AI designed to pursue a goal by planning or taking a sequence of actions, rather than only producing a single response.

Technology that performs tasks commonly associated with human intelligence, such as understanding language, recognizing patterns, making recommendations, or generating content.

A software system that can interpret a goal, choose actions, use tools or information, and complete parts of a task with some autonomy.

The policies, roles, controls, and oversight used to ensure AI is deployed and used responsibly, securely, and consistently.

A defined way for software systems to exchange data or request actions from one another.

A standard or unchanged condition used as a comparison point in an experiment.

A measurable indicator associated with patterns in how the brain processes or responds to information.

A simplified label for a recurring pattern of communication or information-processing tendencies identified through an assessment model.

A recurring tendency in how a person notices, organizes, interprets, or communicates information.

A person’s typical way of expressing ideas, asking questions, emphasizing detail, and responding to information.

The language model used to generate responses in a controlled experiment.

A HermanScience assessment intended to identify behavioral and communication tendencies using a visual-neuroscience-based methodology.

A statistic commonly used to describe how consistently a set of assessment items measures a related concept. Values are typically reported from 0 to 1 or as a percentage.

A language model used to score or assess outputs produced in an experiment.

AI that creates new content—such as text, images, audio, video, or code—based on instructions and learned patterns.

A rule, control, or check intended to keep AI use within approved boundaries.

A response that sounds plausible but contains information that is invented, unsupported, or incorrect.

A HermanScience offering for creating or using AI agents that perform defined tasks and can incorporate behavioral or workflow context.

A HermanScience product focused on using behavioral insight to improve and personalize outreach, messaging, and engagement.

A technical integration layer intended to connect HermanScience capabilities with partner or enterprise applications.

A name used for learning, training, or course-delivery capabilities associated with the HermanScience platform.

The umbrella platform that brings together HermanScience assessment data, behavioral intelligence, prompting, engagement, agents, transformation, and integration capabilities.

A HermanScience product intended to help users create clearer, more structured, personalized, and risk-aware prompts for AI systems.

A translation and transformation layer that applies behavioral, structural, and usage context to human input before it is sent to an AI model.

Differences in how people describe the same goal, provide context, structure instructions, and judge an AI response.

The fit between how a person expresses intent, how an AI system interprets it, and how the resulting response supports the task.

Insight into how people communicate with, interpret, trust, and use AI—and how those interactions can be improved.

The use of detailed individual or contextual information to tailor a message, experience, or recommendation more precisely than broad audience segmentation.

An AI model trained on very large collections of language data so it can interpret and generate text and other language-based content.

A language model operated on a local computer or within an organization-controlled environment rather than only through a public hosted service.

The ability to use or choose among more than one large language model through a common experience or workflow.

The practice of designing and refining instructions, context, examples, and constraints to guide an AI model toward a useful result.

An attempt to manipulate an AI system through instructions that override, conflict with, or exploit its intended rules.

Adjusting an AI instruction to reflect the user’s communication tendencies, task, context, or desired way of receiving information.

A method that retrieves relevant information from approved sources and supplies it to an AI model when generating a response.

A small unit of text processed by a language model. A token may be a whole word, part of a word, punctuation, or another text fragment.

The number of tokens processed as input and generated as output during an AI interaction or workflow.

A system placed between a user and an AI model that restructures, enriches, or adapts the user’s input before it reaches the model.

Visual neuroscience is the scientific study of how the eye and brain process light to create visual perception