PTENES
TRACK 2

💼 Careers

From theory to practice: diagnose where AI adds the most value in your role, speed up production by iterating quickly, maintain taste and judgment so your name can stand behind the result — and protect your career with multiple income streams from a single passion.

Diagnosismap first Productioniterate quickly Judgmentyour name is on it Protection multiple income streams
4
Modules
24
Topics
~2h30
Duration
Intermediate
Level
Track progress0 of 24 · 0%

Learning path map

Detailed content

2.1~35 min

🩺 Diagnosis: The AI-Native Version of Your Profession

Before automating, map it out. Where does AI add the most value in YOUR role?

What it is:

List everything you do during the week and how much time each task takes.

Why learn:

You can’t automate what you can’t see—the map comes before action.

Key concepts:

Task inventory, time per task, recurrence.

What it is:

Divide the tasks between what only a human can do and what is mechanical and repetitive.

Why learn:

Shows where to delegate to AI without losing what sets you apart.

Key concepts:

Human judgment, mechanical task, delegation.

What it is:

The areas where AI shines today: writing, analysis, summaries, drafts, and search.

Why learn:

Focus your effort where the returns show up faster.

Key concepts:

Writing, analysis, summary, drafting, search.

What it is:

Assess each task by impact and effort to prioritize clearly.

Why learn:

You tackle high-impact, low-effort tasks first—a quick win.

Key concepts:

2×2 matrix, prioritization, quick win.

What it is:

Choose one task with a clear, recurring pain point to start with.

Why learn:

Focusing on one target keeps you from getting spread too thin and finishing nothing.

Key concepts:

One target, a clear pain point, repeatable.

What it is:

Tie success to a number: time saved, tickets, etc.

Why learn:

Without metrics, you don’t know whether AI really helped.

Key concepts:

North Star, single metric, definition of done.

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2.2~35 min

⚡ Speed Up Your Production with AI

Iteration speed is the advantage: whoever iterates faster wins.

What it is:

The faster you run cycles, the more data you collect and the further you get.

Why learn:

Each iteration raises your new baseline.

Key concepts:

Short cycle, data comes back, new baseline.

What it is:

Don’t plan the perfect version—build it rough, see what breaks, and fix it.

Why learn:

The endless PoC kills projects; running it early teaches more than planning.

Key concepts:

Rough prototype, fail early, fix.

What it is:

You calibrate the AI with each iteration, like learning to ride a bike and taking off the training wheels.

Why learn:

The feedback loop is what turns guesswork into reliable results.

Key concepts:

Feedback loop, calibration, gradual autonomy.

What it is:

Tools and habits that help you move faster: shortcuts and voice dictation.

Why learn:

Speaking is usually faster than typing—you iterate more.

Key concepts:

Shortcuts, voice, less friction.

What it is:

Connect each automation to a business metric: tickets/day, appointments/week.

Why learn:

A business metric proves value to decision-makers.

Key concepts:

North Star, business metric, proof of value.

What it is:

Define “done” before you start and stop when you get there.

Why learn:

Without this, the scope grows endlessly and you never deliver.

Key concepts:

Definition of done, scope creep, focus.

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2.3~35 min

🎨 Taste & Judgment

AI produces quickly; your taste decides what deserves to go out under your name.

What it is:

When everyone produces with AI, those with good taste stand out.

Why learn:

The advantage shifts from "knowing how to do it" to "knowing what to choose".

Key concepts:

Taste, differentiation, democratized output.

What it is:

Judgment means clearly deciding what’s genuinely good.

Why learn:

It's what separates work with your brand from generic AI output.

Key concepts:

Judgment, high standards, personal brand.

What it is:

You recognize excellence by studying the best examples in your field.

Why learn:

Without a reference, you don’t know what to ask for or how to evaluate what AI delivers.

Key concepts:

Reference, repertoire, industry standard.

What it is:

AI generates the draft; you take on the role of editor and refine it.

Why learn:

Editing well is where your taste turns into concrete value.

Key concepts:

Editor, draft, refinement.

What it is:

Learn to spot the generic patterns that give AI-generated text away.

Why learn:

Cutting the generic keeps your work credible.

Key concepts:

AI smell, generic, editorial cut.

What it is:

In the end, your name is on the deliverable — the responsibility is yours.

Why learn:

AI speeds things up, but it doesn’t answer for you; the final judgment is yours.

Key concepts:

Authorship, responsibility, final say.

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2.4~40 min

🛡️ Protection & Multiple Income Streams

Your insurance against layoffs: multiple income streams from a single passion.

What it is:

Move from "1 job, 1 income" to stacking multiple income streams at the same time.

Why learn:

AI lets one person do work that used to take five.

Key concepts:

Job stacking, leverage, multiple income streams.

What it is:

Package the same expertise in different ways; don’t become 5 people.

Why learn:

Focusing on one passion prevents burnout from spreading yourself too thin.

Key concepts:

Unique expertise, multiple formats, focused.

What it is:

Post and document your work so people can find it—including AI.

Why learn:

If AI can’t find you, it’s hard to be discovered and recommended.

Key concepts:

Build in public, discoverability, presence.

What it is:

Check the contract, noncompete clause, and disclosure rules before stacking them.

Why learn:

Don’t burn your current job—act ethically and follow the rules.

Key concepts:

Contract, noncompete, compliance.

What it is:

A 90-day roadmap: learn, then measure and show, then scale.

Why learn:

Breaks the transformation into feasible steps instead of a vague promise.

Key concepts:

0-30 learn, 31-60 measure, 61-90 scale.

What it is:

Combine diagnosis, production, and judgment into a resilient career plan.

Why learn:

It’s your insurance policy: less dependence on a single employer.

Key concepts:

Synthesis, layoff-proof career, action plan.

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