LLMography
The science of reconstructing, measuring, and auditing Human–AI decision trajectories.
Formal definition
LLMography. A canonical LLMography term. See the formal definition in the article below.
Formal definition
LLMography is the analytical discipline concerned with reconstructing Human–AI decision trajectories so that interaction, looping, and system-level provenance can be observed, attributed, and audited.
In plain language
LLMography is not a dashboard widget. It is a way of naming a part of Human–AI work that otherwise disappears into logs, chat history, or an unexamined final answer.
Why it matters
As systems move from prompts to agents and loops, decisions are produced across many steps. Without this concept, those steps remain difficult to reconstruct, compare, or audit.
Diagram
The signature object of LLMography is a trajectory: human, model, tool, observation, verification, revision, decision. LLMography occupies a distinct position on that object.
Related metrics
See the proposed measures for loop autonomy, verification strength, and decision-trace completeness. These are research indicators, not certified scores.
Example
A recommendation is issued after a tool call fails verification and a human requests a narrower claim. Reconstructing that path is an instance of this concept in use.
Citation
Bousmah, M. LLMography concept note: LLMography. LLMography research site.