toolsmarket-report

The 2026 AI automation tech stack: what professionals actually use

The market has settled: n8n, Make, GoHighLevel, Claude, fast small models, Retell/Vapi, and Hungarian integrations for Billingo, Számlázz.hu and MiniCRM. Why each one, and when.

Published: 5 min read

Written by: The AI Felhasználás team

The stack

The report's 'number one tool' per job and why the profession uses it.

JobNumber-one toolWhy
Workflow engine (pro)n8nOpen source, self-hosted, GDPR-safe, no operation-based cost avalanche, built-in AI agent modules
Workflow engine (fast)MakeIntuitive visual UI, ideal for smaller firms and quick prototypes without code
All-in-one for local service firmsGoHighLevel (GHL)CRM, SMS, calendar, funnels, review management and AI voice in one subscription
Best writing and extraction AIAnthropic ClaudeMost reliable at reading email, extracting structured JSON and natural-style correspondence
Fast, cheap everyday AISmall fast models (Haiku / mini class)Lightning fast, cents per call, for categorisation, filtering and simple summaries
Phone voice AIRetell AI / VapiZero-latency, natural-voice phone assistants with Hungarian support
Hungarian system integrationBillingo / Számlázz.hu / MiniCRMDirect REST APIs into n8n or Make

Per-category stacks

Each category page in our workflow library ends with the report's recommended stack for that area: telephony, STT/TTS, e-signature, OCR, banking APIs, BI, short-video tools and more. Email, voice, SMS, chat, sales, quoting, contracts, invoices, scheduling, data, social, speech/OCR and process automation each have their own table.

Frequently asked questions

n8n or Make for a small business?

Make to prototype fast without a server; n8n once volume grows or data must stay on your own EU server. Many projects start on Make and move to n8n.

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