Think inside your AI world.
A guideline change, against a standard you follow
Standards bodies revise constantly, across every domain: updated guidelines, amended clauses, superseded versions, most of it in areas you do not touch. What you actually need is the one change that lands on a standard you follow — the guideline your practice is actually built on — and that is a line the feed cannot hold, because the standard you follow is yours.
Read the standards record through Unl and the whole revisions stream arrives measured against the standards you follow — so instead of a stream of updates to track, you get the single change that lands on a guideline your practice depends on, with why it crosses. The one, not the thousand.
What a standards body publishes
A standards body publishes in the open, and there is a lot of it:
- Revisions, amendments and new editions across every domain it covers
- Every change at once, the one that touches your practice beside the ones that do not
- Clauses and guidelines, almost none of which your work depends on
- No idea which change lands on a standard you follow — that context is not in the notice
The line the feed can't hold
Say you follow a standard and named your dependence on it: my practice conforms to this specific guideline; if it is revised in the clause my work relies on, what I do has to change to stay in conformance. That dependence is a decision you made; it is not a field the standards notice models.
The reason the line is yours is the whole point. A standards feed can announce every revision; it cannot know which guideline your practice conforms to, or the clause your work relies on, or that an editorial amendment elsewhere is noise to you while a substantive change to the exact clause you follow is not.
The frame judges the data it is given; it does not verify the source’s accuracy.
The one that crosses
So when a standards body revises the exact clause your practice relies on, it crosses — and the other revisions that cycle do not. Through Unl the answer arrives as a verdict: the standard you follow was revised in the clause your work depends on, so your practice is out of conformance until it changes — here is the revision, read against your practice. Same public record; a decision instead of a digest.
You didn't ask — it was already there
You did not ask for it. The standard you follow was already recorded, so the next time you open Claude the crossing is already in the window — read against the clause your practice relies on, with the reason it cleared it — rather than waiting for you to track the revisions. You author the dependence once; the read applies it every time the standard moves.
The answer comes back measured against what you already decided, and why.
The lane is live and open to this tool today: 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.
Questions people ask
How is this different from a standards alert or a regulatory feed?
An alert fires on the source’s rule — a standard updated, a document reissued. This fires on YOUR rule: the specific standard you follow, the clause your practice relies on, with the reasoning attached. The feed shows you every revision; the measured read shows you the one that puts a practice you actually follow out of conformance, and why.
Do I get pinged the moment a standard is revised?
The capability is that the crossing arrives measured against your practice the next time you are working — it is already in the window, read against the clause you rely on, rather than a stream you monitor. A scheduled push is a separate delivery; what the read guarantees is that when a revision lands on the standard you follow, it surfaces as a verdict against your practice, not as one more update.
Does Unl change anything at the standards body or in my practice?
Unl reads through the standards body’s public revisions, and can write back on your explicit gesture — it never acts as a side effect of a read. The revision is a published notice; the standard you follow lives in Unl; the read joins them and returns a verdict, altering neither.
What if the revision touches clauses I do not rely on?
Then nothing crosses and the cycle passes without costing you a read, which for a standards body publishing a full revision is most of the benefit. Your dependence was specific: the clause your practice actually conforms to. The honest risk is that dependence shifts as your practice does, so a clause that did not matter last year may matter now. That is worth revisiting when your practice changes rather than when the standard does — and it is a revisit only you can do, because only you know what your work now leans on.
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.
MCP native·Human settled·Model agnostic·Your data
Frontier Frame
Connect Unl to watch the world against what you decided.
A crossing arrives when the world bears on your position.
The full product, open. Free at launch.