I’ve been testing Todoist for the past week to plan a small home renovation project—painting the living room, ordering furniture, and coordinating with a contractor. It’s one of those tasks that looks simple on paper but quickly gets messy with subcontractors, material lead times, and weekend-only availability. I wanted to see if Todoist could actually keep that straight without me having to micromanage the tool itself.
Right away, the natural language input stood out. Typing “pick up paint next Tuesday at 3pm” and having it auto-create a task with date and time was smooth. But it’s not perfect—when I typed “order sofa 2 weeks after painting done”, it didn’t know what to do with the relative date. That’s a tradeoff: the parsing works great for fixed dates, but not so much for dependencies or logic like “after this other task is finished.”
Setting up the project structure
I created a project called “Living Room Refresh” with sections: Paint, Furniture, Contractor. Adding tasks was fast, but I found the hierarchy a little rigid. For example, I wanted a sub-section under “Paint” for “Supplies” and another for “Prep work,” but Todoist only supports one level of sections within a project. I ended up using labels (like @supplies and @prep) to simulate the grouping, which works but adds one more thing to remember.
The smart scheduling feature (called “Smart Schedule” in Todoist) tries to automatically place tasks into your day based on priority and deadlines. It put “buy drop cloths” on a Tuesday even though I had planned to do all supply shopping on Saturday. I had to manually override. It’s helpful as a starting point, but I wouldn’t trust it to fully plan my week without checking every suggestion.
AI features: not the main draw
Todoist does have a newer AI assistant (in beta at the time of testing) that can break down a larger goal into smaller tasks. I fed it “plan the renovation budget” and it generated a list of line items. That was useful—but the suggestions were quite generic. It didn’t know I already had a contractor quote, so it suggested “get quotes” even though I had passed that stage. You still need to review and edit everything.
If you’re searching for a free ai to do list app 2026 that genuinely thinks ahead, Todoist is only partly there. It’s better described as an ai smart to do list app if you squint—it learns your habits over time (like suggesting a morning review), but it doesn’t proactively re-prioritize based on what’s realistic. For a true best ai task manager 2026, you might look at something like Taskly, which I tested briefly alongside Todoist. Taskly seemed more focused on turning scattered goals into a concrete action plan, whereas Todoist remains a traditional list with light AI sprinkles.
What I actually ended up sticking with
After a week, I kept using Todoist mostly because of its cross-platform speed. The mobile app is snappy, and the natural language input really saves time when you’re on the go. But for the renovation project, I ended up sketching a separate timeline on paper because Todoist’s view of dependencies (needing one task done before another) is basically nonexistent without third-party integrations.
There’s also a mild frustration with the free tier: you can only see upcoming tasks for a limited time, and the AI assistant isn’t included. If you want the full AI planning experience, you need the Pro plan. That’s fine, but it makes the “free ai to do list app 2026” search intent misleading—the free version is more of a manual to-do list.
Final thoughts
Todoist is solid for individuals who already know what they need to do and just want a fast, reliable place to write it down. It’s less helpful if you need a system to untangle messy priorities. If that’s your situation, something more AI-native like Taskly could be worth testing. But for everyday task capture and light scheduling, Todoist still gets the job done—as long as you’re okay with checking its work now and then.
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