Make vs Workflow Machine

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Status: Workflow Machine failed our last uptime check (Oct 14, 2026)
Free plan: Both have one
Public API: Make has one; not confirmed by us for Workflow Machine
Higher Trust score: Make — 86 vs 55 for Workflow Machine
Best fit: Make: Operations and marketing teams wiring SaaS apps together with branching logic they can see · Workflow Machine: Freelancers automating a handful of repetitive app-to-app tasks

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

MakeVisual automation builder with branching scenarios, AI agents and an MCP server, metered in credits.

Workflow MachineDescribe an automation in plain language and it builds a workflow across 20-plus connected apps.

Side by side

Fact	Make	Workflow Machine
Category	Workflow Automation Platforms	AI Workflow Builders
Pricing model	Freemium	Freemium
Starts at	—	$18/mo
Public API	Yes	Not confirmed
Trust score	86 / 100	55 / 100
Platforms	Web, API	Web
Company	Celonis, Inc.	Workflow Machine
Last verified	Sep 6, 2026	Oct 14, 2026

What our research says

Make

Make is the visual automation tool for people who outgrow Zapier's straight lines and want routers, iterators and error handling on a canvas without running their own n8n. The credit model is the thing to understand before committing: most steps cost one credit, AI steps cost more and purchased top-ups expire, so a chatty scenario can burn a month's allowance in days. The MCP server and agents make it a reasonable home for assistant-driven automations, but they draw from the same credit pool.

Pros

Branching, iteration and error handling on a visual canvas, with routers and error handlers free of credits
3,000+ native apps plus custom integrations for any API
AI agents with goals, tools, limits and visible reasoning, plus an MCP server for Claude, ChatGPT and Gemini
Free plan with 1,000 credits a month and SOC 2 Type II, SSO and audit logs on paid tiers

Cons

Plan prices are not readable without a browser session; the pricing page shows credits, not dollars, to fetchers
Credits expire at the end of the term and purchased extras expire sooner
AI-provider steps consume more than one credit, making agent-heavy scenarios hard to budget
No self-hosted option

Workflow Machine

Workflow Machine's pitch is skipping the visual builder entirely and describing what you want automated in a sentence. That works for common integrations like Gmail-to-Sheets style tasks, but the free tier's 100 monthly runs and 2 active workflows will not last a busy user long.

Pros

Generates a working automation from a plain-language description rather than a node editor
Covers 20-plus common business apps including Gmail, Slack, Notion, and Stripe
Free plan requires no credit card to try the core flow

Cons

No public API for triggering workflows from outside the platform
AI credits and run limits both cap usage, so heavy users hit two ceilings at once
Company location and support details are not published on the site

Which one fits

Choose Make if you need

Operations and marketing teams wiring SaaS apps together with branching logic they can see
Builders who want AI agents and automations in one place, driven from Claude or ChatGPT through MCP
Companies that need SSO, audit logs and SOC 2 on a no-code automation tool

Choose Workflow Machine if you need

Freelancers automating a handful of repetitive app-to-app tasks
Small teams who find visual workflow builders slow to set up