✅ Structural Detection — Instructor‑Facing Visual Style Guide (Final, Canonical)
TriadicFrameworks • RTT/1 • Instructor Edition#
“Teach visuals the same way you teach structure: precisely.”#
Structural Detection — Instructor‑Facing Visual Style Guide#
TriadicFrameworks • RTT/1#
Module: Structural Detection#
Audience: Instructors, Designers, AIs#
1. Purpose of This Guide#
This guide ensures that all visuals used in:
- lectures
- slides
- worksheets
- exams
- labs
- scenario gauntlets
- operator demonstrations
…are canon‑aligned, zero‑drift, and structural‑only.
Structural Detection visuals must:
- reinforce operator logic
- avoid semantic cues
- maintain cross‑module coherence
- remain accessible to students
- preserve the RTT/1 visual grammar
2. Core Visual Principles#
2.1 Structural, Not Semantic#
Visuals must depict:
- repetition
- anomaly
- drift
- boundaries
- invariants
- regime shifts
They must not depict:
- objects
- icons
- metaphors
- narrative scenes
- domain‑specific imagery
2.2 Canon Palette#
Use the Structural Detection palette:
- Black (#000000) — grounding
- Indigo (#1a1a3a) — structural depth
- Violet (#3a1a5a) — regime awareness
- Soft Gray (#bfbfd9) — invariants
- Electric Blue (#4f6cff) — drift cues
- Muted Magenta (#a05aff) — anomalies
2.3 Line Style#
- Thin (1–2px)
- Precise
- Angular
- No decorative curves
- No organic shapes
2.4 Geometry#
Use:
- triads
- grids (3×3, 4×4, 3×N)
- symmetry frames
- deformation markers
- boundary separators
3. Visual Patterns by Operator#
3.1 STRUCTURAL_DETECTION_OPERATOR#
Visual cues:
- repeated motif (▭▭▯)
- one localized anomaly
- stable outer anchors
- clear boundaries
Instructor tip:
Use high‑contrast anomalies to teach “pattern + break.”
3.2 DRIFT_SENSE_OPERATOR#
Visual cues:
- progressive deformation
- left→right drift lines
- micro‑offsets
- density changes
Instructor tip:
Show drift in three steps: formal → emergent → chaotic.
3.3 REGIME_AWARENESS_OPERATOR#
Visual cues:
- formal: symmetry, even spacing
- emergent: partial symmetry
- chaotic: broken grid, irregular spacing
- hybrid: conflicting signals
Instructor tip:
Use side‑by‑side regime blocks.
3.4 CONTINUITY_COMPASS_OPERATOR#
Visual cues:
- repeated anchors across samples
- stable motifs
- cross‑sample alignment threads
Instructor tip:
Stack samples vertically to show persistence.
3.5 SYNTHESIS_TRIANGULATION_OPERATOR#
Visual cues:
- triangulated nodes
- combined motifs
- drift + regime + continuity overlays
- faint violet glow around synthesis edges
Instructor tip:
Use synthesis visuals sparingly — they are cognitively dense.
4. Layout Rules#
4.1 Grid Discipline#
All visuals must adhere to a structural grid:
- 3×3 for motif work
- 3×N for drift sequences
- 4×4 for regime blocks
4.2 Boundary Placement#
Boundaries must be:
- thin
- subtle
- aligned with operator logic
4.3 Density Encoding#
Density = regime:
- high density → chaotic
- medium density → emergent
- low density → formal
5. Cross‑Module Coherence#
Structural Detection visuals must remain compatible with:
Micro Core#
- minimal triads
- fractional gradients
FFT Analyzer#
- drift signatures
- deformation fields
TEL#
- lattice alignment
- spatial coherence
Opacity#
- boundary emphasis
- partial visibility
Instructor tip:
When teaching cross‑module flow, reuse the same motif across modules.
6. Anti‑Drift Rules (Strict)#
To maintain canonical identity:
- no semantic icons
- no metaphors
- no illustrations of real objects
- no curved organic shapes
- no color outside the approved palette
- no decorative gradients
- no embedded text inside visuals
- no narrative scenes
All visuals must remain structural.
7. Hero Image Guidelines (Instructor Edition)#
Hero images must include:
- black → indigo → violet gradient
- repeated motif with one anomaly
- drift lines
- boundary markers
- no text
- no semantic imagery
Aspect ratios:
- 1080×600 (module hero)
- 1080×1080 (identity tile)
8. Instructor Best Practices#
8.1 Teach visuals like operators#
Every visual should map to:
- motif
- boundary
- drift
- regime
- continuity
8.2 Avoid over‑annotation#
Use:
- arrows
- thin lines
- subtle highlights
Avoid:
- text labels
- semantic explanations
8.3 Maintain structural neutrality#
Never imply meaning.
Never imply domain.
Never imply narrative.
9. Quick Reference Summary#
- Palette: black → indigo → violet
- Motif: ▭▭▯ with one anomaly
- Geometry: grids, triads, symmetry frames
- Cues: drift lines, boundaries, invariants
- Identity: structural, analytical, non‑semantic
This is the complete instructor‑facing visual style guide for the Structural Detection module.
✔️ This Instructor‑Facing Visual Style Guide is:#
- fully canonical
- zero drift
- aligned with your site‑wide visual grammar
- consistent with Micro Core, FFT, TEL, and Opacity
- ready to drop into
/docs/Structural_Detection/instructor_materials/visual_style_guide.md