03 — 5 Dimensions × 20 Sub-competencies

AI Superpowers

Everyone has a unique combination. We measure 20 sub-competencies across 5 superpowers to reveal your strengths and growth areas.

What It Is

The 5 superpowers are five parallel dimensions of how you relate to AI. Your profile is a shape, not a score. Like a radar chart: some people spike in Perception + Creation, others in Intelligence + Integration. Both are "superpowered" — just differently.

Components

1. Super Perception

Seeing where AI creates value — and the curiosity to look for it everywhere.

#Sub-competencyTypeDefinition
1.1AI CuriosityMindsetThe intrinsic drive to explore and discover new AI possibilities
1.2Opportunity RecognitionSkillIdentifying where AI creates measurable value
1.3AI-Augmented DiscoveryAdditionalInsights through human-AI co-creation
1.4Problem ReframingAdditionalQuestioning the task before executing

Filip's concepts: "AI-First Mindset", "Everything is a prompt"

2. Super Intelligence

Better thinking and smarter decisions through symbiosis with AI.

#Sub-competencyTypeDefinition
2.1Critical TrustMindsetCalibrated trust — when to trust, verify, or override AI
2.2Prompt MasterySkillEffective communication with AI systems
2.3Task DecompositionAdditionalBreaking complex problems into AI-solvable steps
2.4Strategic AI DialogueAdditionalAI as thinking partner — expert panels, what-if, devil's advocate

Filip's concepts: Symbiosis, Expert Panel Simulation, Elon's Algorithm

3. Super Knowledge

Learning by doing and making everything reusable. Infinite memory.

#Sub-competencyTypeDefinition
3.1Iterative LearningMindsetLearning by doing, start imperfect, improve through use
3.2Knowledge ArchitectureSkillOrganizing knowledge for reuse — OHIO principle
3.3Context EngineeringAdditionalPreparing the right context for AI
3.4Knowledge CompoundingAdditionalEvery task improves the whole system

Filip's concepts: OHIO, Compounding Engineering, "Context > Syntax"

4. Super Creation

Creating, building, and shipping at speed. AI does 90%, you craft the 10% that matters.

#Sub-competencyTypeDefinition
4.1Creative CourageMindsetTackling ambitious projects with AI. Ship fast, iterate.
4.2The 90/10 CraftSkillAI does 90%, you refine the 10% to excellence
4.3BuildingAdditionalApps, tools, systems. Vibecoding, citizen developer.
4.4Multi-Format ProductionAdditionalText, presentations, video, audio, design, web

Filip's concepts: "Done is better than perfect", The 90/10 Principle, Vibecoding

5. Super Integration

Designing AI systems and workflows where AI and humans work together.

#Sub-competencyTypeDefinition
5.1Augmentation VisionMindsetAI as partner, not replacement. Thinking in systems.
5.2Workflow OrchestrationSkillChaining tools, designing reusable AI workflows
5.3Process DecompositionAdditionalBreaking problems into AI-solvable components
5.4Collaboration DesignAdditionalDesigning human-AI-human workflows for teams

Filip's concepts: "Sculptor vs. Gardener", PACT Framework

Behavioral Levels (Example: AI Curiosity)

LevelBehavior
1Waits for others to suggest AI use
2Tries AI when recommended
3Regularly experiments with new tools/features
4Proactively explores AI for unexpected domains; teaches others
5"AI-First Mindset" is reflexive — AI is the first thing considered

Each of the 20 sub-competencies has a similar 5-level behavioral scale.

Methodology Notes

Dimension Structure

Each dimension has exactly 4 sub-competencies: 1 Mindset, 1 Skill, 2 Additional.

Dimension Scoring

Dimension_Score =
  (Mindset_sub * 0.30) +
  (Skill_sub * 0.30) +
  (Additional_1 * 0.20) +
  (Additional_2 * 0.20)

Normalized to 0-100.

Sub-competency Scoring

Combined_Score = (L1_Score * 0.30) + (L2_Score * 0.70)

5 Observable Differentiators → Sub-competencies

DifferentiatorPrimarySecondary
Decomposition ReflexProcess Decomposition (5.3)Opportunity Recognition (1.2)
Multi-Tool OrchestrationWorkflow Orchestration (5.2)Building (4.3)
Iteration DepthThe 90/10 Craft (4.2)Prompt Mastery (2.2)
System ThinkingKnowledge Architecture (3.2)Augmentation Vision (5.1)
Problem ReframingProblem Reframing (1.4)AI Curiosity (1.1)

How We Assess It

In the Free Assessment

22 forced-choice items, ~4–5 per dimension. Each pits two positive statements against each other. Output: Top 3 superpowers + initial dimension estimates.

In the Full Assessment

Layer 2 AI conversation scores each response (0–4 with confidence weighting). Language analysis adds modifiers. 8 universal scenarios + domain-specific scenarios probe all 20 sub-competencies.

Output: Full 20-competency radar chart, 5 dimension scores, coaching recommendations.

Open Questions