Think inside your AI world.
Is this objective still worth pursuing?
There is a question beneath “is this on track?” that teams rarely ask: is this still worth pursuing at all? Circumstances move, and an objective can be perfectly on track and no longer worth the effort. Through Unl it is checked against the reason you set it, so you can retire it on purpose.
On-track measures whether you’ll hit the goal; worth-pursuing measures whether you should still want to. The second needs the reason the objective existed, checked against how the world has changed. Hold the reason in Unl and the objective can be retired deliberately when its purpose has passed.
On track and pointless are compatible
An objective can be sailing toward its target while the reason for the target has quietly expired. You set it to prepare for a launch that has since slipped, or to win a partner who has since walked. It is on track and it is no longer worth the effort — and an on-track reading will never tell you that, because on-track only measures the number.
So the more important question mid-quarter is often not how a goal is doing but whether it should still be a goal. That question needs the original reason, checked against current reality — which is exactly what the tracker does not hold.
Checking purpose against reality
Say your objective — complete a specific industry certification this quarter — was set because a named enterprise deal required it. Mid-quarter the deal is dead. The read, holding that reason, surfaces the tension: this objective is on track, but the reason it existed is gone, so its worth is now in question.
That is a prompt you could never get from a status board. The objective looks fine by every progress measure; only checking it against its purpose reveals that finishing it would be effort spent on a goal whose point has passed.
Retiring on purpose, not by neglect
With the reason in the read, you can retire the objective deliberately — closed because its purpose no longer holds — and ratify that decision, freeing the effort for something that still matters. The alternative, letting it drift on because killing it felt like admitting failure, is how zombie objectives are born.
So “is this still worth pursuing?” gets a real answer: the objective checked against the reason it existed, so worth is judged on purpose rather than progress, and retirement is a choice you make rather than a thing you avoid.
An objective can be on track and no longer worth pursuing, because on-track measures the number while worth depends on the reason you set it; through Unl the objective is checked against that reason and current reality, so a goal whose purpose has passed surfaces for deliberate retirement — a ratified choice, not a drift into a zombie.
Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: 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
How do I decide whether to drop an objective mid-quarter?
Check it against the reason you set it, not its progress. An objective can be on track while its purpose has expired — set for a deal that has since died, say. Through Unl the read surfaces that tension, so you can retire the goal deliberately when its reason no longer holds.
Can an OKR be on track but not worth doing?
Yes — on-track measures whether you’ll hit the number, not whether you should still want to. When the reason behind an objective expires, it can sail toward its target while being effort spent on a goal whose point has passed, which only a check against its purpose reveals.
How do I retire a goal without it feeling like failure?
Retire it on the evidence. Through Unl, when an objective’s reason no longer holds, closing it is a deliberate decision with a stated basis that you ratify — freeing the effort for what still matters, rather than letting the goal drift on because killing it felt like admitting defeat.
How do I retire an objective mid-quarter without it feeling like failure?
By deciding it against its purpose, not its progress. Through Unl the reason you set the objective is in the read, so dropping one because that reason has passed is a clean call on the rationale — not a green number abandoned for no visible cause.
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.