Think inside your AI world.
A breaking change, against the integration you maintain
Release notes are loud by design: dozens of changes per release across an API surface most of which your integration never touches. What you actually need is the one change to the exact endpoint or field you call — the shape you built to, altered — and that is a line the notes cannot hold, because the line is yours.
Read a vendor's release notes through Unl and the whole stream arrives measured against the criterion you ratified — so instead of notes to read line by line, you get the single change that lands on the endpoint or field your integration calls, with the reason it crosses. The one, not the thousand.
What a vendor's release notes publishes
A vendor's release notes are a genuine public good, and there are a great many:
- Dozens of changes per release across the vendor's whole API
- Every kind, from an additive field to a breaking change to an endpoint's shape
- Endpoint after endpoint your integration never calls
- No sense of which of your callsites a change bears on — that context is not in the notes
The line the feed can't hold
Say you maintain an integration against a specific endpoint for a reason, and ratified the line that makes a release note worth your attention: only a change to an endpoint or field my integration actually calls interrupts me — additions and changes to surfaces I never touch wait. That your integration calls it is a fact about your code; it is not a column the vendor's notes model.
The reason the line is yours is the whole point. Release notes can list every change; they cannot know which endpoints your integration calls, or that you built to a field's exact shape, or that a change to an endpoint you never touch is noise to you and one to the shape you depend on is not.
The frame judges the data it is given; it does not verify the source’s accuracy.
The one that crosses
So when the vendor changes the exact endpoint or field your integration calls, it crosses — and nothing else does. Through Unl the answer arrives as a verdict: the field your integration was built to has changed shape, on an endpoint you actually call, so this note is a break you have to fix; the other forty changes this release were on surfaces you never touch. Same public notes; a decision instead of a digest.
You didn't ask — it was already there
You did not ask for it. The criterion was already ratified, so the next time you open Claude on that repository the crossing is already in the window — read against your integration, with the reason it cleared your line — rather than waiting for you to remember to read the notes. You author the line once; the read applies it every time the world moves; a scheduled push that ships the crossing on a timer is a separate delivery this page does not claim.
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.
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Questions people ask
How is this different from release notes or an API-change alert?
An alert fires on the vendor's rule — every change it publishes, across the whole API. This fires on YOUR rule: a change only to the endpoint or field your integration actually calls, with the reasoning attached. The notes show you the thousand; the measured read shows you the one that crosses a line you drew, and why.
Do I get pinged the moment the API changes?
The capability is that the crossing arrives measured against your criterion the next time you are working — it is already in the window, read against your integration, rather than release notes you read line by line. A scheduled push is a separate delivery; what the read guarantees is that when the crossing surfaces, it surfaces as a verdict against your position, not as one more line in the notes.
Does Unl change anything in my integration or the vendor's notes?
Unl reads through a vendor's release notes, and can write back on your explicit gesture — it never acts as a side effect of a read. The release notes are a public GET; your criterion — the endpoints your integration calls — lives in Unl; the read joins them and returns a verdict, altering neither.
What this is
Think inside your AI world — you stay in command
Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.
It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.
Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:
Alpha is invite-only · free at launch.