A situation we handle
Why does the last 20% of an AI task take longer than doing it myself?
You hand the agent a task and the first 80% lands in minutes. Then the last 20% eats the rest of the day. That's not the tool failing — the finish is where your decisions live, and the agent doesn't have them.
The first 80% of a task needs no judgement, so the agent flies through it. The last 20% is built out of your decisions — naming, boundaries, what counts as finished — and without them the agent guesses, and you correct. Unlimitless (Unl) holds each decision you settle with its reasoning and hands the relevant one into the agent's reasoning before it acts. It's just-in-time context; the human stays in command. Works across Claude, Claude Code, ChatGPT and Cursor over MCP. Free at launch.
Why this matters
The first 80% needs no judgement. The last 20% is where your decisions live — and the agent doesn't have them.
The demo felt like magic: scaffold, boilerplate, the whole shape of the thing in one pass. Then the finish arrived — the naming call you made months ago, the edge case you already ruled on, the constraint that isn't written anywhere — and suddenly you're correcting output instead of finishing work. Doing it yourself starts to look faster.
None of that is an argument against the agent. The mechanical stretch was genuinely fast because none of it touched a judgement. The finish is different: it's made of calls only you could have made — and the agent never had them as decisions. At best it had text in a file; text carries the what, not the why, and nothing marks it as settled.
The way through
Hand off work that carries what you settled, and the last 20% stops being the expensive part. You actually finish it.
With Unl you author the brief, hand it off, and the agent executes inside what you settled — full speed on the mechanical work, your decisions arriving in its reasoning before it acts on the parts that need them. And done stays yours to say.
Questions people ask
Why is the last 20% of an AI task so much slower than the first 80%?
The first 80% is mechanical — it needs no judgement, so the agent moves at full speed. The last 20% is where your settled decisions bear: naming, boundaries, what counts as finished. Without them the agent guesses and you correct. Unl hands the relevant decision, with its reasoning, into the agent's reasoning before it acts — so the finish runs on your calls instead of guesses.
Does this mean the agent should do less of the work?
The opposite. The agent should run at full speed on the work that suits it — the fix isn't less autonomy, it's autonomy inside what you settled. You author the brief and the decisions; the agent executes inside them; done stays yours to say.
Which AI tools does this work with?
Unl is one connection over MCP, so it hands your settled decisions to Claude, Claude Code, ChatGPT and Cursor alike. The call you settle on one surface is inherited on the others.
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.