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.

Read further

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

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:

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