What is Make?
Make is a cloud-based visual automation platform that lets teams build, run, and monitor multi-step workflows — called scenarios — by connecting over 3,000 applications through a drag-and-drop canvas. Unlike linear automation builders, Make's canvas supports branching paths, parallel execution, routers, iterators, and aggregators, giving teams precise control over how data moves between tools like Slack, HubSpot, Airtable, Google Sheets, and any REST API. The practical problem Make addresses is operational fragmentation: teams maintaining separate tools for CRM, project management, billing, and communications end up manually copying data between them. Make eliminates that by letting a single scenario trigger on a webhook, filter records, enrich data via an API call, write results to a database, and notify a Slack channel — all without writing application code. As of May 2026, Make has shifted its billing model from "operations" to "credits," where every module execution in a scenario — including triggers, filters, and conditional routers — consumes one credit. This distinction matters: a five-step workflow runs at five credits per execution, not one, so teams with complex branching scenarios should plan credit consumption carefully before committing to a tier. Make serves over 350,000 organizations across 200 countries, ranging from solopreneurs running simple daily automations to enterprises orchestrating mission-critical data pipelines. The free plan provides 1,000 credits per month with two active scenarios — enough to evaluate the platform. Paid tiers start at $9 per month (Core) for 10,000 credits and scale through Pro ($16/mo) and Teams ($29/mo) with additional run-interval controls and team management features. Enterprise plans include SOC 2 Type II compliance, on-premises agents, and custom governance. Make is not the right fit for teams that need purely point-and-click simplicity with zero configuration. Its credit-based billing requires upfront workflow modeling to avoid cost surprises, and teams running hundreds of high-frequency scenarios with many modules per run should benchmark their credit burn before upgrading. For those workflows, n8n's self-hosted model may offer better long-term cost predictability.
Make is a visual workflow automation platform connecting 3,000+ apps with credit-based scenario building, AI agents, and enterprise-grade error handling for teams.
Make is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.
Key Features
Pros & Cons
Who Uses Make?
Make vs Lutra AI vs Convergence vs Illumex
Detailed side-by-side comparison of Make with Lutra AI, Convergence, Illumex — pricing, features, pros & cons, and expert verdict.
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Pricing |
Free | Freemium | Free | unknown |
Rating |
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Free Trial |
✓ | ✓ | ✓ | ✕ |
Key Features |
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Pros |
Automating multi-step processes across disconnected too Make's credit-based tiers scale with workflow volume ra Per-module error routing lets teams define explicit fal | Describing a workflow in plain English and having it ex Data extraction and enrichment tasks that take an analy Pre-built connections to Airtable, Slack, HubSpot, Goog | Proxy handles the full execution of delegated tasks aut At $20 per month for the Pro tier, Convergence provides Natural language task setup removes the technical barri | Illumex's live duplication detection and semantic asset By maintaining a single, semantically consistent defini The platform's semantic layer grows more contextually a |
Cons |
Make's canvas introduces routers, iterators, aggregator The credit model counts every module execution — includ | Users new to automation concepts may initially write in Workflows connecting to tools outside Lutra's pre-integ | Users unfamiliar with AI agent delegation often underus The free plan caps the number of Proxy sessions and aut Proxy's ability to execute web-based tasks is entirely | Data contributors unfamiliar with semantic data platfor Illumex's enterprise positioning places it at a price p Illumex's semantic integration layer maps relationships |
Best For |
Operations & RevOps teams | E-commerce Businesses | Busy Professionals | Financial Institutions |
Verdict |
For RevOps or operations teams managing multi-step data pipe… | For digital marketing agencies and financial analysts runnin… | For busy professionals managing high volumes of repetitive o… | For telecommunications companies and financial institutions … |
Try It |
Visit Make ↗ | Visit Lutra AI ↗ | Visit Convergence ↗ | Visit Illumex ↗ |
Make vs Lutra AI vs Convergence vs Illumex — Which is Better in 2026?
Choosing between Make, Lutra AI, Convergence, Illumex can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.
Make vs Lutra AI
Make — Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-base
Lutra AI — Lutra AI is an AI Agent that executes multi-step data workflows autonomously based on natural language input, with pre-built connections to Airtable, Slack, Goo
- Make: Best for Operations & RevOps teams, Digital agencies, SaaS product teams, E-commerce operators, Uncommon use
- Lutra AI: Best for E-commerce Businesses, Digital Marketing Agencies, Research Institutions, Financial Analysts, Uncomm
Make vs Convergence
Make — Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-base
Convergence — Convergence is an AI Agent that autonomously handles repetitive online tasks — browsing, form-filling, data aggregation, and scheduled workflows — through its n
- Make: Best for Operations & RevOps teams, Digital agencies, SaaS product teams, E-commerce operators, Uncommon use
- Convergence: Best for Busy Professionals, Managers, Researchers, Developers, Uncommon Use Cases
Make vs Illumex
Make — Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-base
Illumex — Illumex is an AI Tool that applies semantic intelligence to enterprise data management, automating metric documentation and preventing the analytical duplicatio
- Make: Best for Operations & RevOps teams, Digital agencies, SaaS product teams, E-commerce operators, Uncommon use
- Illumex: Best for Financial Institutions, Healthcare Providers, Retail Chains, Telecommunications Companies, Uncommon
Final Verdict
For RevOps or operations teams managing multi-step data pipelines across HubSpot, Airtable, and custom REST APIs, Make delivers precise workflow control that Zapier's linear task model cannot replicate at the same price point. The primary constraint is its credit accounting model: every filter and router costs a credit, so complex branching scenarios require careful pre-build estimation to stay within tier limits.
FAQs
4 questionsExpert Verdict
Summary
Make is an AI Tool that brings visual, code-free automation to teams handling multi-app workflows across operations, marketing, and development. Its credit-based scenario builder, combined with over 3,000 app integrations and native AI agent support, makes it one of the most flexible hosted automation platforms available in 2026. Teams that architect their scenarios efficiently — batching writes, filtering early, and limiting module steps — consistently report strong cost-to-output ratios compared to alternatives.
It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.