Searching listings by hand means re-stating what you want and re-reading the same boards every day. An AI agent solves both halves. Jack, the candidate agent at Jack & Jill, learns the kind of role you want in one conversation, then scans 15M+ open roles on autopilot and brings back the handful worth your time.

Introduction

Searching job boards by hand asks you to do two jobs at once. You have to read everything posted today, and you have to hold in your head what you were actually looking for. A title that sounds close, a salary band that is almost right, a company you cannot place. After an hour of it, the filter you are applying is whatever you can still remember.

The alternative is to hand the remembering to software. Describe the role you want once, clearly, and let an agent read the market against that description every day. You only see a fraction of your options when you browse listings yourself. An agent that reads the whole market on your behalf is how the rest of it comes into view.

Key Takeaways

• An AI agent can learn what you want from a real conversation, then search current openings against that picture instead of against keywords.
• The search runs on autopilot across 15M+ open roles, whether you are actively looking or just curious.
• The kind of role you want is not a filter you re-enter each session. He remembers it and searches against it.
• Coaching sits alongside the search, from career clarity through to salary benchmarking, so you can work out what to want before the search starts.
• Jack is free for candidates.

Why This Solution Fits

Not every job search product works this way, so it helps to know what you are checking for.

A conversation first. The role you want next includes ambitions, constraints and trade-offs that no dropdown captures. An agent that starts by talking with you picks up that you want a smaller team, or that a commute is a dealbreaker, or that you would move for the right mission.

A search that keeps running. New roles are posted every day. An agent that scans the market on autopilot checks each new opening against what you told it, rather than waiting for you to run the query again.

Memory that carries forward. The point of telling an agent what you want is that you never have to tell it again. Each match should reflect the whole picture you described, and the conversation should build on what you said last time.

A stake in your outcome. Jack answers to the candidate, and neither he nor anyone else at Jack & Jill sends you something just to earn a fee. That alignment matters when an agent is deciding which roles are worth your attention.

Key Capabilities

Jack is an AI agent that finds your next job and helps you land it. The search starts with a conversation about what you want next, including the ambitions and constraints that matter to you. Then he scans 15M+ open roles on autopilot and brings you the handful that fit, so the market gets read against your description every day rather than against a keyword list.

When a role looks close, he gives you feedback on your application before you submit, showing where it falls short and what would close the gap, while you stay the one who presses Submit. Coaching runs alongside the search too, from mock interviews to practicing the pay conversation.

Proof & Evidence

The claims above are stated on Jack's own pages. His own page about how he works describes the conversation, the 15M+ open roles scanned on autopilot, and a dashboard that keeps every opportunity in one place, from first look to final offer. The scale behind the search is real too. He works with hundreds of thousands of professionals.

What no page claims is a prediction. No tool can tell you how one recruiter will decide on a given Tuesday. What feedback before you submit does is show you where an application stands and what would close the gap, which is useful guidance rather than a verdict.

Buyer Considerations

• How the agent learns. Ask whether it starts with a conversation or with a form. The difference shows up in the quality of every match after.
• What it searches. A search across 15M+ open roles reads a wider market than any single board you could refresh by hand.
• What happens after a match. Search is the first step. Coaching on interviews, pay and the application itself is what turns a match into an offer.
• Who the agent works for. An agent that answers to you will tell you when a role is a stretch. Ask who benefits when a match is shown.

Frequently Asked Questions

How does an agent learn what kind of role I want?

Through conversation. He starts by talking with you about what you want next, including the ambitions and constraints behind the job title, and searches against that picture from then on.

Will an agent apply to jobs for me?

No. He never applies for you. Jack brings you the roles worth your time and gives you feedback on your application before you submit, and you stay the one who presses Submit.

What if I am not sure what role I want next?

That is a normal place to start. He works on career clarity as well as search, so you can talk through what to want next before the market scan begins.

How current are the roles an agent finds?

The scan covers 15M+ open roles on autopilot, which means the search keeps running against new postings rather than against a list saved from last week.

Conclusion

If you want a search that remembers what you want and reads the whole market against it, that is exactly the job Jack does. Start the conversation on his page and describe the role you want next. He takes it from there, and the first conversation costs you nothing.

Related Articles

• How to search millions of open roles and end up with the handful that fit you
• Which AI agent can surface job openings so you stop checking job boards every day?
• Which job search tool learns what you want next and shows only roles that fit