Think inside your AI world.
Vercel + GitHub through Unl
A green deploy and a merged branch each look like “ready” — but ready is the bar you set across both, not a checkmark in either.
Vercel + GitHub through Unl reads the deployment state against code readiness, judged by the release gate you set, so “promote?” returns a verdict with the unmet condition named — not a colour. The gate is held in Unl.
The criterion that binds them
Say you’ve ratified a release gate: a clean Vercel preview and GitHub with reviews approved and code-scanning clear, because a preview that renders isn’t the same as code that’s been checked and signed off.
The two naked reads
Vercel returns projects, deployments and logs. GitHub returns PR reviews, commits and code-scanning alerts. Both are right; neither joins deploy health to review-and-scan state, so “is this promotable?” is yours to assemble.
The one measured answer
Against your gate: the preview is clean, but one review is still pending and code-scanning flags an unresolved alert. Not promotable by your bar — and it’s the sign-off and the alert, not the deploy, holding it back.
And back again
When you waive a low-severity alert with a documented reason, that call is ratified in Unl — and the next promote read applies the gate as you’ve now defined it.
The answer comes back measured against what you already decided, and why.
A router can place Vercel status beside GitHub checks. It cannot rule promotable-or-not, because the release gate — deploy plus review plus scan, and why they’re bound — lives in neither service.
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 a deploy is ready to promote?
Yes, through Unl. You ratify a release gate spanning Vercel deploy health and GitHub review-and-scan state; the two are read together against it, so “promote?” returns a verdict with the unmet condition named.
Isn’t a green deployment enough?
A green deploy shows it built and rendered, not that it was reviewed and scanned. The gate that joins deploy to code readiness lives in Unl, so the read won’t call it promotable on a checkmark alone.
Does Unl change my Vercel or GitHub state?
Unl reads through Vercel and GitHub, 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.