Start with a goal, not a form
Most task managers ask you to fill in a title, a due date, a priority, and a project — before you've even finished thinking the task through. AI Todo flips that around: you describe what you're trying to accomplish in plain language, and the AI does the structuring.
Example: "I want to run a 5K in eight weeks, I can train three days a week in the evenings."
From a prompt like that, the assistant asks a couple of clarifying questions, then proposes a full plan — a name, and a set of tasks with due dates and priorities — before anything touches your list.
Nothing is added until you approve it
The conversation runs in two phases:
- Asking — the AI gathers just enough detail to build a good plan (your schedule, constraints, existing commitments).
- Proposed — it shows the plan as a table so you can review it in full.
- Confirmed — once you approve, the tasks are written to your plan.
If a proposal is close but not quite right, just say what to change. The AI regenerates only the tasks that need to change — anything you've already marked complete is never touched or re-sent.
Why this beats a template
Templates assume your goal looks like everyone else's. A plain-language description captures the constraints that actually matter — your available evenings, an existing deadline, a trip that blocks out a week — and the plan reflects them from the first draft.
Once the plan exists, it's a normal task list: check things off, edit due dates, drag tasks into My Day. The AI is there when you want to adjust the plan again, not a layer you have to fight to make a manual edit.