LLMography
Canonical

Verification strength

How independently a claim or action is checked before it is accepted.

Formal definition

Verification strength. A canonical LLMography term. See the formal definition in the article below.

Formal definition

Verification strength is the independence, coverage, and consequence of checks applied before an intermediate or final result is accepted.

In plain language

Verification strength 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. Verification strength 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: Verification strength. LLMography research site.