Think inside your AI world.
QuickBooks + GitHub through Unl
Payroll and tooling leave the books; features leave the branch. Whether the first bought the second — “did this month’s spend actually ship anything?” — is a question neither system asks.
QuickBooks + GitHub through Unl sets the engineering cost booked this month against what actually shipped, judged by the cost-to-ship rule you fixed, so the read says “spend converted to delivery” or “you booked the cost and shipped little.” The rule is held in Unl.
The criterion that binds them
Say you’ve ratified a rule for your studio: engineering spend is justified only when it clears an agreed release cadence — a shipped increment per cost period — because paying a full team to ship nothing is the quiet way a runway drains.
The two naked reads
QuickBooks returns the engineering cost by category and period. GitHub returns the merges, releases and Actions runs. Both are exact and blind to each other, so tying pounds spent to work shipped is a sum you do by hand, if at all.
The one measured answer
Held to your rule: the month’s engineering cost is on plan, but only one release shipped against the two your rule expects for that spend — so the money booked outran the delivery it was meant to buy. That reading needs one rule sitting over both.
And back again
If you accept a slower cadence for a hardening month and re-set the expected releases, that change is ratified in Unl — and the next read judges spend against the delivery you now expect.
The answer comes back measured against what you already decided, and why.
A router can list QuickBooks costs beside GitHub releases. It can’t say the spend outran the shipping, because the cost-to-ship rule — what delivery a period’s spend must buy — is in neither the books nor the repo.
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 my engineering spend is producing delivery?
Yes, through Unl. You ratify a cost-to-ship rule — the delivery a period’s spend should buy — and QuickBooks and GitHub are read together against it, so the answer says whether the money booked converted into shipped work.
Why can’t my accounts show this?
QuickBooks holds the cost and GitHub holds the shipping; neither holds your rule for how much delivery a spend must buy. That rule lives in Unl, so only a read across both can weigh one against the other.
Does Unl change my QuickBooks or GitHub data?
Unl reads through QuickBooks 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.