The 6 Sections Explained
Your assessment is structured into 6 distinct sections, each designed to evaluate different aspects of AI fluency. The AI evaluator guides you through each section naturally.
Context & Baseline
The assessment begins by getting your role, context, goals, and baseline experience with AI tools.
What is covered:
- -Your professional background and role
- -Which AI tools you use regularly
- -How long you have been working with AI
- -Your primary use cases for AI assistance
Tip: Be specific about the tools you use. Mentioning ChatGPT, Claude, Copilot, or other specific tools helps establish context for the rest of the conversation.
AI Delegation & Direction
This section evaluates how you hand work to AI and direct it to get reliable results.
What is covered:
- -Task framing, intent, and context setting
- -Providing constraints, examples, and output specifications
- -Iterating on AI outputs to refine results
- -Knowing what NOT to delegate to AI
Tip: Focus on describing the actual prompt or brief you would use for a real task. Explain your choices and how you would iterate if the first result was not quite right.
Technical & Model Literacy
Focuses on your understanding of model behavior, limits, and tradeoffs.
What is covered:
- -Model behavior and context windows
- -Tool use capabilities and when to use them
- -Cost and capability tradeoffs between models
- -Failure modes and how models break down
Tip: You do not need to be a researcher. Practical understanding of how models behave, their limits, and when to choose one over another demonstrates literacy.
Verification & Judgment
Explores your QA structure and judgment around AI outputs and responsible use.
What is covered:
- -Named checks and verification steps
- -Cross-model verification and source tracing
- -Rigor scaled to stakes
- -Responsible use: confidential data handling, disclosure, knowing when not to use AI
Tip: QA is structure, not virtue. Describe your verification process: what specific checks do you run? How do you scale rigor to the stakes of the task?
Practical Implementation & Workflow, Skills, Agents & Harnesses
Evaluates your real workflows, reusable primitives, and harness literacy.
What is covered:
- -Real workflows, not experiments
- -Reusable primitives: saved instructions, skills, templates, automations, agents
- -Harness literacy: tool gating, checkpoints, review gates, tests, monitoring
- -Whether a colleague could run your workflow from documentation
Tip: Think beyond single interactions. Walk through a real recurring workflow. Name something reusable you built. Describe guardrails around agents or automations.
Learning Velocity & Final Synthesis
Closes the conversation by synthesizing what you demonstrated across the assessment.
What is covered:
- -Clarifying final examples or missing context
- -Connecting earlier answers into a coherent skill picture
- -Surfacing strengths, gaps, and practical next steps
- -Wrapping up the assessment cleanly before scoring
Tip: Use this section to make your clearest case. If there is an important example you have not mentioned, this is the moment to add it.
How Sections Flow Together
You will not see explicit section breaks during your assessment. The AI evaluator transitions naturally between topics, and you may not notice when one section ends and another begins.
A progress indicator shows how far along you are, but the conversation itself feels continuous and natural.