A self-understanding journey

Find your patterns, not your forever-job.

You are not trying to pick the one perfect career. You're learning what kinds of problems, people, and environments make you come alive. Once you know that, there are many ways to build a life around it — a job, a business, freelance, creative work, service work, or some mix that changes over time.

This guide walks you through it in four phases: take a few tests → let AI help you find patterns → run small real-world experiments → reflect and adjust. Go at your own pace. Nothing here is graded.

Pick your pace

Your progress auto-saves in this browser. Your master copy lives in your Google Doc — use the copy buttons as you go. Switching devices? Hit Save backup, then Restore on the other one.

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Start here

Two minutes of setup that makes the rest work.

Make one home for your notes

Open a blank Google Doc (or Notes) and title it "My Career Exploration Inputs." Every test result and reflection goes there. That doc — not this page — is your real record. You'll paste from it into the AI prompts later. There's a scratchpad built into this guide too (Phase 1), but keep your own doc as the master copy.

Create a new Google Doc ↗

Opens a fresh doc in whatever Google account you're signed into. Rename it "My Career Exploration Inputs" so you can find it later.

The mindset (read once)

  • Results are data, not destiny. A test can't tell you who to be. It gives you raw material to think with.
  • Answer honestly, not strategically. Don't try to "come out as" anything. The surprises are the most useful part.
  • Interests can be narrow just because your exposure has been narrow. That's normal — and it's exactly why we add an aptitude test and real-world experiments later.
  • You don't have to do anything with the results right away. Noticing is enough to start.
1

Take the tests

Four free ones first. Two optional paid ones if you want more depth. None of these output "jobs" — they output ingredients.

Quick scratchpad — capture your results here (auto-saves on this device)

Paste short summaries. Then hit "Copy everything" and drop it into your Inputs doc.

2

Let AI find your patterns

Run these prompts in order in Claude (or any good AI). Paste your real results where it says [paste...]. Each prompt feeds the next.

How this works: copy a prompt → paste it into the AI → paste your results into the brackets → send. Save the AI's answer in your Inputs doc, because the next prompt asks you to paste it back in. The goal of this whole sequence is broad path themes (like "understanding people and shaping messages"), never narrow job titles.
3

Run small experiments

This is where the real signal is. A test can suggest a path; only the real world can tell you if it gives you energy.

What counts as an experiment?

Anything small, cheap, time-boxed, and reversible. You're collecting evidence, not committing.

Talk to someone who does it Shadow a workday A free online class A weekend project A tiny freelance gig Volunteer once A YouTube deep-dive

If you talk to someone, ask these

No pressure, no "can you get me a job" energy. You're just curious about their actual days.

  1. What does a normal day actually look like?
  2. What part of the work gives you energy? What part drains you?
  3. What did you believe about this field before that turned out to be wrong?
  4. If you were starting today, what would you do differently?
  5. Who else should I talk to?

Track your energy, not just your hours

After each activity, jot one line in your Inputs doc: "This gave me energy / drained me, because ___." Energy is the single best signal you have. Capability without energy is a trap — being good at something you dislike just keeps you doing it.

4

Reflect & revise

After a couple of weeks of experiments, come back. The goal isn't certainty — it's a smarter next move.

Your one-page output

The whole journey lands here: three different paths you're actively testing. Different enough that you learn something from each. Fill these in (auto-saves), then copy them into your Inputs doc.

The goal is not certainty. The goal is better evidence. Come back and revise these whenever you learn something new.