AI Agent
An AI agent is a software system that pursues a goal by deciding its own steps, calling tools, and acting on the results without a human directing each move. Unlike a chatbot, which answers one…
Posts published under the firm's name rather than an individual byline.
Posts on this page are published under the Argentix Consulting name rather than an individual byline.
An AI agent is a software system that pursues a goal by deciding its own steps, calling tools, and acting on the results without a human directing each move. Unlike a chatbot, which answers one…
An AI assistant is a software tool that helps a person get work done by understanding requests in plain language and producing drafts, answers, or summaries on demand. Unlike an AI agent, which acts…
AI ethics is the practice of making sure the AI a business uses treats people fairly, respects their data, and produces decisions someone can stand behind. Unlike AI safety, which asks whether a…
AI Overviews are the AI-generated summaries Google places at the top of many search results, answering a question directly instead of just listing links. Unlike the traditional blue-link results below…
AI safety is the practice of making sure an AI system behaves as intended and stays within limits you set, even when it faces inputs its builders never anticipated. Unlike AI ethics, which asks…
AI search is a way of finding information where a model reads your question, gathers relevant sources, and writes a direct answer instead of returning a list of links to sort through. Unlike…
Artificial general intelligence (AGI) is a hypothetical AI that could learn and perform any intellectual task a person can, across any domain, rather than being built for one narrow job. Unlike the AI…
Artificial intelligence is software that performs tasks normally requiring human judgment, such as understanding language, recognizing patterns, or making predictions from data. Unlike traditional…
Automation is the use of software to carry out a task or process on its own, so it runs reliably every time without a person doing the steps by hand. Unlike AI, which learns patterns and handles…
A chatbot is a software program that holds a text conversation with a person, answering questions and handling requests through a chat interface. Unlike an AI agent, which takes independent action to…
ChatGPT is a conversational AI assistant from OpenAI that answers questions, writes drafts, and helps with tasks through a chat interface powered by a large language model. Unlike a search engine…
Conversational AI is technology that lets software understand and respond to natural human language, so people can interact by talking or typing the way they would with a person. Unlike a rigid menu…
A copilot is an AI assistant embedded directly inside the software your team already uses, offering suggestions, drafts, and answers in the flow of work. Unlike a standalone chatbot you visit in a…
Enterprise AI is the practice of adopting AI tools with the controls a real business needs: data protection, access rules, vendor accountability, and clear ownership. Unlike consumer AI, which is…
Fine-tuning is the process of taking an existing AI model and training it further on your own examples so it adopts a specific style, format, or task. Unlike prompting, which shapes a model's behavior…
A foundation model is a large, general-purpose AI model trained on broad data that serves as the base other applications are built on top of. Unlike a narrow model trained for a single task like…
Generative AI is a class of AI that produces new content, text, images, audio, or code, in response to a prompt rather than choosing from fixed options. Unlike traditional software that follows…
Google Gemini is Google's family of foundation models and the assistant built on them, capable of working across text, images, audio, and video. Unlike a single chatbot, Gemini is both a model you can…
Guardrails are the rules and controls placed around an AI system to keep its behavior inside safe, approved boundaries. Unlike the model's own training, which shapes what it tends to do, guardrails…
A hallucination is a confident, plausible-sounding output from an AI model that is factually wrong or entirely made up. Unlike a system that returns an error when it does not know, a model that…
A large language model (LLM) is an AI system trained on vast amounts of text to predict and generate language one piece at a time. Unlike a search engine that retrieves existing pages, an LLM composes…
Machine learning is a type of AI in which a system learns patterns from data and uses them to make predictions, rather than following rules a person wrote by hand. Unlike traditional software, where a…
Multimodal AI is AI that can work with more than one type of input or output at once, such as text, images, audio, and video together. Unlike a text-only model that reads and writes words, a…
Natural language processing (NLP) is the field of AI focused on getting computers to understand, interpret, and generate human language. Unlike a system that needs data neatly structured into fields…
OpenAI is an AI research and product company that builds the GPT family of models and the ChatGPT assistant most people first meet AI through. Unlike an open-source project you host yourself, OpenAI…
Perplexity AI is an answer engine that responds to a question by searching the live web and then writing a short, cited summary of what it found. Unlike a traditional search engine, which hands you a…
A prompt is the instruction you give an AI model that tells it what you want it to do or produce. Unlike a search query, which just looks up existing pages, a prompt is a request the model reads and…
Prompt engineering is the practice of designing and refining the instructions you give an AI model so it reliably produces the output you need. Unlike a one-off lucky prompt, prompt engineering is a…
Responsible AI is the practice of building and using AI systems in ways that are fair, transparent, secure, and accountable to the people they affect. Unlike a purely technical checklist, responsible…
Retrieval-augmented generation (RAG) is an AI method that looks up relevant documents before it answers, so the model responds from that retrieved material instead of memory alone. Unlike a plain…
Search intent is the actual goal behind a query: what the person typing it is really trying to find, do, or decide. Unlike a keyword, which is just the words on the screen, search intent is the need…
Training data is the collection of text, images, or other examples an AI model learns from to build its abilities. Unlike the prompt you type in the moment, which the model reacts to live, training…
AI content optimization is the practice of writing and structuring your website content so AI answer engines can read it, understand it, and cite it accurately. Unlike traditional SEO, which aims to…
AI crawlers are automated bots that visit websites to collect content for AI companies, either to train models or to fetch live answers for tools like ChatGPT and Perplexity. Unlike a traditional…
AI keyword research is using AI tools to find the words, questions, and topics your customers actually search for, and to understand the intent behind them. Unlike manual keyword research, which leans…
An AI plugin is an add-on that connects an AI model to an outside tool or data source so it can do things beyond just generating text. Unlike the core model, which only knows what it was trained on…
AI SEO is a set of content and technical practices that make your business easy for AI systems to find, understand, and cite when they answer a user's question. Unlike traditional SEO, which competes…
Answer engine optimization (AEO) is the practice of structuring your content so tools that give direct answers, like AI assistants and voice search, pull the response from you. Unlike classic search…
An application programming interface (API) is a defined set of rules that lets two software systems request things from each other and exchange data in a predictable way. Unlike a user interface…
BERT is a language model from Google that reads a sentence in both directions at once to understand the meaning of each word from the words around it. Unlike the generative models that write new text…
Emergent behavior is a capability that appears in a large AI model without being explicitly programmed, arising from scale and training rather than a designed feature. Unlike a coded function, which…
Generative engine optimization (GEO) is the practice of shaping your content so generative AI tools cite and recommend your business inside the answers they write. Unlike traditional SEO, which…
Quantum computing is a form of computing that uses the rules of quantum physics to represent and process information in ways a normal computer cannot. Unlike a classical computer, which stores each…
Reasoning, in AI, is a model's ability to work through a problem in steps, weighing information and following a chain of logic, before it commits to an answer. Unlike a quick pattern-matched reply…
Semantic search is a search method that matches on the meaning of a query rather than its exact words, returning results that fit your intent even when the wording differs. Unlike keyword search…
A token is the small unit of text, a word, part of a word, or a character, that an AI language model reads and generates one piece at a time. Unlike a whole word, which is how people count text, a…
The cost of large language models is the total spend required to use them, spanning per-token usage fees, subscriptions, integration work, and the staff time to run them well. Unlike a flat software…
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