Make is the visual automation tool for power users. Its scenario builder uses a canvas where you drag modules, draw connections, and configure routers, iterators, and error handlers. It connects to 3,000+ apps and gives you granular control over every data transformation. For teams that want to see and manipulate every step of a complex data flow, Make's canvas is one of the most expressive tools available.
The visual power comes with a visual cost. Building a scenario means understanding modules, data mapping, filters, and Make's specific execution model. Your marketing manager isn't going to open the canvas and build a competitor monitoring workflow. And while Make has added AI agent modules, the platform's architecture is built around deterministic data routing, not AI-native execution where the model reasons across steps and tools.
How they compare
| General Input | Make | |
|---|---|---|
| Natural language workflow building | ||
| Visual drag-and-drop builder | ||
| App integrations | ||
| Built for non-technical users | ||
| Execution monitoring with full history | ||
| Per-execution cost transparency | ||
| Team workspaces with fine-grained permissions | ||
| Apps + deterministic scripts + AI agents | ||
| Choose any LLM (OpenAI, Anthropic, open source) | ||
| Human-in-the-loop approvals | ||
| Credential encryption isolated from AI | ||
| Self-hosted / on-prem deployment |
When to use Make
Make is the right choice for technically-minded operations teams that want a visual canvas to orchestrate complex multi-step data flows. If your automations involve heavy branching, iteration over arrays, and error handling across dozens of app modules, Make's scenario builder gives you control that text-based tools can't match. Its 3,000+ integration catalog is also hard to beat for breadth.
When to use General Input
General Input is for teams that want production automation without the scenario-building learning curve.
- Build by describing, not diagramming. "When a deal closes in HubSpot, enrich the company with Apollo, draft an onboarding email, and wait for the account manager to approve." That's a working workflow in under a minute. In Make, it's 8+ modules to configure.
- Non-technical users ship workflows. Make requires understanding modules, data structures, and execution order. General Input lets ops, finance, and support teams build their own automations from plain English.
- Three workflow types, one monitoring dashboard. App integrations, deterministic code scripts, and AI agents all deploy and report in the same place. Make separates scenarios and agents, and doesn't offer standalone code workflows.
- Cost per run, not credits per module. Make bills by "operations" consumed across modules, making it hard to predict what a scenario will cost. General Input shows the dollar cost of every execution, broken down by step.
- Self-hosted for compliance. Credentials encrypted and isolated from AI context. Full on-prem deployment for regulated industries. Make is cloud-only.
Better together
Make's visual canvas shines for complex data routing and transformation across its deep catalog. General Input handles the AI-native workflows where speed of building, team access, and cost visibility matter more than visual orchestration.