Assessment

What is Superpowered Professional

Methodology glossary: four levels of working with AI, four styles of creating value, the next step, and the role of SP Score.

Superpowered Professional is a model that describes how someone works with AI today and where they can move next.

It has four parts:

PartThe question it answers
LevelHow much is AI part of the work?
AI work styleHow does the person most often create value with AI?
Growth EdgeWhat will help them move forward now?
SP ScoreWhere do they stand inside their level?

#Four levels of working with AI

Level is the main assessment result. It does not say what a person is worth. It says how they use AI at work today.

LevelIn plain language
AI ExplorerTries AI and looks for where it helps
L1 OperatorUses AI regularly in everyday work
L2 BuilderBuilds their own workflows, templates, assistants, or tools
L3 TransformerAI changed how they do an important part of work

#AI Explorer

An Explorer tries individual tasks. They may use AI for summaries, draft text, ideas, or quick questions, but it is not yet a stable working habit.

Next step: find one recurring task where AI creates clear value every week.

#L1 Operator

An Operator uses AI regularly. They can provide context, refine instructions, and iterate on the output. AI is no longer an experiment, but a normal part of work.

Next step: save the workflows that work, so they do not start from zero every time.

#L2 Builder

A Builder creates repeatable workflows. That can mean templates, assistants, simple tools, prototypes, or data processing. What matters is that AI no longer solves only one task, but returns into the working system.

Next step: share or extend the workflow so it has impact beyond their own work.

#L3 Transformer

A Transformer has changed how an important part of work is done. It does not have to be a whole company or a management role. An individual contributor can be L3 if they fundamentally rebuilt a key working cycle around AI.

Next step: improve the system, spread it further, and look for other areas where AI changes the default way of working.

The goal is not for everyone to become an L3 Transformer. The goal is to find the relevant next step for a specific role and body of work.

#Four AI work styles

Alongside the level, we also look at how someone most often creates value with AI.

StyleWhat is typically createdHuman version
Visiondirection, opportunities, prioritiesFinds new possibilities and decides where to look
Intelligenceunderstanding, arguments, decisionsThinks, analyzes, and decides with AI
Creationtexts, decks, prototypes, draftsCreates concrete outputs
Leveragetemplates, workflows, systemsTurns repeated work into a system

This is not a personality typology. A person is not "Creation". It only means that, in this period, creating concrete outputs is the strongest signal in their AI work. When work, tools, or habits change, the style can change too.

#Growth Edge

Growth Edge is the capability or direction most likely to move someone forward now.

It is not a weakness. It answers the question: "What is worth trying next so work with AI moves one level further?"

Examples:

  • Someone creates good outputs but starts from scratch every time. Growth Edge: turn it into a repeatable workflow.
  • Someone analyzes well but rarely turns insight into an output. Growth Edge: use AI to help create a concrete artifact.
  • Someone builds systems but mostly optimizes current work. Growth Edge: look for new opportunities where AI can change the whole way of working.

#SP Score

SP Score is a baseline numeric measure. We do not use it as the main result or as a grade.

The main result is the level. SP Score shows where the person stands inside that level. It is most useful in repeated measurement, because it can show progress even when the level name has not changed yet.

#What the methodology is not

  • It is not a personality typology.
  • It is not a test of tool knowledge.
  • It is not a grade for a person.
  • It is not an "AI horoscope."

When the evidence is weaker, we phrase the result more carefully. We would rather say "so far it looks like" than pretend to have certainty we do not have.

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