle, and resolution across all renders
Production Workflow
For each droid / pose / seasonal variant:
- Apply pose and lock camera
- Render base (no badges)
- Render all badges
- Export badge masks
- Store assets using naming convention
Naming Convention
ED{#}POSE{#}{SEASON}_base.png
ED{#}POSE{#}{SEASON}_all.png
ED{#}POSE{#}{SEASON}mask{badge}.png
Asset Control Strategy
Generation Model
- Assets are generated once per configuration
- Derived variants are cached and reused
- No full permutation rendering
Seasonal Production
Assets are produced in scheduled batches:
- Core poses first
- Seasonal variants aligned to calendar timing
- No out-of-season production
Expansion Path
- Additional droid models (ED5–ED6)
- Multi-badge states (2+)
- Optional animation layers
Visual Philosophy
- EDs support, never judge
- EDs reduce friction, not apply pressure
- ED visuals reflect system state, not user emotion
Summary
The ED Design Rules system ensures:
- Minimal base asset count
- Maximum derived flexibility
- Consistent visual language
- Scalable long-term production
This allows the ED system to grow without increasing complexity or maintenance overhead.