n8n: Bielik as Guardrails — Anonymizing Data with a Local LLM

Can a local, Polish-language LLM act as a privacy layer in your automations? In this episode I use Bielik as a guardrails step in n8n that anonymizes personal data — names, addresses, identifiers — before anything leaves your infrastructure.

What the episode covers

• Running Bielik as the anonymization step in an n8n workflow.
• Prompting the model to detect and mask personal data in Polish text.
• Passing the anonymized text on to downstream AI models.

Why a local model

With a local LLM the sensitive data never leaves your environment — the external model only ever sees the anonymized version. For Polish-language data, Bielik has the advantage of natively understanding Polish names, addresses and inflection.

The Polish version of this post includes the full Bielik prompt used in the video: see the PL post.

Watch the episode

The video is available on YouTube: youtube.com/watch?v=xz5k92CuIxI.

All episodes are collected on the Automation Academy page (in Polish). Subscribe to my YouTube channel so you do not miss new material.

The video is in Polish; this post summarizes what it covers.