One receptionist, three engines
Most "Make vs n8n vs Zapier" content is spec sheets copied from pricing pages. So I did something dumber and more useful: I built the same AI phone receptionist three times — once per platform — over one shared voice layer, and wrote down everything that broke.
The project: when a small business misses a call (or it's after hours), an AI voice agent answers, handles questions about services and prices, captures the caller's name, number and preferred slot as structured data, books the appointment on Google Calendar, logs everything and alerts the owner. The repo is public: voice-receptionist.
The shared spine
All three branches consume the same contract: a Vapi end-of-call-report webhook carrying a transcript plus structured data (caller_name, callback_number, intent, service, preferred_slot). Every branch then does the identical dance — validate, conflict-check Google Calendar, book, log, alert the owner through a configurable channel.
Because the voice layer is shared, comparing platforms is apples-to-apples. And because only one branch needs to be live at a time, switching engines mid-pitch is literally changing one URL in Vapi's dashboard.
Make.com: fast to build, sneaky to debug
Make got me working fastest. Native modules for Vapi reports, Google Calendar and Telegram meant almost no custom mapping, and the scenario history shows every module's inputs and outputs — genuinely great debugging UX.
Then the IML expression language fought back. There is no and(), no or(), no empty(). A simple "bookable AND future slot" becomes nested-if() spaghetti. My favorite trap: a filter condition referencing a bare word like book_appointment treats it as an identifier, silently evaluating to null — so my fallback route matched every call, including bookings, and overwrote their log status seconds after booking. The run still reported success.
Two more personality traits: any error auto-deactivates the whole scenario (surprise downtime), and Make routers execute every matching route, not just the first. Both are documented behaviors that will absolutely ruin your afternoon if you assume otherwise.
n8n: the developer's engine
Self-hosted n8n is where the logic got clean. A Code node replaced twenty expressions with fifteen readable lines of JavaScript. Built-in Data Tables gave me a free database. The Switch node actually understands routing.
The tax: you own the plumbing. Webhook payloads arrive wrapped under body, the Set node wants its assignments double-nested in a way no tutorial mentions, and the Google Calendar node refuses Service Accounts — OAuth2 credential or nothing. That last one cost me a rebuild of my auth plan, but the fix was one browser click, and afterwards the workflow felt indestructible. No op quota. No auto-shutdown. Version-controllable JSON.
Zapier: the client's engine
Zapier is the one I can't build programmatically — Zaps are click-ops only — yet it's the one clients love most. The killer pattern: keep configuration in a Google Sheet "Config" tab (alert email, business hours) and look it up at runtime. Non-technical owners edit a spreadsheet; the Zap never changes.
The costs are real though: Webhooks by Zapier sits behind plan tiers, tasks burn on every webhook call, Telegram isn't native (Gmail alerts instead), and Paths are clunky next to even Make's router.
The scorecard
| Criteria | Make | n8n | Zapier |
|---|---|---|---|
| Setup speed | ★★★★★ | ★★★☆☆ | ★★★★☆ |
| Logic flexibility | ★★★☆☆ | ★★★★★ | ★★☆☆☆ |
| Debugging UX | ★★★★☆ | ★★★☆☆ | ★★★☆☆ |
| Cost @100 calls/mo | ops-budget tight | ~free | task-billing bites |
| Sell to SMBs | ★★★★☆ | ★★★☆☆ | ★★★★★ |
| Sell to tech cos | ★★★☆☆ | ★★★★★ | ★★☆☆☆ |
Pick by maintainer, not by feature list
That's the whole lesson. The receptionist logic is identical everywhere; what differs is who suffers when it changes. Client-managed? Zapier, because they can read it. Agency-managed? Make, because you'll debug it fast. Self-hosted or privacy-sensitive client? n8n, because they'll own it forever.
Full scorecard, war stories and the plug-in checklist live in the repo. The simulated pipeline runs today; real phone calls are one Vapi signup away. If your business line rings off the hook and answers itself badly, we should talk. 🥔