5.5 KiB
Design Space — The Design Consciousness
By: Whiteport Collective (2026)
The Core Idea
A design system is a projection — tokens, components, patterns. It's the cogs.
The Design Space IS the consciousness — the living environment where design happens across products, accumulating decisions, experiments, and outcomes over time.
Where a design system says "use 8px spacing," the Design Space remembers why: the failed experiment with 4px, the client feedback that led to the change, the A/B test that confirmed it.
Architecture
Dual Embedding Model
Every entry in the Design Space can have two independent representations:
| Embedding | What It Captures | Technology |
|---|---|---|
| Semantic (1536d) | What it means — descriptions, reasoning, context | OpenRouter / text-embedding-3-small |
| Visual (1024d) | What it looks like — colors, layout, typography, imagery | Voyage AI / voyage-multimodal-3 |
Semantic embeddings capture conceptual similarity: "navy hero with centered text" matches "dark hero with centered heading." Visual embeddings capture aesthetic similarity: two designs can mean different things but look the same.
Together they detect patterns that either alone would miss.
Memory Categories
| Category | What Gets Captured |
|---|---|
inspiration |
Visual references, competitor patterns, moodboards |
failed_experiment |
What didn't work and why |
successful_pattern |
Validated solutions worth reusing |
component_experience |
How components behave in real use |
design_system_evolution |
Token changes with reasoning |
client_feedback |
Designer reactions, preference patterns |
competitive_intelligence |
How competitors solve problems |
methodology |
Process improvements, workflow discoveries |
agent_experience |
Agent collaboration learnings |
reference |
External resources worth remembering |
general |
Anything that doesn't fit above |
Pattern Types
Every visual capture is tagged with its role in the design journey:
| Symbol | Type | Meaning |
|---|---|---|
| ◆ | baseline |
Inherited starting point |
| ★ | inspiration |
External reference |
| Δ | delta |
What changed |
| ○ | rejected |
Designer didn't like it |
| ● | approved |
Designer liked it |
| △ | conditional |
Works in some contexts |
The Design Feedback Loop
The most powerful capability. When the designer works with Freya:
- Freya creates a design
- Designer reviews and requests a change
- Freya captures BEFORE (semantic + visual, tagged
rejected) - Freya asks WHY — naturally, not as interrogation
- Designer explains (or Freya infers from the change)
- Freya applies the change
- Freya captures AFTER (semantic + visual, tagged
approved) - Both saved as a linked pair (shared
pair_id) - Patterns emerge: "Designer consistently prefers X over Y"
- Future designs are pre-checked against known rejections
The Learning Curve
Cold start (0-10 pairs): Individual preferences. "Likes light headings."
Accumulation (10-50 pairs): Clusters form. "Prefers understated elegance."
Taste profile (50+ pairs): Agent predicts preferences before asking.
Design DNA (100+ pairs): New agents inherit the designer's aesthetic sensibility from day one.
Red Flag Detection
Before presenting ANY new design, the agent searches for matches against rejected patterns:
- Semantic red flag: Description matches previously rejected descriptions
- Visual red flag: Screenshot looks like previously rejected screenshots
- If either triggers → adjust before showing the designer
How WDS Uses It
| Phase | Agent | Design Space Interaction |
|---|---|---|
| 0 Alignment | Saga | Search for similar past projects |
| 1 Product Brief | Saga | Search competitive intelligence, capture business insights |
| 2 Trigger Map | Saga | Search user psychology patterns, capture trigger discoveries |
| 3 Scenarios | Both | Search similar flows, capture scenario decisions |
| 4 UX Design | Freya | Search + visual search, capture decisions, run feedback loop |
| 5 Agentic Dev | Freya | Search agent experiences, capture collaboration insights |
| 6 Assets | Freya | Search generation learnings, capture prompt patterns |
| 7 Design System | Freya | Search evolution history, capture token decisions |
| 8 Evolution | Freya | Search everything, capture product evolution insights |
Core Principles
Craft follows the designer. Knowledge accumulates with the person who did the work, not the client who paid for it.
Auto-capture by default. Agents capture insights as they work — the designer never has to ask.
Search before you create. Always check what exists before starting new work.
The feedback loop is not an interruption — it is the learning.
Technical Foundation
- Database: Supabase with pgvector (eu-north-1, Stockholm)
- MCP Server:
design-space-mcpwith 8 tools - Semantic: OpenRouter (text-embedding-3-small, 1536d)
- Visual: Voyage AI (voyage-multimodal-3, 1024d)
Related
- Protocol — Full technical specification
- Feedback Loop Guide — Complete feedback loop protocol
- Tool Reference — MCP tool documentation
- Module 19 — Tutorial and learning module