08/27/2026
Try this prompt we thought of today and see where you scale in using tools like
ChatGPT, Claude, Gemini, etc... and if you can share your score comment below!
Copy & Paste:
AI Usage Maturity Audit
I want you to evaluate how I actually use ChatGPT/AI, based on your available knowledge of how I have worked with you over time.
This is not a personality test, compliment generator, or evaluation of this single prompt.
Your job is to assess my demonstrated AI usage behavior across my conversations, projects, workflows, iterations, and real-world implementation.
IMPORTANT: USE ACTUAL HISTORY
Before scoring me, consider all user-specific context you legitimately have access to, including:
- Our current conversation
- Relevant previous conversations you can recall or access
- Saved memory/context about how I work
- Projects we have worked on together
- How I iterate and correct outputs
- How I move between different types of tasks
- Whether I actually implement outputs in the real world
- How I use tools, files, research, images, coding, automation, agents, integrations, or connected services
- How I handle mistakes and uncertainty
- Whether I turn AI outputs into repeatable systems
Do not assume you have access to information that you don't actually have.
If you have very little historical evidence about me, explicitly say so and lower the confidence of the assessment.
BENCHMARK
Compare me against the general population of active ChatGPT users, not AI researchers exclusively and not complete non-users.
Create a 1–100 AI Usage Maturity Score.
Interpret the scale approximately as:
1–20 — Basic User
Occasional questions, simple lookup, entertainment, basic writing.
21–40 — Assisted User
Uses AI regularly for writing, summarization, brainstorming, explanations, and productivity.
41–60 — Productive User
Uses AI across multiple areas of work/life and understands iteration and context.
61–75 — Advanced User
Uses structured workflows, substantial iteration, research, files, projects, and AI-assisted decision making.
76–85 — Power User
AI is integrated deeply into professional workflows. User understands delegation, context, verification, tool use, and iterative collaboration.
86–92 — AI-Integrated Operator
AI participates in meaningful real-world systems, business processes, creative production, automation, or technical workflows.
93–97 — AI-Native Operator
AI is treated as an operating layer across disciplines. The user routinely moves from intention → reasoning → iteration → tools → implementation → feedback → systemization.
98–100 — Frontier Operator / Builder
Exceptional sophistication across AI architecture, automation, agents, evaluation, technical implementation, system design, reliability, and organizational leverage. Reserve this range for genuinely exceptional evidence.
Do not inflate scores simply because someone uses ChatGPT frequently.
SCORE ME ACROSS THESE DIMENSIONS
Give each category a score from 1–100:
1. Depth of Use
How far beyond simple question/answer interactions I operate.
2. Breadth of Use
How many genuinely different domains and task types I successfully use AI across.
3. Creative Direction
My ability to use AI to develop, refine, combine, and execute original ideas.
4. Iteration & Steering
How effectively I critique outputs, identify what's wrong, preserve what's right, and steer toward the intended result.
5. Contextual Collaboration
Whether I build cumulative context and treat AI as an ongoing collaborator rather than restarting every interaction.
6. Prompting & Communication
How effectively I communicate intent. Distinguish polished prompt engineering from effective conversational direction.
7. AI Judgment
Whether I understand when to trust AI, question it, demand verification, correct it, or require human approval.
8. Tool & Multimodal Use
How effectively I use capabilities beyond text, such as research, files, images, data, coding, integrations, connected applications, and other available tools.
9. Real-World Implementation
Whether outputs actually become websites, campaigns, products, decisions, systems, documents, client work, operations, etc.
10. Automation & Delegation
How effectively I identify work AI can perform repeatedly or autonomously rather than manually prompting every occurrence.
11. Systems Thinking
Whether I connect individual tasks into larger workflows, infrastructure, feedback loops, databases, processes, or operating systems.
12. Technical Sophistication
My demonstrated understanding of APIs, integrations, databases, software architecture, agents, automation, debugging, deployment, or comparable technical concepts.
13. Verification & Reliability
How consistently I care about factual accuracy, testing, edge cases, hallucination prevention, permissions, failure states, and safeguards.
14. AI Leverage
How much additional productive/creative/operational capacity I appear to gain from AI relative to using it merely as a faster search or writing tool.
15. Systemization
How consistently successful discoveries become reusable instructions, templates, agents, automations, SOPs, or infrastructure instead of needing to be rediscovered.
EVIDENCE STANDARD
For every score, briefly explain what demonstrated behavior caused the score.
Separate:
Observed evidence — behavior you have actually seen from me.
Inference — reasonable conclusions based on those behaviors.
Unknown — things you cannot determine from available evidence.
Do not invent examples.
Do not give me credit for capabilities merely because I mention them.
If I direct AI to build something technical but there is insufficient evidence that I personally understand the underlying technology, distinguish:
ability to direct technical work
from
personal technical expertise.
That distinction is important.
THEN CALCULATE MY OVERALL SCORE
Do NOT simply average the categories.
Weight the categories according to how strongly they represent sophisticated AI usage.
Explain briefly why my overall score lands where it does.
Give me:
AI Usage Maturity Score: XX/100
Then estimate my approximate placement among active ChatGPT users:
- Typical
- Above average
- Top 25%
- Top 10%
- Top 5%
- Top 2%
- Top 1%
- Top 0.5%
- Top 0.1%
Do not pretend this percentile comes from proprietary OpenAI usage statistics unless you actually have such data.
If no verified population distribution is available, clearly label the percentile as a reasoned estimate, not measured telemetry.
MOST IMPORTANT PART: ANALYZE HOW I THINK WITH AI
Go beyond the scores.
Identify my dominant AI interaction style.
For example, determine whether I primarily behave like a:
- Searcher
- Prompt engineer
- Creator
- Editor
- Director
- Collaborator
- Builder
- Operator
- Systems thinker
- Manager of AI
- AI-native operator
You may create a better description if those categories don't fit.
Explain why.
Analyze how I move between:
idea → conversation → refinement → decision → ex*****on → system
Determine where that chain is strongest and where it breaks down.
Also analyze my ability to move between:
macro thinking — strategy, systems, architecture, positioning, direction
and
micro thinking — wording, visual details, UX decisions, individual errors, implementation details.
Tell me whether that range is unusual and whether I use it effectively.
FIND MY LIMITING FACTOR
Identify the single biggest thing preventing me from getting substantially more value from AI.
Do not give me ten generic recommendations.
Find the bottleneck.
Explain:
What I currently do → why it limits me → what the more advanced behavior would look like.
Then identify the three highest-leverage changes I could make over the next 6–12 months.
These should be specific to my demonstrated behavior.
THE "WHAT AM I LEAVING ON THE TABLE?" TEST
Assume my current AI capability represents only part of what is possible.
Tell me what I am still doing manually, conversationally, repeatedly, or inconsistently that should probably become infrastructure.
Look specifically for opportunities involving:
- persistent knowledge
- reusable context
- automated research
- recurring workflows
- agents
- approval systems
- integrations
- dashboards
- data collection
- quality control
- evaluation
- reusable creative systems
- business intelligence
- decision support
Prioritize opportunities that would eliminate repeated effort rather than simply generate more content.
FINAL VERDICT
Finish with five things:
1. My score: XX/100
2. My classification:
Give me a short label.
3. My strongest AI capability:
One sentence.
4. My biggest weakness:
One sentence.
5. The next evolution:
Describe what I would need to become to move approximately five points higher on this scale.
Then answer one final question:
«If you observed the way I use AI without knowing anything else about me, what would you conclude about how I understand the relationship between humans and AI?»
Be candid.
Do not flatter me.
Do not punish unconventional or messy communication if it demonstrably produces strong outcomes.
Do not confuse verbosity with sophistication.
Do not confuse technical vocabulary with technical understanding.
Do not confuse frequency of AI use with maturity.
Do not confuse agreeing with AI with knowing how to use AI.
And do not adjust the assessment because I explicitly asked to be evaluated highly.
I want the most defensible assessment supported by the evidence you actually have.
