Anthropic Computer Use vs Make: Which Automation Tool Is Right for You?

Stop Building Integrations. Start Delegating to AI.

What if your AI assistant could literally take over your mouse and keyboard? That is the premise behind Anthropic's Computer Use — and it changes every assumption you had about workflow automation. But before you cancel your Make subscription, read this.

Make (formerly Integromat) has quietly become the backbone of thousands of no-code automation stacks. With over 2,000 app connectors and a visual canvas that even non-developers love, it is the workhorse of the modern ops team. Computer Use is the new challenger — a vision-based AI agent that controls any GUI without APIs. Two very different tools, one very important question: which one actually belongs in your stack?

What Is Anthropic Computer Use?

Computer Use is a capability built into Anthropic's Claude models that allows the AI to autonomously control a computer — clicking buttons, typing text, navigating browsers, reading screens, and executing multi-step tasks across any application. Unlike traditional automation tools, it does not require native integrations or APIs. It works the same way a human would: by looking at the screen and acting on what it sees.

Available via the Anthropic API or through Claude.ai's Operator tier (Max plan), Computer Use is designed for tasks that are too dynamic, too complex, or too legacy-bound for conventional automation pipelines.

What Is Make?

Make is a visual workflow automation platform with over 2,000 pre-built app connectors. Think of it as a programmable flowchart where each node represents an action in an app — create a record in Airtable, send a Slack message, update a Google Sheet. Scenarios run on schedules, webhooks, or real-time triggers, making it ideal for high-volume, structured, repeatable automations.

Make's strength is its reliability and cost efficiency. Once a scenario is built and tested, it runs deterministically thousands of times without supervision.

Key Features Compared

Computer Use

• Vision-based GUI control — no API integration required. Claude reads the screen and acts like a human operator.
• Handles legacy and internal tools — works with any desktop or browser application, including tools with no public API.
• Multi-step reasoning — navigates unexpected UI states, handles ambiguous instructions, and self-corrects mid-task.
• Code execution and file management — writes scripts, manages files, and browses the web end-to-end.
• Self-healing automation — adapts when UI changes without requiring manual updates to your workflow.

Make

• 2,000+ pre-built connectors — Salesforce, HubSpot, Shopify, Google Workspace, and nearly every SaaS tool you use.
• Visual drag-and-drop builder — non-developers can build sophisticated workflows without writing a single line of code.
• Advanced data transformation — built-in functions, filters, and iterators for reshaping data between apps.
• Built-in AI modules — native nodes for OpenAI, Claude, and Gemini to add intelligence to any workflow step.
• Error handling and rollback — production-grade reliability with retry logic and detailed execution logs.
• Team collaboration — version history, scenario templates, and shared workspaces for ops teams.

Pricing

Computer Use Pricing

Computer Use is billed through the Anthropic API based on token consumption:

• Input tokens: $3 per 1M tokens
• Output tokens: $15 per 1M tokens
• Claude.ai Max plan (Operator tier): approximately $200/month for direct access without managing API tokens

Vision-heavy sessions — where Claude processes screenshots frequently — consume tokens quickly. A complex, multi-step task can cost several dollars per run, so Computer Use is best reserved for high-value, low-frequency tasks.

Make Pricing

• Free: $0/month — 1,000 operations, 2 active scenarios
• Core: $10.59/month — 10,000 operations, unlimited scenarios
• Pro: $18.82/month — 10,000 operations plus advanced features including full execution history and custom variables
• Teams: $34.12/month — 10,000 operations plus team seats and collaboration tools
• Enterprise: Custom pricing for high-volume and compliance needs

Make's pricing is highly predictable. At $10–$35/month for tens of thousands of operations, it is one of the most cost-efficient automation platforms on the market.

Pros and Cons

Computer Use — Pros

• Works with any software — no native integration needed
• Handles legacy systems, internal tools, and modern web apps equally well
• Self-healing — adapts when UI changes without code updates
• True general-purpose agent capable of reasoning through ambiguity

Computer Use — Cons

• Expensive at scale — token costs accumulate quickly for long or frequent sessions
• Slower than API-native automations — AI must visually process each screen state
• Requires a sandboxed or virtual environment for safe production use
• Non-deterministic — occasional errors require human oversight
• Still maturing — complex, long-running tasks can lose context

Make — Pros

• Extremely cost-efficient for high-volume, structured automations
• No-code friendly — marketers and ops teams build without engineers
• 2,000+ pre-built connectors drastically reduce setup time
• Highly reliable for deterministic, repeatable workflows
• Strong community with thousands of ready-made scenario templates
• Granular execution logs make debugging straightforward

Make — Cons

• Requires a supported app integration — no connector means manual workarounds
• Complex scenarios can become visually cluttered and hard to maintain at scale
• Not designed for tasks requiring contextual reasoning or handling ambiguity
• AI modules are add-ons, not native — still relies on defined trigger-action logic

Who Is Each Tool For?

Choose Computer Use if:

• You need to automate tasks in software with no public API — legacy ERP systems, internal tools, government portals
• Your workflows require judgment, reasoning, or handling of unexpected edge cases
• You're running low-frequency, high-complexity tasks where per-run cost is acceptable
• You want an AI agent to handle research, data entry, or multi-app workflows without custom integration work

Choose Make if:

• You need to automate high-volume, structured workflows between well-supported SaaS apps
• Your team includes non-technical members who need to own and maintain automations independently
• Cost predictability and reliability matter more than flexibility
• You want to layer AI capabilities — via Claude or OpenAI nodes — on top of existing workflow logic

Verdict: Different Tools, Different Jobs

The honest answer is that Computer Use and Make are not really competing — they solve fundamentally different problems. Make excels at structured, high-volume automations between connected SaaS apps. It is fast, cheap, reliable, and non-technical teams can own it completely. Computer Use excels when there is no API, no connector, and no clean data structure — just a screen and a task that needs to get done.

If you are running a modern ops stack with well-supported tools, Make is the default choice. The ROI is immediate and the monthly cost is negligible relative to the time saved. But if you are wrestling with legacy software, internal tools, or workflows that require real reasoning, Computer Use opens doors that simply did not exist before.

The most forward-looking teams will use both: Make for the structured backbone of their automation stack, and Computer Use for the edge cases that would otherwise require a human.

Ready to Automate Smarter?

Start with Make's free plan to automate your first workflows — no credit card required, and you will see results within an hour. For teams pushing the limits of what automation can do, explore the Anthropic Computer Use API and unlock agent-driven automation across any application in your stack, API or not.