Jimleuk This workflow corresponds to n8n.io template #2334 — we link there as the canonical source.
This workflow follows the Chainllm → Outputparserstructured recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
mistralCloudApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
If you have a shared or personal drive location with a high frequency of files created by humans, it can become difficult to organise. This may not matter... until you need to search for something!
Source: https://n8n.io/workflows/2334/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Organise Your Local File Directories With Ai. Uses localFileTrigger, executeCommand, lmChatMistralCloud, outputParserStructured. Event-driven trigger; 16 nodes.
My workflow 53. Uses formTrigger, httpRequest, lmChatOpenAi, form. Event-driven trigger; 74 nodes.
Episode 23: UGC with nanobanana. Uses lmChatOpenAi, lmChatOllama, lmChatDeepSeek, lmChatOpenRouter. Event-driven trigger; 74 nodes.
Content Creators Youtube Automation Marketing Team
This n8n workflow automates the entire process of creating and publishing AI-generated videos, triggered by a simple message from a Telegram bot (YTAdmin). It transforms a text prompt into a structure