AI agent
An AI system that doesn't just respond but acts: it plans steps, uses tools (search, run code, call APIs) and iterates until it completes a task autonomously.
AI, no-code and infrastructure terms explained in plain language.
An AI system that doesn't just respond but acts: it plans steps, uses tools (search, run code, call APIs) and iterates until it completes a task autonomously.
A program that talks to people via text or voice, answering questions and performing tasks. It ranges from simple button flows to AI assistants that understand natural language.
A system that centralizes customer relationships: contacts, conversation history, ongoing deals, and sales tasks, all in one place. Short for Customer Relationship Management.
The process of further training an existing AI model on examples from your domain, to specialize it in a specific style, format or task.
The category of artificial intelligence that creates new content (text, images, audio, video, and code) from natural-language instructions, by learning patterns from large volumes of data.
Renting graphics cards (GPUs) in the cloud, billed by the hour or second of use. It is how teams train and run AI models without buying hardware that costs tens of thousands of dollars.
An AI model trained on massive amounts of text, able to understand and generate natural language. It is the technology behind assistants like ChatGPT, Claude and Gemini.
A service that gives programmatic access to language models: your system sends a prompt over HTTP and receives the model's response, usually paying per token processed.
Using software to run repetitive marketing actions (emails, messages, segmentation, lead nurturing) automatically, triggered by each contact's behavior.
An open protocol created by Anthropic that standardizes how AI assistants connect to external tools and data sources: a "USB-C" for AI integrations.
An approach to building software with little or no programming: visual drag-and-drop interfaces replace code. No-code requires no code at all; low-code lets you extend with code when needed.
The practice of writing and refining instructions (prompts) to get better, more consistent responses from AI models, using well-defined context, examples and format.
A technique that retrieves information from your documents and hands it to the LLM along with the question, so it answers based on real, up-to-date data, reducing hallucinations.
A cloud model where you deploy code or use a database without managing servers: the platform scales automatically and charges only for what runs, including zero when there is no usage.
Technology that converts written text into synthesized speech. Current neural-network-based systems produce voices with intonation and pacing close to a human narrator, in dozens of languages.
The smallest unit of text a language model processes: on average, one token is roughly 3/4 of an English word. It is the billing unit of LLM APIs.
A style of programming where you describe what you want in natural language and let the AI write the code, iterating on the result instead of reviewing it line by line.
Virtual Private Server: an isolated slice of a physical server, with dedicated CPU, memory, and disk, that you manage as your own machine.
A mechanism where one system automatically notifies another when something happens, by sending an HTTP request to a URL you registered. Instead of polling for updates, the event comes to you.
An interface that lets systems and bots send and receive WhatsApp messages programmatically. It is the foundation of automated support, notifications and CRM integrations.