Make alternative
Make (Integromat) alternative for AI-agent workloads
Make is a visual scenario builder priced per operation. Glitch Grow ships full agent stacks you self-host once and resell forever — different abstraction, different unit economics for managed services.
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TL;DR
Make's Pro plan is $16/mo for 10K ops; Teams is $29/mo (2026 pricing). Operations bill linearly with agent activity, so a moderately busy agent burns the bundle quickly. Glitch Grow is $499 once for six AI agents with built-in agent reasoning, HITL queues, and memory. Make is great for connector-style scenarios; agent-shaped workloads grow expensive fast.
Why people leave Make
Make is a brilliant scenario builder, but operations metering punishes anything that loops, retries, or polls — exactly what agent workloads do. Add HTTP modules calling LLMs, vector DBs, multiple channels for HITL approval, and the operation count climbs faster than the per-client retainer that's supposed to fund it.
Glitch Grow vs Make — feature comparison
| Feature | Glitch Grow | Make |
|---|---|---|
| Pricing model | $499 once | Per-operation metering on monthly tiers |
| Agent reasoning | LangGraph state machine, native | Modules call OpenAI; you wire the loop |
| HITL queue | Discord + Telegram first-click reconciler | Custom modules + waiting webhooks |
| Memory persistence | Postgres + pgvector indexed by decision | External datastore; you maintain it |
| Self-host | Docker, Cloud Run, GCE | Make-hosted only |
| Cost scaling | Flat — infra is the only variable | Operation count × client volume |
| White-label | BSL 1.1 — rebrand and deliver | Make branding visible |
When Make wins
Visual debugging is genuinely useful when you’re learning a new API or debugging a fragile scenario. Make’s interface for inspecting bundle data step-by-step is better than tailing logs on a self-hosted service. If you’re a non-developer freelancer running 1–2 client automations, Make is probably the right tool.
When the math flips
The flip happens at three triggers:
- You start needing agent reasoning loops — plan, act, reflect — not just module chains.
- Your HITL volume grows past what manual Slack messages can manage.
- You’re billing clients monthly retainers for the outcome and need fixed costs to protect margin.
At that point a one-time $499 with self-hosted infra at $40–$150/mo is cheaper than scaling Make operations across multiple clients, and the agent capabilities ship with the kit instead of needing assembly.
Frequently asked questions
-
How do operations work in Make?
Each module run inside a scenario is one operation. An agent that loops 5 times across 4 modules per cycle uses 20 operations. Multiply by daily runs and client count and the budget tier matters. -
Can Make run AI agents?
You can build LLM-driven scenarios with Make's OpenAI and HTTP modules. The orchestration is yours to design — there's no native plan-execute-reflect primitive or HITL queue. -
Should I migrate existing Make scenarios?
Not blindly. If a scenario is genuinely connector glue (form → CRM → Slack), keep it on Make. Migrate only the agent-shaped scenarios to Glitch Grow. -
Does Glitch Grow have a visual scenario builder?
No. The boilerplates are code. The trade-off is that you skip building the agent logic entirely — it's already there. -
What if I outgrow Make's enterprise tier?
Most buyers in that situation rebuild on n8n self-host or LangGraph. Glitch Grow ships the LangGraph layer pre-built so you can skip that rebuild.