Make

Make is a visual, no-code automation platform from the Make team (formerly Integromat) that lets non-technical operators wire up workflows across 3,000+ apps with a drag-and-drop scenario builder. Since August 2025 it has run on a credit-based pricing model rather than the older operations system, which makes AI-heavy workflows easier to budget for, and the canvas now ships with native modules for OpenAI, Anthropic Claude, Google Gemini, and Stability AI.

What Make does:

• •Visual scenario builder a drag-and-drop canvas where you connect modules, add routers, filters, iterators, and aggregators without writing any code, then run scenarios on a trigger or schedule.
• •3,000+ app connectors Gmail, Slack, Google Sheets, HubSpot, Notion, Airtable, Stripe, Shopify, plus the long tail of CRM, project management, e-commerce, and marketing tools you actually use.
• •Native AI modules first-party connectors for OpenAI (GPT, DALL-E), Anthropic Claude API, Google Gemini, and Stability AI, so building an AI content pipeline does not need a separate orchestration tool.
• •Make AI Agents a 2025 feature that wraps LLM calls plus tools plus memory into a reusable agent block; one of the cleanest no-code paths to a working autonomous agent.
• •Make Code app drop a JavaScript or Python step into any scenario for the bits a no-code module cannot quite express, useful as an escape hatch without leaving the canvas.
• •Routers, filters, and iterators branch flows by condition, loop over arrays, deduplicate, and aggregate, all native to the visual builder, so workflows stay maintainable as they grow.
• •Webhooks in and out expose any scenario as an HTTP webhook in seconds, or trigger off an inbound webhook from another system, which is the bridge to anything custom-coded.
• •Scheduling and instant triggers run a scenario every 5 minutes, every hour, on cron, or fire instantly off an app event such as a new Stripe payment or a fresh row in Airtable.
• •Team and Enterprise tiers shared scenario libraries, role-based access, custom variables, audit logs, SSO, and priority execution for businesses moving past hobbyist usage.
• •Mobile apps iOS and Android companion apps for monitoring scenario runs, approving manual steps, and triaging errors away from the desk.

Pricing:

• •Free $0/mo: 1,000 credits, 2 active scenarios, all 3,000+ connectors, fine for personal automations or small experiments.
• •Core from $9/mo: 10,000 credits, unlimited active scenarios, suitable for solo operators and most freelancers.
• •Pro from $16/mo: 10,000 credits plus priority execution, custom variables, and full-text execution logs for scenarios that move money or run customer flows.
• •Teams from $29/mo: team roles, shared scenario library, granular access controls, suitable for an in-house ops team running automations across departments.
• •Enterprise custom/yr: SSO, audit logs, SLA, dedicated CSM, and procurement-grade contracting for regulated businesses.

Limitations:

• •Credit usage spikes with AI workflows AI-powered scenarios consume credits 5-10x faster than basic data moves, so heavy LLM pipelines need careful budgeting or quickly outgrow the Core plan.
• •Steep learning curve past the basics routers, iterators, and aggregators are powerful but conceptually unfamiliar to first-time operators, and most teams need a week or two before complex workflows feel natural.
• •Debugging long scenarios is awkward when a 20-module scenario fails, finding the exact module that broke means clicking through bundle outputs one at a time, and there is no proper step-debugger yet.
• •Native CRM features stop short of a real CRM Make can move data between Hubspot, Salesforce, or Attio, but it is not a replacement for any of them, so the source-of-truth still lives elsewhere.