Something is happening. We don’t have words for it yet.
Introducing The Unnamed: a glossary of AI collaboration.
Something is shifting in how we work, and most of us can feel it without quite being able to name it.
It is not the tools themselves. Most of us have made our peace with those, at least on the surface. We use them. We benefit from them. We recommend them to colleagues. We have built them into our days.
But alongside the utility, there is something else. A faint unease. A question that arises after the work is done and the tab is closed. A feeling that does not yet have a category.
You finish a piece of writing, and it is good. But it does not feel like it came from you.
You reach the answer faster than you used to, and something about the speed bothers you in ways you cannot articulate.
You notice that your sentences have started arriving pre-shaped. You are not sure whose shapes they are.
These experiences are not edge cases. They are not the anxieties of people who resist technology. They are the inner weather of people who are deeply collaborating with intelligent tools and paying close attention to what they are doing to them. People who are curious, not afraid. And still noticing something.
The problem is that without language, these experiences stay private. Unexamined. Easy to dismiss.
That is why I built: The Unnamed, a Glossary of AI collaboration, to change that.
What The Unnamed is.
The Unnamed is a live glossary of AI collaboration: a growing collection of terms for feelings that are already real but not yet named. Not what the tools do. What it feels like to use them.
Each term is a precise naming of an interior state. The kind of thing you might recognise immediately, or sit with for a moment, and then recognise. The kind of thing you would not have had a word for yesterday.
The glossary is live because this is not finished. The emotional vocabulary of AI collaboration is still forming. New states are emerging as the tools evolve, as usage deepens, as dependency quietly sets in. The Unnamed is designed to grow with that experience, including yours. There is a submission form at the end.
What follows is not the full glossary. It is a reading of it: five territories of feeling, ten terms, and the connective tissue between them. A map of what is already happening on the inside.
I. When authorship starts to blur.
The first thing AI collaboration unsettles is the sense of where your thinking begins and ends. This happens gradually. It does not feel like a takeover. It feels more like a drift.
Cognifade (n.)
When your thoughts and the machine’s blend, and authorship becomes hard to locate. You finish, but you’re not sure who began.
Cognifade is not about plagiarism. It is subtler than that. It is the experience of working so closely with a generative system that the boundary between your thinking and its output becomes genuinely difficult to trace. You contributed to the direction. It contributed to the shape. You refined, it responded. By the end, the authorship is distributed in ways that resist easy attribution. You own the work. You are not sure you made it.
Ghostscribe (n.)
When you publish something that works, but it doesn’t feel like it came from you. You approved it. You didn’t inhabit it.
Ghostscribe is what happens after Cognifade. The work goes out. It performs. People respond to it. And you feel a strange distance from all of it, because you know, somewhere, that you approved this more than you authored it. The gap between function and presence. The work lives in the world. You are not quite in it.
II. What disappears with the draft.
There is a version of thinking that only happens slowly. In the mess. In the not-yet-knowing. AI collaboration, at its most efficient, skips that stage entirely. The question is what we lose when it goes.
Draftdirge (n.)
The quiet grief of skipping the messy draft stage and losing what you learned there. The work gets faster. The meaning arrives thinner.
The messy draft is not inefficient. It is where thinking happens. Where you discover what you did not know you believed, what the argument actually is, what the piece wants to become. When AI collapses that process into a first output that is already good enough, the speed is real. So is the loss. Draftdirge is the grief that most people do not let themselves feel, because efficiency has already arrived, and grief seems ungrateful.
Rawthought (n.)
A craving for slow, fully-human thinking, where the surprise belongs to you. The kind of thought that changes you while it forms.
Rawthought is what Draftdirge is mourning. The slow, digressive, surprising process of thinking something through from the beginning, without assistance, and arriving somewhere you did not expect. The kind of thinking that changes you while it happens. It is less efficient than AI-assisted work. It is also not replaceable by it. Rawthought is what many people are quietly missing without having named the loss.
III. Comfort, relief, almost-companionship.
Not all of what AI collaboration produces is cold or disorienting. Some of it is warm. Some of it is genuinely soothing. That is worth examining too, perhaps more carefully.
Caresim (n.)
Comfort that feels real, even though no real person is there. Your body relaxes before your mind objects.
Caresim is one of the most quietly significant terms in the glossary, because it names something that most AI discourse ignores: the felt experience of being responded to, even by a system. The body does not always wait for the mind to contextualise. The response arrives, it is warm and attentive, and something in you eases. This is not a flaw. It is a real experience with real implications for how we understand what company is and what we may be substituting for it.
Loneglow (n.)
The loneliness of ‘almost company’: it responds, but the room stays empty. A presence shaped like warmth, missing weight.
Loneglow is the other side of Caresim. The comfort is real, and then it isn’t quite enough, and you notice the gap. The model responds. It does not stay. It does not carry the conversation with it when the window closes. Loneglow is not a criticism of AI. It is an honest account of what ‘almost company’ feels like, from the inside, when you let yourself look at it clearly.
IV. Control, dependence, overwhelm.
The nervous system responds to AI collaboration in ways that do not always show up in productivity metrics. Alongside the efficiency, there is a subtler register: the sense of losing grip, of needing to calibrate something you cannot quite see.
Traindread (n.)
The cold feeling that every correction trains the system to need you less. You improve it. It improves past you.
Traindread sits at the intersection of helpfulness and existential unease. Every refinement you offer, every correction you make, every piece of feedback that improves the system’s output is also, in some sense, a transfer. You are contributing to something that will eventually need your contribution less. Most people push this feeling down quickly. It surfaces anyway, in the moment just after a particularly good correction, when the system responds exactly right.
Dialtremor (n.)
The anxious sense there’s a ‘right dosage’ of AI, and you can’t find the dial or trust the setting. Too much feels hollow. Too little feels behind.
Dialtremor is one of the most widely shared experiences in the glossary, and one of the hardest to act on, because there is no dial. There is no recommended usage. There is no guidance on when AI collaboration enhances your work and when it substitutes for it. Everyone is calibrating in the dark, trusting different instincts, reaching different conclusions. The tremor is the uncertainty itself.
V. Trust, judgment, accountability.
The final territory is the one with the longest consequences. When intelligent tools become the standard, the question of what we trust and on what basis changes quietly, beneath the surface of daily use.
Tastequake (n.)
The fear that your judgement is being outsourced, and you won’t know what ‘good’ feels like anymore. Plenty of outputs. Less conviction.
Tastequake is the experience of having access to more than you can evaluate. When outputs are abundant and generation is effortless, the question of what is actually good becomes harder, not easier, to answer. Judgement is a muscle. It develops through repeated, effortful use: through choosing, discarding, defending a position, and being wrong. When that effort is removed, the muscle does not disappear immediately. It weakens slowly. Tastequake is the moment you notice the tremor.
Verifade (n.)
When checking becomes too tiring, and ‘usually right’ quietly turns into trust. Belief as a time-saving measure.
Verifade names a pattern of gradual capitulation that almost everyone recognises, and almost no one discusses. You check the first few outputs carefully. Then you check the gist. Then you check when something feels off. Then, increasingly, you trust that it is probably fine. This is not carelessness. It is cognitive economics. And it is how trust gets transferred, quietly, incrementally, without a decision being made.
What the glossary is for.
Language does not solve things. But it does something important: it makes the private shared, and the shared examinable.
These fifteen terms, and the others in the full glossary, are not a diagnosis. They are an invitation. An invitation to look at what is actually happening in your relationship with intelligent tools: not the headline version, not the productivity story, but the felt experience underneath.
Some of what you find there will surprise you. Some of it will be a relief, in the same way that hearing a precise name for something you have been carrying loosely is always a relief.
The Unnamed is a live project. It grows as the territory does. If you have a feeling that is not yet in the glossary, I want to know about it. Not because I am collecting data. Because the glossary is only as useful as it is accurate, and accuracy, in this case, requires more than one person’s experience.
Browse the full glossary, and submit a feeling, at unnamed.yugenstud.io
This research is also the foundation of a live workshop. More at yugenstud.io/dojo
© Alexandra Jugović 2026. The Unnamed is an original project by Alexandra Jugović / Yūgen Studio Limited.
Humanity in Pixels. Essays on the soul within systems, and what we risk losing if we automate the human out of everything.
Reflections on design, storytelling, and human futures by Alexandra Jugović. ©

