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6 min readFebruary 24, 2026

Make.com vs Fleece: Best Alternative (2026)

ByLoïc Jané·Founder, Fleece AI

Fleece AI vs Make.com: Do You Still Need to Build Workflows Manually?

At a Glance: Make.com is a visual workflow builder with drag-and-drop modules. Fleece AI is a delegative AI workspace where you describe workflows in natural language and autonomous agents execute them across 3,000+ apps. Updated February 2026.

Make.com (formerly Integromat) is the power user's favorite automation tool. Its visual canvas lets you drag, drop, and connect modules to build sophisticated workflows with branching logic, iterators, and error handlers. It's more flexible than Zapier and loved by technically-minded teams.

Gartner forecasts 33% of enterprise software will include agentic AI by 2028. So in 2026, a fundamental question emerges: should you still be building workflows manually?

Fleece AI is a delegative AI workspace where autonomous agents execute multi-step workflows described in natural language. No canvas. No modules. No manual routing. Just AI that understands what you need and does it.

The Visual Workflow Dilemma

Make.com's visual builder is powerful. You can see every step, every branch, every data mapping. For users who want granular control, it's excellent.

But it comes with costs:

  • Learning curve: Make's interface takes days to master. Data mapping, iterators, aggregators, and error handlers each require understanding.
  • Build time: A 5-step workflow can take 30-60 minutes to configure, test, and debug.
  • Maintenance: When an API changes or a step breaks, you're back in the canvas fixing the configuration manually.
  • Scaling: Building 20 automations means 20 separate scenarios to maintain.

The AI-Native Alternative

With Fleece AI, you skip the builder entirely:

"When a new row is added to my Google Sheets 'Leads' tab, enrich the company data by browsing their website, add the enriched data to HubSpot as a new contact, and send a Slack message to #sales with the lead summary."

Fleece AI's agent:

  1. Monitors Google Sheets for new rows
  2. Uses browser automation to research the company
  3. Creates the HubSpot contact with enriched data
  4. Posts the summary to Slack
  5. Runs every time a new lead appears — autonomously

Feature Comparison

FeatureMake.comFleece AI
Setup modelVisual drag-and-drop canvasNatural language description
Learning curveModerate to steepMinimal — describe what you want
AI-nativeNo (AI modules available)Yes — AI is the foundation
Integrations1,800+3,000+ with managed OAuth
Workflow complexityUnlimited (visual branching)Up to 20 steps per execution
SchedulingInterval or instant triggersCron-based + event triggers
Browser automationVia HTTP module (limited)Built-in Playwright
Error handlingManual error routesAI-powered contextual retry
Data mappingManual drag-and-dropAI handles data transformation
MaintenanceManual updates when APIs changeAI adapts dynamically
Pricing modelOperations-basedExecution-based

Skip the canvas — Start free on Fleece AI and describe your first workflow in plain English. No modules to configure.

Where Make.com Excels

  1. Visual transparency: You can see exactly how data flows through your workflow. Every connection, every transformation is visible on the canvas.

  2. Complex branching: Make's routers, iterators, and aggregators let you build workflows with 10+ branches and conditional logic that would be hard to express in natural language.

  3. Granular control: You can set exact data types, add custom HTTP requests, and configure retry behavior for each individual module.

  4. Pricing: Make.com is often cheaper than Zapier for high-volume automations. Their free tier includes 1,000 operations/month.

  5. Data transformation: Make's built-in functions for text manipulation, date parsing, and data formatting are comprehensive.

Where Fleece AI Wins

  1. Zero build time: Describing a workflow takes seconds. Building it in Make takes minutes to hours.

  2. AI-powered decisions: Fleece AI agents can read content, understand context, and make decisions. In Make, you'd need to build complex filter chains for each condition.

  3. More integrations: Fleece AI's 3,000+ managed integrations exceed Make's 1,800+ app library.

  4. Browser automation: Built-in Playwright means Fleece AI agents can browse websites, fill forms, extract data, and take screenshots — tasks that require complex workarounds in Make.

  5. Natural language changes: Want to modify a workflow? Just describe the change. In Make, you're back in the canvas reconnecting modules.

  6. No expertise required: Make.com rewards expertise — the more you learn, the more you can do. Fleece AI delivers value immediately to anyone who can describe a task.

Make.com vs Fleece AI: Real Workflow Comparison

Let's compare how Make.com and Fleece AI handle the same task:

Task: "When a new lead fills a Typeform, enrich their company data, add them to HubSpot, and notify sales in Slack."

In Make.com (estimated setup: 45 minutes):

  1. Create a new Make.com scenario
  2. Add the Typeform trigger module, configure the Make webhook
  3. Add an HTTP module to call an enrichment API, configure headers and body
  4. Add a JSON parser to extract enrichment results
  5. Add a HubSpot module in Make, map each field from Typeform + enrichment to HubSpot fields
  6. Add a Slack module to your Make scenario, configure channel, compose the message
  7. Add Make.com error handlers for each module
  8. Test the Make.com scenario end-to-end
  9. Activate the Make scenario

In Fleece AI (estimated setup: 60 seconds):

  1. Type: "When someone submits the leads Typeform, browse their company website to enrich the data, create a HubSpot contact with all the info, and post a summary to Slack #sales."
  2. Connect Typeform, HubSpot, and Slack (one click each)
  3. Done — the Fleece AI agent handles the rest

Make.com gives you a beautiful visual canvas showing every connection. Fleece AI gives you 44 minutes back.

The Build vs. Delegate Decision

The choice between Make.com and Fleece AI comes down to philosophy:

Make.com: "I want to build and control every step of my Make automation." → Great for technical users who enjoy the Make.com building process and want visual clarity.

Fleece AI: "I want to describe the outcome and let AI handle the execution." → Great for teams that want results without Make.com engineering effort.

Both Make.com and Fleece AI can automate your workflows. Make.com asks you to be the architect. Fleece AI asks you to be the delegator.

Who Should Choose What?

Stay with Make.com if:

  • You enjoy visual workflow building and want granular control over every Make module
  • You have complex branching logic that's hard to express in natural language
  • Your team has deep Make.com expertise and existing Make scenarios to maintain
  • You need very specific data transformation at each step in your Make workflow

Switch from Make.com to Fleece AI if:

  • You want to automate faster — seconds instead of hours of building Make scenarios
  • You need browser automation natively (not available in Make.com)
  • Your team doesn't have (or want) Make.com configuration expertise
  • You want AI-powered error handling instead of manual Make.com error routes
  • You prefer describing outcomes over configuring Make.com processes

Frequently Asked Questions

Is Fleece AI a Make.com replacement?

For teams that want AI-native automation without building visual workflows, yes. For users who prefer granular visual control over every step, Make.com remains excellent.

Does Fleece AI have more integrations than Make.com?

Yes. Fleece AI offers 3,000+ managed integrations via Pipedream, compared to Make.com's 1,800+. Both cover major apps like Gmail, Slack, HubSpot, and Google Sheets.

Is Make.com cheaper than Fleece AI?

Make.com's free tier (1,000 operations/month) is generous. Pricing depends on usage — Make charges per operation, Fleece AI charges per execution. For complex multi-step workflows, Fleece AI can be more cost-effective.

Can I migrate my Make.com scenarios to Fleece AI?

There's no automated migration, but you can describe your existing Make.com scenarios in natural language to Fleece AI. The AI agent recreates the workflow dynamically.

Related Comparisons

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