Think inside your AI world.
Google Calendar + Jira through Unl
A sprint commitment is made in points; it’s delivered in hours — the ones left after standups, reviews and meetings. Whether the two match is a check neither Jira nor the calendar makes.
Google Calendar + Jira through Unl weighs the hours the sprint really has against the points committed, judged by the capacity rule you set, so the commitment reads as realistic or over-subscribed before the sprint starts. The rule is held in Unl.
The criterion that binds them
Say you’ve ratified a capacity rule: the focused hours the team has each sprint once meetings are counted, and the hours a point tends to take — because a commitment planned on gross availability, not real hours, overruns on principle.
The two naked reads
Google Calendar returns the meetings and free/busy across the team. Jira returns the sprint’s committed issues and points. Both are correct; neither converts points to hours and tests them against a meeting-thinned week, so over-commitment is discovered mid-sprint.
The one measured answer
Against your rule: the sprint’s real focused hours cover about forty points; the team has committed to fifty-two — a fifth over the capacity you set, so either scope comes out now or the sprint misses by design.
And back again
If you pull two stories to bring the commitment under your rule, that re-scope is ratified in Unl — and the next sprint check tests the commitment against the hours it truly has.
The answer comes back measured against what you already decided, and why.
A router can place Calendar load beside Jira points. It can’t say the sprint is over-committed, because the capacity rule — points converted to hours against a meeting-thinned week — lives in neither tool.
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 our sprint commitment is realistic?
Yes, through Unl. You ratify a capacity rule — real focused hours after meetings, and the hours a point takes — and Google Calendar and Jira are read together against it, so the commitment reads as realistic or over-subscribed before the sprint starts.
Isn’t velocity enough to plan a sprint?
Velocity assumes a typical week; a meeting-heavy sprint isn’t typical. The rule that tests committed points against the hours this sprint actually has lives in Unl, so the read catches an over-commitment velocity would miss.
Does Unl change my calendar or Jira?
Unl reads through Google Calendar 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:
Alpha is invite-only · free at launch.