Learn the language of automation.
A simple guide to the terms we use every day. Clear explanations to help you understand how the technology works.
AEO
Answer Engine Optimization: helping AI chat and search surfaces return clear, source-backed answers.
Tags: Search, MarketingAI Automation
Automations powered by models that can read, decide, and act with your data.
Tags: Automation, SystemsAI Chat Interface
A chat-shaped surface that lets users talk to an AI inside your product.
Tags: Assistants, UXAI Compliance
Meeting legal and policy requirements when you build and run AI features.
Tags: Compliance, RiskAI Decision Making
Using models to choose or recommend actions based on data and goals.
Tags: Product, BasicsAI Deployment
The process of serving a trained model so real users and systems can call it.
Tags: Ops, BasicsAI Governance
Policies, processes, and oversight that guide how AI is built and used.
Tags: Governance, RiskAI Hallucination
When an AI confidently makes up facts or details that are not grounded in real data.
Tags: Risks, LLMsAI Integration
Connecting an AI model to your product or process so it can act on real data.
Tags: Basics, IntegrationsAI Knowledge Base
A living library of answers and sources that an AI can search to respond accurately.
Tags: Data, DocsAI Model
The learned function that maps inputs to predictions, decisions, or generated content.
Tags: Basics, ModelingAI Personalization
Using AI to tailor content and actions to each person’s context and history.
Tags: Product, BasicsAI Platform
A set of tools and services that let you build, ship, and manage AI features in one place.
Tags: Platforms, SystemsAI Recommendation
Models that suggest the next best item, action, or piece of content.
Tags: Product, BasicsAI Search
Search that understands meaning, not just keywords, to surface the best answer fast.
Tags: Search, RAGAI Security
Protecting models, data, and outputs from abuse, leaks, and tampering.
Tags: Security, GovernanceAI System
All the pieces that make an AI feature work: models, data, tools, and guardrails together.
Tags: Basics, SystemsAI Training
Teaching a model with data and feedback so it learns patterns that generalize.
Tags: Modeling, BasicsAlgorithmic Bias
When AI creates unfair outcomes because of prejudices in its training data.
Tags: SafetyAPI
A set of rules that let one piece of software talk to another.
Tags: Basics, IntegrationsAugmentation
The process of using AI to enhance human capabilities and productivity rather than replacing them.
Tags: Strategy, Human-AIFine-tuning
The process of training a pre-existing AI model on specific data to make it an expert.
Tags: MechanicsFoundation Model
A large-scale AI model trained on vast data that serves as a base for many applications.
Tags: ConceptsFunction Calling
The ability of an AI to connect to external tools and execute code rather than just talking.
Tags: CapabilitiesLabor Substitution
The direct replacement of human tasks and roles with automated AI systems.
Tags: Strategy, EconomicsLLM
A Large Language Model: a neural network trained to predict the next token and generate text.
Tags: Basics, LLMsLPU (Language Processing Unit)
Thinking chips designed specifically for running LLMs at extreme speeds.
Tags: HardwareSentiment Analysis
AI that determines the emotional tone behind a piece of text.
Tags: ConceptsSEO
Search Engine Optimization: helping web content rank and get discovered in traditional search.
Tags: Search, MarketingSLM (Small Language Model)
A compact AI model designed for efficiency and specific tasks rather than general knowledge.
Tags: ModelsSupervised Learning
Training AI using labeled examples, like a teacher with an answer key.
Tags: MechanicsSynthetic Data
Fake data created by AI to train other AI models.
Tags: Training