2025-10-14 14:28:34
Welcome to this edition of our Tools for Thought series, where we interview founders on a mission to help us think better and work smarter. Steffen Bleher and Michael von Hohnhorst are the founders of Capacities, an object-based knowledge management space that allows you to connect your thoughts, get new insights, and use AI in your knowledge work.
In our first interview with them, we explored the inspiration for their work. In this interview, we went deeper and talked about their philosophy of object-based note-taking, how they aim to create a calmer and more human digital workspace, why they focus on individuals rather than teams, their design principles and integrations, their long-term vision for helping people think more intentionally, and much more. Enjoy the read!
Hi Steffen and Michael, thanks for coming back for another interview! You decided to build Capacities when you noticed how unnatural knowledge work tools felt. Can you tell us more?
We met at university, where we were both studying electrical engineering. Almost nothing in our studies made use of digital tools; it was all pen and paper. Lots of paper! Yet, at the same time, we were taking classes in computer science and learning about all these powerful digital technologies to store and process information.
While pen and paper often work perfectly well, this gap sparked our curiosity, and we started thinking a lot about the best ways to represent knowledge digitally and how to create better tools for knowledge work. Curiosity and passion were our core drivers from the beginning. We did not know the market and landscape of tools that well when we first started thinking about it. But when we did some research and looked at existing solutions, they all tended to focus on hierarchical structures to organize information.
Our insight was that connections between information are equally important, if not more important, especially when you are learning new things. Your brain does not work like a computer, where you create a new folder and put a bunch of new stuff in there. It’s a network that you can expand by connecting new information with existing knowledge. We decided to explore this idea further.
What was your vision at the time, and did it evolve since then?
Originally, we wanted to build a learning and teaching tool for the education sector. But over time, we moved toward a note-taking tool for knowledge workers, mostly because we wanted a direct relationship with our users and a simple business model (educational software tends to involve many different stakeholders, complicated business models, and high compliance requirements from the start, all of which are not very compatible with bootstrapping a business).
Our guiding idea has always been to find better ways to structure information and support learning. And this idea, paired with curiosity, explains a lot of what we do. Another thing that is important to us is to also make something that’s beautiful and easy to use. We don’t want to build software only for very technical people, but software that is accessible to everyone looking for better ways to learn and organize information.
Today, we would describe our mission as this: we’re working on solving information overload for curious, engaged, and passionate individuals to help them do their best work and ultimately, live more intentional lives.
The last part might need some explanation. In today’s digital landscape, we’re bombarded with so much information that it can become difficult to remain focused. We may end up in a situation where our attention and thoughts are controlled solely by external factors.
With Capacities, we want to play a role in flipping this around and empower you to follow your own, intrinsic curiosity, to help you figure out what’s really important to you, what you want to spend your time on, and what you—and not others—think about a given subject.
This is definitely not against the idea of getting external input or meant to be a hyper-individualistic view of only focusing on yourself. It’s about not skipping the step of doing your own self-directed thinking and reflection first, and being more intentional with what you do with the information you choose to consume.
You wrote in your core principles that the individual is in the center of everything you do. What does that mean exactly?
We’re building Capacities for individuals in part because we feel many other apps on the market, especially big players, are built with teams, businesses, and collaborative features at the center of their approach. This is great, but many people are missing an experience designed just for them and their needs.
When we are building Capacities, we’re building it for you. Capacities is a safe and calm place individuals can retreat to in order to do their best thinking. There is no outside noise, nothing pulling at your attention, nothing you need to do other than what you choose to focus on.
Quite frankly, we’d probably have an easier time catering to businesses and selling enterprise licenses, but this isn’t what we want to do. Every individual user matters to us, and we’re unwilling to compromise on the individual experience. Individuals, whether working by themselves or within a larger team, deserve the space to think in peace. This is the experience we’re building for our users.
We truly believe in the importance of having a space that just belongs to you. A space where you can be vulnerable, think, and write freely, and let creativity flow without external filters. The design and functionality of a tool can nurture this kind of thinking—or stifle it before it begins.
Capacities is built around objects as the unit of thinking. Can you explain why this is central to your approach?
Object-based note-taking is an antidote to the existing culture of software that is structured around the way computers think. People don’t think in files and folders, so why should we structure our information around them as well?
If you think of the world around you and what you interact with, you’re engaging with things: objects. You see people every day, you watch films, you participate in meetings, and you read books. In Capacities, each of these things becomes an object type: People, Films, Meetings, Books.
Maybe a person, let’s say your good friend, Julie, with whom you frequently talk about books you read, recommended a book to you. In your Capacities notes, you’ll be able to connect Julie to the book she recommended and have an easy way to add it to your reading pipeline. In fact, you can represent that information in just one sentence without ever thinking about where to put this information.
On your daily note, which is a go-to place for things you encountered on that day, you simply write the sentence “Julie recommended The Years by Annie Ernaux.” While you write, you simply link to “Julie”, the person, “The Years”, the book, and “Annie Ernaux”, the author, to be another person.
Each of these become objects of that type. They become a “thing” in your system that you can reference in the future and take further notes on. The Julie object contains information about Julie and is a separate entity from the book object, which can include your thoughts on the book. If you visit the page of any of the objects we just created, you will find the sentence in their backlink section, including the date of the daily note you wrote it in—giving you the full context.
Additionally, by nature, books are different to people. Your notes on them should also look different. People have birthdays and favourite foods, and books have authors, genres, ratings, summaries, and blurbs. You could also assign a “status” property to track all books you want to read, are currently reading, or have already read.
In Capacities, each object type has its own set of properties unique to it. In a file and folder structure, all your notes are flat documents. They don’t reflect the type of thing you are taking notes on. Object types and networked notes solve this problem.
You don’t have to think about organizing your notes or setting up an elaborate system around them. All you need to know is the type of note you’re taking (book or person), and start writing. Capacities will do the rest for you.
Imagine trying to create this connection in a file and folder structure. You’d have to create a book note, and then mention in that note somewhere that Julie recommended it to you.
Maintaining a file and folder approach to your knowledge work introduces an admin and organization overhead, and requires more clicking around. You have to remember where you put things, and where to put them in the first place. You’re adding mental load to your organizational system, which is stealing mental headspace from doing the actual work that matters to you.
Capacities also completely removes the decision making process around where to store notes, because often when you’re starting to take a note you don’t know what it is yet or where it belongs. In Capacities, you don’t have to think about it; you can just start writing. You can always easily change object types later, and notes can show up in multiple places at once through links.
Object types follow the natural way we think about things, which is as objects. You don’t have to remember where you put anything because the way you organized your thoughts mirrors exactly the way you think. You can trust that things will appear when they are contextually relevant in Capacities, and you won’t see them when you don’t need to.
You also never have to worry about being locked into a specific setup. We also make it super simple to change between object types, so if you change your mind about something, you don’t have to worry about reorganizing anything.
Amazing, now let’s go a bit deeper into how Capacities works.
Again, object types are central to how Capacities works. By creating objects (different types of notes) and connecting them to other objects when relevant, you can create a network of notes. You can think of this like building your own personal wiki of everything important to you.
The core functionality of Capacities is creating custom object types, taking notes in objects (book, film, article, meeting note, project, etc), and making connections between them. You can also choose separate page layouts for each object type so that your notes look the way you feel they should based on the object type.
You can also create templates to help automate your workflows in specific object types. Do you have a layout you reuse over and over again to structure your meeting agenda, or your book reflection notes? You can create templates that can automatically populate new objects, so you can get straight to writing.
The daily note sits at the heart of our functionality. You get a fresh daily note every day that you can use however you see fit; as a scratchpad for quick notes, for interstitial journaling, for planning your day.
But the magic starts to happen when you create new objects in Capacities. You’ll see these new objects appear under your daily note in the ‘created today’ section. Every note you make is linked to a date and time. This way, you can easily trace back your thoughts to pinpoint them to a specific date.
If you can’t remember when you took notes on something, or when you had that really good idea, you can easily click through and find your note tied to your daily note, or under the created today section. Time is a central pillar of our philosophy, and the daily note helps us weave our thoughts and ideas together and place them concretely in moments in time.
You mentioned that Capacities is not trying to be an all-in-one tool. What will it do, and what will it not do?
Capacities is definitely not an all-in-one tool, and we’re not trying to build one. We’re very intentional about the features we develop because we don’t want to add superfluous features that would bloat the app and dilute from our core mission.
One is collaborative features. Capacities is an app for individuals and we don’t want people to feel pulled in multiple directions by notifications or other people’s presence in their workspace. You can’t do your best thinking if you feel like you have to filter every thought or idea before they are fully developed. It’s a thinking tool for your brain, not for other people’s brains.
We designed Capacities to sit at the heart of your creative workflow, where you can make sense of things for yourself, before you take your best work to other people in whatever collaborative space makes sense to you.
We also don’t want Capacities to become a fully-fledged task or project management app. We do support light task management, and the app is great for conceptualizing and doing research around your most important projects. But Capacities won’t replace a dedicated task or project management system for people who need power features.
Acknowledging that, we’ve implemented an integration that lets you send tasks to your dedicated task management app with a keystroke right from within Capacities.
The same logic extends to our calendar integration. Capacities works well together with your calendar app, enabling you to view all your events right within the daily note, to take notes on calendar events and to create new events from notes. But it could never fully replace your calendar app.
One of the integrations our users love the most is our Whatsapp integration: you can text your Capacities space from Whatsapp, and your text will appear in your daily note! This makes it super easy to get notes down into your space no matter where you are.
Our approach to integrations reflects our philosophy of simple and intuitive design. We want the app to just work for most users.
This is also the reason we are not offering a plugin architecture. We want the experience to be seamless and work out of the box without the need to tinker around to create the perfect setup. Plugins also tend to have issues with maintenance and support that requires users to constantly pay attention and reevaluate their setup.
What kind of people are drawn to Capacities, and how do they use it?
Capacities attracts people who are deeply engaged with their work but often feel overwhelmed by all the noise and complexity around them. Our users are researchers, students, founders, writers, and developers—people who want to focus on what really matters without spending hours setting things up or maintaining their system. That’s exactly what Capacities helps them do.
We’ve heard from many people with ADHD who say the app has completely changed how they take notes. The graph view, for example, feels natural to them—it mirrors the way their brains make connections between ideas. They love that they can finally stop worrying about keeping everything organized because the app does that part for them.
Others tell us that their entire workflow has clicked into place since they started using object types in Capacities. Once they got the hang of it, things just started to flow more naturally. They’ve noticed a big boost in focus and attention to detail, because the system now fits the way they think, not the other way around.
And one thing we’re especially proud of is how little setup Capacities needs. You make a few key decisions once, and then you can just use it. Even our own team members, who’ve been using it for years, rarely change their setup. That’s by design.
While plugins and endless customization can be fun at first, they often turn into tinkering instead of creating. Our users are passionate about their work, and we want to help them get straight to it—with as little friction as possible.
What about you, how do you use Capacities?
We both use Capacities in our daily lives in both personal and work contexts. Often it is hard to separate the two, but Capacities helps us create mental space and peace of mind.
Steffen: I know, I have to say this, but I honestly don’t know how I’d work without Capacities. It became a) my daily driver and b) my repository of thoughts and ideas, and a place to think. I use it every day for my tasks. I’m not a big fan of complicated task management. I use a linear list of To-Dos and projects to group my To-Dos.
However, I mainly use Capacities to process the books I read, jot down inspiring thoughts, and connect them with topics, projects and atomic notes. I track meetings and sessions and write down thoughts on everything I do in my daily notes.
Because I have been doing this consistently for a few years now, I have a very powerful idea network at my fingertips that I can browse. It allows me to jump into a thought train I had half a year ago, helps me make better hiring decisions, develop more consistent and thought-through arguments for the next blog article I write, or gives me an overview of all the ideas that went into a project before I’m defining the actual tasks for the team. For me, Capacities is about fun, curiosity, peace of mind, and clear thinking. I genuinely love it.
Michael: Capacities really is my daily companion—it’s open pretty much all day and quietly supports everything I do.
My day usually starts with some reading and writing as part of my morning routine, plus some light habit tracking. Capacities makes it easy to keep a reading journal, which has become a big part of how I process what I read. And with our new Readwise integration (currently in beta), that’s gotten even smoother.
When I’m ready to get into work mode, I plan my day using the daily note and a simple page where I keep my current tasks and to-dos. Nothing fancy, just what I need to stay focused.
Throughout the day, I’ll dip in and out of Capacities to capture ideas, think things through, or plan upcoming projects. Then in the evening, I like to log my workouts and jot down a few reflections about the day.
It might sound like a lot, but it never feels like busywork. I rarely have to stop and “organize” anything—it just flows naturally. The system adapts to my day rather than the other way around, which is exactly how I want it to be.
And finally… Looking ahead, what’s next for Capacities?
Our long-term goal is to develop more humane software to empower our users to do their best thinking. We should be bolstered by the tools we use, not hindered by them. We’re always working on making Capacities as intuitive as possible.
One of our overall goals is to help users make more intentional decisions across their day-to-day lives when it comes to consuming information. Maybe over time, after developing a note-taking practice, they will reach for Capacities as a quiet respite instead of doomscrolling on social media.
We are firm believers that by taking notes and engaging with your curiosities and the world around you, you can discover the things you’re truly passionate about and start engaging more deeply with things that bring you joy.
This can feel like a lofty statement from a note-taking app, but we truly believe that note-taking, which is in essence just paying attention and writing things down, can help you do this. We want to help our users live more intentional lives, whatever that looks like for them.
Thank you so much for your time, Steffen and Michael! Where can people learn more about Capacities?
Of course! You can visit our website to download our desktop app, and you can also find us across socials on YouTube, LinkedIn, and Instagram.
The post Building a studio for your mind: an interview with the founders of Capacities appeared first on Ness Labs.
2025-09-03 16:38:00
Last week, I found myself explaining the Burning Man tradition of “tutu tuesday” to my Algerian mother, then an hour later debating theories of consciousness with a fellow nerd on the internet. I wasn’t just switching languages – I was switching entire ways of thinking. And I was doing it without realizing it.
Most people think multiculturalism means passport stamps and foreign languages. But there’s a more powerful kind happening right in your head: cognitive multiculturalism: the mental flexibility and fluency you develop from experiencing different worlds.
Not different countries necessarily, but different neighborhoods, friend groups, books, jobs, or communities. It’s what happens when you’ve navigated a wide enough variety of contexts that your brain gets good at switching between ways of thinking depending on the situation.
When you’ve been exposed to different contexts, situations and perspectives, your mind develops multiple models and learns to pick the right one for the situation.
Your brain is essentially learning different codes for thinking and progressively becoming fluent enough to switch between them automatically.
For instance, people with diverse social networks develop better perspective-taking abilities. They become skilled at reading how others think and feel across different contexts.
You probably notice something similar when you consume different types of content. Think about how you adjust when switching between a philosophy book and a comedy podcast, or between watching a documentary and reading fiction.
Each requires you to adapt to different conventions and ways of understanding the world.
Studies also find that people who belong to lots of different groups and consider they have many identities are less prejudiced and more mentally flexible (which psychologists call “social identity complexity”).
When you see yourself as many things at once – whether that’s your profession, your neighborhood, your hobbies, your generation – you become more nuanced and flexible as a person.
And this kind of cognitive multiculturalism translates into real creative advantages. People with multicultural experiences are better at insight problems, making unexpected connections, and generating new ideas. Different experiences expand how you view the world, making it easier to combine ideas in new ways. So, how can you nurture your cognitive multiculturalism?
Cognitive multiculturalism gives you the mental agility to better navigate workplace dynamics, understand global events, or simply connect with people different from yourself. And you don’t need to move abroad or learn a new language. You just need to intentionally diversify three things:
1. Your inputs. That includes books, media, and ideas. Don’t just stick to your comfort zone. Read authors from different eras, geographies, or disciplines. Choose media that challenges your assumptions rather than confirms them. Each new way of thinking you encounter expands your cognitive map.
2. Your people. Expand and mix up your social circles by seeking out relationships across generations, professions, and backgrounds. Each person will offer a different mental model of the world, and exposure to these models will diversify your own.
3. Your identities. Don’t limit yourself to one role. Try on different versions of yourself. Experiment with taking up hobbies, joining new communities, or working in unfamiliar environments. Notice how your behavior shifts, and use that metacognitive awareness to expand your sense of self.
Most of us already cross more borders than we notice. We move between work and home, different groups of friends, different media diets. Just pay attention to those borders and push them a little further. That’s what cognitive multiculturalism really is: being deliberate about the diversity of experiences that shape how you think.
The post Cognitive Multiculturalism: Training Your Brain to Switch Between Worlds appeared first on Ness Labs.
2025-08-15 18:46:22
There’s a particular kind of mental math we all do, usually without realizing it. We add up achievements, subtract failures, and calculate whether we’re worthy of respect, love, or even basic self-acceptance.
The equation feels logical: land the dream job = valuable person. Write the perfect book = deserve happiness. Get 500 likes = temporarily acceptable human.
In essence, your brain treats self-worth like a balance sheet because of how it learned to navigate social rewards. This is called conditional self-worth and it’s surprisingly destructive. So why does our brain default to this exhausting scorecard system?
In the late 1980s, Psychologist Edward Higgins discovered we carry three versions of ourselves: who we are, who we want to be, and who we think others expect us to be. The bigger the gap between these selves, the worse we feel and the more desperately we chase achievements to close it.
This system gets wired early, with our dopamine circuits connecting external rewards to self-value. As kids, we learned that good grades = proud parents, winning = attention, being helpful = love. Jennifer Crocker and Connie Wolfe called these “contingencies of self-worth”, specific domains where we’ve learned to stake our entire sense of value.
The fear of not being worthy can drive short-term motivation, but research shows it ultimately increases anxiety, depression, and burnout. You become only as good as your last win, trapped in a cycle where the very pressure to prove your worth sabotages your ability to perform.
Fortunately, it’s possible to break free from this toxic form of mental accounting by decoupling your sense of self-worth from your performance.
Rewiring deeply ingrained conditional self-worth patterns isn’t easy, but it can have an outsized positive impact on your mental health. Here are three research-backed approaches that actually work.
1. Notice the self-worth accounting. Most conditional self-worth happens on autopilot. A meeting doesn’t go well and you’re suddenly questioning your entire career. Someone doesn’t text back and you feel fundamentally unlovable. The first step is simply noticing when these calculations start running. When you catch yourself doing the mental math (“If this project fails, I’m worthless”), pause and ask: “Is my worth really contingent on this one thing?”
2. Collect counter-evidence. Your brain learned that worth comes from achievement through years of reinforcement. To update this system, you need consistent examples of moments where you are valued without meeting any conditions. Spend time with people who appreciate you for being you, not for what you accomplish. Join communities built around shared interests. Notice how it feels to be valued for your humor, curiosity, or just your presence.
3. Diversify your self-worth portfolio. Instead of betting everything on one aspect of identity, spread your sense of self-worth across multiple domains. If work is a big part of your self-worth, experiment with creative hobbies. If you’re the “smart one,” try activities that highlight other qualities. Start small: take an improv class, join a hiking group, volunteer somewhere meaningful.
Breaking free from conditional self-worth takes time. You’ve spent years learning that your worth is tied to your performance, and that pattern won’t disappear overnight.
But here’s what happens when you start to separate the two: you take risks without betting your entire identity on the outcome. You stop treating setbacks like a personal crisis. You get back up faster because falling down doesn’t mean you’re fundamentally broken. Your brain stops wasting energy on constant self-evaluation and starts focusing on the work itself.
The post Breaking Free from Conditional Self-Worth appeared first on Ness Labs.
2025-08-07 18:55:48
In my book Tiny Experiments, I used Amelia Earhart as an example of a life lived through experimentation and adventure. Her willingness to try new things perfectly captured the spirit I wanted to encourage in readers.
To my surprise, some people pushed back: “She’s a terrible example,” they effectively said. “She was just a publicity puppet and look at the way she died.” (we don’t know for sure but she probably crashed into the Pacific Ocean during her attempt to circumnavigate the globe in 1937)
But I wasn’t asking readers to emulate everything about Earhart’s life, make the same career choices, or even share her particular relationship with risk. I was only drawing inspiration from one specific quality: her experimental mindset.
This got me thinking about how we approach role models. What if we stopped expecting them to be perfect in every area? What if we could take the best parts and ignore the rest?
The myth of the perfect hero creates an impossible standard. When someone we admire shows behavior we disapprove of, we feel disappointed and often throw out valuable lessons along with the flaws.
Philosopher Susan Wolf has written extensively about “moral exemplars” and the problems with expecting too much from role models. Take Martin Luther King Jr. His civil rights leadership remains inspiring despite personal complexities. Should we abandon his dream of equality because he wasn’t perfect in every domain?
Steve Jobs revolutionized product design but his interpersonal relationships were notoriously difficult. We can learn from his design thinking without copying his approach to people. We can admire Pablo Picasso’s creative courage while rejecting his personal behavior. Marie Curie’s scientific dedication can teach us about determination and curiosity, but we wouldn’t look to her as an exemplar for mentorship.
What’s interesting is that research shows we naturally pick and choose behaviors to model, which means we’re already building a patchwork of role models unconsciously. But when we consciously choose role models, we override this natural tendency and somehow demand perfection instead.
When we abandon the myth of the perfect hero, something liberating happens: we stop waiting for perfect moral exemplars and start learning from imperfect humans.
This is what happened with my Earhart example. Her willingness to explore and iterate perfectly embodies an experimental mindset. Her other choices, her relationship with fame, her tragic end… none of that mattered for what I needed to learn.
This is especially important in our social media age. We see curated versions of people’s lives that create unrealistic expectations. A patchwork approach to finding our role models reminds us that real people are complex, and that’s exactly why their strengths can be instructive.
Creating your own patchwork of role models doesn’t have to be complicated, but it does require some intentional thinking. Here are three strategies for curating inspiration without demanding perfection:
1. Identify a specific quality first. Don’t begin with the person and try to admire everything about them. Start with what you want to develop. Creative confidence? Leadership skills? Better boundaries? Once you’re clear on the specific quality, look for people who excel at that trait, regardless of their other areas. (also note, these people don’t have to be famous – a coworker, friend, or family member can be a great role model too!)
2. Set boundaries around your admiration. Be explicit about what you’re learning and what you’re not. You can even use specific language: “I admire Maya Angelou for her courage in writing about difficult experiences, but not necessarily her approach to relationships.” This metacognitive practice will create clarity about what supports your growth.
3. Allow for complexity and change. People evolve, and so does the moral context in which we evaluate them. Historical figures who were progressive for their time might seem problematic by today’s standards. Contemporary figures grow and change. Rather than seeing this as a problem, treat it as useful information, and periodically reevaluate your patchwork of role models.
As a bonus, if the person you admire is still alive, you might even tell them. It’s a great way to connect with others. A simple message like “I really admire X and Y about you / your work” can make someone’s day and maybe lead to a new or deeper connection.
The patchwork approach isn’t about lowering your standards, it’s about creating your own standards. Instead of passively admiring distant heroes, you become an active curator of wisdom. You see people as they are: complex beings with strengths and limitations.
This honors the full humanity of people we learn from rather than turning them into icons.
Most importantly, it makes us kinder to ourselves. If you don’t expect perfection from your role models, you’re less likely to demand it from yourself. You can pursue excellence in areas that matter while accepting you’ll always be a work in progress (see the “Intentional Imperfection” chapter in Tiny Experiments).
Your experimental mindset might be inspired by an aviator, your creative courage by a painter, your scientific rigor by a researcher. There’s no rule saying these qualities must come from one person.
The most inspiring life you can build will be uniquely yours, assembled from lessons learned and wisdom gathered from the imperfect humans who came before you.
The post Selective Admiration: Why You Don’t Need Perfect Heroes appeared first on Ness Labs.
2025-07-31 19:55:38
You’ve probably said it or heard it: “I work better under pressure.”
It feels true because when the deadline looms, your brain kicks into overdrive. That last-minute rush can feel productive (even thrilling!) but it’s not increased performance. It’s rushed performance to compensate for weeks of avoidance and inaction.
Procrastinating then rushing to finish a task isn’t about time management. It’s about emotion regulation. When a task feels uncertain or unpleasant, your brain looks for an escape hatch.
At the core of this dynamic is a conflict between two brain regions. In a simplified way, the limbic system (your emotional, reward-seeking center) wants comfort right now. The prefrontal cortex (your logical, future-planning center) wants long-term success.
But the limbic system can be faster and stronger. So unless you deliberately intervene, the part of your brain that prioritizes scrolling over writing that report will usually win.
What makes this even trickier is that there are long-term costs to procrastination. At first, you feel relief. But studies show that over time, procrastinators experience more stress, worse health, and lower performance.
That deadline high? It’s the trap. It rewards the brain for procrastinating, making you more likely to rely on panic again next time. Over time, this wires your brain to depend on urgency instead of intention.
So, how can you break this cycle without relying on pressure or guilt?
Procrastination isn’t a moral failure. It’s a natural brain bias toward immediate reward, but it comes with long-term costs. Each time you choose action over avoidance, you’re not just checking off a to-do, you’re teaching your brain to not rely on the deadline high. And there’s no need for self-blame in that process – just curiosity.
The post The Trap of the Deadline High appeared first on Ness Labs.
2025-07-25 22:50:18
Welcome to our Tools for Thought interview series, where we meet with founders on a mission to help us think better and work smarter. Arun Bahl is the cofounder of Aloe, a tool designed to support human cognition in our information-dense world – an AI computer that acts as a “superhuman attention.”
In this interview, we discussed how information overload hinders deep work and creativity, the power of metacognition, why we should aim to augment human thinking and not automate it away, the importance of mapping a problem space rather than just getting answers, and his plans to continue to develop tools that promote clarity of thought and align with shared human interests. Enjoy the read!
Hi Arun, thanks for agreeing to this interview! You’ve written extensively about the distraction economy and its impact on human cognition. Why do you think we need better tools to handle information overload?
Glad to be here! Absolutely. In short: the distraction economy is a Bad Thing for humanity. We already know that it’s bad for individual mental health, especially social media and its effects on young people. We know that it’s bad for us geopolitically, too – when we monetize the delivery of information independently of whether that information is true or not, we create poor outcomes for any society. Governance needs fact-based discourse.
But there’s a third crucial reason that has slipped under the radar to-date: information overload breaks human thinking. I’ll share an anecdote from our own cognitive science research: we spent a lot of time with Millennial and Gen Z knowledge workers getting to know their experiences and pain points, and across our studies there was a surprisingly unanimous baseline. These individuals all expressed the same emotional state: feeling brittle. Feeling stretched too thin, reacting to the next Slack message or rushing to a Zoom call, squeezing in an errand, never getting into deep work. Feeling like their “real” creativity was always a little out of reach.
The problem is much bigger than productivity, however. Let’s imagine modern human thinking as one app among several, running on our brains. When we overtax that modern thinking piece – overtax our attention – we have other apps that will increase their activity to fill in the gaps. Those other systems are prejudice. They are cognitive bias. They are the poor heuristics that make us more susceptible to mis- and dis-information, for example.
From the data, we find that human cognition didn’t evolve to handle this amount of information saturation. It’s just not the environment human thinking evolved for. This isn’t a personal productivity problem – it’s a civilizational one.
Humans must now adapt to a fundamental shift to our ecology of information. That’s why we started Aloe – to build the tools for human thinking to succeed, even in an information environment we are not evolved to handle. We think it’s the most important problem there is to solve today.
That’s why you decided to build an AI computer to address this fundamental mismatch between human cognition and our information environment.
Exactly. Today’s information world is too large for unassisted human cognition. Our species puts out two and a half quintillion bytes of data per day onto the Internet that we consume again each day. And human working memory is fixed at birth, at seven slots. The collision between these two numbers symbolizes the problem we’re trying to solve: the gap between the volume of information we have to contend with, and the biological limits of our attention. We need a superhuman attention that we can trust to help boost our own.
As an analogy: humans can only see colors from red to violet. That’s a small fraction of the electromagnetic spectrum, but we’ve long had tools that could see other wavelengths. Those tools take information from outside our visual range and change its representation, presenting it to us in the colors that we can see. Similarly, an AI computer must have attention that’s far greater than ours, but that knows how to present information to us when it’s important, and at the level of detail that’s appropriate to what we’re currently trying to achieve.
We call this ‘pinch-to-zoom’ for information. Just like with a map on my phone, Aloe lets us zoom in and out of any website, document, conversation, and know that at this level of zoom, you may not need to see every surface street, but the capital cities and freeways are still there.
Aloe pairs the most capable generalist AI agent with an intuitive graphical experience – an AI desktop, not just a chatbot. It knows how to present information in-context, like how to visualize and animate concepts within a large dataset, present the top-level items from a document, or engage you in a verbal conversation. You choose the right way to interact for your situation, headspace, and learning style.
Aloe also executes tasks on your behalf as you work together, and it understands collaboration and shared information. It uses tools, and even creates its own tools, as it works.
I’ve been an AI researcher for many years, but my background was in cognitive science. My cofounder and I are longtime Vipassana meditators. Aloe was born out of lifelong reflection on what humans need to think well. Not to automate us away, but to augment the thing that makes us human in the first place: our capacity for clear thought and creativity.
Let’s talk about how the Aloe agent actually works. You mentioned that Aloe can create tools when it encounters problems that existing tools can’t solve. How does this capability work in practice?
That’s right. As you work together, Aloe determines what its objective is, and makes a plan to achieve that objective. Just like other generalist agents out there, Aloe uses tools to help along the way. But importantly, when Aloe determines it needs a tool that doesn’t exist in order to accomplish something for you, it stops and creates that tool first. If it works, it keeps that new tool in its toolbox – remixing and growing its capabilities over time. An individual’s data is always kept private and secure – we take privacy very seriously. But as Aloe builds its toolbox, all users benefit simultaneously.
This is a new species of AI – internally, we nicknamed this version Aloe habilis. It’s what has allowed Aloe to already outperform every other generalist agent you’ve heard of on industry measures of intelligence like the GAIA benchmark. And we’re just getting started.
You’ve emphasized that Aloe has metacognition – the ability to think about its own thinking. Can you explain why this is crucial?
Metacognition is strategic skepticism. As smart humans, we all know to apply skepticism to the information we encounter in the world. We also know that the smartest humans don’t just question external sources – they apply that same skepticism internally, too. Why do I think what I’m thinking? Why do I feel this way? Can I bring that initial intuition into my conscious experience to learn something and make a better decision?
Similarly, Aloe is trained to question itself and recognize that it too is susceptible to a kind of cognitive bias. Language models inherit society’s biases from the internet data they’re trained on. Aloe is a neurosymbolic system that engages in symbolic reasoning beyond what LLMs can do. This reflective reasoning is essential because we don’t want an AI that just gives us answers – it must explain how it got there, and understand when it’s unsure.
How does it integrate with someone’s existing information ecosystem?
Aloe sees and understands the same information you do. It can connect to sources like websites, your email, Notion, Linear, Slack, Google Docs – and it can reference, and understand things before you’ve even seen them. We liken it to one smart trusted individual that has access, and you can interact naturally with them without having to manage individual conversations, apps, or agents and context windows.
A lot of the heavy lifting we’ve done is to learn how to make information self-organizing. Imagine that as you work, you’re moving through a map of your own knowledge of the resources, people, and processes that are important to what you’re trying to do. An AI computer like Aloe understands how to illuminate the knowledge neighborhood around where you are so that you can see and understand with clarity the most important questions and get verifiable answers. You become more effective, with less effort.
How did you approach building what you call a “synthetic mind” that can actually help humans think better?
Humans evolved to collaborate with other minds. Dunbar’s work on the evolution of human intelligence suggests that our brain size expanded to manage larger social communities – interacting with other minds is our native interface. It’s why humans anthropomorphize everything – cars, dogs, chatbots. Rather than fighting that, Aloe embraces it. It acts like a single smart individual that you get to bring with you everywhere, both on your desktop and mobile.
But for this to work, you need exceptional privacy and trust. Forget AI for a moment – how does human-to-human delegation work? You wouldn’t trust me with anything important unless you believe three things are true: that I can reason, that I have good information, and that we have aligned interests (I have no ulterior agenda). If any one of those isn’t true, you shouldn’t trust me.
The threshold for trusting an AI is no different. This is why, for example, our business model can never be based on advertising. If my goal is to always be selling you something, our interests aren’t fully aligned and I can’t be trusted. If my goal is to sell your data, absolutely do not trust me. We’ve built this foundation of trust directly into Aloe, but crucially, not in order to automate your thinking. Its job is to show you the concepts behind the information – not just give you answers – so you create understanding. Like showing your work in math class, Aloe reveals its reasoning so your mental map improves through the interaction.
What kind of people are drawn to Aloe, and how do they use it?
There’s a surprising variety. Professionally, they’re executives, consultants, designers, researchers, creators, and students – but they use Aloe in their personal lives just as much. They work in multidisciplinary teams, and sometimes solo. Work happens at a desk or on a smartphone. They don’t have separation between their work and personal lives anymore. They tend to be curious and intentional, and many already practice some form of digital hygiene or social media detox once in a while.
The common thread is that they context switch heavily – and want less time pressure and more spaciousness for the things that matter to them. They want tools that don’t get in the way. They’re aware they’d be better off with less noise. More presence. More creative time. They know they’re the best version of themselves when they have taken back control over their time and attention.
In everyday interactions, Aloe gives them time back by proactively helping them assemble their workspace – an information mise en place – so they don’t have to waste time trying to find relevant bits of data to dive into a project. Aloe shows them the provenance of their information. It helps them stay on top of things despite their back-to-back meeting schedules. It collects relevant information, briefs them on background from both public and private sources, and helps them discern what questions are important to ask. And Aloe helps them get into deep work mode more frequently, for longer – as they have delegated busywork away and freed up time to be goal-focused rather than task-focused.
What about you, how do you use Aloe?
I’m in it all the time – at my desk or out in the world – when I need to think or do. Where I really feel the biggest difference is when I’m working on something but I don’t have clarity yet – and the question I need to answer depends on combining a bunch of different kinds of information – my private notes, my team’s internal docs, prior conversations I’ve had, and public sources on the internet. I use Aloe fundamentally as a tool for visualizing, understanding, and talking through – not just getting an answer, but seeing the landscape of concepts behind the information so I can think clearly and decide where to go next.
And finally… Looking ahead, what’s next for Aloe?
We’re excited to open up Aloe for more people to use. Our earliest users are already shaping its development in big ways and telling us how they want to use Aloe next. We’re also partnering with some amazing teams in astrophysics and health tech, where privacy and advanced reasoning are critical and current solutions simply don’t cut it. And we’re hiring!
We’re just scratching the surface on Aloe. But more broadly, we want to make a case for the kinds of tools humanity deserves. Can we learn from the previous generation of tech and the ill-effects of dopamine mining? Can we steer ourselves away from cognitive offloading and the atrophy of our collective intelligence?
Can we understand the most important challenges we face, and build tools that help nudge us in the right direction?
In a world where anything can be automated, we believe clarity of thought will be a human’s defining trait. Seeing the larger picture, knowing what questions to ask, reclaiming personal agency. And making sure that our tools are deployed in concert with our shared human interests.
Thank you so much for your time, Arun! Where can people learn more about Aloe?
We’d love to have Ness Labs’ community join our priority waitlist to get earlier access. Use the following link. More info on us at our website, and our blog is a place to dig more into these ideas we’ve covered today.
You can also find us occasionally on X, BlueSky, or LinkedIn. And if you’d like to see Aloe in action, check out this short video.
The post Interview: The Future of Information with Arun Bahl, cofounder of Aloe appeared first on Ness Labs.