Introduction to Make AI Agents (New)

the make ai agents (new) app is available in open beta , so product functionality and pricing may change the app is available on all plans using make's ai provider, with the option to use custom ai provider connections on paid plans this article and related articles reflect the new version of the make ai agents (new) app released on february 2nd, 2026 an ai agent is an ai system that independently performs tasks for you based on your instructions in {{product name}} , ai agent refers to docid\ rxryasa6852hvhkz6nhxu , an app that you configure directly in the {{scenario singular}} builder and use in {{scenario plural lowercase}} in this introductory guide to make ai agents, learn about their key concepts, when to use agents, and where to go next to start building key concepts in {{product name}} , agents use these core concepts a large language model (llm) is like a brain that the agent uses to think and make decisions without it, the agent can't understand or respond to requests an ai provider connects the agent to an llm common ai providers include openai, gemini, and anthropic claude make's ai provider connects to llms without needing an account with a provider reasoning shows you the agent's step by step thinking, so you can understand each of its decisions and debug when something goes wrong instructions are guidelines that define the agent's role and how it should behave they include goals, the steps to take to achieve them, and other rules to follow across all tasks knowledge is reference information that the agent uses to tailor its responses to your goals it consists of files stored in the agent's memory, for example, faqs, brand guidelines, company policies, and internal documentation input is variable information that the agent processes each time it runs it includes specific requests and data from third party services, such as slack messages t ools connect agents to third party services, such as email, database, and crm systems, to allow them to perform specific tasks in {{product name}} , tools are modules, {{scenario plural lowercase}} , and mcp server tools files are task specific documents that the agent processes with other inputs and uses in tools, such as email attachments or chat message files agents are in {{scenario plural lowercase}} (automated workflows), so some familiarity with {{product name}} is helpful when you create them for an introduction to make specific concepts, refer to docid\ ymojfpyuyrahffph2azhv when to use ai agents when deciding whether to use agents in {{scenario plural lowercase}} , consider these guidelines use a scenario with an agent for tasks that require flexible reasoning, judgment calls, and variable inputs and outputs examples categorizing support tickets, screening candidates, and analyzing market data use a scenario with an ai app for tasks that combine predefined logic with ai generated content, where both inputs and outputs follow specific parameters examples translating, transcribing, and summarizing documents use a standard scenario for tasks with predefined logic that always produce the same output for a given input examples syncing data between services, processing orders, and updating customer management systems since ai systems provide unpredictable results, choose tasks for your agent that you trust an intern to handle avoid tasks involving sensitive data, high stakes financial or strategic decisions, or strict legal requirements ai agent examples this table outlines common examples of ai agents to try agent what it does customer support ticket triage categorizes, prioritizes, and assigns customer support tickets to team members sales outreach identifies potential leads, researches them, schedules meetings, and sends email invitations content marketing creates blogs, social media content, and other materials and automatically posts them to social media channels market research analyst gathers company information online, saves the data in a database, and analyzes the collected data candidate screening analyzes candidate resumes against job requirements, creates a form that qualifies each candidate, and shares the form with recruiters and interviewers seo optimization analyzes content for seo and creates a report with recommendations what's next to get started with the make ai agents (new) app, see the following resources docid\ ha1 tulw54s28ih4stixr to build an agent from the beginning docid\ eg7rwq8erecfa8xngztlz to walk through a guided use case the https //academy make com/bundles/automation to ai agents foundation course from make academy for more hands on practice