Think inside your AI world.
The runway check, through Unl
A runway check normally means recomputing the months and then judging them yourself — which is the slow half. Through Unl the check reports your live cover against the floor you set, so it arrives as a verdict: above your line and steady, or below it and worth acting on, with the reason attached.
The recompute is the easy part of a runway check; the judgement is the part that takes a breath. Hold the floor in Unl and the check does both — it reports the cover and grades it against your line — so the recurring check lands as an answer, not a number.
The half that was never automated
When you check your runway, computing the months is trivial and the tools do it. What you actually spend time on is the judgement that follows: is this fine, is it thinning, should I be doing something. That judgement is against your floor, and the floor was never in the check.
So a runway check hands you a number and quietly reassigns the hard part back to you. Every check reopens the same question of whether the number is good, which is the question the check was supposed to settle.
The check that grades itself
Say your floor is ratified at seven months for reasons you have set. Your runway check returns not “9.2 months” but “nine point two months of cover — two months above your seven-month floor and holding, and the floor is set to survive a lost anchor client.” The judgement is in the check, not left after it.
If a bad month brings cover to six point six, the same check returns below your floor by a fortnight’s burn, with the reason — a verdict that tells you to act, on time. The check stopped being a lookup and became a call.
A check you can run any time
Because the floor lives in the read, you can run the check whenever you want and get a graded answer every time, not just at month end. The recurring ritual thins from recompute-then-judge to a single measured read.
And when you revise the floor, the check judges against the new line immediately, so it always reflects the runway you currently mean to keep. The runway check through Unl is the judgement done at read time, on demand.
A runway check recomputes the months and hands the judgement back to you; through Unl the check reports live cover against the floor you set and its reason, so it lands as a verdict — above your line or below it and by how much — every time you run it, not a number you still have to grade.
Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: 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
What does a runway check through Unl give me?
A graded answer, not a bare number. Computing the months is easy; the judgement against your floor is the slow part. Through Unl the check reports your live cover against the floor you set, so it returns above-your-line-and-holding or below-it-by-how-much, with the reason attached.
Why does checking my runway never feel settled?
Because a normal check hands you the months and reassigns the judgement — is this fine, should I act — back to you. That judgement is against a floor the check never held, so every check reopens the same question. With the floor in the read, the check settles it.
Can I check my runway whenever I want?
Yes. Because the floor lives in the read, you can run the check on demand and get a graded verdict each time, not only at month end — and when you revise the floor, the check judges against the new line straight away.
Does a runway check through Unl replace my model?
No — it reads your live cover against the floor you set and returns a verdict, using the model’s numbers. So you get comfortable-or-not on demand without rebuilding the spreadsheet, and the model stays where the assumptions live.
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:
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