Advise clients on career decisions

Advise clients on career decisions — real work, not an imagined feature: named inside 4 evidenced career tasks. Below are four ready AI prompts for it, one per height of help: do it, make it easier to accept, decide when you are stuck, and change the pattern for good.

4career tasks name it
4prompt heights

The four heights

The same task, four distances: today's deadline, the next reviewer, the stuck moment, the pattern.

Execute — do the immediate task

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A junior client called me this morning: they have two offers in product roles, one at a small…
A junior client called me this morning: they have two offers in product roles, one at a small startup and one at a large firm, and want a short memo I can email them today comparing likely compensation trajectory, learning curve, and exit options. Use their current title, three years’ experience, and that they prefer engineering-adjacent roles.

Improve — make it easier to accept

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Before I send the career advice note to the client, make it easy for them to act: put the three…
Before I send the career advice note to the client, make it easy for them to act: put the three trade-offs up front, show a two-line scenario for compensation and exit in year three for each role, and flag the single piece of missing info that would change my recommendation.

Decide — diagnose the stuck moment

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The client just accepted a startup offer and called worried about growth and stability. They have…

They accepted the small startup offer and asked me if they made a mistake

The client just accepted a startup offer and called worried about growth and stability. They have three years’ experience, care about learning product skills, and didn’t negotiate equity. What is the most likely practical outcome in their first 18 months, what immediate steps should they take to preserve options, and what warning language should I give them so they can sleep tonight?

Become — change the pattern

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Over the last year several clients accepted offers without negotiating equity or vesting terms and…

Clients repeatedly sign too fast and later regret equity terms

Over the last year several clients accepted offers without negotiating equity or vesting terms and came back unhappy six months later. Where are we losing leverage in offer coaching, what one simple habit would improve later satisfaction, and how should I change our pre-offer checklist to catch this earlier?

Where the evidence lives

Who was seen doing this, and what people really ask.

Software tasks in the LLOS Work Atlas come from evidence, never a feature list: careers attested to do the work, real job descriptions, and the questions people actually ask (with their view counts). Facets — feature, workflow, troubleshoot, administer, deploy, scale — are open metadata: the work decides, not a taxonomy.
Copyright © LLOS.ai · 2026 — original pedagogy, voice, and design — all rights reserved.

The rest of the map

Same library, five ways in.