Think inside your AI world.
How do I only get told about jobs in my field above my salary floor?
Job boards waste your time in one specific way: they show you roles that will not say what they pay, and you find out the salary is below your line only after you have read the whole thing. A jobs feed that actually carries salary data changes that. The point is to see only the roles in your field that clear the floor you set, on your terms.
The construction is a salary-carrying jobs feed plus your own floor. A jobs feed with real salary data is readable on a free key. Your rule is something like “my field, at or above my floor, remote or my city.” Through Unl a role that clears that rule arrives beside it when your search comes up, stamped with when it was posted. Roles that hide or undercut the salary simply never surface; Unl brings the ones that clear your line and ranks nothing.
The person
Someone job-hunting with a firm floor: a minimum they will not go below, a field they work in, and a location or remote requirement. They are tired of reading roles that turn out to pay under their line, and they want the feed filtered to what actually clears it.
The pieces, and how far each one reaches
| Source | What it gives you | Reach today |
|---|---|---|
| Salary-carrying jobs feed | Roles with their field, location and a real salary figure, so a role can be measured against your floor rather than guessed at. | Free with a key. Its value here is that it carries salary data; roles that publish no salary cannot be measured and are treated honestly, not assumed to clear. |
| Your floor and terms | Your salary floor, your field and your location or remote requirement, so the match is a role you would actually take. | Yours; never leaves your frame. |
The honest limit is salary disclosure, not access. The feed is key-cheap and carries salary where the employer published it; roles that hide the salary cannot be measured against your floor, so the page treats those as unknown rather than quietly passing them through. The feed is verified at paste, and Unl ranks nothing; it brings the roles that clear your line and leaves the choosing to you.
The rule, in their words
- “In my field, the work I actually do.”
- “At or above my salary floor, on a real published figure.”
- “Remote, or within the location I will work in.”
The compound is field AND floor AND location, together. A job board shows everything and hides the pay; a keyword alert ignores salary entirely. The rule that a role be in your field AND clear your floor on a real figure AND fit your location is what turns a board full of maybes into a shortlist, and Unl serves the ones that clear it without ordering them for you.
Unprompted
Your AI
One clears the rule you set: my field, at or above my floor, remote or my city. A role posted this week is in your field, lists a salary above the floor you named on a real published figure, and is remote, which meets your location rule.
That is from a jobs feed that actually carries salary, stamped with when it was posted. Roles that hid the pay are not counted as clearing your floor; this is one that genuinely does. Whether to go for it is yours.
The role arrived against the seeker’s own field-floor-location rule, on a real salary figure, with the hidden-pay roles honestly set aside. Whether to apply is theirs.
Why this beats the dashboard
A job board shows every role and hides the pay until you have read it, and a keyword alert ignores salary altogether. Your rule is field AND floor AND location, measured on a real published figure, and it surfaces only the roles that genuinely clear your line, in the moment you are actually looking. Unl serves those and orders nothing; roles that hide the salary are set aside honestly rather than slipped through.
Only seeing jobs above your salary floor is a salary-carrying feed read against your own floor; through Unl a role that meets “my field, above my floor, remote or my city” arrives beside that rule, stamped with when it was posted and honest about roles that hide their pay, and your own floor does the filtering, while Unl serves the roles that clear it and ranks none.
Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
Read further
Questions people ask
How does it know the salary when most jobs hide it?
It uses a jobs feed that carries real salary data where the employer published it, which is the whole point of this construction. Roles that hide the salary cannot be measured against your floor, so the page treats them as unknown rather than quietly passing them through as if they cleared it. The feed is key-cheap and verified when you paste it.
Does Unl rank the jobs for me?
No. Unl brings the roles that clear your rule, your field, above your floor, in your location, beside that rule and stamped with when they were posted, and stops. It does not rank roles or tell you which to apply for; the judging is your own floor and terms, and the decision is entirely yours.
How is this different from a job-board alert?
A job-board alert shows everything and hides the pay until you have read the listing, and a keyword alert ignores salary entirely. Your rule is compound, your field AND a real salary above your floor AND your location, so the reading is a shortlist of roles that genuinely clear your line rather than a feed of maybes you filter by hand.
What if my floor sits above what my field is currently paying?
Then very little clears it, and a quiet feed is telling you something real rather than failing. A floor is a rule about what you will accept, not a prediction about what exists, so the two can genuinely sit far apart for a while. Seeing how much is being filtered out by the floor alone is what turns that silence into something you can act on, whether that means holding the line or moving it.
What this is
Think inside your AI world — you stay in command
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.
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