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AI job search strategist — plans that hold up, with limits named.

Generic AI gives generic plans. Ask it for a job search strategy and you get a list of steps that would apply to anyone — update résumé, set up alerts, network on LinkedIn, prepare for interviews. All true, all useless, because everyone already knows. A purpose-built AI job search strategist starts from your specific situation — what you did, what your runway is, what is happening in your industry, what you would not give up — and builds a plan that depends on those inputs. The plan changes meaningfully depending on whether you have two months of runway or twelve, whether you are pivoting industries or not, whether you are willing to relocate, whether you are open to contract work as a bridge. It is also honest about what it does not know. AI cannot tell you the unwritten norms of a specific company's hiring committee. It cannot guarantee that a target role will be open in three months. It can build a plan that holds up under realistic constraints — which is what most generic advice fails to do.

The one thing

Three time horizons, not one to-do list

The strategist generates plans across three time scales — the next sixty days, the medium term, and the longer arc. Splitting the work this way means a hard week does not collapse the entire plan; you can put the longer horizon down and the next sixty days stay legible. Most generic AI plans collapse everything into a single list, which is exactly what someone in week one of a layoff cannot read.

What it is not

The limits, listed up front.

Questions

Common questions

How is this different from asking a generic AI for a job search plan?

Generic AI gives you steps that apply to everyone, which means they apply to no one in particular. The strategist's plans depend on your runway, your industry, your willingness to pivot, and what you would not give up. Two users with different inputs get materially different plans, including which steps come first, what is omitted entirely, and what the realistic timeline is. That specificity is what makes a plan followable.

Can the AI tell me which roles to apply for?

It can suggest role categories that fit your background and constraints, and it can help you evaluate specific postings. It will not tell you that one specific listing is the answer, because that judgement requires context AI does not have — your read on the company, the team, the person who would manage you. The plan helps you target; the application decisions stay yours.

What about networking — does the plan handle that?

Yes, with a clear caveat. The plan includes networking steps appropriate to your situation, including who to reach out to and when. But networking ultimately depends on relationships and luck the AI cannot generate for you. The strategist's job is to make sure networking is in the plan at the right time and that you are using it well — not to promise that any specific outreach will land.

How often does the plan need to be updated?

Significant updates trigger a recalibration — a callback, a no, a runway change, a hard week. Day-to-day, the plan does not need editing; the next steps within it are what move. About once a month or after a major event, the strategist suggests revisiting the medium-term horizon. The longer arc fills in as the situation clarifies, which is usually around the third month for most users.

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