AI terms, in plain English
No jargon for jargon's sake. Clear, honest definitions of the AI concepts that actually matter when you're building a real product.
Agentic AI
Agentic AI is software that pursues a goal by reasoning, planning, and taking actions across tools and systems — not just answering a prompt.
ReadRetrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is a technique where an AI model retrieves relevant information from your own data and uses it to ground its answer — so responses are accurate and current instead of guessed.
ReadLarge Language Model (LLM)
A Large Language Model (LLM) is an AI model trained on vast amounts of text to understand and generate human language, powering tasks like writing, summarizing, extraction, and reasoning.
ReadMulti-Agent Orchestration
Multi-agent orchestration is coordinating several specialized AI agents — each handling part of a complex workflow — so they work together reliably toward one outcome.
ReadIntelligent Document Processing (IDP)
Intelligent Document Processing (IDP) is the use of AI to read, extract, verify, and route information from documents — like invoices, KYC forms, or bank statements — with little or no human effort.
ReadComputer Vision
Computer vision is AI that interprets images and video — detecting objects, defects, text, or patterns — turning camera feeds into structured, actionable data.
ReadMLOps
MLOps is the set of practices for deploying, monitoring, and maintaining machine-learning systems in production reliably — the discipline that keeps AI working after launch.
ReadFine-Tuning
Fine-tuning is further training a base AI model on your own domain data so it performs better on your specific tasks, tone, and terminology.
ReadAI Pipeline (Data Pipeline)
An AI (or data) pipeline is the automated flow that collects, cleans, and feeds data into an AI model and delivers its output to where work happens — the plumbing that makes a model useful.
ReadVector Database
A vector database stores data as numerical embeddings so an AI system can find information by meaning rather than exact keywords — the retrieval engine behind most RAG systems.
ReadRobotic Process Automation (RPA)
Robotic Process Automation (RPA) is software that mimics the clicks, keystrokes, and data entry a person does across applications — running repetitive, rule-based tasks automatically and without errors.
ReadAI Agent
An AI agent is a piece of software that can take actions to complete a task — looking up data, calling tools, and working through multiple steps — rather than only answering a question.
ReadWorkflow Automation
Workflow automation is connecting the steps of a business process — approvals, handoffs, data entry, notifications — so they run automatically instead of relying on people to move each one forward by hand.
ReadOptical Character Recognition (OCR)
Optical Character Recognition (OCR) is technology that turns text in images and scans — a photographed invoice, a PDF, a form — into digital text a computer can read, search, and process.
ReadDemand Forecasting
Demand forecasting is using historical data and patterns to predict how much of a product or service customers will want in the future — so you can stock, staff, and plan for it instead of guessing.
ReadPredictive Maintenance
Predictive maintenance is using data from equipment to predict when a machine is likely to fail — so you fix it just before it breaks, instead of on a fixed schedule or after a costly breakdown.
ReadMachine Learning (ML)
Machine learning (ML) is software that learns patterns from examples rather than being explicitly programmed with rules — so it can make predictions or decisions on data it hasn't seen before.
ReadDeep Learning
Deep learning is a type of machine learning that uses layered neural networks to learn complex patterns directly from raw data — the technique behind image recognition, speech, and modern language models.
ReadAnomaly Detection
Anomaly detection is AI that learns what "normal" looks like in your data and automatically flags anything unusual — a fraudulent transaction, a failing machine, a security breach — the moment it happens.
ReadHuman-in-the-Loop (HITL)
Human-in-the-loop is a design where AI handles the routine work automatically but hands off to a person for the cases that need judgment, approval, or oversight — combining speed with accountability.
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