Think inside your AI world.
GitHub + Jira through Unl
A pull request can be clean and green and still not do what the ticket asked. Whether it meets the acceptance criteria is a comparison neither the repo nor the tracker makes on its own.
GitHub + Jira through Unl reads a pull request against its ticket’s acceptance criteria, so “is this done?” is answered against what the ticket required, with any unmet criterion named. The acceptance criteria are ratified on the ticket and applied by the frame.
The criterion that binds them
Say you’ve ratified that a ticket’s acceptance criteria are the definition of done for its work — the specific behaviours it must deliver — because ‘the code merges’ and ‘the ticket is satisfied’ are different claims, and only one closes the ticket honestly.
The two naked reads
GitHub returns the pull request, its diff and its checks. Jira returns the ticket and its acceptance criteria. Both are accurate; neither reads the code against the criteria, so “does this actually satisfy the ticket?” is yours to judge by hand.
The one measured answer
Read against the ticket’s criteria: the pull request is green and covers two of the three acceptance criteria — the third, an error-handling behaviour the ticket named, isn’t in the diff, so the code merges but the ticket isn’t satisfied.
And back again
When you move the unmet criterion to a follow-up ticket rather than block the merge, Unl records the split — and the next read judges the pull request against the criteria that remain on it.
The answer comes back measured against what you already decided, and why.
A router can show the GitHub diff beside the Jira ticket. It can’t rule the ticket satisfied-or-not, because the acceptance criteria as the definition of done — and the reading of code against them — live 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.
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Questions people ask
Can AI check whether a pull request meets its ticket’s acceptance criteria?
Yes, through Unl. You ratify the ticket’s acceptance criteria as its definition of done, and GitHub and Jira are read together against them, so a pull request reads as satisfying the ticket or missing a named criterion — not merely as merged.
Isn’t a green, merged PR done?
Merged means the code integrates; satisfied means it does what the ticket required. The two can differ, and the acceptance criteria that tell them apart live on the ticket in Unl, so the read checks the code against them rather than the merge status.
Does Unl change my GitHub or Jira data?
Unl reads through GitHub and Jira, 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.
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