This is my really simple apps introduction.

* 📬 **Mail**: Gmail + Superhuman + Proton Mail

* 📅 **Calendar**: NotionCalendar

* 📒 **Notes**: Tana + Kortex + Apple Notes

* 📷 **Capture**: Lazy + Fabric

* ✅ **Task**: Apple Reminder

* 🕸️ **Web Browser**: Arc + Horse browser + Surf

* 🔍 **Search**: Perplexity

* 🎨 **Design**: Figma + Illustrator + Canva

* 📚 **e-book Reading**: Kindle

* ✍️ **Writing**: iA Writer

* 🎵 **Music**: Apple Music

* 🔑 **Password Manager**: 1Password + Proton Pass

* 🛜 **VPN**: Proton VPN

* 📁 **File Organize**: Sparkle

* 💍 **Health**: Oura Ring + Lifestack

* ✈️ **AI**: Raycast AI + Claude

* 🎙️ **Voice**: Wispr Flow

* ❓ **Under Consider**: Cleft + Poi + Sona + Voicenotes

* 📋 **Waiting**: Tatem + HeyDay + Limitless

I'm currently looking into various voice note taking options for my iPhone and Mac. Having switched my note taking app back to Apple Notes, I'm thinking that voice to text will be more convenient from now on, instead of taking notes by typing.

My default apps in 2024.

## 2025 is the year of the AI revolution.

Already, perhaps, you felt AI product and service have launched day by day. Me either, I cannot follow up everything even though really interested in. In addition, innovations in AI have made it easy for anyone to create apps and services, so not all of them have actually been developed over a long period of time or polished by seeking the opinions of many people.

> This may be a prejudice, but if you have had any experience with AI image generation, you may know this, but I tend to avoid app icons that use AI-generated images. I'm also not very interested in apps that just use icons that I've seen on other free SVG icon sites without any special editing.

This situation of competing forces among various factions will likely continue into 2025. AI is still in its infancy and is being updated daily, so there is still room for apps and services to be developed that utilize it. We are already surrounded by countless services, ChatGPT task function or expensive subscription by OpenAI, full integration Gemini with Google services by Google, the super lawless Grok by great billionaires, and then there's the open source stuff that follows, and Apple Intelligence by Apple. Naturally, the products produced by big tech companies are relatively high quality and trustworthy due to the volume of work they produce, but I think that individual development is more interesting. Of course, Apple, which centralizes the development of devices and OS, is probably second to none when it comes to local language processing on the iPhone, but of course Apple is not the only company developing apps. I love Apple Notes but something too simple and It feels inorganic. If, when I wanted to take a voice memo on my iPhone, there was something that had a better interface design and was easier to record and output than the inorganic note app I was using, then of course I would use it, like Cleft or Sona. What kind of design is good varies from person to person, and I believe there are as many correct answers as there are people, but that's what I think.

### Get back to about my hope of AI.

> **Conclusion: It reads my thoughts and transcribes them without me having to type or speak aloud.**

This is my hope in a nutshell, and I believe that just as the Internet has changed the times, AI is a necessary condition for changing the times. There are 2 approaches to achieving this, and I think in terms of **input** and **output**.

The side of **Output**. You may know the side of output is almost ready for world. Not only images and text, but also various things such as code and apps are already being output using AI. It is now natural for us humans to think about what to generate and then use the power of AI to output it, and this aspect will continue to develop in the future. So that we have to think less.

The side of **Input**. On the other hand, in terms of input, it seems that it is only being used to make things a little easier. Using AI to summarize, translate, and automatically tag long texts may be convenient and even indispensable, but it would be a bit of an exaggeration to call that alone input. The true revolution in AI input will come when we can bridge the gap between human thought and digital expression. Currently, we're still bound by traditional interfaces - keyboards, voice commands, and touch screens. These are merely translations of our thoughts into format-constrained inputs. What we need is a more direct connection.

Consider how we naturally process information: We don't think in perfectly structured sentences or organize our thoughts in bullet points. Our minds work in complex webs of associations, emotions, and abstract concepts. The next frontier in AI input should focus on capturing these natural thought patterns.

> Some promising developments are already emerging in this direction. Brain-computer interfaces (BCIs) are making steady progress, though they're still in their early stages. Companies like Neuralink are working on direct neural interfaces, while less invasive solutions using EEG and other scanning technologies are being developed by various research institutions.

However, the real breakthrough might come from a different direction entirely. Perhaps we don't need to directly read brain signals to understand human thoughts. AI could potentially learn to interpret our micro-expressions, subtle behavioral patterns, and contextual clues to understand our intentions before we even articulate them. Imagine an AI that knows you're looking for a specific document just by recognizing your work patterns and stress signals, or one that can draft an email based on your emotional state and previous communications without explicit commands.

This leads us to an interesting intersection of input and output - where the boundaries between the two begin to blur. In an ideal future, AI won't just be a tool we command, but a collaborative partner that understands our intentions and helps shape our thoughts into concrete results. The key is to maintain human agency while leveraging AI's capabilities to enhance our natural thought processes.

The challenge ahead lies not just in developing the technology, but in creating interfaces that feel natural and intuitive while respecting privacy and maintaining user control. We need to strike a balance between AI's potential to read our thoughts and our right to keep certain thoughts private. This is particularly crucial as AI becomes more integrated into our daily lives and work processes.

As we move through 2025 and beyond, the focus should shift from treating AI as a mere tool for task completion to viewing it as an extension of human cognition. This shift will require not only technological advancement but also a new framework for human-AI interaction - one that prioritizes seamless integration while preserving human autonomy and creativity.

### Conclusion.

The future you envision, where AI can transcribe thoughts without explicit input, might not be as far away as it seems. But perhaps the more important question is: How do we ensure that when this technology arrives, it enhances rather than diminishes our human experience? The answer likely lies in thoughtful development that prioritizes human needs and natural interaction patterns over technological capability alone.

**Let's look forward to change in 2025 as well.**