Make

Drag-and-drop workflows and AI agents for routine tasks

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workflow #workflow-automation#ai-agents#app-integrations

About

Build multi-step automations in a visual canvas without writing code. Teams use it to connect apps, route data, and add AI steps into “scenarios” made of tasks. Many choose it for an easy UI, while n8n can suit more specialized cases.

Editor's Take

Worth trying if your team prefers a polished visual builder for multi-step automations that can include AI steps; consider alternatives like n8n if you need extensive self-hosting or deep customization.

Key Features

  • Drag blocks on a canvas → build a multi-step scenario without code
  • Combine AI actions with standard tasks → generate or classify text inside a flow
  • Save and run a scenario → execute tasks in order and view results
  • Duplicate and extend a scenario → scale the workflow as needs grow

Use Cases

  • A marketing ops specialist routing new web form leads to a CRM with an AI-written qualification note
  • A support lead summarizing daily tickets with an AI step and posting a report to the team chat

Try It Like This

  1. 1
    Route web leads to CRM with AI notes

    Set a form submission trigger → map form fields into the CRM task block and add an AI action to draft a qualification note using the lead text → save and run the scenario to push the lead and the AI-written note into the CRM.

  2. 2
    Summarize daily support tickets to Slack

    Schedule a daily cron trigger or use an event trigger from the ticketing app → pull that day's new tickets, pass them to an AI step that generates a short summary and highlights urgent items → post the summary into the team Slack channel and inspect the run logs.

  3. 3
    Auto-tag orders with AI-based intent

    Trigger on new e-commerce orders → send order details to an AI task that classifies intent (gift, return risk, high-value) and write the tag → update the order record in the shop backend and optionally notify operations.

  4. 4
    Enrich invoices and post revenue report

    Run a nightly cron trigger to export that day's invoices → enrich each invoice with AI-extracted metadata (client type, payment terms) and aggregate totals → save the enriched records to a spreadsheet and post a short revenue summary to finance chat.

  5. 5
    Onboard new hires across apps

    Trigger on a new HR record → create accounts in the team directory, add the user to the onboarding checklist app, and use an AI step to generate a personalized welcome email → send the welcome email and mark the HR record as onboarded.

Pros & Cons

Pros

  • Visual drag-and-drop canvas lets non-developers build multi-step scenarios without code (features list).
  • Supports mixing AI actions with standard tasks so you can generate or classify text inside a flow (features list).
  • Easy-to-use UI that reviewers highlight as friendly for defining and maintaining simple flows (user reviews).

Cons

  • Teams with highly specialized or self-hosting needs may prefer alternatives like n8n for deeper customization (description comparison).
  • No evidence of Korean-language support was found, which may affect Korean-speaking teams.

Getting Started

  1. 1 Create an account on the Make website
  2. 2 Start a new scenario and add your first tasks
  3. 3 Run the scenario and confirm each task completes as expected

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FAQ

Does Make support Korean?

Korean is not currently supported.

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