
Most "AI task managers" today do one of two things:
Self-Manager was built in a completely different way.
It started with pen and paper, not AI. And only after the core system proved itself in real life did AI arrive to make it faster, clearer and more powerful – not more complicated.
This is why Self-Manager is not your typical AI task manager.
Long before Self-Manager became a web app, it was just a simple paper system.
I was writing daily to-do lists and realized a few things were missing:
Those three ideas – tasks, priorities, and dates – turned into the foundation of Self-Manager.
Instead of lists floating around in different places, everything is organized by calendar days. You create tables for a day or for a project, add tasks, and track progress over time.
Years later, that same structure still powers Self-Manager. The difference now? It's supported by Gemini 3.0 AI – but without losing the simplicity.
A recent customer said:
"Some task managers are too complex and others are too tedious. This one is straightforward and fun to use, very practical, and with AI support, it's genuinely innovative."
When I founded Self-Manager for task and project management, that was the goal from day one:
Simple yet Powerful.
The app had to be:
That's why the date-based system came first. AI didn't replace it – it sits on top of it and makes it better.
It's not a coincidence that customers love the product.
I've been a power user of Self-Manager for a long time. The biggest updates didn't come from a roadmap meeting; they came from real moments where I thought:
Every meaningful feature started as a real need I personally encountered in my own work.
I'm not just in a leadership position trying to optimize profit from a distance. I use Self-Manager daily and rely on it for:
If something is annoying, too slow, or confusing, I feel it first. And then I fix it.
Self-Manager is battle-tested in real-life situations, not just demo scenarios. On top of that, customers have a real say in where it goes next – their feedback and requests directly influence what I prioritize and how features evolve.
Most AI features in productivity tools look impressive in demos but don't always fit day-to-day work.
In Self-Manager, AI is tightly connected to your tables, tasks, priorities, time tracking, comments, and logs.
Our 10 AI features powered by Gemini 3.0 live on a dedicated page: 👉 See all AI Task Manager Features
Here's what they can do in practice:
Turn notes, emails, meeting transcripts, or brain dumps into a structured to-do list.
Ask focused questions about one project or to-do list with full context: tasks, priorities, time, notes, comments, and logs.
Get an instant status summary and key insights for any table – perfect for quick check-ins.
Refine, expand, or turn a summary into a concrete plan, next steps, or even a message you can send.
Talk to AI about your most important tables at once to see the "big picture" of your priorities.
Get a global overview of your key projects and tasks, across multiple areas of your life or work.
Drill down, rewrite, or break summaries into actionable steps and sub-tasks.
Review any week or month using all your tables and tasks from that period, with full context.
Skip the chat and generate a direct summary for a chosen week or month.
Turn reviews into goals, journal entries, reports, or next-week plans with one more AI step.
For all of these, you can choose between two AI modes:
The difference is subtle but important:
You can:
No complex setup, no endless configuration.
If you're tired of tools that are either:
then Self-Manager might be a good fit.
It's built from real pen-and-paper habits, battle-tested in daily use, improved with real customer feedback, and now powered by Gemini 3.0 AI – without losing the simplicity that made it useful in the first place.
👉 Explore all AI Task Manager Features and see how they work on top of a date-based system that actually reflects your real life.

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