Think inside your AI world.
A deprecation, against the method you call
A deprecation notice is loud by design: a framework marks methods for removal across its whole API, release after release, most of which you never touch. What you actually need is the one that lands on a method you call — the API you built on, marked for removal — and that is a line the notice cannot hold, because the line is yours.
Read a framework's public deprecation notices through Unl and the whole stream arrives measured against the criterion you ratified — so instead of a changelog to comb, you get the single deprecation that lands on a method your code actually calls, with the reason it crosses. The one, not the thousand.
What a framework's public deprecation notices publishes
A framework's deprecation notices are a genuine public good, and there are a great many:
- Dozens of methods marked deprecated across the framework's whole surface every release
- Every kind, from a cosmetic rename to an API scheduled for removal
- Surface after surface you never import or call
- No sense of which of your callsites a notice bears on — that context is not in the changelog
The line the feed can't hold
Say you built on a specific method for a reason, and ratified the line that makes a deprecation worth your attention: only a deprecation on a method my code actually calls interrupts me — everything on a surface I never touch waits. That your code calls it is a fact about your codebase; it is not a column the framework's notice models.
The reason the line is yours is the whole point. A changelog can mark every method deprecated; it cannot know which methods your code calls, or that you built on one deliberately, or that a deprecation on a surface you never import is noise to you and one on the method 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 framework deprecates the exact method your code calls, it crosses — and nothing else does. Through Unl the answer arrives as a verdict: the method you build on is now marked for removal, on a callsite you actually maintain, so this deprecation is work you have to schedule; the other thirty this release were on surfaces you never touch. Same public notice; 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 callsites, with the reason it cleared them — rather than waiting for you to remember to comb the changelog. 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 a changelog or a deprecation feed?
A feed fires on the framework's rule — every method it marks deprecated, across its whole surface. This fires on YOUR rule: a deprecation only where your code actually calls the method, with the reasoning attached. The changelog shows you the thousand; the measured read shows you the one that crosses a line you drew, and why.
Do I get pinged the moment a method is deprecated?
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 callsites, rather than a changelog you comb. 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 deprecation note.
Does Unl change anything in my codebase or the framework's notices?
Unl reads through a framework's public deprecation notices, and can write back on your explicit gesture — it never acts as a side effect of a read. The deprecation notices are a public GET; your criterion — the methods your code 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.
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