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AI for Job Search

LinkedIn Optimisation

Your profile is doing two jobs at once and usually failing both. First it has to appear when a recruiter searches for the role you want — which depends on words you probably never chose deliberately. Then, once someone lands on it, it has about six seconds to say what you do and why you are worth a message. Most profiles open with a job title and a company name, which answers neither question.

Skynet treats the profile as a search surface and a pitch at the same time. It knows your history, it can read how postings for your target role are actually worded, and it rewrites each section against both. Every change comes with the reasoning, so you are approving edits rather than accepting a rewrite you do not recognise.

How it works

step 01

Pick the target

Tell the agent what you want to be found for. The whole profile gets optimised against that, not against your last job.

step 02

Fix the headline and About

The headline is the searchable line and the hook. The About section is the pitch. The agent drafts both in your voice, leading with what you do rather than where you work.

step 03

Rework the experience

Same roles, different emphasis: the projects that point at your target, the outcomes with numbers, the vocabulary recruiters search on. Nothing added that you did not do.

step 04

Keep it current

New project, new certification, new result — tell the agent and it drafts the profile update. The profile stops going stale between job searches.

Build it from a prompt

Say what you want to be found for, and let the agent work backwards from there.

The payoff is inbound. A profile that surfaces in the right searches and reads clearly in six seconds turns your job search into something that partly runs without you opening a job board.

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