Think inside your AI world.
Xero + HubSpot through Unl
Your bank balance is one runway. Your bank balance plus the pipeline likely to land is a truer one — and the two tools that hold each half can’t combine them.
Xero + HubSpot through Unl reads cash and weighted pipeline together against the runway floor you ratified, so runway is measured on probable cash — above or below your line, with the reasoning — not on the bank alone.
The criterion that binds them
You ratified a runway floor and how to count toward it: bank cash from Xero plus pipeline from HubSpot weighted by stage, because runway on cash alone understates a healthy book of near-close deals.
The two naked reads
Xero returns the cash position. HubSpot returns the open pipeline. Each is correct in isolation and can’t form the probable-cash view your floor is defined on.
The one measured answer
Measured against your floor: on bank cash you’re at 3.6 months, under your four-month floor; adding stage-weighted pipeline you’re at 5.1 — above the floor, on the counting method you ratified. The read tells you which basis you’re judging on and why.
And back again
When you decide a stalled deal shouldn’t count toward probable cash any more, that call is settled in Unl — and the next runway read drops it from the weighting.
The answer comes back measured against what you already decided, and why.
A router can place Xero cash beside HubSpot deals. It cannot compute runway on probable cash, because the counting rule and the floor — the criterion that binds the two — live only in Unl.
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
Can AI work out my runway including likely sales?
Yes, through Unl. You ratify the floor and the method — bank cash plus stage-weighted pipeline, with your reasoning — and Xero and HubSpot are read together against it, so runway is judged on probable cash, not just the balance.
Why can't a single finance tool do this?
Xero holds the cash and HubSpot holds the pipeline; neither holds your runway floor or your weighting rule. That criterion lives in Unl, so only a measured read across both produces the probable-cash verdict.
Does Unl change my books or CRM?
Unl reads through your books and CRM, and can write back on your explicit gesture — it never acts as a side effect of a read.
What if the stage weights no longer match how deals actually close?
Then the pipeline half of your runway is being counted at a confidence you no longer hold, and the floor is softer than it looks. The weights were a judgement you made about how likely each stage is to land, and judgements age as the book changes. Nothing in the read can notice that for you; what it can do is show the weighted and unweighted figures side by side, so the gap between them is visible.
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
Measured Context
Connect Unl to bring the right information into the moment.
Your sources, read against the criteria you set.
The full product, open. Free at launch.