Learning Path

The AI Skills
Learning Path.

Four distinct modes of working with AI — Search, Prompt, Workflow, System.
See what each is for, where you already work well, and how to build range across all four.

Each mode is a distinct way of working — not a step you leave behind. Pick a mode to see the four stages of capability within it — Beginning, Developing, Consistent, Advanced — and a practical next move at each stage.

Not sure where you stand? Take the 3-minute AI Skills Diagnostic — it opens each mode at your assessed stage.

1 Beginning
Starting point
Beginning-stage engagement. Interactions are one-off, situational, and without structure or reuse. Single-use interactions with no reuse, evaluation, or structure.
Opportunities
Deliberate practice to build consistent application across recurring situations.
Next steps1 Beginning
The first move is not a new tool — it is a new habit. Before your next AI session at this level, write one sentence describing what a useful output would do for you. That sentence is the beginning of structured interaction.
2 Developing
Starting point
Consistent but not yet reliable engagement. Works on familiar tasks; breaks on new or complex ones. Inconsistent application — familiar tasks succeed, unfamiliar ones fail.
Opportunities
Deliberate repetition across varied situations to build reliability.
Next steps2 Developing
You are getting usable results but rebuilding your approach each time. The next move is to write down the three steps that produce your best outputs and run them deliberately on the next unfamiliar task.
3 Consistent
Starting point
Reliable execution across a range of situations. Skill is present but not yet systematized. Strong execution but limited systematization — skills exist, reusable structures do not.
Opportunities
Turning reliable capability into documented, repeatable assets.
Next steps3 Consistent
Reliable capability without documented structure is fragile — one unfamiliar context and you are improvising. The next move is to capture your best AI interactions as a reusable template: inputs, steps, and what a good output looks like.
4 Advanced
Starting point
Strong mastery; applicable across new and complex situations. The growth edge shifts from skill-building to repertoire management. Risk of over-systematizing, or defaulting to system-level thinking when a simpler approach fits.
Opportunities
Repertoire mastery — knowing when to search, prompt, workflow, or systematize.
Next steps4 Advanced
At this level the growth edge is not adding capability — it is knowing when each level is appropriate. Audit one area where you are over-systematizing and one where you are under-structuring.
See the 11 Prompt briefings →
1 Beginning
Starting point
Beginning-stage engagement. Interactions are one-off, situational, and without structure or reuse. Single-use interactions with no reuse, evaluation, or structure.
Opportunities
Deliberate practice to build consistent application across recurring situations.
Next steps1 Beginning
The first move is not a new tool — it is a new habit. Before your next AI session at this level, write one sentence describing what a useful output would do for you. That sentence is the beginning of structured interaction.
2 Developing
Starting point
Consistent but not yet reliable engagement. Works on familiar tasks; breaks on new or complex ones. Inconsistent application — familiar tasks succeed, unfamiliar ones fail.
Opportunities
Deliberate repetition across varied situations to build reliability.
Next steps2 Developing
You are getting usable results but rebuilding your approach each time. The next move is to write down the three steps that produce your best outputs and run them deliberately on the next unfamiliar task.
3 Consistent
Starting point
Reliable execution across a range of situations. Skill is present but not yet systematized. Strong execution but limited systematization — skills exist, reusable structures do not.
Opportunities
Turning reliable capability into documented, repeatable assets.
Next steps3 Consistent
Reliable capability without documented structure is fragile — one unfamiliar context and you are improvising. The next move is to capture your best AI interactions as a reusable template: inputs, steps, and what a good output looks like.
4 Advanced
Starting point
Strong mastery; applicable across new and complex situations. The growth edge shifts from skill-building to repertoire management. Risk of over-systematizing, or defaulting to system-level thinking when a simpler approach fits.
Opportunities
Repertoire mastery — knowing when to search, prompt, workflow, or systematize.
Next steps4 Advanced
At this level the growth edge is not adding capability — it is knowing when each level is appropriate. Audit one area where you are over-systematizing and one where you are under-structuring.
See the 9 Workflow briefings →
1 Beginning
Starting point
Beginning-stage engagement. Interactions are one-off, situational, and without structure or reuse. Single-use interactions with no reuse, evaluation, or structure.
Opportunities
Deliberate practice to build consistent application across recurring situations.
Next steps1 Beginning
The first move is not a new tool — it is a new habit. Before your next AI session at this level, write one sentence describing what a useful output would do for you. That sentence is the beginning of structured interaction.
2 Developing
Starting point
Consistent but not yet reliable engagement. Works on familiar tasks; breaks on new or complex ones. Inconsistent application — familiar tasks succeed, unfamiliar ones fail.
Opportunities
Deliberate repetition across varied situations to build reliability.
Next steps2 Developing
You are getting usable results but rebuilding your approach each time. The next move is to write down the three steps that produce your best outputs and run them deliberately on the next unfamiliar task.
3 Consistent
Starting point
Reliable execution across a range of situations. Skill is present but not yet systematized. Strong execution but limited systematization — skills exist, reusable structures do not.
Opportunities
Turning reliable capability into documented, repeatable assets.
Next steps3 Consistent
Reliable capability without documented structure is fragile — one unfamiliar context and you are improvising. The next move is to capture your best AI interactions as a reusable template: inputs, steps, and what a good output looks like.
4 Advanced
Starting point
Strong mastery; applicable across new and complex situations. The growth edge shifts from skill-building to repertoire management. Risk of over-systematizing, or defaulting to system-level thinking when a simpler approach fits.
Opportunities
Repertoire mastery — knowing when to search, prompt, workflow, or systematize.
Next steps4 Advanced
At this level the growth edge is not adding capability — it is knowing when each level is appropriate. Audit one area where you are over-systematizing and one where you are under-structuring.
See the System briefing →