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 (self-manager.net)

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 (self-manager.net)

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. (self-manager.net)

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. (self-manager.net)

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.” (self-manager.net)

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 (self-manager.net)

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 (self-manager.net)

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. (self-manager.net)
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. (self-manager.net)

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: self-manager.net
• AI features: self-manager.net/ai-features

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