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.
Agents
Software that uses an LLM plus tools to plan and execute tasks toward a goal.
AI Alignment
The field of ensuring AI systems do what humans actually want them to do.
AI Analytics
Measuring how an AI system performs so you can improve quality, cost, and safety.
AI Automation
Automations powered by models that can read, decide, and act with your data.
AI Chat Interface
A chat-shaped surface that lets users talk to an AI inside your product.
AI Compliance
Meeting legal and policy requirements when you build and run AI features.
AI Decision Making
Using models to choose or recommend actions based on data and goals.
AI Deployment
The process of serving a trained model so real users and systems can call it.
AI Engine
The core service or model that powers AI features behind the scenes.
AI Governance
Policies, processes, and oversight that guide how AI is built and used.
AI Hallucination
When an AI confidently makes up facts or details that are not grounded in real data.
AI Inference
Running a trained model to get an output for a real request.
AI Integration
Connecting an AI model to your product or process so it can act on real data.
AI Knowledge Base
A living library of answers and sources that an AI can search to respond accurately.
AI Model
The learned function that maps inputs to predictions, decisions, or generated content.
AI Monitoring
Watching model quality, cost, and safety in production so you can react fast.
AI Optimization
Tuning prompts, models, and settings to improve quality, speed, and cost.
AI Personalization
Using AI to tailor content and actions to each person’s context and history.
AI Platform
A set of tools and services that let you build, ship, and manage AI features in one place.
AI Prediction
Using a model to forecast an outcome or score before it happens.
AI Recommendation
Models that suggest the next best item, action, or piece of content.
AI Search
Search that understands meaning, not just keywords, to surface the best answer fast.
AI Security
Protecting models, data, and outputs from abuse, leaks, and tampering.
AI Software
Software that bakes AI into the product so users get smarter help by default.
AI System
All the pieces that make an AI feature work: models, data, tools, and guardrails together.
AI Temperature
A setting that controls how predictable or creative an AI model’s outputs are.
AI Tool
A focused app or feature that uses AI to solve one job well.
AI Training
Teaching a model with data and feedback so it learns patterns that generalize.
AI Wrapper
An application that adds a user interface on top of an existing AI model.
Algorithmic Bias
When AI creates unfair outcomes because of prejudices in its training data.
API
A set of rules that let one piece of software talk to another.
Artificial General Intelligence (AGI)
A hypothetical AI that can learn and solve any intellectual task a human can.
Augmentation
The process of using AI to enhance human capabilities and productivity rather than replacing them.
Automation
A set of steps that run on their own so work moves forward without manual clicks.