BuildCheck vs Make

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

Free plan: Both — BuildCheck is free to use, Make has a free plan
Public API: Make has one; not confirmed by us for BuildCheck
Higher Trust score: Make — 86 vs 60 for BuildCheck
Best fit: BuildCheck: Teams deciding whether to build automation or just prompt · Make: Operations and marketing teams wiring SaaS apps together with branching logic they can see
Status: We could not check Make — its site turns automated checks away; BuildCheck was up on Sep 1, 2026

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

BuildCheckDescribe a workflow and it tells you whether it needs a custom app, an AI agent, or just a well-written prompt.

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

Side by side

Fact	BuildCheck	Make
Category	AI Workflow Builders	Workflow Automation Platforms
Pricing model	Free	Freemium
Public API	Not confirmed	Yes
Trust score	60 / 100	86 / 100
Platforms	Web	Web, API
Company	—	Celonis, Inc.
Last verified	Sep 1, 2026	Sep 6, 2026

What our research says

BuildCheck

The value is in the question it asks rather than the technology behind it — most automation projects fail because nobody checked whether a prompt would have sufficed. It is a single-maker tool with no pricing and no company behind it, so treat it as a useful sanity check rather than something to build a process around.

Pros

Asks the build-versus-prompt question most teams skip
Free to use with no signup gate advertised
Named maker rather than an anonymous shell

Cons

No company, country or support commitment
No pricing or business model stated
Advice only — it builds nothing

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

Which one fits

Choose BuildCheck if you need

Teams deciding whether to build automation or just prompt
Non-technical managers scoping an idea before asking engineering
Anyone prone to over-building small workflows

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