Make AI

Name: Make AI
Author: Make

Automation & Workflows

Make

Freemium

About

AI agent capabilities of the Make visual automation platform: transparent, controllable agents orchestrating complex workflows across 3,000+ apps

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Our Verdict

Recommended

AI agents with receipts — automation you can actually audit

While rivals sell autonomy, Make sells accountability. Its agents inherit a decade-old visual canvas, 3,000+ integrations, and a design philosophy that every decision, connection and dollar must be inspectable — exactly what businesses burned by black-box agents now ask for. The blend of deterministic scenarios with AI judgment steps is pragmatic: use AI only where rules fail. Agents cannot leave the platform and the newest capabilities still need seasoning, but if your team already thinks in workflows, this is the least risky on-ramp to agentic automation.

Best for

•Existing Make users adding AI judgment to proven scenarios
•Businesses requiring auditable, explainable agent behavior
•Teams wanting agents across 3,000+ apps without writing code

Consider alternatives if

•You want agents you can self-host or take off-platform (→ Flowise, LangGraph)
•Your automations are simple triggers between two apps (→ Zapier AI)

Try Make AI

Supported Platforms

Web AppAPI

Available platforms include Web App and API.

Key Features

Transparent AI agents built on Make's visual automation canvas

Connects 3,000+ apps so agents can act across your whole stack

Full visibility into agent decisions, connections and cost scaling

Library of ready-made agents to start from instead of a blank page

Agents combine with classic scenarios: deterministic steps + AI judgment

Team governance over which tools and data each agent can touch

Pricing

free

Free plan with up to 1,000 credits/month — enough to test agents and simple scenarios on 3,000+ integrations

paid

Core $12/mo, Pro $21/mo and Teams $38/mo (each with 10K credits/mo, cheaper on annual billing, more credits by tier); Enterprise custom with advanced governance

Use Cases

Customer support triage where an agent classifies and routes tickets

Lead enrichment and CRM hygiene running across sales tools

Content pipelines mixing scheduled scenarios with AI decision points

Back-office processes spanning invoicing, docs and notifications

Pros

Transparency-first: you see why the agent did what it did

3,000+ integrations dwarf most standalone agent platforms

Gentle price curve from free to $12/mo Core

Visual canvas makes agents debuggable by non-engineers

Cons

Agents are bound to the Make platform — no standalone deployment

Credit consumption of AI steps takes tuning to stay predictable

Agent capabilities are newer and less battle-tested than core scenarios

Complex branching canvases can get hard to maintain at scale

Latest Update

2026: Make ships its next generation of AI Agents focused on transparency — visible decision-making, connection mapping and cost scaling — plus a library of ready-made agents, and moves pricing to a unified credits model

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