Think inside your AI world.
QuickBooks + Asana through Unl
A project’s cost lives in the books and its progress lives in the tracker, and the one question a client asks — “is this project worth what it’s costing?” — needs both at once.
QuickBooks + Asana through Unl sets each project’s booked spend against the scope delivered, judged by the budget-to-scope deal you fixed, so a project reads as “earning its budget” or “over-spent for what’s done.” The deal binding them is held in Unl.
The criterion that binds them
Say you’ve ratified a rule per project: the budget, and the scope that budget was signed to deliver — because a project on-budget but behind on scope is quietly losing money.
The two naked reads
QuickBooks returns the cost booked to each project and the expense categories. Asana returns the tasks and goals completed against plan. Each is accurate alone; neither pairs cost to completion, so “are we underwater on this one?” is left to you.
The one measured answer
Judged by your deal: the project has spent 70% of budget for 40% of the signed scope — it is over-spent against the deal you set, and the drift started when the extra revisions weren’t re-quoted. One rule over both reads made that sayable.
And back again
If you re-baseline the scope after a change request and lift that project’s budget, the new deal is ratified in Unl — and the next read judges cost against the scope you now own.
The answer comes back measured against what you already decided, and why.
A router can list QuickBooks costs next to Asana tasks. It cannot rule that a project is over-spent for its delivery, because the budget-to-scope deal — the thing that makes it a verdict — is in neither the ledger nor the tracker.
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 project is over budget for what’s delivered?
Yes, through Unl. You ratify each project’s budget and the scope it was signed to deliver; QuickBooks and Asana are read together against that, so the project reads as earning its budget or over-spent for the work done.
Isn’t this just a time-and-cost report?
A report shows cost and progress; it doesn’t judge them against the deal you struck. The budget-to-scope rule — and why it matters — lives in Unl, so the read returns a per-project verdict, not two figures to reconcile.
Does Unl alter my QuickBooks or Asana data?
Unl reads through QuickBooks and Asana, 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
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.