How to Design a Career with AI: A Step-by-Step Process

Designing a career with AI is not a single conversation. It is a structured process with distinct phases, each requiring different types of AI interaction.

This article walks through that process step by step, with the prompts and decision points you need at each stage.

Step 1: Inventory Your Starting Position

Before you ask AI to help you design anything, give it accurate material to work with. Career AI conversations that produce generic output almost always start with generic input.

Your starting inventory should include:

• Current role, industry, and employer type (startup, enterprise, public sector, self-employed)
• The specific tasks you do most often — not the job title, the actual work
• Skills you use at work vs. skills you have but rarely use
• Any professional activity outside your main role (writing, speaking, advising, building things)
• Constraints: geography, financial runway, time availability, family obligations
• What you’ve already tried or ruled out, and why

Write this out before you open the conversation. Vague input produces vague output.

Starting prompt:

I want to map my current career position accurately before we explore options. Here is my inventory:

[Paste your inventory]

Based on this, help me identify: (1) What type of career thread I'm currently on — is it primarily a specialist track, a generalist track, a management track, or something else? (2) What career capital I've accumulated that would be portable to adjacent roles or industries? (3) Any patterns in the inventory that suggest underutilized assets?

Be specific. Don't summarize what I've told you back to me — add something I might not be seeing.

Step 2: Generate Options Deliberately

Most people approach career design by considering a handful of paths they’re already aware of. AI’s most useful contribution in career design is expanding the option space before you evaluate it.

Option generation prompt:

Based on the career inventory above, I want to generate a broader set of options than I'd come up with on my own. I'm not committing to any of these — I want to see the landscape.

Please suggest 8–10 career directions that my current skills and interests could support. For each one, include: (1) What it would look like in practice (what I'd actually do day to day); (2) What additional skills or credentials it would require; (3) Roughly how long it would take to make a credible move in this direction from my current position; (4) What the compensation range looks like across different formats (employment, consulting, productized service).

Include options that might surprise me, not just obvious adjacent moves.

Review this list with one question: are there options here that create genuine curiosity, or anxiety that feels different from the ordinary resistance to change? Both signals are worth paying attention to.

Step 3: Narrow Using Three Filters

Once you have a broad list, apply three filters before going deeper on any option.

Filter 1 — Skill leverage: Does this direction build on career capital you’ve already accumulated? Or does it require starting from scratch in a domain where others already have years of lead? Newport’s research suggests the latter is rarely necessary — most valuable career moves find non-obvious applications of existing skills in new contexts.

Filter 2 — Market signal: Is there concrete evidence that people pay for what this direction offers? Not theoretical demand — actual job postings, consulting rates, products with customers.

Filter 3 — Energy: Does thinking about this direction produce energy or drain it? This filter is often deprioritized because it feels subjective, but Burnett and Evans found in their Designing Your Life research that sustained energy is one of the most reliable predictors of long-term career success in a given domain.

Narrowing prompt:

I've reviewed the options list. I want to narrow it to 2–3 worth exploring further. Help me apply these filters:

For each option, assess: (1) How much career capital from my current position transfers? (2) What concrete market evidence exists that this work is valued and compensated? (3) What would I actually need to do in the next 90 days to test whether this direction is viable?

Flag any options where you have low confidence in the market assessment.

Step 4: Run a Pre-Mortem on Your Top Option

Before investing in a direction, run a structured failure analysis. This is one of the most practical applications of AI in career planning, and one of the least commonly used.

The pre-mortem process, developed by Gary Klein (and popularized by Daniel Kahneman in Thinking, Fast and Slow), asks you to imagine that a plan has failed and to work backward to identify the most likely causes. It surfaces risks that enthusiasm suppresses.

Pre-mortem prompt:

I'm considering making a significant career move toward [direction]. I want to run a pre-mortem analysis.

Assume it is 24 months from now and this career move has not worked out. I'm earning less, doing work I don't enjoy, or stuck in a direction I can't easily exit.

What are the three most likely reasons that happened? For each reason: (1) How probable is it, given what you know about my situation? (2) Is there a concrete action in the first 90 days that would either prevent it or provide early warning that it's occurring?

Be honest, not encouraging.

The instruction to be honest rather than encouraging is not a stylistic preference — it is a calibration instruction. AI assistants have a natural tendency toward helpful optimism. Explicitly prompting for critical analysis counteracts this.

Step 5: Build the First 90-Day Experiment

Burnett and Evans call the foundational move in career design a “prototype” — a low-cost, real-world test that generates evidence before you commit. The prototype is not a simulation. It is a real action, but scoped small enough that failure is informative rather than catastrophic.

90-day experiment prompt:

I've decided to explore [direction] seriously. I want to design a 90-day experiment that: (1) Requires no more than [X hours per week] alongside my current obligations; (2) Generates real evidence about whether I'd enjoy this work and whether there is market interest; (3) Produces a visible artifact or outcome that could support future credibility in this area.

Help me design the experiment specifically. What would I build, create, test, or do? What is the concrete output at the end of 90 days that tells me whether to invest further?

A useful 90-day experiment is one that produces a decision, not just experience. You should be able to say at day 90: “This evidence points toward continuing” or “This evidence suggests reconsidering.”

Step 6: Build Your Career Portfolio Map

Once you have your first experiment underway, step back and map the full portfolio. You are not just managing one career direction — you are managing a set of threads at different investment levels.

The Career Portfolio framework (detailed in the pillar guide) asks you to categorize your threads as Primary, Secondary, or Exploratory, and to be explicit about how much time and energy each thread is currently receiving versus what it deserves.

Portfolio mapping prompt:

Based on everything we've discussed, help me draft an initial Career Portfolio map. Categorize my threads as:

- Primary (my main income source and deepest current investment)
- Secondary (real competence, some market presence, lower current investment)
- Exploratory (low-commitment experiments and options I'm keeping alive)

For each thread, note: current investment level (approximate percentage of work time), target investment level, and the one action that would most improve this thread's position in the next 6 months.

Step 7: Set a Review Cadence

A portfolio without a review cadence becomes a plan that never gets updated.

Set a monthly 20-minute calendar block for your Career Portfolio review. At each session, bring three questions:

1. What evidence did I gather about any thread this month?
2. Does my actual time investment match my intended allocation?
3. What is one thing I’m avoiding that the portfolio analysis says I shouldn’t be?

AI is useful in this review for the third question specifically. Bring your monthly summary and ask directly:

Here is what I actually did in my career this month: [summary]. Here is what my Career Portfolio plan said I should be doing: [plan].

What am I avoiding? What is the most important action I have not taken?

Start with Step 1 today. Write out your career inventory — not the polished version, the honest one — and run the first prompt. That single session will produce more useful material than months of passive deliberation.

Related: The Complete Guide to AI for Career Design · 5 AI Prompts for Career Design · AI Career Design Framework

Tags: how to design a career with AI, AI career planning, career design steps, career portfolio, career design process