Automate process improvement with employee feedback using AI and Baserow
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model and Baserow.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set table and field ids (Edit Fields (Set)): sets 7 fields: API Host, Token, Database ID…
- Feedback processing agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 3 tools (tasks_feedback, current_procedures, current_procedure_steps); output parser: Required output schema
- Create improvement suggestions (HTTP Request): calls an HTTP API (POST)
- Get non-processed feedback (Baserow): uses Baserow
- Set feedback to processed (Edit Fields (Set)): sets 2 fields: id, Feedback processed
- Aggregate: combines items into one
- Update tasks to processed feedback (HTTP Request): calls an HTTP API (PATCH)
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Feedback processing agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Feedback processing agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (9)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Baserow Tool
n8n-nodes-base.baserowTool - Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Baserow
n8n-nodes-base.baserow - Aggregate
n8n-nodes-base.aggregate - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This n8n template demonstrates how to automatically process feedback on tasks and procedures using an AI agent. Employees provide feedback after completing a task, which is then analyzed by the AI to suggest improvements to the underlying procedures.…