Make

Make is a cloud-based workflow automation platform that allows users to build complex, multi-step automations called scenarios using a visual canvas interface. Each scenario connects modules representing app actions—such as fetching a row from Google Sheets, sending a Slack message, or updating a HubSpot contact—and each module action consumes one credit when the scenario runs. The platform supports advanced workflow logic including routers, filters, iterators, aggregators, and error handlers, making it capable of orchestrating sophisticated conditional workflows that go beyond simple linear trigger-action automations. Make also supports AI agents, webhooks, HTTP modules, custom API connections, and as of November 2025, all paid plan users can connect their own LLM provider API keys—such as OpenAI or Anthropic—for use in AI Toolkit and AI agent features. Over 3,000 pre-built app integrations are available covering CRMs, databases, marketing platforms, communication tools, and developer services. Make is commonly used by marketing agencies to automate lead capture and CRM entry across client accounts. Operations teams use it to synchronize data between internal systems such as ERPs and project management tools without engineering support. E-commerce businesses use Make to connect order management, inventory, and shipping platforms into unified automated pipelines. Explore more. IT teams build incident response workflows that monitor systems and trigger alerts or remediation actions automatically. The platform's scenario execution logs, full-text log search on Pro and higher plans, and step-level debugging tools make it practical for teams that need to troubleshoot complex automations. Make's key advantage over task-based tools like Zapier is its credit model: because each module step costs one credit regardless of complexity, multi-step workflows can be significantly cheaper to run at scale. However, this model introduces complexity for new users who may find it difficult to predict costs before building scenarios, particularly for workflows with loops or high-frequency triggers. The visual canvas becomes harder to navigate for very large scenarios, which some users describe as difficult to debug. Support quality is rated as inconsistent by some users on lower-tier plans. Teams with predictable, moderate-volume automation needs tend to get the best value from Make, while high-frequency real-time use cases may require careful plan selection to avoid unexpected overage charges Find alternatives.