Ventures: experiments that turn ideas about complexity into working tools.
Alongside our studio work and public research, we build tools. We explore how ideas from complexity, design and philosophy can take practical form. Some become products. Others remain prototypes, frameworks or open explorations.
These tools are created slowly and intentionally, often starting as personal experiments before expanding into something others can use.
Algoasis
The internet stopped helping us explore and started deciding for us. Algorithms optimized for engagement, not enrichment. We built Algoasis to give you back control.
Ten minutes of engineered junk and ten minutes of meaningful content are not the same thing. But your device can't tell the difference, it just sees "10 minutes on YouTube."
Algoasis recognizes what type of content is on your screen — videos, articles, feeds, recommendations, and gives you the tools to filter, limit, or redirect based on what you're actually trying to do.
Understand and change the environment for depth, not fragmentation.
Principles
1. Understand your content consumption
Most digital tools measure time, but time alone tells us very little.
Ten minutes spent reading an article is not the same as ten minutes scrolling a feed. Watching a lecture and watching algorithmic recommendations may look identical in a usage report, even though they shape attention very differently.
Algoasis focuses on the type of content being consumed. By recognising whether you are reading, watching long-form video, browsing recommendations or scrolling short-form feeds, the system can reveal patterns that traditional screen-time metrics miss.
Understanding these patterns is the first step toward changing them.
2. Set boundaries that actually hold
Most digital boundaries rely on willpower. A timer expires, a notification appears, and a single tap removes the limit.
In environments designed to capture attention, these kinds of boundaries rarely last.
Algoasis introduces structural limits instead of reminders. Websites, feeds or categories can be limited across devices, with rules that apply consistently regardless of where the content appears.
The goal is not strict restriction, but creating boundaries that support the intentions people already have.
3. Hide distracting content
Not all information deserves equal visibility.
Feeds, autoplay recommendations and infinite scroll systems constantly introduce new stimuli that compete for attention. Even when we arrive with a clear intention, these systems redirect us toward something else.
Algoasis allows distracting elements to be removed from the environment entirely. Recommendations, suggested videos, comment feeds or short-form loops can be hidden so that the content you actually came for remains visible.
By simplifying the environment, attention becomes easier to sustain.
4. Redirect attention when tempted
Distraction rarely appears at random. It tends to happen at predictable moments — opening a new tab, finishing a video, or pausing between tasks.
These small gaps are where recommendation systems and feeds step in, offering the next piece of content before we’ve had a chance to decide what to do next.
Algoasis intervenes at these moments.
Instead of sending users deeper into algorithmic content, the system reminds them of the tasks and goals they’ve already set for themselves. A to-do list, a reading goal, or a task they intended to complete can appear right when distraction is most likely.
The goal is not to block behaviour, but to reconnect users with their original intention.
Visit algoasis.com to learn more.
In development
Not every idea becomes a product.
Many begin as small experiments, tools built to explore how systems shape behaviour, learning and decision-making.
Some of these experiments will appear here as they mature.
