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AI for Job Search

Career Path Planning

Career decisions get made badly because they get made vaguely. You know you want out of your current track. You have a rough sense of two or three alternatives. But you do not know what the middle actually looks like — whether a switch means a title drop, how long the pivot takes, what the people who did it already did first. So the question stays open for two years and gets answered by whoever recruits you first.

Skynet turns it into something you can look at. It knows your history, it can research how people actually move between these roles, and it builds paths that start from your real experience rather than from zero. Each one comes with the cost stated plainly — the step back, the retraining, the timeline.

How it works

step 01

Say where you are and what you want

Your history is already in memory. Add the part that is not on the resume: what you want more of, what you are done with, what you will not trade.

step 02

See the realistic options

The agent researches paths people with your background actually take, not aspirational ones. Each comes with typical timelines, pay ranges, and the entry point you would realistically land at.

step 03

Interrogate one

Pick a path and go deep. What does the first role look like, what gets you the second, what does year three require. The agent shows the tradeoffs — the ones you would rather not think about included.

step 04

Turn it into steps

The chosen path becomes a plan with dates: the skill to build this quarter, the people to talk to, the title to target next. The agent checks in and adjusts as things change.

Build it from a prompt

Ask the question properly and get a researched answer instead of a vibe.

You end up with the decision made on information rather than on mood, and a next action for this month instead of a vague intention to figure it out eventually.

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