Superpower to-do list with AI

Most “AI to-do lists” today add a sprinkle of AI on top of the same old structure: a list of tasks, maybe a calendar view, plus a button that says “summarize” or “auto-prioritize.” (ClickUp)

Useful, but not exactly a superpower.

Self-Manager was built with a different idea in mind:

What if your to-do list could understand your days, your projects, and your history well enough that AI could actually help you think?

That’s what a superpower to-do list with AI looks like—and it’s exactly what Self-Manager is designed to be.

From simple to-do list to date-centric system

Before Self-Manager became an app, it was a pen-and-paper system: daily lists, priorities, checkmarks, and dates at the top of each page.

The digital version kept that core idea:

• Your work is organized by calendar days
• Each day (or project) is a table with tasks, priorities, statuses, time tracking, comments, and logs
• You can create unlimited tables per date for personal tasks, client work, or team projects (selfmanager.ai)

This date-centric structure turns your to-do list into a timeline of real life: you always know what you did, when.

That’s the foundation. AI is the superpower layer on top.

Powered by Gemini 3.0 for real reasoning

Self-Manager’s AI features run on Gemini 3, Google’s latest generation model with stronger reasoning, long-context understanding, and better performance across everyday productivity tasks. (blog.google)

You can choose between:

• Fast mode – quick replies for small prompts
• Thinking mode – deeper reasoning for complex questions about your tasks, weeks, or projects (selfmanager.ai)

Instead of generic AI chat, Self-Manager gives Gemini structured access to your tables, pinned projects, and time periods—so it can actually work with your real data.

What a “superpower to-do list” can do in Self-Manager

Here’s what happens when you give a structured to-do list to a serious AI model.

1. Turn any text into a clean task list

Drop in:

• Meeting notes
• Brain dump notes
• An email from a client
• A long idea log

Self-Manager’s AI reads the text and turns it into a structured to-do table with task titles, details, and priorities that you can edit and track like any other list. (selfmanager.ai)

No more manually rewriting everything into tasks.

2. Ask AI about today’s table

Every day can have one or more tables—your plan, your main project, your sprint, etc.

You can open a table and simply ask:

• “What should I focus on first today?”
• “What’s blocking this project?”
• “Can you group these tasks into milestones?”

AI answers using your current tasks, priorities, statuses, time logs, comments, and history for that table. (selfmanager.ai)

It’s like having a project coach that already read everything.

3. Get instant summaries of any list

Every table can be summarized with one click:

• A clear status update
• Main risks
• Completed vs pending work
• Suggested next steps

You can then follow up and say things like:

• “Turn this summary into an email to my client.”
• “Rewrite this as a short update for my team.”
• “Convert this into a checklist for tomorrow.” (selfmanager.ai)

The to-do list is no longer just a list—it becomes a source for ready-to-use communication.

4. Pinned tables = your “big rocks” view

You can pin your most important tables: key projects, recurring processes, or critical personal goals.

Then you can:

• Chat with AI about all pinned tables at once
• Ask for cross-project priorities
• Generate high-level summaries for multiple areas of your life or work (selfmanager.ai)

This is where your to-do list stops being “isolated lists” and becomes a real priority map.

5. Weekly and monthly AI reviews

Self-Manager has a dedicated AI Period Summary page:

1. Pick any week or month
2. Include the tables you care about
3. Let AI read your tasks, statuses, and logs from that period (selfmanager.ai)

You can:

• Chat with AI about that week/month (“What did I actually accomplish in March?”)
• Or generate an instant review without chat

Then turn it into:

• Goals for next week
• A journal entry
• A progress report
• A sprint retrospective

This turns your to-do data into a continuous feedback loop instead of just archived checkboxes.

How this compares to typical AI to-do apps

A lot of AI to-do apps focus on:

• Auto-scheduling tasks into your calendar
• Smart reminders and notifications
• Quick natural language task creation
• Light AI suggestions for priority or planning (ClickUp)

Those are useful, but they often:

• Treat tasks as isolated items, not part of a structured day
• Use AI mainly for short suggestions or summaries
• Don’t provide a strong sense of when your work actually happened

Self-Manager flips the order:

1. First: a structured, date-based to-do system with tables, time tracking, and history. (selfmanager.ai)
2. Then: AI that fully understands that structure and can reason about your days, projects, and periods.

That’s what makes it feel more like a superpower than a feature.

Example workflows: Supercharging your to-do list

Here are a few concrete ways you might use it:

Example 1: From messy notes to a clear day plan

• Paste your messy meeting or brainstorming notes into a new table
• Click “Generate tasks from text”
• AI turns them into actionable tasks with priorities
• You reorder, tweak, and track them through the day
• At the end, ask AI: “Summarize what I got done today and what’s left for tomorrow”

Example 2: Weekly review without the cognitive load

• At the end of the week, open the AI Period Summary page
• Choose this week and include your most important tables
• Generate an instant weekly review
• Ask AI: “What patterns do you see? Where am I losing time?”
• Turn the summary into a list of next week’s goals

Example 3: Team update in one prompt

• Pin the 2–3 project tables your team works on
• Ask AI: “Create a short status update for the team based on pinned tables”
• Paste the result into Slack/email, adjust details, and send

The underlying to-do system stays simple; AI just removes the friction around planning and reflection.

Superpowers, without per-seat anxiety

Many task and project tools still charge per user per month, often with minimum seats. (The Digital Project Manager)

Self-Manager takes a different route:

• Individual plan for personal use
• Team plan with unlimited collaborators
• Flat, transparent pricing (currently $5/month individual, $20/month team) and a 7-day free trial with no payment info required. (selfmanager.ai)

The idea is simple: you shouldn’t be punished for inviting more people into your workflow.

Try a to-do list that actually thinks with you

A superpower to-do list isn’t just about having AI built in.

It’s about:

• a structure that mirrors real life (days, projects, history), and
• an AI layer smart enough to understand that structure and help you plan, execute, and review.

That’s what Self-Manager aims to do: turn your to-do lists into a thinking system, not just a prettier checklist.

If you’re curious what that feels like in practice, you can explore more on the homepage and the AI features page:

• Overview: selfmanager.ai
• AI features: selfmanager.ai/ai-features

And then see how it changes the way you run your days, weeks, and projects.