Make
automation
Make is a visual workflow automation platform that connects over 3,000 apps and services, enabling users to build automated workflows without extensive coding
Pricing
Free plan
Rating
—
Votes
0
Head-to-head comparison
Make vs Relevance AI
Compare Make and Relevance AI side by side across pricing, features, ratings, pros, cons, best-fit use cases, and alternatives.
Relevance AI
ai-agents
Relevance AI is an enterprise AI workforce platform for building and managing business agents at scale
Pricing
Free plan
Rating
—
Votes
0
Feature comparison
Feature
Make
Relevance AI
Category
automation
ai-agents
Pricing
Free plan
Free plan
Free plan
API access
Mobile app
Browser extension
Team collaboration
Custom training
Self-hosted option
Offline mode
Multi-language support
Make pros and cons
The visual scenario builder makes complex, multi-branch automations far easier to design and audit than linear step-based tools, with data flow and logic represented clearly on a single canvas.
A library of 3
000+ pre-built app connectors, backed by generic HTTP, webhook, and custom app modules, means nearly any API can be reached even when a native integration is missing.
Make is genuinely AI-native, offering agentic automation, ready-made AI agents, and an MCP server that lets AI assistants trigger real actions across connected apps rather than just generating text.
The visual canvas is powerful but has a real learning curve; newcomers to automation often find its data mapping, iterators, and error handling harder to grasp than simpler competitors.
The recently introduced credit-based billing model can make costs harder to predict, since advanced and AI-powered actions may consume more credits than a standard operation.
Complex scenarios can become difficult to maintain and debug at scale, and heavy reliance on the platform creates a degree of workflow lock-in.
Relevance AI pros and cons
Charges without per-agent fees, so teams can spin up unlimited agents, tools, and workforces without cost scaling linearly with each new agent they build.
Ships a marketplace of hundreds of pre-built agents that teams can clone and customize, dramatically shortening time-to-value versus building every agent from scratch.
Strong multi-agent orchestration lets agents hand off work and collaborate as a coordinated 'workforce
' which suits complex, multi-step business processes.
Pricing is opaque and hybrid: a credit-plus-usage model with action allowances makes real monthly costs hard to predict, and the top tier requires talking to sales.
Building reliable, production-grade agents still involves a real learning curve, particularly around orchestration and evaluation for non-technical teams.
Graphical and design-oriented outputs tend to fall short of polished human work, so it's not a substitute for creative or design tooling.
Which one should you choose?
Best overall signal
Make
Selected using Toolglade popularity signals such as views and votes.
Best value signal
Make
Selected using free-plan availability and engagement signals.
Best for
Make
- Operations and marketing teams automating multi-step, cross-app processes
- No-code and low-code builders who want visual control over complex logic
- Businesses running high-volume workflows sensitive to per-operation cost
- Teams experimenting with AI agents and agentic automation
- Technical users who need to reach APIs without native connectors
Relevance AI
- GTM and revenue teams scaling output without adding headcount
- Operations teams automating multi-step business processes
- Enterprises needing SSO, RBAC, and audit controls for agents
- Companies that want to deploy many agents without per-agent fees
- Teams that want domain experts to build agents visually
FAQ
Is Make better than Relevance AI?
It depends on your use case. Compare category fit, pricing, feature availability, and ratings before choosing.
Which tool has a free plan?
Make and Relevance AI offer a free plan based on current Toolglade data.