The Five Dimensions
Your AI Cred score is calculated from five core competency dimensions, each weighted according to its importance for effective AI fluency.
How Weights Affect Your Score
Your overall score is a weighted average of your performance across all five dimensions. This means improving in higher-weighted dimensions has a larger impact on your total score.
Example: If you score 8.0 in Workflow, Skills, Agents & Harnesses but 5.0 in Technical & Model Literacy, your higher-weighted workflow score contributes more than your technical score to your overall score.
AI Delegation & Direction
How effectively you direct AI: framing tasks, providing context, and steering output.
What We Assess:
- -Task framing and intent clarity
- -Context setting and constraints
- -Providing examples and output specifications
- -Iterative refinement of AI outputs
- -Judgment about what to delegate and what to keep
Why It Matters:
Clear delegation is the foundation. This dimension measures whether you can direct AI effectively across the full range of tasks.
Technical & Model Literacy
How well you understand what models are, how they differ, and what they can and cannot do.
What We Assess:
- -Understanding of model behavior and limits
- -Knowledge of context windows and tool use
- -Cost and capability tradeoffs between models
- -Awareness of failure modes and when models break
- -Practical model selection judgment
Why It Matters:
Technical literacy helps you choose the right tool for the job and anticipate when AI will break. You do not need to be a researcher, but you need to understand how models behave.
Verification & Judgment
How rigorously you verify AI output and exercise judgment before acting on it.
What We Assess:
- -Named verification steps and checks
- -Cross-model verification and source tracing
- -Rigor calibrated to the stakes of the task
- -Responsible use practices (data handling, disclosure)
- -Judgment about when AI should not be used
Why It Matters:
AI produces confident outputs that may be wrong. Verification structure protects you from errors and ensures responsible use in high-stakes contexts.
Practical Implementation
How you apply AI to real work: choosing the right tasks and integrating results.
What We Assess:
- -Real workflows, not toy examples
- -Measurable outcomes and results
- -Integration into existing processes
- -Examples of AI-assisted work that shipped
- -Problem-solving with AI in production contexts
Why It Matters:
Theory is valuable, but implementation determines impact. This dimension separates experimenters from practitioners who deliver real results.
Workflow, Skills, Agents & Harnesses
How you build repeatable AI workflows, skills, and agentic systems around your work.
What We Assess:
- -Reusable primitives you have built
- -Harness literacy: gating, checkpoints, monitoring
- -Whether colleagues can run your workflows from docs
- -How you adapt when models change behavior
- -Strategic thinking about AI systems, not just prompts
Why It Matters:
Single prompts matter, but systems determine leverage. This dimension measures whether you think in terms of reusable infrastructure, not one-off interactions.
Targeting Specific Dimensions
After each assessment, you receive a breakdown of your scores across all five dimensions. This allows you to identify your strengths and target specific areas for improvement.
High-Impact Strategy
Focus on improving Workflow, Skills, Agents & Harnesses for the largest impact on your overall score. Building reusable systems and harness literacy has the highest leverage.
Balanced Approach
Target your lowest-scoring dimensions for quick gains. It's often easier to improve from 4.0 to 6.0 than from 8.0 to 9.0.