The Human-Dominant™ Spectrum

This table explains who was in charge in creation of each piece of work. Classification framework by Gleb Klivitkin.
This AI content labelling and its corresponding definitions will be consistent across this website. I invite you to use it if it is applicable to your needs, and I would appreciate your sharing the original source.
| Label | Who originates? | Who Executes? | Who refines? | Example |
|---|---|---|---|---|
| Human-Made | Human | Human | Human | A picture taken and edited by a Human |
| Human-Dominant™ | Human | Human | Human + AI | Essay written by a Human, reviewed and fact-checked by AI |
| Human-Outlined | Human, detailed outline | AI-generated | Human (substantial edits) + AI | Detailed prompt by Human -> AI draft -> Human + AI rewriting |
| AI-Led | AI | AI | Human edits | AI generates based on a prompt -> Human edits without structural change |
| AI-Generated | AI | AI | None or near-none | Prompt -> Output -> Minimal Edit |
Human-Dominant™ in Practice: A Worked Example
The About the Author page on this site was produced using AI as a research assistant, calculator, and editor. The author originated all biographical facts from memory, made all editorial decisions, and corrected the AI’s errors multiple times during production. Here is the production workflow:
22 production steps. 11 purely human (decisions, facts, corrections). 8 Human-Dominant (human-originated, AI-structured). 3 AI tool functions (web search, PDF extraction, arithmetic). 1 AI-Generated artefact – the Production Diagram.

Human-Dominant™ Spectrum: Single Prompt Examples
For example, I gave the same task to four different AI models across the five tiers of Human-AI involvement in production: write a concluding sentence for a paragraph in the Deep Lateralist manifesto. None of the models had prior context; Claude has a general awareness of my profile, but it was only used in the Human-Dominant case. The prompts and outputs below are unedited.
| Label | Prompt | AI model | Output | What to notice |
|---|---|---|---|---|
| Human-Made | None, the author wrote directly: “These are the costs of fires going wrong, and the firefighters see those in the darkess of their eyelids when those are shut down.” | – | – | Raw first draft. Typo intact. Two entangled thoughts (“shut down” = eyelids closing + human shutting down). Unmistakably written by someone who was there. |
| Human-Dominant™ | The author wrote, prompted AI: “Hey buddy! Please take a look at this draft and give me your feedback” | Claude | “These are the costs of fires going wrong, and the firefighters see those in the darkness of their eyelids when those are shut.” | AI untangled two compounded meanings and corrected a typo, as an editor would. Voice, origination, and meaning remain entirely the author’s. |
| Human-Outlined | I prompted in detail* with private lived experience: role, task, context (insomnia before shifts, visual replay behind closed eyes, embodied memory of impact), existing work, format. | ChatGPT | Long after the sirens fade, it is that impossible arithmetic — measured in seconds, weight, and impact — that returns in the dark and quietly collects the debt for every decision that did not go the way we needed.🚒 | The prompt contained private information that the AI could not have originated. The AI produced competent prose – then added a fire truck emoji to a sentence about people dying, missing the tonal nuance. |
| AI-Led | Moderate prompt**, structural guidance, no private information | Gemeni | For long after the ashes cool, it is the devastating weight of those unseen sacrifices from the blind side of the building that settles deep into a firefighter’s bones, lying dormant only to echo back with ruthless clarity not during the chaos of the next alarm, but in the treacherous, unguarded quiet of an otherwise ordinary afternoon. | “Unseen sacrifices” inverts the meaning: the sacrifices of which the author prompted are among the most viscerally visible things a firefighter can see. Note: “ashes cool” in the Gemeni model, and the “embers have cooled” in AI-Generated by Grok. |
| AI-Generated | Generic prompt: “Hi buddy! Please write a sentence to conclude a paragraph for me. The sentence is about the mental cost the firefighters pay in the quiet time for everything that went wrong on the fires.” | Grok | In the quiet lulls that follow the chaos, firefighters silently shoulder the heavy mental cost of every misstep and loss on the fire line, their minds replaying what went wrong long after the embers have cooled. | Generic, competent, says nothing a person who has never been near a fire couldn’t have written. “Embers have cooled” is the first metaphor any AI reaches for. No private information in, no private information out. Note: “ashes cool” in the Gemeni model, and the “embers have cooled” in AI-Generated by Grok. |
** Detailed prompt, full text (unedited): Hi buddy! Please, write a sentence about what firefighters remember and feel long after bad calls, and how they recall those memories at an inconvenient time, in the moments of quiet. It is a concluding sentence of a long paragraph that speaks about a newly-appointed fire captain being instructed by an old fire colonel to always check the building from behind to gather more holistic information about the incident, the helplessness of jumpers making a choice between certain death and the worst fear, and sometimes doing it to give a chance to their loved ones.
Human-Dominant™ work. The ideas, observations, and editorial decisions are mine. AI was used as a research assistant, formatter, and critic. 32 production steps. 19 purely human (decisions, facts, corrections). 6 Human-Dominant (human-originated, AI-assisted). 2 AI tool functions (table formatting, CSS). 3 AI test specimens (ChatGPT, Gemini, Grok). 2 AI recommendations (both addressed by the author).

