Think inside your AI world.
Notion + Linear through Unl
A set of closed Linear tickets says work happened. Whether what shipped matches the spec you wrote is a different question — and it spans the PRD and the tracker.
Notion + Linear through Unl reads the shipped work against the definition of done in your PRD, so “did we build what we specified?” is answered against the spec, with any gap named. The definition of done is ratified in the PRD and applied by the frame.
The criterion that binds them
Say you’ve ratified the PRD’s definition of done as the spec delivery is measured against — the behaviours and constraints the feature must meet — because closed tickets prove activity, and only the spec proves the feature is actually what was designed.
The two naked reads
Notion returns the PRD and its definition of done. Linear returns the shipped issues and their state. Both are accurate and apart, so whether delivery matches the spec is yours to reconcile page against tracker.
The one measured answer
Read against the PRD’s definition of done: the Linear work is all closed, but one specified constraint — a behaviour the PRD called out — isn’t reflected in what shipped, so the tickets are done and the spec isn’t fully met.
And back again
Where you accept the shipped behaviour and amend the spec to match, Unl carries the revised definition — and the next delivery is measured against the spec as you’ve now settled it.
The answer comes back measured against what you already decided, and why.
A router can show the Notion PRD beside the Linear issues. It can’t rule delivery matched-or-not, because the definition of done in the spec — and reading shipped work against it — lives in neither tool as an applied test.
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 what shipped matches the spec?
Yes, through Unl. You ratify the PRD’s definition of done as the spec, and Notion and Linear are read together against it, so shipped work reads as matching the spec or missing a specified behaviour — not merely as closed tickets.
Aren’t closed tickets proof the feature is done?
Closed tickets prove activity; the spec proves the feature is what was designed. The definition of done in the PRD is what tells them apart, and it lives in Unl, so the read measures delivery against the spec rather than the ticket state.
Does Unl change my Notion or Linear data?
Unl reads through Notion and Linear, 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.