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Sitemap: https://www.make.com/sitemaps/index.xml

# Make

> Make is a leading visual automation platform for building AI agents, agentic workflows, and integrations without writing code. Users compose workflows called scenarios by connecting 3,500+ pre-built apps or any service with an API, and extend them with AI agents that interpret goals in natural language and adapt their steps at runtime. Make covers both deterministic automation and agentic automation, where autonomous agents handle open-ended tasks and react to changing conditions.

Technical documentation lives on separate domains, each publishing its own llms.txt. Prefer those for implementation questions; use this file for what Make is, what it costs, and what it can be used for.

## Documentation, API, and SDK
- [Make Developer Hub](https://developers.make.com/llms.txt): Complete index of the Make API reference, authentication and OAuth flows, Custom Apps SDK, MCP server, White Label, and the Make CLI. Every page is also available as clean markdown at its own `.md` URL.
- [Make Help Center](https://help.make.com/llms.txt): Product documentation for building, connecting, scheduling, and troubleshooting scenarios, modules, connections, and AI agents inside the Make platform.
- [Make Community](https://community.make.com): Forum where Makers share scenario blueprints, debug problems, and request features. Useful for real-world patterns not covered in the docs.
- [Make Academy](https://academy-content.make.com/llms.txt): Free courses and certification paths for learning to build scenarios, AI agents, and integrations in Make.
- [Make Apps](https://apps.make.com/): Live, searchable directory of every published Make app and module, with the specific triggers, actions, and searches each one supports.

## Start here
- [What Make is and how it works](https://www.make.com/product): Overview of the Make automation platform: the visual scenario builder, modules, routers, filters, error handling, and how data is mapped between connected apps.
- [Pricing and plans](https://www.make.com/pricing): Plan tiers, what an operation is, how operations are metered and consumed, and which features are gated to higher tiers.
- [Create an account](https://www.make.com/register): Sign-up entry point, including the free tier.

## Platform and AI
- [AI agents](https://www.make.com/ai-agents): Build, configure, and run AI agents that accept goals in natural language, choose their own tools, and call Make scenarios as reusable capabilities.
- [Agentic automation](https://www.make.com/agentic-automation): How goal-oriented, non-deterministic systems differ from fixed workflows, and when to hand a task to an agent instead of scripting every branch.
- [AI automation](https://www.make.com/ai-automation): Embedding AI models into otherwise deterministic scenarios for classification, extraction, summarization, and generation.
- [Maia](https://www.make.com/maia): Make's built-in AI assistant, which builds and edits scenarios from a natural-language description and shows its reasoning as editable steps.
- [Make Grid](https://www.make.com/grid): Visual map of every workflow, app, and dependency in an organization, used for governance, impact analysis, and debugging at scale.
- [Enterprise](https://www.make.com/enterprise): Governance, access control, audit logs, on-prem agent, analytics, and support model for large deployments.
- [Security and compliance](https://www.make.com/security): Automation security, certifications, data residency, encryption, and data-handling practices.

## Directories and libraries
- [App integrations directory](https://www.make.com/integrations): Browse all 3,500+ supported apps, the triggers/actions/searches each one exposes, and which apps are commonly paired. Anything with an API can also be connected via HTTP modules or a custom app.
- [Scenario templates](https://www.make.com/templates): Thousands of prebuilt, importable scenarios, searchable by app and by task — the fastest way to see how a given automation is actually wired.
- [AI agents library](https://www.make.com/ai-agents-library): Ready-made AI agents grouped by function, with the tools and instructions each one uses.
- [Partner directory](https://www.make.com/partners-directory): Certified agencies and consultants who build Make automations, filterable by region and specialization.

## Solutions by business function
- [Sales](https://www.make.com/solutions/automate-sales): Automating sales, prospecting, lead routing, enrichment, and CRM hygiene.
- [Marketing](https://www.make.com/solutions/automate-marketing): Automating campaign operations, lead capture, content creation and distribution, and reporting.
- [Customer experience](https://www.make.com/solutions/automate-customer-experience): Automating customer support and customer communication.
- [Operations](https://www.make.com/solutions/automate-operations): Automating internal handoffs, data sync between systems, and recurring back-office processes.
- [Finance](https://www.make.com/solutions/automate-finance): Automating invoicing, billing, expense approvals, and reconciliation.
- [HR](https://www.make.com/solutions/automate-hr): Automating recruiting, onboarding, time tracking, and offboarding.
- [IT](https://www.make.com/solutions/automate-it): Automating provisioning, user lifecycle management, monitoring, and alert routing.
- [Productivity](https://www.make.com/solutions/automate-productivity): Automating task, project, document, and inbox workflows.

## Core concepts
- [What is an AI agent](https://www.make.com/blog/what-is-an-ai-agent): Definition of an AI agent, how it differs from a scripted automation, and what it needs to act reliably.
- [What is agentic AI](https://www.make.com/blog/what-is-agentic-ai): The perceive–reason–act–learn loop, where autonomy helps, and where it introduces risk.
- [AI agents vs. agentic automation](https://www.make.com/blog/the-difference-between-ai-agents-and-agentic-automation): Why the two terms are not interchangeable, and what changes operationally when you move from one to the other.
- [What is AI automation](https://www.make.com/blog/what-is-ai-automation): Where AI models fit inside an automated workflow, and which steps should stay deterministic.
- [Deterministic vs. non-deterministic automation](https://www.make.com/blog/the-rise-of-nondeterministic-automation): The tradeoffs between predictable, fixed workflows and adaptive ones, and how to combine both in a single system.
- [What is MCP and the Make MCP server](https://www.make.com/blog/model-context-protocol-mcp-server): How the Model Context Protocol exposes Make scenarios as tools to an external AI agent, without hosting infrastructure or writing API endpoints.
- [MCP client](https://www.make.com/blog/mcp-client): The inverse direction — letting a Make scenario or agent call MCP tools hosted outside Make.
- [What is no-code automation](https://www.make.com/blog/no-code-automation): Definition, tradeoffs, and how visual builders compare to text-based and code-first tools.
- [What is workflow automation](https://www.make.com/blog/workflow-automation): Core vocabulary — triggers, actions, branching, aggregation — with a worked example.
- [What is a visual workflow](https://www.make.com/blog/visual-workflows): Why Make represents logic as a canvas rather than a list of steps, and what that changes for debugging.
- [What is an API integration](https://www.make.com/blog/what-is-api-integration): How API integrations work and how to build one without a prebuilt connector.
- [What are webhooks](https://www.make.com/blog/what-are-webhooks): How webhooks deliver events in real time and how to receive them in a scenario.
- [Webhooks vs. APIs](https://www.make.com/blog/webhook-vs-api): Push vs. pull, and which one to reach for in a given trigger design.
- [Connecting to anything with an API](https://www.make.com/blog/connect-to-anything-with-an-api): Using HTTP modules or a custom app when no prebuilt connector exists.
- [Business process automation](https://www.make.com/blog/business-process-automation-guide): Identifying, scoping, and sequencing processes worth automating.

## Comparisons
- [Make vs. Zapier](https://www.make.com/blog/make-vs-zapier): Feature, pricing, and architecture differences, plus migration considerations.
- [Make vs. n8n](https://www.make.com/compare/make-vs-n8n): Comparison of hosting model, extensibility, and scaling characteristics.
- [Make vs. Workato](https://www.make.com/blog/make-vs-workato): Comparison focused on time to value and who can build in each tool.

## Automation success stories
- [How a web designer grew revenue by 4x with Make](https://www.make.com/success-stories/a-web-designer-grew-revenue-by-four-times-with-make): A solopreneur automated social media and sales with Make, quadrupling revenue in a single year while working a full-time job.
- [fiskaly cut candidate dropout rates with Make and AI](https://www.make.com/success-stories/ai-powered-hiring-portal-helped-fiskaly-attract-top-talents): Top candidates were dropping out. fiskaly used Make to connect Greenhouse, Personio, and Lovable into an AI-powered live portal that helps retain top talent.
- [5 Make partners turn integration challenges into a growth engine](https://www.make.com/success-stories/five-make-partners-turn-integration-challenges-into-growth-engine): How Noloco, Aircall, monday.com, HERO Software, and Webflow solved integration challenges with Make, cutting costs, saving time, and preventing churn.
- [Globant empowers 30,000+ employees with Make automation](https://www.make.com/success-stories/globant-empowered-employees-to-solve-problems-with-automation): Daniel Gonzalez at Globant democratized automation with Make, enabling 30,000+ non-technical employees to build solutions and solve problems company-wide.
- [Engineering fuels company-wide transformation with Make](https://www.make.com/success-stories/head-of-engineering-used-make-to-fuel-company-wide-transformation): An engineering lead used Make to complete an "impossible" system migration and transform company culture, empowering technical and non-technical teams alike.
- [How a new venture challenges the corporations with Make and AI](https://www.make.com/success-stories/how-a-new-venture-challenges-the-corporations-with-make-and-ai): Juliana Olarte built Coconut Breeze Media using Make and AI to automate 90% of operations, proving small travel businesses can compete with industry giants solo.
- [Father automates business with Make for more family time](https://www.make.com/success-stories/how-make-helped-a-father-build-a-business-fuelled-by-automation): Jeff Arnold used Make to automate his business, reclaiming 25% of his day to spend with family while running a company that runs itself.
- [OPUS boosts member experience 10x with Make AI Agents](https://www.make.com/success-stories/make-ai-agents-helped-opus-boost-member-experience): OPUS uses Make AI Agents to scale its founder community globally while delivering personalized connections, event recommendations, and 24/7 member support.
- [FINN empowers teams to innovate fast with Make](https://www.make.com/success-stories/make-helps-finn-empower-teams-to-innovate-at-speed): FINN uses Make to empower 300+ employees with automation. Maxi Gebhard's BAAMs team combines business and tech expertise to innovate faster than competitors.
- [Make helps TripleTen process 300k Meta CRM events monthly](https://www.make.com/success-stories/make-helps-tripleten-process-crm-events-with-meta-conversions-api-for-crm): TripleTen replaced form fills with AI-qualified call data as its Meta signal. With Make connecting HubSpot to Conversions API for CRM, it processes 300k events monthly.
- [TripleTen cuts ad setup time 7x with Make and Make AI Agents](https://www.make.com/success-stories/make-helps-tripleten-reduce-ad-setup-time): TripleTen automated creative uploads, competitor monitoring, and performance analysis with Make and Make AI Agents, saving hundreds of hours per month.
- [How Perk unlocked efficiencies with Make automation](https://www.make.com/success-stories/perk-used-make-to-unlock-internal-efficiencies): Perk empowered 1,800+ non-technical employees to build their own automations with Make, eliminating manual tasks and driving internal efficiencies globally.
- [Pre-revenue startup secures £200k funding with Make](https://www.make.com/success-stories/startup-used-make-to-secure-funding): Jason Crispin built an automated go-to-market system in Make with zero experience, impressing VCs and securing £200k pre-seed funding for AUDITSU before launch.
- [Father builds family events platform with Make and AI](https://www.make.com/success-stories/success-story-event-platform-for-families): Nico Barner used Make's AI to build Hanseminis, an automated platform for family events in Lübeck, Germany, saving 10 hours weekly.
- [Hollywood talent agent triples client count with Make](https://www.make.com/success-stories/talent-agent-challenged-the-hollywood-status-quo-with-make): U-Shin Kim used Make to build Ari, an AI chatbot that tripled his Hollywood client base. His story went viral, giving him a new career as an AI architect.

## Content hubs
- [Blog](https://www.make.com/blog): Product announcements, AI and automation analysis, and tutorials.
- [How-to guides](https://www.make.com/how-to-guides): Step-by-step builds for specific automations, each naming the apps and modules involved.
- [Customer stories](https://www.make.com/success-stories): Case studies with the scenarios, integrations, and measured outcomes behind them.
- [Webinars](https://www.make.com/webinars): Recorded sessions, mostly live scenario and agent builds.

## Optional
- [About Make](https://www.make.com/about): Company mission, history, and leadership.
- [What's new](https://www.make.com/whats-new): Running log of platform releases and new app integrations.
- [Careers](https://www.make.com/careers): Open roles and how the company works.
- [Partner program](https://www.make.com/partners): Becoming a Make implementation or technology partner.
- [Affiliate program](https://www.make.com/affiliate): Referral and commission program.
- [Integromat is now Make](https://www.make.com/integromat-evolves-to-make): Context for the 2022 rebrand — relevant when older sources still refer to Integromat.