The latest feature pack for MLO 5 Android  is already out. In this post, we’ll take a closer look at one of the new additions: list of previous Zoom-ins.

 

This feature makes navigating large and deeply nested task hierarchies much faster, helping you stay oriented within your task tree.

How it works

Whenever you zoom in to a folder or project, you’ll see < > navigation arrows at the top of the screen. Use these arrows to move back and forth through your zoom history, as shown in the video below.

 

Long-pressing the Zoom-in icon in the bottom toolbar opens a full list of your recent zoom-ins.

Managing your zoom history

The list dialog includes an Edit button. Tap it to open the sorting settings.

By default, zoom-ins are sorted with the most recent ones at the top. If you disable this option, drag handles appear, allowing you to manually reorder zoom-ins in any way you like. In this mode, selecting a zoom-in won’t move it to the top - it will stay exactly where you placed it.

Each workspace can have its own zoom-history settings, so you can organize navigation differently depending on how you work.

You can access the list of previous zoom-ins either:

• via the Edit button in the focus selection dialog, or
• from the Workspaces screen menu.

 

Tip: If Zoom in functionality is your commonly used option, you can pin it on the toolbar. Long tap an empty area on the toolbar to customize it. 

 

Enjoy!

The latest feature pack for MLO 5 Android  is already out. In this post, we’ll take a closer look at one of the new additions: navigating the history of selected tasks.

 

Just like in the desktop version, you can now browse the history of tasks you’ve previously selected. This greatly improves the navigation between your typical tasks. 

How it works

• Open the bottom toolbar and use up and down arrows to move backward and forward through your selection history.
• You can also long-press either arrow to open the full list of recently selected tasks.
• The selection history is cleared when you exit the application.
• If the next task in the history exists but is not visible in the current view due to filters, MLO will show a warning and will offer you to switch to the All Tasks view where this task can be found.

Tip: If you find this functionality to be your commonly used option, you can pin it on the toolbar. Long tap an empty area on the toolbar to customize it. 

 

Enjoy!

Today you may have experienced service instability and synchronization issues. Our servers are currently under a DDoS attack, and our team is actively working to resolve the issue.

We apologize for the temporary inconvenience and appreciate your understanding. We will keep you posted here.

The MLO Team

We are often asked about the possibility of integrating AI into MyLifeOrganized to help with everyday MLO tasks - speeding up inbox processing, brainstorming complex projects, cleaning up large task trees, improving daily and weekly reviews, and more.

 

We’re very interested in this too and believe AI has huge potential. But before any deep or automatic integration, we want to take one important step first: a safe, fully controlled experiment - and we invite you to try it with us. Your feedback will directly shape MLO’s future in terms of AI.

Caution matters

Your MLO database contains years of thoughts, plans, and commitments. While modern LLMs are powerful, they still make mistakes - and your data deserves protection. That’s why any AI use in MLO must guarantee:

 

• Full transparency - nothing happens behind your back

• User control - you approve every change

• Easy verification - clear before/after comparison

• Full rollback - nothing is irreversible 

 

A simple experiment you can try now

Here’s the idea: instead of letting an AI touch your live data, we use MLO’s existing export/import capabilities and keep you in control at every step.

 

Step 1: Export your data

On desktop, export your entire MLO file to XML. This format already contains everything an AI needs: hierarchy, task properties, dependencies, goals, projects, and flags. And it’s all plain text.

Step 2: Share the XML with an LLM

Pass the XML to an LLM (for example, ChatGPT) and briefly explain any default values if needed.

Step 3: Ask a focused, well‑defined request

For example:

• Find the 'Build a house' project and merge duplicate tasks
• Move this project to My Goals folder
• Analyze related projects and mark the most important ones with a red flag
• Find inbox tasks from the last 5 days related to this project and move them there 

 

Important rules for the AI:

• Return the result in the same XML format
• Do not change anything unrelated to the request
• Provide a detailed list of all changes, with explanations

 

Step 4: Review the result

Now you have:

• the original XML
• the modified XML
• a clear explanation of what was changed and why

 

You can compare them and decide whether the result makes sense.

Step 5: Test safely

If you like the result, import the modified XML into a new MLO file. This keeps your original data completely untouched.

Yes, this means setting up sync again (connect it to a new Cloud file) - but it allows you to test the entire concept with zero risk.

 

Why your participation matters

This simple real-world testing can answer the key questions:

• Does AI actually help with real MLO data?

• Does it save time on inboxes and large projects?

• Is it valuable enough for deeper integration?

 

If this approach proves helpful and reliable, then creating a more convenient, built‑in mechanism becomes a realistic next step - without changing the core data model and without sacrificing control.

Please share your results with us at support@mylifeorganized.net or in the Community group. Even short feedback is extremely valuable. Thank you!

The MyLifeOrganized team

On August 13th, we experienced a DDoS attack on our Cloud servers originating from multiple locations, including Iraq, Vietnam, Brazil, and Ethiopia. As a result, synchronization services were unavailable for approximately four hours.

Our team jumped into action right away, and we’re happy to share that the issue is fully resolved and sync is back to normal. While it was an unexpected challenge, it also gave us valuable experience that will help us make MLO even more resilient in the future.

Thank you for your understanding, and we apologize for any inconvenience caused.

Best regards, 

The MLO Team

On Sunday morning, February 23, we performed scheduled maintenance on our servers. Some of you may have noticed a slight slowdown in synchronization for a few minutes during this time.

As a result of this maintenance, we have increased server bandwidth and enhanced our backup system. These improvements are part of our ongoing efforts to optimize cloud performance and prepare for the upcoming web version of MyLifeOrganized.

Thank you for your patience and support as we continue to enhance our services.

The MLO Team