Every Profession Hits the Same Wall
October 14, 2026 · #ixo #ai
Contents
Every profession hits the same wall. I ended my last article there: at Arteki, AI helped a small team finish an animated feature by taking on part of the labor. I came up against that limit myself, with a company to run and more happening at once than I could hold in my head.
Most people use AI as a search engine or a tool for their profession. They ask it to write a piece of text or help with code. The question comes from work, so work is all the system gets to see. Yet the rest of your life affects what you get done. Bad sleep shows up as a bad week at work. Money pressure follows you to the dinner table. From inside those situations, the connections are hard to see: you are busy dealing with whatever needs attention now.
What I gave the system
A few years ago, I started exploring how AI could help me remember more and examine a situation more thoroughly. Then the question became personal. During the hardest period for the company, I was dealing with obligations and negotiations while people were waiting for decisions. The negotiations had a history, and a decision in one discussion could change the situation in another. Some decisions came down to choosing among bad options.
In every new conversation, earlier promises mattered, along with my understanding of the other person’s position. I could remember an exchange and still miss its connection to what had happened since. As events accumulated, it became harder to keep the whole situation in view.
An isolated chatbot answer was useless in that setting. I could ask a clear question and get a plausible response, but I was giving the system only part of the information. Details from earlier negotiations and the commitments involved could be missing from my account. The work of checking whether the answer fit the situation came back to me.
I began giving the system the full context. I described what was happening, including earlier conversations and the promises involved. I also explained how I had understood the situation before and what had changed since. I wanted it to compare all of that and test the assumptions I had come to treat as facts.
When preparing for a difficult conversation with a partner, I worked through the earlier exchanges with the system. What had each of us said? Which commitments did we need to take into account? I used it to explore possible ways the discussion could unfold, with the history in view. That preparation helped me examine my own position and think through the next move.
Checking my assumptions became just as useful. The system compared what I thought about a situation with the messages and decisions behind it. It found contradictions and connections between things I had been considering separately. I could examine a possible next action against that wider picture.
As I gave it more of that picture, it began finding ways forward I had missed. It helped me get through that period and left me better equipped to protect my relationships with partners. I still had to decide what mattered to me and what I was prepared to do. My conscience remained my own, along with responsibility for the consequences.
My team has been working this way for a long time too, inside our day-to-day operations. That experience gave the method its name: an intellectual exoskeleton. I could hold more of a situation in view and examine more possible paths while remaining the person making the decision. I decided to turn that method into a product someone could use to work through their own problem.
The lesson was simple: the more context I gave the system, the more it could help. A question about work might have its roots in what was happening at home. An apparently new problem could make sense alongside an earlier decision. Seeing my life as a whole gave me more room to act. I remained myself, with a clearer view of the choices in front of me.
An exoskeleton for your thinking
iXo is a tool for solving problems, built around my way of working with AI. Over the past two years, this method has helped me solve the hardest problems in my life. You bring a problem or a goal and begin the conversation in ordinary language. After your first answer, it keeps asking to understand what is behind it. What you tell it becomes a personal map of your life, connecting work, money, health, family, and home.
Take the example of someone whose afternoons have become heavy. They put it down to age and come to iXo with that explanation. As the conversation continues, they describe their nights and their evening habits. A possible pattern emerges in what they share: the fog follows short nights, and those short nights appear connected to what they drink at dinner. That gives them something specific to check against their own experience.
iXo works with what the person has shared and explores how the parts fit together. On that basis, it suggests a goal and a path toward it, step by step. The person chooses which direction to take.
Imagine a two-ton boulder you need to move with your two hands. Equipment changes what you can do. A physical exoskeleton gives your body more capacity; an intellectual one extends what you can consider and work through. You still move the boulder and choose where it goes.
iXo works in a single browser window, where people can talk to it by text or voice. Its public launch is planned for November 6, 2026.
The choice stays with the person
The order matters to me. First comes the person’s account, then the questions that help clarify it. Advice follows that work. A suggested goal is something to consider, and the person retains the choice and the responsibility. They also decide how much of their life to share.
With health questions, iXo helps a person prepare for a conversation with a qualified specialist and directs them there. The same boundary holds for financial and legal matters.
If one person can do more with a system that sees the full context of their life, what could a community of people supported in the same way achieve when one system sees their shared context? Could they take on challenges beyond the reach of any individual or company?
We’ll show what this adds up to on Oct 16, 2026, at ATOM Global AI Expo in Minsk.