Make AI Scenarios
AI-powered visual automation platform with next-generation AI Agents, a visual reasoning panel, and 3,000+ app integrations for building complex, multi-step intelligent workflows.
Technical users and agencies building complex AI workflows who want visual debugging and control over AI costs
Our Verdict
AI-powered visual automation platform with next-generation AI Agents, a visual reasoning panel, and 3,000+ app integrations for building complex, multi-step intelligent workflows.
Rating Breakdown
Why Trust This Review
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Pros & Cons
Pros
- Visual AI Agent builder with Reasoning Panel provides unmatched transparency into agent decision-making
- Custom AI provider connections let you use your own API keys and avoid markup costs
- Unlimited branching and advanced data transformation handle workflows too complex for Zapier
- Real-time execution visualization makes debugging multi-step AI workflows intuitive
- MCP Server enables external AI tools to call Make scenarios with full security and control
Cons
- Steep learning curve — significantly more complex to learn than Zapier for beginners
- Credit-based pricing can be confusing; native AI modules carry a premium if not using your own API keys
- Smaller integration library (3,000+) compared to Zapier's 8,000+ apps
- Make charges for attempted operations, not just successful ones, which can inflate costs
Full Review
Overview
Make (formerly Integromat) has evolved into one of the most powerful visual automation platforms available, and its 2025-2026 AI capabilities take it further into intelligent automation territory. Make AI Scenarios combines the platform's signature visual workflow builder with AI Agents that can think, reason, and take autonomous actions. The next-generation AI Agents, announced in February 2026, are built, run, and debugged inside the same visual canvas as regular scenarios, with a Reasoning Panel that shows exactly how the agent thinks and why it takes each path.
Key Strengths
- Visual AI Agent Builder: Unlike text-based agent builders, Make's AI agents are designed and debugged on the same visual canvas as regular scenarios. The Reasoning Panel provides real-time visibility into agent decision-making.
- Unlimited Branching & Complexity: Scenarios can split into unlimited paths based on conditions, enabling complex decision trees that would require nested logic in other tools.
- Advanced Data Transformation: Built-in data transformation tools eliminate the need for separate formatter apps. JSON parsing, text manipulation, and calculations happen natively.
- Custom AI Provider Connections: All paid plans allow connecting your own OpenAI, Anthropic, or other AI provider API keys, giving you control over AI costs and avoiding markup.
- MCP Server: Make's Model Context Protocol server allows external AI tools to call Make scenarios with full control, security, and precision.
Pricing Analysis
Make operates on a credit-based pricing model. The Free plan includes 1,000 operations/month. Core starts at $29/month with increased credits, Pro pricing scales with usage. As of 2025-2026, Make shifted to credits (from operations), where resource-intensive actions like native AI generation cost multiple credits. Users can bring their own AI API keys on all paid plans to avoid Make's AI markup. Rollover operations (unused credits carry forward one month) were added in 2026.
Who Is It Best For?
Make AI Scenarios is ideal for technical users, agencies, and mid-size businesses that need to build complex, multi-step AI workflows with visual debugging. It excels for teams that want more control over AI costs by using their own API keys and need sophisticated data transformation capabilities.
The Bottom Line
Make is the power user's choice for AI automation. Its visual canvas approach to AI agents is genuinely innovative, offering clarity and debuggability that text-based agent builders cannot match. The ability to use your own AI API keys is a major cost advantage. However, the learning curve is steeper than Zapier, the credit-based pricing can be confusing, and native AI modules carry a cost premium if you do not bring your own keys. For complex, multi-step AI workflows, Make is exceptionally capable.
Alternatives to Make AI Scenarios
Frequently Asked Questions
Regular Make scenarios follow fixed, deterministic paths. Make AI Agents add autonomous decision-making — the agent can reason about what to do next, choose which tools to call, and adapt its behavior based on results. The Reasoning Panel shows you exactly how the agent thinks in real time, making it transparent and debuggable.
Yes. Since November 2025, all paid plans support custom AI provider connections. You can connect your own OpenAI, Anthropic, or other provider API keys and pay your AI provider directly for token usage, avoiding Make's markup on native AI modules.
Make offers more complex branching, better visual debugging, and the ability to use your own AI API keys (lower cost). Zapier has a larger integration library (8,000+ vs 3,000+) and is easier to learn. Choose Make for complex, multi-step AI workflows where you want cost control and visual debugging. Choose Zapier for simpler automations with broader app coverage.
Written by
Marcus has spent over a decade in SaaS integration and business automation. He specializes in evaluating API architectures, workflow automation tools, and sales funnel platforms. His reviews focus on implementation details, technical depth, and real-world integration scenarios.
Co-written by
Emily brings 7 years of data-driven marketing expertise, specializing in market analysis, email optimization, and AI-powered marketing tools. She combines quantitative research with practical recommendations, focusing on ROI benchmarks and emerging trends across the SaaS landscape.
Final Verdict
Make AI Scenarios scores 8.6/10
With a score of 8.6 out of 10, Make AI Scenarios is a strong performer that delivers great value. It's particularly well-suited for those looking for technical users and agencies building complex ai workflows who want visual debugging and control over ai costs.