Think inside your AI world.
Stripe + Linear through Unl
Two dashboards, one question they can’t answer apart: are we on track for the quarter, and if not, is it the building or the selling?
Stripe + Linear through Unl reads revenue and delivery in one pass, measured against the quarterly target you ratified, so the answer is “on track” or “short — and the gap is revenue, not delivery”. The binding target lives in Unl, not in either tool.
The criterion that binds them
You ratified the quarter’s target and why it’s shaped the way it is: the revenue line to hit, and the delivery milestones that were meant to drive it. That target is the thing both reads answer to.
The two naked reads
Stripe returns the revenue run-rate. Linear returns the cycle burndown. Each is right; neither knows the target, and neither can see the other, so “are we on track?” stays a manual cross-check in your head.
The one measured answer
Measured together against your target: delivery is on plan — the milestones that were supposed to drive the quarter shipped; revenue is 22% short of the line. The gap is revenue, not delivery. That sentence is only sayable because one target sat over both reads at once.
And back again
When you revise the quarter’s revenue line down and push a milestone, both changes are ratified in the same conversation — and the next joint read is measured against the plan you actually hold.
The answer comes back measured against what you already decided, and why.
A router can move Stripe data next to Linear data. It cannot say “the gap is revenue, not delivery,” because that verdict needs the target — and the target lives in neither Stripe nor Linear.
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 compare my revenue and my delivery against a quarterly target?
Yes, through Unl. You ratify the quarter’s target — the revenue line and the milestones meant to drive it — and Stripe and Linear are read together against it, so the answer names whether you’re on track and which half is short.
Why can't Zapier or a router do this?
A router moves data from one tool to another; it holds no view of what you decided. The binding criterion here — the quarterly target and its reasoning — lives in Unl, so only a read measured against it can produce the verdict.
Does Unl change anything in Stripe or Linear?
Unl reads through Stripe and Linear, and can write back on your explicit gesture — it never acts as a side effect of a read.
What if the delivery milestones shipped, but after the quarter closed?
Then delivery did not meet the target as you ratified it, and the read says that plainly rather than counting the work because it eventually landed. Your target tied the milestones to the quarter deliberately, since they were meant to drive that quarter’s revenue. Work that arrives afterwards may still be good work; it is simply not evidence for the line it was supposed to move.
What this is
Think inside your AI world — you stay in command
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.
MCP native·Human settled·Model agnostic·Your data
Targeted Momentum
Connect Unl for real progress on what you set out to do.
Aim, settled reasoning and target to keep long-running work moving.
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