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A

The top-level organizational entity in Praxis AI. An account can contain multiple Digital Twins (instances), manage billing, and oversee users across the organization. Accounts enable centralized credit management and administrative controls.
A specialized tool or connector that extends a Digital Twin’s capabilities. Agents can perform specific tasks like searching Canvas, sending emails, executing code, or connecting to external APIs. They are configured per instance by administrators.
A reusable prompt template that guides how a Digital Twin responds to specific types of requests. Assistants can be personal (user-created), instance-level (shared within a Digital Twin), or account-level (shared across all twins). They automate workflows and ensure consistent, specialized responses.

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C

The connection between Praxis AI and Instructure Canvas LMS. Available via LTI 1.3 protocol or Theme injection, allowing Digital Twins to appear directly within Canvas courses for seamless student and faculty access.
A configuration that links a Digital Twin to external services or MCP (Model Context Protocol) servers. Connectors enable agents to interact with third-party tools and data sources.
A session of back-and-forth dialogue between a user and a Digital Twin. Conversations maintain context and history, can be named for easy reference, and are stored for future retrieval.
Real-time speech-to-speech conversation feature. Users can speak directly to their Digital Twin and receive verbal responses, supporting 99+ languages with customizable voices.
The currency that powers AI interactions on the Praxis platform. Credits are consumed with each request based on complexity (typically 1-2 credits per interaction). Credits can be pooled at the instance level or managed individually per user.

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D

An AI-powered virtual assistant with a unique personality, knowledge base, voice, and appearance. Digital Twins are the core product of Praxis AI—intelligent consultants available 24/7 to answer questions, perform tasks, and provide personalized support. Also referred to as an “Instance.”

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E

Numerical representations of text that capture semantic meaning. When documents are uploaded to the IP Vault, they are converted into embeddings to enable intelligent vector search and RAG (Retrieval-Augmented Generation).
Permissions that define what actions a user can perform within a specific Digital Twin instance. Entitlements control access to features like file uploads, assistant creation, admin settings, and more.

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G

The Digital Twin Creator assistant. Gepetto helps users design and configure new Digital Twins by guiding them through creating prompts, personalities, and visual identities.

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I

A deployed Digital Twin environment with its own configuration, users, knowledge base, and settings. “Instance” and “Digital Twin” are often used interchangeably. Each instance has a unique Public ID for API integrations.
The secure document storage system where users upload files to train their Digital Twin. Documents in the IP Vault are processed, embedded, and made searchable via RAG, enabling the twin to provide contextually accurate answers based on proprietary content.

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L

Educational platforms like Canvas, Moodle, Blackboard, and D2L Brightspace. Praxis AI integrates with LMS platforms to provide in-context AI assistance for students and faculty.
An industry-standard protocol for integrating external tools into LMS platforms. Praxis AI supports LTI 1.3 for secure, seamless Canvas and other LMS integrations.

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M

An open protocol for connecting AI models to external tools and data sources. Praxis AI includes an MCP server that exposes Digital Twin capabilities to other AI systems, enabling sophisticated agentic workflows.
Information that a Digital Twin retains about users and conversations. There are three types:
  • Conversation History: Past messages in a specific conversation
  • User Memory: Personal preferences and facts about an individual user
  • Shared Memory: Information accessible across all users of a Digital Twin
The Praxis AI backend infrastructure that orchestrates Digital Twin interactions. Middleware handles authentication, routes requests to AI models, manages RAG searches, executes agents, and maintains conversation state.
Automatic content monitoring that detects and flags inappropriate user interactions. When enabled, moderation alerts are sent to designated administrators when violations occur.

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P

A setting that allows all users of an instance to draw from a shared credit pool rather than individual allocations. When pool credits are depleted, interactions pause until credits are replenished.
The flagship Digital Twin created by Praxis AI. Pria serves as both a demonstration of platform capabilities and a practical AI assistant designed to teach prompt engineering skills.
The instructions that define a Digital Twin’s personality, behavior, knowledge focus, and response style. Also refers to user messages sent to a Digital Twin.
A unique identifier assigned to each Digital Twin instance. Used for API integrations and system connections. Should be kept confidential.

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R

A technique that enhances AI responses by retrieving relevant information from a knowledge base before generating answers. RAG grounds Digital Twin responses in your actual documents, reducing hallucinations and ensuring accuracy.
A user’s permission level within a Digital Twin instance. Common roles include:
  • User: Standard access to converse and use basic features
  • Admin: Full access to configure settings, manage users, and view analytics

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S

Pre-built code libraries for integrating Praxis AI into applications. The JavaScript SDK enables web applications to embed Digital Twins with features like messaging, UI control, and event handling.
A time-bounded period of user activity with a Digital Twin. Sessions track when users are actively engaged and provide analytics on usage patterns.
A type of memory that stores information accessible to all users of a Digital Twin. Useful for institutional knowledge, FAQs, or data that should be consistent across all interactions.

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T

A method of embedding Praxis AI into Canvas by injecting code via the Canvas Theme Editor. This approach provides a branded, always-available Digital Twin experience without requiring LTI configuration.
A unit of text processing for AI models. Tokens represent pieces of words (roughly 4 characters each). API pricing and context limits are often measured in tokens.
Capabilities that Digital Twins can invoke to perform actions beyond text generation. Examples include web search, image generation, code execution, Canvas operations, and memory management.

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U

Personal information and preferences that a Digital Twin remembers about an individual user. User memory enables personalized responses that adapt to each user’s communication style and needs over time.

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V

Dynamic placeholders in assistant prompts that are replaced with actual values at runtime. Variables enable creating flexible, reusable assistants that adapt to different contexts (e.g., {{user_name}}, {{course_id}}).
A feature (via 11Labs integration) that allows Digital Twins to speak with custom, cloned voices. Organizations can create unique voice identities for their twins.

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W

The integration method for embedding Digital Twins into custom web applications. The Web SDK provides authentication, UI components, and APIs for full programmatic control.
Can’t find a term? Contact our team to suggest additions to this glossary.