Think inside your AI world.
GitHub + Sentry through Unl
A pull request can be reviewed and green while the service it lands on is on fire — or clean while the code is half-checked. Ready means both, and that’s a bar across two tools.
GitHub + Sentry through Unl reads code readiness against the live error state, judged by the ship-safe bar you set, so “merge and deploy?” returns a verdict with the failing half named — not a green tick on one side of it. The bar is held in Unl.
The criterion that binds them
Say you’ve ratified a ship-safe bar: the pull request reviewed and checks green in GitHub and no open severity-one issue in Sentry on the affected service — because shipping onto an unstable service is how a clean merge still becomes an incident.
The two naked reads
GitHub returns the review state, checks and alerts. Sentry returns the open issues on the service. Both are accurate and partial; neither pairs code readiness to service stability, so “is it safe to ship this now?” is decided by feel.
The one measured answer
Against your bar: the code side is clean — reviewed, green; but Sentry shows an open severity-one on the service this touches. Not ship-safe by your bar, and it’s the ground, not the code, that isn’t ready.
And back again
If you decide the severity-one is unrelated and clear it to ship, that judgement is ratified in Unl — and the next ship-safe read applies the bar as you’ve now qualified it.
The answer comes back measured against what you already decided, and why.
A router can show GitHub checks beside Sentry issues. It can’t rule ship-safe-or-not, because the bar — code readiness and service stability, both required — lives in neither tool.
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.
Read further
Questions people ask
Can AI tell me if it’s safe to merge and deploy?
Yes, through Unl. You ratify a ship-safe bar — a GitHub readiness condition and a Sentry stability condition, both required — and the two are read together against it, so “merge and deploy?” returns a verdict with the failing half named.
Isn’t a green pull request enough to ship?
A green PR shows the code is ready; it says nothing about the service it lands on. The bar that joins code readiness to service stability lives in Unl, so the read won’t call it safe on a green tick alone.
Does Unl change my GitHub or Sentry data?
Unl reads through GitHub and Sentry, and can write back on your explicit gesture — it never acts as a side effect of a read.
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.